Browse Topic: Tests and Testing

Items (23,379)
Electric two-wheeler testing before they are introduced in the market is one of the essential features needed by the certification agencies. Different types of test bench are available for measuring the torque and power from the electric two-wheeler that includes eddy current based motor test bench and mechanical based loading benches. In the present work an electric motor bench is designed and developed that takes care all features of electric two wheelers. The power supply to the motor is done through convertors and controller while mechanical loading is applied through belt. The other features that are kept in the rig includes lighting system and speed controller for the motor. The design is developed for variable outer diameter of electric two-wheeler testing. Tests were conducted on the developed rig. Test results were compared with electric motor specifications and were found to be in good agreement
Vashist, DevendraVerma, KartikChamok, FahimTewatia, BharatRajput, Neeraj
The current automotive development cycle is becoming shorter and shorter, therefore research is needed to improve the efficiency of wind noise transient calculation. This article summarizes 14 internal and external factors that affect the efficiency and accuracy of transient analysis of wind noise, and uses the ULH algorithm to design DOE for these 14 factors. A total of 200 efficiency improvement schemes are generated, and transient analysis is conducted on each of the 200 schemes. The simulation results and calculation time of wind noise inside the vehicle are statistically analyzed. And aerodynamic acoustic wind tunnel tests were conducted to verify this, with the optimization objectives of simulation values approaching 86.1 AI% (experimental values) and shortened calculation time. NSGA-II algorithm was used to optimize and obtain five sets of efficiency combination schemes that meet the requirements. Develop five appearance feature schemes for areas such as A-pillar and rearview
Li, XiangliangZhang, XiangdongLiu, XuelongWang, HaiyangHuang, Zhongyuan
Electric vehicles are shaping the future of the automotive industry, with the drive motor being a crucial component in their operation. Ensuring motor reliability requires rigorous testing using specialized test benches to validate key performance parameters. However, inefficiencies in the helical gear configuration within these test systems have led to frequent malfunctions, affecting production flow. This study focuses on optimizing the motor test bench by refining critical design parameters through vibration signal analysis and machine learning techniques. Vibrational data is collected under different gear configurations, utilizing an accelerometer integrated with a Data Acquisition (DAQ) system and MATLAB-based directives for seamless data collection. Machine learning classifiers, including Fine Gaussian SVM and Bilayered Neural Network, are applied to categorize signals into normal and faulty conditions, both with and without a 0.25 KW load. The analysis reveals that SVM achieves
S, RavikumarSharik, NSyed, ShaulV, MuralidharanD, Pradeep Kumar
This document establishes training guidelines applicable to fiber optic safety training, technical training and fiber awareness for individuals involved in the manufacturing, installation, support, integration and testing of fiber optic systems. Applicable personnel include: Managers Engineers Technicians Logisticians Trainers/Instructors Third Party Maintenance Agencies Quality Assurance Shipping Receiving Production Purchasing
AS-3 Fiber Optics and Applied Photonics Committee
This document establishes training guidelines applicable to fiber optic safety training, technical training and fiber awareness for individuals involved in the manufacturing, installation, support, integration and testing of fiber optic systems. Applicable personnel include: Managers Engineers Technicians Logisticians Trainers/Instructors Third Party Maintenance Agencies Quality Assurance Shipping Receiving Production Purchasing
AS-3 Fiber Optics and Applied Photonics Committee
This document provides user information on best practice methods and processes for the in-service inspection, evaluation, and cleaning of expanded beam (EB) fiber optic interconnect components (termini, alignment sleeves, and connectors), test equipment, and test leads based on the information provided in AIR6031 and ARP6283. This document provides the user with a decision-making tool to determine if the fiber optic components are acceptable for operation with EB fiber optic termini.
AS-3 Fiber Optics and Applied Photonics Committee
This document establishes training guidelines applicable to fiber optic fabricator technical training for individuals involved in the manufacturing, installation, support, integration and testing of fiber optic systems. Applicable personnel include: Managers Engineers Technicians Trainers/Instructors Third Party Maintenance Agencies Quality Assurance Production
AS-3 Fiber Optics and Applied Photonics Committee
This specification covers an acrylonitrile-butadiene rubber in the form of molded rings, compression seals, O-ring cord, and molded-in-place gaskets for aeronautical and aerospace applications.
