Browse Topic: Harshness

Items (322)
Simplicity and electrification of the propulsion system are one of the most important trends in vehicle development and integration process. The complexity of NVH (Noise, Vibration and Harshness) design and refinement is the core challenge to this process. Customers’ expectations of an unnoticeable engine during driving make this challenge more critical [1]. Apart from the overall sound pressure level, the sound quality is even more important due to the lack of noise masking effects [2]. Therefore, the development team has reached an internal consensus that NVH attributes are the top priority in engine development. This paper describes the NVH development process of a dedicated hybrid engine for the range extender electric vehicle (REEV) application, beginning with an introduction to REEV system as well as the operating condition data of long-distance road tests. Based on the road test data, the engine technical specification is defined accordingly and broken down into design targets for all individual components. Subsequently the design target is finally achieved through the definition of engine architecture, hardware selection, and individual component simulation and optimization. With regard to the NVH refinement, the NVH issues such as global crankshaft vibration, start impacts, high-pressure fuel system ticking, and acoustic encapsulations studies are discussed. Finally, the appropriate optimization proposals are summarized and the bench test results are presented.
Wang, HaoZhang, Guiqiang
Achieving best-in-class Noise, Vibration, and Harshness (NVH) in electric powertrains demands a paradigm shift in development methodology. This paper presents a practice-oriented overview of simulation methods in NVH development methodology for electric drive units. This includes target cascading and multi-objective optimisation, and by attacking NVH at the source using KPIs early in the design cycle, significant reductions in development time and reliance on traditional testbed loops are realised. Machine learning (Neural Network) algorithms are utilized to find the best-in-class design, using multi-objective optimisation as well as refining simulation accuracy by adding tolerance effects while target cascading ensures alignment of system-level performance objectives down to subsystem contributions. Combined, these strategies enable rapid and robust NVH optimisation, using simulation for next-generation electric powertrain development. Several applications and real-life examples demonstrate how simulation helped with NVH issue identification or improvement.
Mehrgou, MehdiGarcia de Madinabeitia, InigoGraf, BernhardGojo, Josef
Noise, Vibration, and Harshness (NVH) performance is critical in the automotive development process, yet identifying the true root causes of unwanted dynamic behavior remains a challenge in full vehicle or system-level finite element (FEM) models. This work demonstrates how Frequency Based Substructuring (FBS) provides an efficient framework for understanding NVH phenomena and facilitates new root cause analysis (RCA) types and processes. To begin, we prove the numerical accuracy of the FBS algorithm deployed in the presented investigation by comparing its results with those obtained with superelements and without substructuring. We point out that because the used FBS process starts with a modal representation of the components rather than their frequency response functions (FRF) a different class of RCA type becomes available. Then we introduce new RCA types starting with an analysis named Modal Influence (MI) that reveals the effect of the modes of any component on a certain response. Its key characteristic is that MI analysis is not restricted to the response component opposite to the well-known modal participation factors. Finally, a second novel analysis type is introduced, an advanced variant of Transfer Path Analysis (TPA). While standard TPA assesses the paths between only two system components, the new Expanding TPA is a multi-step process that identifies the most critical path across all components in a fully automated way.
Herbst, Markus
Vehicle electrification and accelerated development cycles create a need for virtual Noise, Vibration and Harshness (NVH) development tools which are fast, precise and, seamlessly interchangeable between development sites, suppliers and OEMs. Component-based Transfer Path Analysis (C-TPA), standardized in ISO 20270:2019, enables independent component characterization and integration with virtual models to predict sound and vibration in new assemblies, referred to as Virtual Prototype Assemblies (VPA). However, conventional measurements are labor-intensive, typically restricted to a small number of samples, and overlook production variability. This paper introduces a fully automated, ISO 20270-compliant C-TPA system for non-rigid test benches, featuring a pre-instrumented test fixture with multiple vibration shakers and sensors automatically linked to a data acquisition system for immediate processing. Components can be characterized within minutes, with blocked forces directly integrated into a VPA workflow, replacing time-intensive in-vehicle testing with a repeatable, operator-independent bench procedure. A case study on an automotive steering system demonstrates the method’s accuracy, repeatability, and efficiency, along with its ability to predict realistic interior sound pressure levels and capture production variability, enabling robust virtual NVH evaluation early in the development cycle.
Sturm, MichaelWienen, KevinBrandstetter, MarkusSorber, EricCorbeels, PatrickVerrecas, BartGonçalves, Vinícius
Vehicle sound packages are usually designed to provide a given level of vehicle Noise, Vibration, and Harshness (NVH) comfort, within weight and cost constraints. Optimal comfort results can be obtained by considering the interaction of all the parts as a full physical system. So far, extensive research has already been performed and published on optimizing vehicle sound packages to achieve effective noise reduction at lowest cost and weight. Nowadays, due to the urgency of the transition to carbon neutrality, sound packages must also address the reduction of the full vehicle life cycle carbon emissions. Sound package components should use materials that have a low emission impact during production and that are suitable for recycling at the end of the vehicle’s life. This entails reconsidering the material solutions chosen for the sound package as a whole, rather than for each individual component. This article describes possible differentiations in the design of a sound package involving NVH, sustainability, and weight/cost requirements. The study examines how interior and exterior trim components were combined to achieve both optimal NVH and polymer rationalization, through the introduction of mono-material parts and focusing in particular on the use of a new polyester fiber-based floor decoupler, which achieves comparable NVH performance to polyurethane foam without affecting static compression. The article summarizes the vehicle-level performance related to NVH, sustainability, and weight for three sound packages prioritizing either NVH, sustainability or material cost, including a breakdown to analyze the contributions of various components to the overall outcome. A simple metric is introduced to evaluate sustainability, including material, production, use-phase and end-of-life related Greenhouse Gas (GHG) emissions [7–10]. The NVH evaluation involves measuring airborne transfer functions (ATF), complemented by indoor road noise tests. NVH improvements were achieved without an increase in weight, and weight reduction was also possible without negatively impacting NVH performance, both results enhancing the carbon footprint.
Courtois, TheophaneCardillo, MarcoCriscione, MattiaGerges, YoussefMassocco, Andrea
Space vector pulse width modulation (SVPWM) induces common-mode voltage (CMV) in three-phase voltage-source inverters, producing steep voltage edges that can lead to high leakage currents. In electric drive applications, these currents accelerate motor bearing degradation and may cause winding insulation failure. Active-zero-state PWM (AZSPWM) and near-state PWM (NSPWM) have been proposed as alternative modulation strategies to mitigate CMV and reduce drive degradation. This paper investigates the noise, vibration, and harshness performance of AZSPWM and NSPWM in comparison with conventional SVPWM. The proposed CMV reduction schemes are evaluated in terms of both CMV mitigation and their impact on high-frequency sideband vibration harmonics. Experimental results demonstrate that the CMV reduction strategies are highly effective in lowering CMV levels relative to SVPWM; however, this benefit is accompanied by an increase in vibration levels, which may adversely affect the mechanical integrity of the drive system despite the reduction in bearing leakage currents.
Khamis, Mahmoud AlyTatar, Andrei AlexandruRepecho, VictorDoria-Cerezo, Arnau
Recent advancements in system-level NVH (Noise, Vibration, and Harshness) development methodologies have improved target cascading and enabled more efficient system-level optimization. Dynamic substructuring facilitates the virtual integration and modification of multiple subsystems and the prediction of changes in overall transfer functions. In practical automotive applications, advanced frequency-based substructuring has been applied to virtually modify system parameters, such as mass and stiffness, at multiple points in a target system, allowing prediction of the resulting effects and optimization of parameter changes without physical intervention. This study extends the methodology by introducing an enhanced substructuring approach capable of addressing not only basic parameter modifications but also large-scale structural changes. The proposed process involves identifying the characteristics of a base system assembly and a target subsystem, decoupling the subsystem from the assembly, incorporating structural modifications, and predicting the resulting transfer function changes. The method was validated through two complementary workflows: a fully experimental test-based workflow and a hybrid workflow. The test-based workflow demonstrated the reliability of substructuring operations, decoupling and coupling, by experimentally evaluating the base assembly, the original subsystem, and the structurally modified subsystem. The hybrid workflow replaced the experimental subsystem models with finite element models, thereby demonstrating the feasibility of substructuring numerical subsystem models with a physical system assembly. Together, these workflows are applied to one of automotive suspension subsystems, cross-member, which can establish the accuracy, flexibility, and practical applicability of the proposed method in supporting system-level NVH development and structural optimization.
Cho, MunhwanBoelens, JelleReichart, Ronde Klerk, DennisAhn, Jiho
This work presents a modular engineering methodology (DiPhyBa - Digital Physical Balance) for the virtual validation of Noise, Vibration, and Harshness (NVH) performance in automotive development. The approach addresses the inefficiency of repeated physical testing across vehicle variants by introducing a structured two-phase process—Launcher and Reskin—centered on quantitative performance indicators with formal acceptance thresholds. In the Launcher phase, a digital replica of the base vehicle is built and iteratively correlated with physical test data. Validation is governed by objective indicators of confidence, conformity, and correlation, each evaluated against predefined thresholds. Once validated, the model becomes a certified reference, enabling its reuse across derivative configurations in the Reskin phase. Physical testing is only required if indicators fall below threshold, with a final gate test on pre-series vehicles ensuring industrial robustness. DiPhyBa formalizes the decision to replace physical testing with simulation, introducing automation, traceability, and repeatability into the validation workflow. The method is scalable across platforms and adaptable to other technical domains such as durability, thermal, and safety. The long-term industrial ambition is to progressively minimize redundant NVH testing on vehicle variants. Early applications demonstrate significant reductions in development time and cost, while enhancing confidence in simulation-based decisions. DiPhyBa bridges the gap between digital simulation and industrial validation, offering a new standard for virtual engineering in the automotive sector.
Celiberti, LuciaCamia, Andrea
The virtual development of Electric Drive Modules (EDMs) for Battery Electric Vehicles (BEVs) requires proven and predictive methodologies. One part of the development investigates the vibro-acoustic assessment for the low- and high-frequency ranges within the targeted operating range. The efficient use of such a methodology requires an understanding of the accuracy and validity of the achievable results, as well as the derivation of suitable improvement measures for goals that have not been achieved. The use of reference data from experimental investigations and a detailed root cause analysis (RCA), to directly link a specific response and behavior to the excitations, modal content, and transfer functions, is an essential and non-trivial part of the methodology development. This paper describes the development of such a methodology using the example of a new EDM virtual model for Noise, Vibration and Harshness (NVH) analysis, including the simulation approach, validation, and evaluation procedure. It discusses how RCA can be applied to different observed phenomena in EDM NVH behavior and detected deviations between the initial model and the measurements, the main influencing parameters, and the identified improvement potential for simulation models.
Klarin, BorislavPevec, DenisResch, ThomasEsposito, SaraD'Alessandro, VincenzoSpanu, Giorgio
The Noise, Vibration, and Harshness (NVH) quality of electric vehicles (EVs) is heavily influenced by the performance of the electric drive unit. As a critical step in production, End-of-Line (EOL) testing of drive units is used to assess and control component-level NVH before vehicle assembly. However, the correlation between EOL test results and final vehicle interior noise quality, which directly impacts customer satisfaction, is not always fully understood. This paper presents a methodology for characterizing and predicting vehicle interior noise quality based on data from drive unit EOL vibration testing. Our study investigates the intricate relationship between drive unit assembly variations, component tolerances, and the resulting vibration response. We establish a robust correlation between these drive unit characteristics and both objective vehicle interior noise levels and subjective customer perception. The findings provide a framework for using EOL data to proactively identify critical manufacturing risks and optimize processes. This approach not only facilitates the delivery of a superior, noise-concern-free product but also contributes to reducing manufacturing costs by minimizing scrap and rework. This research advances NVH quality assessment for EVs and provides manufacturers with a vital tool to enhance customer experience and satisfaction in a competitive market.
Arvanitis, AnastasiosJangid, Kuldeep
Dog clutches have long been employed in the automotive industry across various applications, including transmission systems, transfer cases, axle disconnects, and hybrid driveline architectures. Their ability to provide direct mechanical engagement makes it ideal for torque transmission with minimal energy loss. However, the transition between engaged and disengaged states can introduce noise, vibration, and harshness (NVH), which may be perceptible to vehicle occupants and affect overall driving comfort. A typical dog clutch relies on interlocking teeth for torque transfer, and its actuation can result in NVH due to factors such as friction between mating surfaces, backlash between engagement components, teeth-on-teeth contact during synchronization, and impact forces during clutch engagement. This paper presents Stellantis’s approach to controlling the actuator system to mitigate NVH effects during clutch engagement and disengagement, focusing on strategies that enhance drivability and system refinement in electrified vehicle platforms.