AMS CE Elastomers Committee
Trains traditionally transmit braking and mitigation commands through the air tube filling and exhausting method, which is easy to cause local large longitudinal impact. In order to meet the high-precision requirements of synchronous transmission of commands for heavy-duty trains with large groupings, this paper proposes a laser+industrial Ethernet network control system, which can meet the requirements of flexible train grouping and virtual connecting under the premise of ensuring synchronous transmission of commands for trains with large groupings. The system consists of central control unit, locomotive laser communication module, locomotive switch, mobile wireless communication terminal, security gateway, vehicle control unit, vehicle laser communication module, vehicle switch, etc. It is designed according to the three-layer architecture of vehicle-level network, train-level network and line-level network, which can realise the issuance of internal control commands and status
Meng, XiangzhenLi, ChuanhuZhu, Youlong
Recent experimental work from the authors’ laboratory demonstrated that applying a boosted current ignition strategy under intensified flow conditions can significantly reduce combustion duration in a rapid compression machine (RCM). However, that study relied on spark anemometry, which provided only localized flow speed estimates and lacked full spatial resolution of velocity and turbulence near the spark gap. Additionally, the influence of turbulence on combustion behavior and performance across varying flow speeds and excess air ratios using a conventional transistor-controlled ignition (TCI) system was not thoroughly analyzed. In this study, non-reactive CFD simulations were used to estimate local flow and turbulent velocities near the spark gap for piston speeds ranging from 1.2 to 9.7 m/s. Simulated local velocities ranged from 0.7 to 96 m/s and were used to interpret experimentally observed combustion behavior under three excess air ratios (λ = 1.0, 1.4, and 1.6). Combustion was
Haider, Muhammad.ShaheerJin, LongYu, XiaoReader, GrahamZheng, Ming
The latest electric vehicles (EVs) have advanced thermal management systems to regulate heat distribution across the vehicle, thereby improving the driving range. the author thinks that a key factor, which is influencing thermal performance during driving, is the effect of the driving-wind. However, EVs performance is evaluated by using a chassis dynamometer (CHDY), where it remains unclear whether the driving-wind specifications, which defined in the Worldwide Harmonized Light Vehicles Test Procedure (WLTP), adequately replicate real-world conditions. This study investigates both internal combustion engine vehicles and several electrical vehicles to estimate the potential discrepancies in WLTP’s driving wind requirements. Specifically, the author modified the CHDY vehicle-cooling fan to more accurately simulate wind speed at the front and underside of the vehicle under real-world driving conditions, which drove at outside road. The author analyzed the impact of these modifications
Okui, Nobunori
With the ongoing electrification of vehicles, components contributing a minor share of overall drivetrain losses are coming into focus. Analyzing these losses is crucial for enhancing the energy efficiency of modern vehicles and meeting the increasing demands for sustainability and extended driving range. These components include wheel bearings, whose friction losses are influenced by parameters such as temperature, mechanical loads, and mounting situation. Therefore, it is essential to analyze the resulting friction losses and their dependence on the mentioned influencing parameters at an early stage of development, both through test bench measurements and with the help of simulation models. To achieve these objectives, this submission presents a methodology that combines test bench measurements with a measurement-based simulation of the friction losses of wheel bearings occurring in the vehicle as a complete system under varying driving cycles and parameters. For this purpose, an
Hartmann, LukasSturm, AxelHenze, RomanNotz, Fabian
Reliability and uptime are critical priorities in the automotive industry, prompting a shift toward predictive maintenance (PdM) to minimize unexpected failures and associated costs. This study presents a machine learning-based framework for early prediction of engine fuel system failures using embedded field performance data. This study introduces a machine learning-based framework for predicting failures and estimating the remaining useful life (RUL) of mid-range diesel engines with high-pressure common rail fuel systems in vehicles using classification and regression models applied to embedded field performance analysis data, aiming to enhance reliability and reduce unplanned downtime. Two classification models --- Random Forest and XGBoost top our model metrics chart. They were further tuned and evaluated, with XGBoost achieving superior performance, including 94% accuracy and 87% precision, and a low false positive rate of 0.01, enabling an 8-day lead time for proactive