Xu, ChengyiMadireddy, Krishna ChaitanyaVerhun, Brandon
Limited published research has critically examined the impact of Cell-to-Chassis (CTC) structures on the Noise, Vibration, and Harshness (NVH) performance of electric vehicles (EVs), with most studies focusing on conventional Cell-to-Pack (CTP) systems. A concern is that vehicles employing CTC architectures may exhibit compromised NVH performance due to the absence of a dedicated floor panel. To investigate the NVH performance implications of the CTC structure, this study adopts a comprehensive methodology encompassing: (1) theoretical Sound Transmission Loss (STL) analysis utilizing mass law and double-panel principles, (2) finite element (FE) modeling of STL, (3) in-vehicle Acoustic Transfer Function (ATF) testing, and (4) interior noise measurements conducted at a constant 60 km/h on a smooth asphalt road. Simulation results demonstrate that, compared to a conventional CTP floor system, the studied CTC structure achieves a 5–40 dB increase in STL across the 200–2000 Hz frequency range. This finding is consistent with theoretical calculations. Furthermore, experimental results from in-vehicle ATF and interior noise tests reveal no significant acoustic difference in the 400–1400 Hz frequency range, which is primarily associated with tire noise, between a configuration with complete floor insulation (including carpeting) and one with insulation (including carpeting) removed from the CTC area. This research validates an effective simulation method for floor system STL and demonstrates that the acoustic insulation performance of the CTC structure enables potential cost and weight reductions by minimizing the requirement for traditional carpeting and sound insulation pads. This approach also suggests a pathway to reducing Volatile Organic Compound (VOC) emissions from these ancillary materials.
Xu, XueyingWang, XiaomingMa, CaijunLi, Guofu
The rising demand for high-performance 4x4 electric vehicles (EVs) has necessitated development in Noise, vibration and harshness (NVH) optimization, especially in critical components such as compressor bracket. This study focuses on NVH optimization of a dual-stage compressor bracket, comparing its performance against conventional single stage isolation bracket. The dual-stage bracket is evaluated for isolation effectiveness, modal frequency alignment, and overall NVH performance, while ensuring compliance with stiffness targets. Additionally, dual-stage design meets stringent stiffness requirement, confirming structural integrity under dynamic loads. Modal analysis results reveal that the dual-stage configuration effectively shifts critical frequencies away from operational ranges, reducing resonance risks. The results highlight the dual-stage bracket's ability to address NVH challenges in high-performance 4x4 EVs, offering a robust solution for improving cabin comfort and vehicle refinement. This study provides insights for engineers seeking to optimize NVH performance in EV powertrain components, emphasizing the trade-offs between isolation effectiveness, modal behavior, and structural stiffness.
Hazra, SandipTangadpalliwar, Sonali
Automotive driveline design plays an important role in defining a vehicle’s Noise, Vibration and Harshness (NVH) characteristics. Driveline system, responsible for torque transfer from the engine/transmission to the wheels, is exposed to a wide spectrum of vibrational excitations. The industry’s shift toward turbocharged engines with fewer cylinders while maintaining the equivalent torque and power has led to increased low-frequency torsional vibrations. This paper presents some key design considerations to drive the NVH design of a driveline system using linear dynamic FE simulations. Using an E-W All-Wheel Drive driveline architecture with independent suspension as a case study, the influence of various subsystem modes on driveline NVH performance is examined. The paper further explores the strategies for vibration isolation, motion control, and mode management to identify the optimal bushing rates and its location. Furthermore, it examines the ideal bushing specifications for different rear differential module (RDM) configurations. Excitation scenarios including propshaft imbalance, engine block vibration, torsional vibration, and axle whine are analyzed as distinct load cases. The study also emphasizes how propshaft mode segmentation affects force transmission to vehicle body under the driveline excitations. The findings contribute to a deeper understanding of driveline NVH behavior and offer practical guidance for achieving improved driveline NVH performance.
Joshi, Atul KamalakarraoSubramanian, MANOJ
In automotive suspension systems, components like bump stoppers and jounce bumpers play critical roles in controlling suspension travel and enhancing ride comfort. Material selection for these components is driven by functional demands and performance criteria. Traditionally, Natural rubber (NR) has traditionally been favored for bump stopper applications due to its excellent vibration absorption, tear resistance, cost-effectiveness, and biodegradability. However, in more demanding environments, it has been largely replaced by microcellular polyurethane (PU) elastomers, which offer superior durability, environmental resistance, and enhanced noise, vibration, and harshness (NVH) performance. This study revisits NR with the goal of re-establishing its viability by enhancing its performance to match or surpass that of PU. Through compound optimization and advanced material processing techniques, significant improvements have been achieved in NR’s mechanical strength, compression set resistance, and environmental durability. Also a convolute bump stopper design was explored to enhance energy absorption and packaging efficiency. Compared to traditional solid profiles, the convoluted geometry provided progressive stiffness characteristics, improved deformation control, and optimized ride comfort under dynamic loading conditions. Traditional NR design and formulation were compared against PU and next-generation NR in terms of Aging Durability Factor, stiffness, fatigue durability, vehicle-level buzz, squeak, and rattle (BSR), as well as ride and handling performance. A comparative assessment of carbon emissions between PU and NR was also conducted to evaluate environmental impact. The result is a next-generation NR formulation that delivers performance comparable to PU while retaining the ecological and economic advantages of natural rubber. This research demonstrates a sustainable pathway toward high-performance elastomeric materials, bridging the gap between conventional and advanced solutions in modern engineering applications.
Murugesan, AnnarajanHingalaje, AbhijeetPerumal, MathavanPawar, Rohit
Diesel powertrains are inherently characterized by high vibration levels and low-frequency excitations, which are extremely demanding for passenger comfort and vehicle refinement. Conventional passive engine mounts often fall short in mitigating such vibrations effectively across a wide range of operating conditions. Passive mounts are inadequate for effectively isolating vibrations in powerful, lightweight vehicles or those without a balancer shaft 3-cylinder engine ordiesel engines. Consequently, this has prompted the consideration of active engine mounts as an alternative solution for solving NVH (Noise, Vibration, Harshness)-related issues. This paper explores the application of adaptive control algorithms in active engine mount systems for diesel powertrains in passenger vehicles. Through the integration of real-time feedback loops with smart control strategies the system adaptively controls mount stiffness and damping to minimize engine-induced vibrations. The study presents simulation and experimental results showing enhanced vibration isolation, better ride quality, and lower transmitted forces to the vehicle chassis. In addition, the adaptive control ensures high robustness under varying driving conditions, such as load variations and engine transients. This trend opens up the future for next-generation diesel vehicle NVH solutions with a comfort-performance-fuel efficiency balance.