Wang, TingtingGoswami, AnilAkinola, MichaelYang, TinaAn, Qi
A collaborative study was conducted to bridge the gap between fundamental combustion research and engine-scale observations of knock in spark-ignition (SI) engines. Using Primary Reference Fuels (PRFs) with Research Octane Numbers (RON) of 80, 90, and 100, experiments were carried out with a Cooperative Fuel Research (CFR) engine at air-fuel ratio, λ = 1.0, focusing on knock onset conditions in terms of unburned gas pressure and temperature. In the engine tests, pressure traces under knocking conditions were analyzed to identify knock onset and to estimate the corresponding unburned gas temperature history. Results showed that the pressure at knock onset varies clearly with PRF value: higher RON fuels exhibited knock onset at higher pressures, likely due to changes in compression ratio applied to match standard RON test procedures. In contrast, the unburned gas temperature conditions showed partial overlap across different PRFs, but with a tendency for higher RON fuels to experience
Yasutake, YukiMisono, KatsuhiroSuzuki, YoshikatuNaiki, TaketoraWatanabe, ManabuMoriyama, HinataMorii, YouhiTsunoda, AkiraMaruta, Kaoru
The objective of this trial was to compare the energy efficiency and performance of battery electric and conventional diesel tractors. Controlled road tests replicating normal operations were conducted using two electric and two diesel day-cab tractors. The test protocol was based on the TMC - Type III RP 1103A and SAE J1526 test procedures. The tests were conducted on a 110 km long route that included a 59 km hilly portion with a maximum altitude difference of 307 m. The tractors were divided into test groups of two vehicles. Trailers and drivers were switched throughout the trial between the tractors in a test group. The tests found that the two electric trucks consumed 60% and 63% less energy than their counterpart diesel trucks, respectively. Considering the average emission factor for production of electricity in Canada, the electric trucks emitted on average 82% less GHG emissions than the conventional diesel-powered tractors. The two diesel trucks showed similar fuel consumption
Surcel, Marius-DorinPartington, MarkTanguay-Laflèche, MaximeSchumacher, Richard
Synchronizers are designed to provide smooth, efficient and safe transfer of torque between mechanical gears. Friction level, durability, and consistency of the fluid / friction lining system are crucial to ensuring crisp gear engagements without clashing and noise, vibration and/or harshness (NVH) for the life of the transmission. Excellent wear control of gears, synchronizer ring and cone surfaces is also critical to protecting the life of moving mechanical parts. The SSP-180 synchronizer rig measures friction durability and wear up to 100,000 engagements, using a variety of fluids and friction materials. Methodology for the development of a synchronizer durability procedure using the SSP-180 rig is presented for qualifying fluids for dry dual clutch (DCT) and manual transmission (MT) applications for General Motors. It will be shown that the new DEXRON® SSP-180 Synchronizer Durability Test in Appendix C of the GMW 16612 fluid specification [1] satisfies four key conditions for new
Glasgow, Michael B.Zreik, KhaledEzanno, Philippe NicolasShelton, Robert W.
This paper investigates the concept of derating in light-emitting diode (LED)–based automotive lighting systems, emphasizing its role in enhancing LED longevity, performance, and reliability under varying operating conditions. Derating is introduced from a general perspective and is modeled as an approximately linear function of the driving current with respect to the temperature measured by a negative temperature coefficient thermistor (NTC). The NTC serves as a temperature probe in this context. We demonstrate that poorly designed derating strategies can negatively impact luminous flux, lifespan, and overall system reliability. These theoretical insights are applied to a simplified lighting system, which is analyzed using both steady-state and transient computational fluid dynamics (CFD) simulations to illustrate the practical effects. It is shown that the distance between the NTC and the temperature-critical region primarily determines the slope of the derating curve, while having
Stahlbaum, Ruben
Celebrating its 35th year, the National Aerospace Defense Contractors Accreditation Program (Nadcap) continues to advance quality assurance and regulatory compliance for aviation, defense, and space OEMs and suppliers. This article summarizes how Nadcap accreditation works, its benefits for manufacturers, and its role in expanding additive manufacturing through industry-wide consensus. The Nadcap program was first established in 1990 by a small group of aerospace and defense OEMs. Their goal was to create an accreditation initiative that provides a common approach to auditing the manufacturing and production processes used by companies supplying parts, components, structures, and services to major aerospace and defense OEMs. This foundation set the stage for Nadcap's continued focus on quality assurance and regulatory compliance in the industry.
The excitation forces of the tamper pairs in the vibrational screed system not only affect the road density but also affect the road surface quality. Thus, to enhance the performance of the asphalt paver machine, an experimental study of an asphalt paver machine is carried out to evaluate in detail the effect of the excitation frequencies of the tamper pairs and vibrator screed on the density and quality of the road surface. From the actual structure of the vibrational screed system of the asphalt paver machine used in the experiment, its mathematical model is then built to calculate the vibration equations. The fuzzy controller is then applied to control the deflection angles between the tamper pairs to enhance the working performance of the vibrational screed system. The study result shows that both the excitation frequencies of the tamper pairs (ftp ) and vibrator screed (fvs ) greatly affect the density and quality of the road surface. To increase the compression density of the
Song, FengxiangRen, ShageNguyen, Vanliem
Analyzing and accurately estimating the energy consumption of battery electric buses (BEBs) is essential as it directly impacts battery aging. As fleet electrification of transit agencies (TAs) is on the rise, they must take into account battery aging, since the battery accounts for nearly a quarter of the total bus cost. Understanding the strain placed on batteries during day-to-day operations will allow TAs to implement best-use practices, continue successful fleet electrification, and prolong battery life. The main objective of this research is to estimate and analyze the energy consumption of BEBs based on ambient conditions, geographical location, and driver behavior. This article presents a model for estimating the battery energy consumption of BEBs, which is validated using the data on federal transit bus performance tests performed by Penn State University and experimental aggregated trip data provided by the Central Ohio Transit Authority (COTA). The developed simulator aims
Shiledar, AnkurShanker, AnirudhPulvirenti, LucaDi Luca, GiuseppeAkintade, RebeccahRizzoni, Giorgio
This specification covers tungsten carbide-cobalt in the form of powder.
AMS F Corrosion and Heat Resistant Alloys Committee
The publishing of MIL-STD-3072 is critical to the Army’s introduction of electrified vehicles. It is the first of three documents to replace MIL-PRF-GCS600A, a performance specification that is loosely referenced by engineers but lacks necessary details. MIL-STD-3072 defines the characteristics of 600 VDC electric power that will be supplied to utilization equipment. Following this release, MIL-HDBK-3072 will provide suggested test methods for compliance with the standard, and MIL-PRF-3072 will provide generic device specifications for interfaces, control, and safety. Together, these three documents define a set of requirements that vehicles and equipment with 600 VDC electrical systems must operate within.
Haynes, AricSpina, JasonBest, Melissa
As part of technology maturation efforts, the COAT Lab evaluated the impact of external audio on driving performance in simulated under amor environments. To do so, we conducted an Engineering Evaluation Test (EET) wherein participants were asked to drive a simulated military vehicle through a Slalom course (primary task) while monitoring for aerial threats (secondary task). Using a combination of objective and subjective metrics, this evaluation quantified participants’ ability to maneuver and detect threats while using external audio as an enabling technology. Evaluation results indicated external audio positively benefited driving performance and situation awareness. However, evaluation results also indicated that external audio was not sufficient in and of itself for detecting time-sensitive aerial threats. Together, these results suggest a development path forward in which external audio is combined with visual information to enhance crew situation awareness under armor.