Hazra, SandipKhan, Arkadip Amitavamore, Vishwas
Balance towards various Vehicle attributes often faces design contradictions, particularly in Noise, Vibration, and Harshness (NVH) optimization. Traditional approaches rely on trade-offs, but TRIZ (Theory of Inventive Problem Solving) offers a structured methodology to resolve contradictions innovatively. This paper presents TRIZ-based solutions for 2 key NVH challenges: (1) exhaust systems requiring noise reduction while maintaining low engine back-pressure, (2) engine mounts requiring both softness for vibration isolation and hardness for durability & vehicle stability, By applying TRIZ principles such as separation, mechanics change, etc. and using Thinking Tools such as thinking in time & scale, novel solutions are proposed to achieve superior performance without traditional compromises. These case studies demonstrate how TRIZ enhances automotive NVH refinements by enabling systematic innovations. This also explores benefits of Frugal Engineering for profitable launch of new vehicles in the market without sacrifice of customer satisfaction. At the same time, new innovative solutions are generated using past-present-future prediction models.
A, Milind Ambardekar
Body-on-frame vehicles are well-regarded for their durability and off-road capabilities, but their structural design often makes them more vulnerable to noise, vibration, and harshness (NVH) issues. Vibrations originating from uneven roads are transmitted through the suspension and steering assemblies, sometimes resulting in rattles or other disturbances. These vibrations can be amplified by the inherent flexibility in the body-to-frame mounting system. In such vehicles, the steering system plays a critical role in driver comfort and is highly sensitive to vibrational inputs from the road surface, especially on coarse or uneven terrain. Occasionally, these inputs result in subtle rattle noises that are perceptible only to the driver and may not be detected under controlled testing environments. This poses a challenge for engineers trying to isolate and resolve such intermittent NVH phenomena. Identifying the source requires a combination of real-world driving evaluations, structural analysis, and vibration measurement techniques. This paper presents a case study of an intermittent steering-related rattle noise in a body-on-frame D-SUV with a column EPS steering system. A systematic investigation using on-road testing and accelerometer-based diagnostics was conducted. Through targeted design enhancements focused on improving system stiffness and connection integrity, the issue was resolved effectively. The approach outlined offers a replicable methodology for diagnosing and mitigating similar NVH concerns in other vehicle platforms, thereby contributing to improved driver comfort and product refinement.
Ramesh Chand, Karan KumarGopinathan, HaridossKabdal, Amit
The evolution of electric vehicles (EVs) also demands the evolution of powertrain mounting systems to achieve superior Noise, Vibration, and Harshness (NVH) performance. This study presents a comparative evaluation of cradle, saddle and ladder mounting systems in EV applications. Examples of experimental modal analysis and vehicle-level vibration tests were performed in order to evaluate structure-borne noise transmission as well as airborne noise transfer under operating conditions. Important parameters like mount stiffness, isolation efficiency and dynamic load distribution were performed. These findings provide valuable guidance for selecting optimal mount strategies to enhance occupant comfort and acoustic quality in future EV designs. Recommendations for mount system improvements considering evolving EV architectures are also discussed. This work provides a crucial, experimentally-validated framework for selecting optimal mounting architectures, addressing a key gap in the transition from ICE-based intuition to EV-specific design principles.
Hazra, Sandipmore, VishwasNaik, Sarang Pramod
Custom electrohydraulic solutions can address unique demands not satisfied by standard components. As mobile equipment is pushed to perform in increasingly demanding and challenging environments - ranging from frozen construction sites to harsh marine applications - some OEMs are discovering that customized solutions can provide significant advantages. Standard electronic controls and hydraulic components are carefully engineered to meet the requirements of a broad range of typical applications. For many OEMs, these components provide a dependable and cost-effective foundation, especially in environments and duties that don't push operational boundaries.
Cooper, Robin
The rapid evolution of autonomy in Off-Highway Vehicles (OHVs)—spanning agriculture, mining, and construction—demands robust cybersecurity strategies. Sensor-control systems, the cognitive core of autonomous OHVs, operate in harsh, connectivity-limited environments. This paper presents a structured approach to applying threat modeling to these architectures, ensuring secure-by-design systems that uphold safety, resilience, and operational integrity.
Kotal, Amit
Automatic transfer switches (ATS) play an important role in the providing uninterrupted power to various applications like data Centre, hospitals etc. They can be connected between two utility sources, two gensets or a combination of them. It operates when one of the sources to which the load is connected is not available or the preferred source is up. While they do their job smoothly, they internally see harsh conditions. When an active source disconnects, an arc is generated between the contacts. The arc forms when the current jumps through the small air gap breaking it into ions and electrons at very high temperatures, typically above 10000K. This arc needs to be quenched quickly to avoid damage to the contacts and current carrying conductors. This paper throws light on an in-house methodology that is developed using the commercial tool Ansys Fluent. The physics of arc consisting of flow, thermal and electromagnetic fields are modelled. This paper includes the simulation of arc propagation along with the moving arm and effect of arc roots formed at the arc chute plates that help in quenching the arc. When the arc gets in contact with the splitter plates the plasma sheath layer gets formed. This results in a voltage drop across both sides of plates. A mechanism is devised in house to model this effect of arc roots and validate using the available literature. When the current is flowing through the air it generates a magnetic field which causes the movement of the arc. For introducing this effect User defined scalars are used to incorporate the governing equation for magnetic field and User Defined Function (UDF) is used to calculate the magnetic field. The simulation results are validated with test.
Gaikwad, Nikhil RavindraBadhe, Vivek
As mission-critical systems demand more processing power, real-time data movement, and multi-domain interoperability, rugged embedded systems are being transformed. Today's military and aerospace applications increasingly demand the merging of AI computing, enhanced sensor interfaces, and cybersecurity - all under harsh environmental conditions. At the heart of this evolution is the 3U OpenVPX form factor, a modular, compact, and ruggedized hardware standard and increasingly the SOSA aligned subset of the architecture. However, next-generation systems need to go further: supporting higher bandwidth, better thermal efficiency, improved security, while maintaining multi-vendor interoperability and long-term sustainability. We'll discuss some of today's enclosure solutions as well as emerging technologies.
In this article, the authors present the various choices made to design a magnet free and directly recyclable pure synchro-reluctant (Pure-SynRel) machine with asymmetrical poles operating at a maximum speed of ~21,000 rpm dedicated to automotive. This project focused on identifying design levers and optimizing the magnetic circuit to address three well-known challenges of this topology that limit its application as an automotive traction machine. These challenges include: maximizing the power factor to reduce inverter rating and cost, minimizing sources of NVH (noise, vibration, and harshness) and torque ripples, and ultimately maximizing efficiency to bridge the performance gap with magnet-based technologies (PMaSynRel). The sizing of stator components—such as the choice of winding (concentric or distributed, full or fractional pitch, round or hairpin wire)—and rotor components (e.g., the number of pole pairs, shape, and number of barriers) are explained. Additionally, the optimization methods and mechanical solutions employed to achieve maximum speed are detailed. A machine with symmetrical poles was firstly designed, with torque ripples of 24% which is over the automotive acceptation levels. Based on this version, an adjacent asymmetrical pole was created, reducing the torque ripple by 56% and limiting the torque drop to 6%. After optimization, the proposed machine generates a maximum torque of 172 N.m and 220 kW of maximum power. The torque ripple and power factor at maximum power are 14% and 0.64 respectively. A prototype is currently being built and will be tested on a test bench at IFPEN. The theoretical expectations will be verified and presented in a future paper.