Grant, LaurenShrestha, SumitHoffing, Russell Cohen
Ground vehicle software continues to increase in cost and complexity, in part driven by tightly integrated systems and vendor lock-in. One method of reducing costs is reuse and portability, encouraged by the Modular Open Systems Approach and the Future Airborne Capability Environment (FACE) architecture. While FACE provides a Conformance Testing Suite to ensure portability between compliant systems, it does not verify that components correctly implement standard interfaces and desired functionality. This paper presents a layered test methodology designed to ensure that a FACE component correctly implements working communication interfaces, correctly handles the full range of data the component is expected to manage, and correctly performs all of the functionality the component is required to perform. This testing methodology includes unit testing of individual components, integration testing across multiple units, and full hardware in the loop system integration testing, offering a
Lingg, MichaelPaul, HowardSullivan, KyleVanSolkema, William
This paper introduces a secure and cost-effective framework for integrating Commercial Off-the-Shelf (COTS) Generative Artificial Intelligence (GenAI) technology into government enterprise solutions. It explores key aspects of GenAI, emphasizing its transformative role in enhancing efficiency and decision-making within government operations. Central to the discussion is a GenAI Feasibility Study [1] conducted by Booz Allen for the Director, Operational Test & Evaluation (DOT&E), which outlines the development of the AI-Enabled Test & Evaluation Module (ATEM) GenAI Knowledge Assistant. The paper also examines critical factors for successful implementation, including use case definition, model selection, data quality, and prompt engineering.
Vandrovec, BryanKruger, JohnBirr, CalvinMazzara, MarkMossy, GlennHimmel, MaxBarnhart, JamesSenger, Jeff
Delamination of transparent armor (TA) is one of the costliest and most frustrating failures facing the tactical vehicle community. When purchased, all TA appears equally pristine and has identical protective abilities, but some parts delaminate after only a few years while other parts last over a decade. Recent high delamination rates have resulted in large costs – a Warstopper study showed that transparent armor accounted for 20% of the maintenance cost for the HMMWV. One major advance in the last few years has been the Army-led development of an ‘Accelerated Life Test’ which consistently causes field relevant delamination in transparent armor parts. We present the development of a method to correlate test results with field life, thus allowing for life prediction and life cycle cost analysis. We demonstrate how the life prediction tool can be used to drive purchasing strategies, field use decisions, and vehicle design.
Merrill, Marriner H.Magner, Matthew J.Key, Christopher T.Humphrey, Barry A.
This paper presents a model-based systems engineering (MBSE) and digital twin approach for a military 6T battery tester. A digital twin architecture (encompassing product, process, and equipment twins) is integrated with AI-driven analytics to enhance battery defect detection, provide predictive diagnostics, and improve testing efficiency. The 6T battery tester’s MBSE design employs comprehensive SysML models to ensure traceability and robust system integration. Initial key contributions include early identification of battery faults via impedance-based sensing and machine learning, real-time state-of-health tracking through a synchronized virtual battery model, and streamlined test automation. Results indicate the proposed MBSE/digital twin solution can detect degradation indicators (e.g. capacity fade, rising internal impedance) earlier than traditional methods, enabling proactive maintenance and improved operational readiness. This approach offers a reliable, efficient testing
Sandoval, Roman
Our research focuses on developing a novel loss function that significantly improves object matching accuracy in multi-robot systems, a critical capability for Safety, Security, and Rescue Robotics (SSRR) applications. By enhancing the consistency and reliability of object identification across multiple viewpoints, our approach ensures a comprehensive understanding of environments with complex layouts and interlinked infrastructure components. We utilize ZED 2i cameras to capture diverse scenarios, demonstrating that our proposed loss function, inspired by the DETR framework, outperforms traditional methods in both accuracy and efficiency. The function’s ability to adapt to dynamic and high-risk environments, such as disaster response and critical infrastructure inspection, is further validated through extensive experiments, showing superior performance in real-time decision-making and operational effectiveness. This work not only advances the state of the art in SSRR but also
Brown, Taylor J.Vincent, GraceNakamoto, KyleBhattacharya, Sambit