Applagnat-Tartet, AntoineMilosavljevic, MisaDelpit, Pierre
This research addresses the issue of noise, vibration, and harshness (NVH) in electric buses, which can hinder their widespread adoption despite their environmental benefits. With the absence of traditional engines, NVH control in electric vehicles focuses on auxiliary components like the air compressor. In this study, the air compressor was identified as a major source of vibration, causing harsh contact between its oil sumps and mounting bracket. Analyzing the vibrations revealed that the sump and bracket were not moving freely, increasing noise. Modifying the bracket design to allow more movement between the components successfully reduced both noise and vibration. The paper details the experimental process, findings, and structural damping methods to mitigate NVH in electric buses.
Paroche, SonuPatel, ShubhanshiPatidar, Ashok Kumar
A good Noise, Vibration, and Harshness (NVH) environment in a vehicle plays an important role in attracting a large customer base in the automotive market. Hence, NVH has been given significant priority while considering automotive design. NVH performance is monitored using simulations early during the design phase and testing in later prototype stages in the automotive industry. Meeting NVH performance targets possesses a greater risk related to design modifications in addition to the cost and time associated with the development process. Hence, a more enhanced and matured design process involves Design Point Analysis (DPA), which is essentially a decision-making process in which analytical tools derived from basic sciences, mathematics, statistics, and engineering fundamentals are used to develop a product model that better fulfills the predefined requirement. This paper shows the systematic approach of conducting a Design Point Analysis-level NVH study to evaluate the acoustic performance of vehicle door systems in terms of transmission loss. This is a very important and useful effort by the design team to avoid the risk of later design changes in automotive door systems for better NVH performance. Statistical energy analysis is used for setup and prediction of transmission loss across a wide frequency range up to 10000 Hz. Various design parameters for vehicle door systems are studied to evaluate their impact on transmission loss and vehicle NVH performance.
Ranade, Amod A.Shirode, Satish V.Miskin, AtulMahamuni, Ketan J.Shinde, RahulChowdhury, AshokGhan, Pravin
Two wheeler is important and essential transportation mode in many of the countries across the globe. Designing a motorcycle with better riding comfort and minimal vibration are thus a major challenge for engineers now a day. Engine and road excitations are two source of vibration acting on motor bike or scooter both. These vibrations are transmitted to the chassis, sub chassis, aesthetic parts and then to the rider and pillion. Unwanted vibrations will create discomfort to the rider/pillion and produce noise. Hence, these need to be minimized. This study is focus on diagnosis and control of output vibration response of sub chassis/aesthetic parts due to engine unbalanced excitation force. There are numerous parameter of motor bike/scooter that governs the vibration response of sub chassis/aesthetic parts. Engine unbalanced inertia force characteristics and their transmission to rider and pillion has been studied and reported here. Environmental benefit demands for a complete noise, vibration and harshness (NVH) refinement for lesser pollution especially that of an engine, chassis, sub chassis and aesthetic parts. The objective of current study is to develop an analytical approach to predict output vibration response of sub chassis/ aesthetic parts in isolation of engine and chassis as they are mostly common from mass production model. Semi implicit procedure based on simulation and testing has been developed. Developed procedure is well supported mathematically and validated through physical testing measurement.
Khare, Saharash
This paper introduces a novel, automated approach for identifying and classifying full vehicle mode shapes using Graph Neural Networks (GNNs), a deep learning model for graph-structured data. Mode shape identification and naming refers to classifying deformation patterns in structures vibrating at natural frequencies with systematic naming based on the movement or deformation type. Many times, these mode shapes are named based on the type of movement or deformation involved. The systematic naming of mode shapes and their frequencies is essential for understanding structural dynamics and “Modal Alignment” or “Modal Separation” charts used in Noise, Vibration and Harshness (NVH) analysis. Current methods are manual, time-consuming, and rely on expert judgment. The integration of GNNs into mode shape classification represents a significant advancement in vehicle modal identification and structure design. Results demonstrate that GNNs offer superior accuracy and efficiency compared to current labor intensive manual modes labelling, making this innovative approach promising for vehicle NVH/dynamics analysis and structural design.
Tohmuang, SitthichartSwayze, James L.Fard, MohammadFayek, HaythamMarzocca, PiergiovanniBhide, SanjayHuber, John
Permanent magnet synchronous motors (PMSM) are among the most promising motors in electric vehicles due to their high torque density and efficiency. This paper is devoted to detailed electromagnetic investigations of permanent magnet synchronous motor, accounting for specific rotor eccentricity and uneven magnetization. A series of simulations are performed for a 90 HP interior PMSM to investigate the changes in the radial and tangential forces when the rotor is perfectly aligned or with static, dynamic, and mixed eccentricities. Besides, the influence of uneven magnetization due to manufacturing, demagnetization, and magnet deterioration is discussed. The forces are then used to load a vibro-acoustic model to evaluate the impact on the noise, vibration, and harshness (NVH) performance and predict the radiated sound power level for the different conditions.
Hadjit, RabahKebir, AhmedFelice, Mario
The author’s life work in acoustics and sound quality, continuous over more than 40 years, has followed a number of branches all involving measurement technologies and their evolution. The illustrated discussion begins 60 years ago in 1965 at Arizona State University in its Frank Lloyd Wright-designed Gammage Auditorium, and moves to the Research and Development Division of Kimball International, Inc. (Jasper, Indiana) in 1976 with piano research using a Federal Scientific Ubiquitous analog real-time FFT analyzer and Chladni-plate-mode studies with fine sand and high-speed photography of sound board modes. It continues at Jaffe Acoustics, Inc., a concert-hall-specializing consultancy in Norwalk, CT, with early-reflection plotting using a parabolic microphone on an altazimuth angular-readout mounting and either photographing oscillograms, or running a high-speed paper chart printer, assembling “wheel plots” incremented every 10 degrees in azimuth and altitude to map reflection patterns. Involvement with binaural technique began for me in 1986 and led me into the automotive industry, whose SQ evolution and that of HEAD acoustics will be outlined along with an earlier side-branch courtesy of James Shedlowsky (GM retired): a photo-archive of GM pseudo-binaural and binaural techniques and jury evaluations starting in 1952 which has been presented in an earlier Noise and Vibration Conference’s Science Fair.