In recent years, motorsport has increasingly focused on environmental concerns, leading to the rise of hybrid and fully electric competitions. In this scenario, electric motors and batteries take a crucial role in reducing the environmental impact by recovering energy during braking. However, due to inherent limitations, motors and battery cannot fully capture all braking power, necessitating the use of standard friction brakes. To achieve an efficient balance between electric motors and friction brakes, the brake pressure can no longer be directly controlled by the driver. Instead, it must be computed by the Vehicle Control Unit (VCU) and sent to a smart actuator, i.e. the Brake-By-Wire (BBW), which ensures that the required pressure is applied. The standard approach to achieve precise pressure control is to design a nested Proportional-Integral-Derivative (PID) control architecture, which requires an accurate nominal model of the system dynamics to meet the desired tracking
Gimondi, AlexDubbini, AlbertoRiva, GiorgioCantoni, Carlo
The effective reduction of particulate emissions from modern vehicles has shifted the focus toward emissions from tire wear, brake wear, road surface wear, and re-suspended particulate emissions. To meet future EU air quality standards and even stricter WHO targets for PM2.5, a reduction in non-exhaust particulate (NEP) emissions seems to be essential. For this reason, the EURO 7 emissions regulation contains limits for PM and PN emissions from brakes and tire abrasion. Graz University of Technology develops test methods, simulation tools and evaluates technologies for the reduction of brake wear particles and is involved in and leads several international research projects on this topic. The results are applied in emission models such as HBEFA (Handbook on Emission Factors). In this paper, we present our brake emission simulation approach, which calculates the power at the wheels and mechanical brakes, as well as corresponding rotational speeds for vehicles using longitudinal dynamics
Landl, LukasKetan, EnisHausberger, StefanDippold, Martin
In order to predict the durability characteristics of the brake judder, it is determined by analyzing the brake DTV (Disc Thickness Variation) and BTV(Brake Torque Variation) through the durability evaluation of the brake system or the vehicle. However, this method requires the real products and takes a long time to derive the result. When judder problems occur due to durability, there are many difficulties in deriving improvement plans through test methods. Therefore, in this study, CAE was used to derive the initial wear amount of the disc, and a method of predicting DTV after durability was developed using the results.
Hwang, JaekeunKim, SunghoKim, JeongkyuKang, Donghoon
With the introduction of the Euro 7 regulation, non-exhaust emissions – particularly those arising from brake and tire abrasion – will be regulated and subject to emission limits for the first time. This presents significant challenges not only for OEMs striving to meet these targets within the given timeframe, but also for suppliers, who must develop innovative solutions for the precise measurement, analysis, and mitigation of these emissions. To address this, it is essential to establish and industrialize new testing methodologies as structured, scalable, and cost-efficient processes. Beyond pure measurement capability, service providers in this domain are increasingly expected to serve as feedback mechanisms – identifying process limitations, proposing targeted improvements, and thereby enabling continuous development in line with evolving technical and regulatory requirements. In this context, AVL is pursuing a holistic development strategy that integrates brake emission
Grojer, Bernd
The Front Axle wheel end assembly is a critical component of Vehicle functionality, comprising a wheel hub positioned to rotate smoothly on an Axle spindle. This rotational movement is enabled by bearings positioned between the hub and the spindle, allowing for frictionless rotation. The Front Axle wheel ends’ temperature typically depends on several factors such as type of Vehicle, Load & driving conditions and health of the components involved. In general, the wheel ends can become warm during normal operation owing to friction generated by the rotation of the wheels and the interaction of various mechanical components such as Bearings and Brakes. However, if the temperature of the wheel ends becomes excessively hot, it could indicate potential issues such as Overheating brakes, Wheel bearing problems, improperly inflated tyres, and faulty components. As temperature rise, materials tend to expand. This expansion can affect the dimensions of critical components in the Front Axle wheel
Pandiyan, MahendranJayaraman, KarthikR, SabariB, EllavarasanBhanja, Subrat Kumar
Pin-on-disk tribometers are used to determine the frictional behaviour and boundary layer dynamics of material pairings. Material pairings are examined under defined conditions in order to reason about the friction behaviour and wear. Pairings for real brake systems with larger pad sizes can be tested on flywheel mass test rigs in order to provide proof of suitability. This is mainly due to a lack of knowledge about the scaling behaviour of friction linings. The Department of Machinery System Design at TU Berlin has combined the classic approach of a pin-on-disk tribometer with a flywheel mass test rig (up to 12.78 kgm2) and thus set up a laboratory brake on which material pairings with different pad shapes and sizes (up to 48 cm2) can be examined. The flywheel mass test rig consists of an adjustable DC-motor that drives a shaft on which variable flywheel masses and brake disks can be installed. The variability allows for different kinetic energies at different friction speeds. The
Heuser, Robert MichaelRosenthal, Tobias RichardWiest, Daniel ChristianMeyer, Henning Jürgen
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