Bray, Wade
Bearings are fundamental components in automotive systems, ensuring smooth operation, efficiency, and longevity. They are widely used in various automotive systems such as wheel hubs, transmissions, engines, steering systems etc. Early detection of bearing defects during End-of-Line (EOL) testing and operational phases is crucial for preventive maintenance, thereby preventing system malfunctions. In the era of Industry 4.0, vibrational, accelerometer, and other IoT sensors are actively engaged in capturing performance data and identifying defects. These sensors generate vast amounts of data, enabling the development of advanced data-driven applications and leveraging deep learning models. While deep learning approaches have shown promising results in bearing fault diagnosis, they often require extensive data, complex model architectures, and specialized hardware. This study proposes a novel method leveraging the capabilities of Vision Language Models (VLMs) and Large Language Models (LLMs) for accurate and efficient bearing defect classification. The dataset used in this study is sourced from the Case Western Reserve University (CWRU) bearing failure laboratory, comprising data on approximately 12 different bearing health conditions. The CWRU dataset is widely recognized as a benchmark for validating fault detection models. Vibration sensor data from the bearing is transformed into time-frequency spectrograms using Short-Time Fourier Transform (STFT). Advanced prompt engineering techniques guide the VLMs to extract discriminative features from these spectrograms. The extracted features are then processed by LLMs for defect classification. This approach achieved 90% overall F1 score in test set, comparable to state-of-the-art deep learning methods, while offering advantages in terms of simplicity, generalizability, and reduced computational requirements. Also, this methodology has broad applicability in various domains involving spectrogram analysis, particularly in similar noise and vibration signal applications.
Chandrasekaran, BalajiCury, Rudoniel
Tires have a significant impact on vehicle road noise. The noise in 80~160Hz is easily felt when driving on rough roads and has a great relationship with the tire structural design. How to improve the problem through tire simulation has become an important issue. Therefore, this paper puts forward the concept of virtual tire tuning to optimize the noise. An appropriate tire model is crucial for road noise performance, and the CDtire (Comfort and Durability Tire) model was used in the article. After conducting experimental validation to get an accurate tire model, adjust the parameters and structure of the tire model to generate alternative model scenarios. The transfer function of the tire center was analyzed and set as the evaluation condition for tire NVH (Noise, vibration, and harshness) performance. This enabled a comparison among various model scenarios to identify the best-performing tire scenario in focused frequency whose transfer function needed to be lowest. Manufacture the prototype tire based on the tire simulation, which required a correspondence between the tire model and the physical tire.
Zhang, BenYu Sr, JingChen, QimiaoLiu, XianchenGu, Perry
Road noise caused by road excitation is a critical factor for vehicle NVH (Noise, Vibration, and Harshness) performance. However, assessing the individual contribution of components, particularly bushings, to NVH performance is generally challenging, as automobiles are composed of numerous interconnected parts. This study describes the application of Component Transfer Path Analysis (CTPA) on a full vehicle to provide insights into improving NVH performance. With the aid of Virtual Point Transformation (VPT), blocked forces are determined at the wheel hubs; afterward, a TPA is carried out. As blocked forces at the wheel hub are independent of the vehicle dynamics, these forces can be used in simulations of modified vehicle components. These results allow for the estimation of vehicle road noise. To simulate changes in vehicle components, including wheel/tire and rubber bushings, Frequency-Based Substructuring (FBS) is used to modify the vehicle setup in a simulation model. In this process, analytic springs were added in parallel to the actual rubber mounts, which were also measured using VPT on the actual vehicle. These springs simulate positive or negative changes in stiffness, allowing the study of how changes in the rubber mounts affect the vehicle's NVH performance. In this study, a sensitivity analysis was conducted using the FBS model to observe changes in road noise resulting from variations in bushing stiffness and blocked force. Based on the results of this analysis, the optimal combination of components was proposed for reducing the road noise. This approach provides an efficient and accurate method for analyzing the effects of rubber mount modifications on NVH performance.
Kim, JunguReichart, Ronde Klerk, DennisSchütler, WillemMalic, MarioKim, HyeongjunKim, Uije
Polymer composites, such as fiber-reinforced plastics (FRPs), are widely used in shipbuilding, aerospace, and automobile industries due to their lightweight and high strengths. In real-world conditions, ship hulls are exposed to harsh environmental factors, including variations in moisture and salinity. FRPs tend to absorb water and moisture, leading to an increase in weight and a reduction in strengths over time, which is undesirable for ship and aircraft structures. This study investigates the reduction in energy absorption and specific energy absorption of glass FRPs (GFRP) and aluminum honeycomb sandwich composites (AHSC) due to exposure to moisture and salinity. Experimental analysis was conducted by immersing the materials in saline and non-saline water. A comparative assessment of the percentage reduction in specific energy absorption (SEA) of GFRP and AHSC is presented. Additionally, the influence of honeycomb parameters such as cell size (CS), foil thickness (FT), and core height (CH) on SEA has been analyzed. Results indicate a 27% reduction in SEA for GFRP and a 7% reduction for AHSC due to water absorption. Furthermore, SEA in AHSC can be improved by changing honeycomb parameters, with foil thickness having the most significant impact on SEA enhancement.
Rajput, ArunKumar, AshwinSunny, Mohhamed RabiusChavhan, Harikrishna
Unmanned Underwater Vehicles (UUVs) are used around the world to conduct difficult environmental, remote, oceanic, defense and rescue missions in often unpredictable and harsh conditions. A new study led by Flinders University and French researchers has now used a novel bio-inspired computing artificial intelligence solution to improve the potential of UUVs and other adaptive control systems to operate more reliability in rough seas and other unpredictable conditions.
Noise, Vibration, and Harshness (NVH) simulations of vehicle bodies are crucial for assessing performance during the design phase. However, these simulations typically require detailed computer-aided design (CAD) models and are time-consuming. In the early stages of vehicle development, when only high-level vehicle sections are available, designing the body-in-white (BIW) structure to meet target values for bending and torsional stiffness is challenging and often requires multiple iterations. To address these challenges, this study deploys a reduced-order beam modelling approach. This method involves identifying the beam-like sections and major joints within the BIW and calculating their sectional properties (area, area moments of inertia along the plane’s independent axes, and torsion constant). These components form a simplified skeleton model of the BIW. Load and boundary conditions are applied to the suspension mount locations at the front and rear of the vehicle, and torsional and bending stiffness are calculated. The results demonstrated good accuracy compared to conventional NVH simulations. A Design of Experiments (DoE) study is also conducted on the major sections of the BIW to identify the critical beams necessary for achieving stiffness targets. Additionally, the effect of changing materials in identified sections is studied to assess potential weight reductions while maintaining target stiffness values. This approach significantly accelerates the process and proves to be highly effective in determining stiffness parameters during the conceptual stages of vehicle design.
Khan, Mohd Zishan AliThanapati, AlokDeshmukh, Chandrakant
Throughout the years, the legislations which drive the vehicle development have experimented constant evolutions. Especially when it comes about pollutant emissions and NVH ( Noise, Vibration & Harshness). However, it is complex to understand which calibration strategy promotes the best balance about lowest levels of emissions, vibrations, and noise if considered the number of inputs to be explored, becoming the searching for the optimum calibration a huge challenge for the development engineering team. This work proposes a methodology development in which complex problems can be solved by model based solutions regarding the best balance finding of emissions reduction and noise attenuation. The methodology is based in machine learning approach which provides a virtual behavior of engine phenomena making possible a wider comprehension of the problem and hence the opportunity to explore enhanced solutions. The study case scenario used to apply the method was a 6.4 liters engine which presented a huge noise during the catalyst heating phase. The method allowed to find a calibration propose that could eliminate the noise without harming emissions levels. The methodology presented the capacity to solve the problem in a shorter time and higher quality than the conventional method. Based on its success, research is ongoing to refine the methodology to be applied in several other powertrain configuration.
Ruiz, Rodrigo Peralta MoraesSantos, Lucas ResendeNascif, Gabriel Nobre AlvesOliveira Ribeiro, DouglasPereira, Willyan
Over the past twenty years, the automotive sector has increasingly prioritized lightweight and eco-friendly products. Specifically, in the realm of tyres, achieving reduced weight and lower rolling resistance is crucial for improving fuel efficiency. However, these goals introduce significant challenges in managing Noise, Vibration, and Harshness (NVH), particularly regarding mid-frequency noise inside the vehicle. This study focuses on analyzing the interior noise of a passenger car within the 250 to 500 Hz frequency range. It examines how tyre tread stiffness and carcass stiffness affect this noise through structural borne noise test on a rough road drum and modal analysis, employing both experimental and computational approaches. Findings reveal that mid-frequency interior noise is significantly affected by factors such as the tension in the cap ply, the stiffness of the belt, and the properties of the tyre sidewall.
Subbian, JaiganeshM, Saravanan
Vibration comfort is a critical factor in assessing the overall performance of engineering machinery, with significant implications for operator health and safety. However, current evaluation methods lack specificity for construction machinery, impeding accurate prediction of vibration comfort and hindering the optimization of noise, vibration, and harshness (NVH) performance. To address this challenge, this article proposes a model that combines a random forest with a genetic algorithm (GA-RF) to enable rapid and accurate prediction of vibration comfort in construction machinery cabins. The approach begins with an improved objective evaluation methodology for extracting key features from vibration signals at five measurement points: seat, floor, back, and left and right armrests. Additionally, subjective evaluation technology, combining semantic differential and rating scales, is employed to capture operators’ personal comfort perceptions. The implementation of the GA-RF model constructs a nonlinear mapping between vibration characteristics and perceived comfort, significantly enhancing the precision and efficiency of the vibration comfort evaluation process. Testing indicates that the objective evaluation method effectively refines vibration data features relevant to practical engineering applications. The proposed GA-RF model demonstrates robust predictive capabilities. These results provide valuable insights for the evaluation and enhancement of vibration comfort in the engineering machinery sector, laying a substantial foundation for future research and application.
Zhao, JianYin, YingqiChen, JiangfeiZhao, WeidongDing, WeipingHuang, Haibo
Noise, vibration and harshness (NVH) is one of the most important performance evaluation aspects of electric motors. Among the different causes of the NVH issues of electrical drives, the spatial and temporal harmonics of the electrical drive system are of great importance. To reduce the tonal noise of the electric motors induced by these harmonics, harmonic injection methods are applied in many applications. However, a lot of existing researches focus more either on improving the optimization process of the harmonic injection parameter settings, or on the controller design of the harmonic injection process, while the structural dynamic characteristics of the motor are seldom considered. A lot of literature shows that the harmonic injection strategies can more effectively influence the mode 0 (M0) radial forces than the higher spatial orders, so it is more efficient to apply such methods at the frequencies/orders where the effect of mode 0 forces are dominant with respect to the surface vibration or acoustics of the motor. In this paper, a guideline is proposed for the design and optimization of current harmonic injection strategies, where a 2-dimensional linear transfer function is computed to quantify the contributions of different force modes and it is used as the reference for the harmonic injection control settings. The proposed method is tested and validated with the multi-physics co-simulation of a finite-element model for an interior permanent magnet synchronous motor (IPMSM), where the influence of the inverter and pulse width modulation (PWM) are also considered and analyzed. The simulation results show that the proposed scheme can effectively reduce the surface vibration (~1.5dB) at the chosen sensor location without deteriorating the torque output performance of the IPMSM model.
Fu, TongfangXu, ZhipengGünther, MarcoPischinger, StefanBöld, Simon
From a Noise Vibration Harshness (NVH) perspective, electric vehicles represent a great opportunity since the noise of the combustion engine, dominant in many driving conditions, is no longer present. On the other hand, drivers accustomed to driving cars with a strong personality (for example typically sporty ones) may perceive "silence" as a lack of character. Our internal study, conducted with a jury of people, has in fact already shown that for half of customers silence should characterize (Battery Electric Vehicle - BEV) vehicle; but, at the same time, the other half of the jury expects feedback from the vehicle while driving. The silence inside the passenger compartment, from an NVH point of view, can therefore be compared to a blank sheet of paper, on which, if desired, sounds designed to satisfy the driving pleasure expected by the customer can be introduced. Starting from this scenario, the paper describes: the approach adopted to define how many and what are the levers to design a good sound for our customers driving a sporty vehicle the engineering guidelines to achieve the desired sound The process followed is a structured flow based on: several focus groups, with experts from different company departments, to define the main dimensions of the sound that can characterize a BEV sporty vehicle for our customers subjective evaluations, expressed according to aspects coming from the focus groups, based on acoustic traces recorded on different BEV vehicles with sound enhancement analysis of objective data and comparison with the main results of the analysis of subjective data As a conclusion and main result, engineering guidelines and directions will be presented to create a good sound for a BEV sport vehicle.
Celiberti, LuciaBorgarello, LauraFalasca, VanniLolli, FrancescoMeriga, AlessandraMiglietta, PiercarloSoldati, Mirella
In recent years, the automotive industry has dedicated significant attention to the evolution of electric vehicles (EVs). The Electric-machine (as motor and generator, here and onward called E-machine as more general term) as the heart of the EDU (Electric Drive Unit) is very important component of powertrain and is the one of the main focuses of development. Traditionally, E-machine design has primarily focused on factors like efficiency, packaging, and cost, often neglecting the critical aspects of Noise, Vibration, and Harshness (NVH) specially at the early decision-making stages. This disconnect between E-machine design teams and NVH teams has consistently posed a challenge, which is the experience seen in many OEMs. This paper introduces an innovative workflow that unifies these previously separate domains, facilitating comprehensive optimization by integrating NVH considerations with other E-machine objectives, efficiency, weight, packaging and cost. This paper highlights AVL's approach in achieving this transformation and demonstrates how this integrated approach sets a new standard for E-machine design. The presented novel approach, which is also patented, relies on AI-driven algorithms and computational tools. The important aspect of this methodology is that from the first step of E-machine design, NVH is included. This advanced methodology makes sure that with predictive modeling and advanced optimization, an optimal electric machine is developed for NVH without compromising on efficiency or costs.
Mehrgou, MehdiGarcia de Madinabeitia, InigoAhmed, Mohamed Essam
Deutronic is not alone in developing and integrating thermal-management solutions to meet the specific demands of off-highway EVs. Modine, for example, in 2023 launched a new edition of its EVantage battery thermal-management system with a liquid-cooled condenser (L-CON BTMS) that combines proprietary heat-exchanger technology with smart controls and electronics. The system is designed to withstand harsh environments found in mining, construction, agriculture, specialty and transportation applications, according to Mike Kis, Director of Advanced Thermal Systems at Modine.
University of Wisconsin–Madison engineers have used a spray coating technology to produce a new workhorse material that can withstand the harsh conditions inside a fusion reactor.
One of the five major performances of vehicles, NVH(Noise, Vibration, Harshness), has recently emerged in electric vehicles, again. And, front loading NVH simulation is essential to respond nimbly to automotive industry these days. However, the two components of the simulation, mathematical sound absorption modeling equation, and the acoustic parameters, the input factor, is requiring improvement because of lack of robustness. In this study, we tried to strengthen, standardize, and refine the connectivity between micro (fine structure) and macro (acoustic parameter-related physical properties) characteristics, and improve the consistency with actual NVH performance. As a porous polymer material, polyurethane foam, which is widely used for the interior and exterior of automobiles, is treated as a target material. It is expected that further refining of the correlation between three-dimensional microstructure properties of foam such as pore, throat, strut, window, etc. and acoustic parameters such as air flow resistivity and porosity, etc., can result in more precise sound absorption performance in the modeling formula.
Kim, Taeyoon
Customer preference towards quieter vehicles is ever-increasing. Exhaust tailpipe noise is one of the major contributors to in-cab noise and pass-by-noise of the vehicle. This research proposes a silencer with an integrated acoustic valve to reduce exhaust tailpipe noise. Incident exhaust wave coming from the engine strikes the acoustic valve and generates reflected waves. Incident waves and reflected waves cancel out each other which results in energy loss of the exhaust gas. This loss of energy results in reduced noise at the exhaust tailpipe end. To evaluate the effectiveness of the proposed silencer on the vehicle, NVH (Noise, vibration, and harshness) performance of the proposed silencer was compared with the existing silencer which is without an acoustic valve. A CNG (Compressed natural gas) Bus powered by a six-in-line cylinder engine was chosen for the NVH testing. After NVH evaluation, it was found that when using the proposed silencer, overall exhaust tailpipe orifice noise is reducing by 4-5 dB throughout the engine rpm range. In-cab noise at DEL (Driver ear level) is reducing by 2 dB throughout the engine rpm range except for 1200-1400 rpm range. Pass-by noise is reducing by 1 dB when vehicle is running in 3rd gear and it is reducing by 3 dB when vehicle is running in 4th gear.
Singh, Har GovindKhandagale, AnupChoudhari, YogeshwarKalsule, DhanajiPetale, Mahendra
Ride comfort is a critical factor to customer perception of vehicle quality as it is related to vehicle experience when driving. It adds value to the product and, consequently, to vehicle brand. It has become a demand not only for passenger unibody vehicles but also to larger segments including mid-size trucks. Ride quality is usually quantified as harshness which is a measure of how the vehicle transmits the road irregularities to the customer at the tactile points such as the steering wheel and seats. Improving harshness requires tuning of different parts including tires, chassis frame/subframe and suspension mounts and bushings. This paper describes the methodology to enhance the harshness performance for a mid-size truck using a full vehicle CAE model. The influence of stiffnesses of body mounts and control arms bushings to harshness response is investigated through sensitivity analysis and the optimal configuration is found. A DOE (Design of Experiments) of bushings stiffnesses is generated to assess their influence on harshness response. The Kriging method is used to create response surface of the CAE model that predicts harshness at seat track and steering wheel. The optimal mounting configuration is found by minimizing the average of the root-mean square of harshness response using the Monte Carlo Method. A design proposal that minimizes the design restrictions of the optimal solution is presented and its performance improvement is confirmed by a single number metric.
Alves, Paulo Sérgio LimaBemfica, Marcelo MachadoSarmento, Alisson Alves
Noise, vibration, and harshness (NVH) is a key aspect in the vehicle development. Reducing noise and vibration to create a comfortable environment is one of the main objectives in vehicle design. In the literature, many theoretical and experimental methods have been presented for improving the NVH performances of vehicles. However, in the great majority of situations, physical prototypes are still required as NVH is highly dependent on subjective human perception and a pure computational approach often does not suffice. In this article, driving simulators are discussed as a tool to reduce the need of physical prototypes allowing a reduction in development time while providing a deep understanding of vehicle NVH characteristics. The present article provides a review of the current development of driving simulator focused on problems, challenges, and solutions for NVH applications. Starting from the definition of the human response to noise and vibration, this article describes the different driving simulator technologies to tackle all the involved perception aspects. The different available technologies are discussed and compared as to provide design engineers with a complete picture of the current possibilities and future trends.
Xue, HaoxiangPreviati, GiorgioGobbi, MassimilianoMastinu, Gianpiero
Since the standardization of Ethernet in the 1980s, progressive performance advances and economies of scale have made this the leading digital networking technology for commercial, consumer, and industrial applications. Although Ethernet in the factory has now been widely adopted, it lagged behind commercial implementations due to difficulties installing the media in harsh industrial environments, and in the early years, a lack of determinism required for critical applications.
More than half a century has passed since the birth of quantum signal detection theory, which is the cornerstone of modern quantum communication theory. Quantum stream cipher, the quantum-noise-based direct encryption scheme for optical communications at the center of our research, is based on the foundations of quantum communication theory. For quantum cryptography to progress from a theoretical possibility to a more realistic technology, experimental and theoretical research must be complementary.
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