Browse Topic: Analysis methodologies

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Evaluating the Suitability of ADC12 for Sand Casting: Filling, Solidification, and Mechanical Properties2026-26-0296To be published on 01/16/2026
This research investigates the applicability of ADC12 aluminum alloy in sand casting processes and compares its casting behavior and performance with that of conventionally sand-cast alloys such as A356 and AlSi10Mg. ADC12 is primarily utilized in high-pressure die casting (HPDC) and low-pressure die casting (LPDC) due to its excellent castability, pressure tightness, and favorable mechanical properties in thin-walled components. However, its use in sand casting is minimal globally, primarily due to the alloy’s high silicon and iron content, which can lead to poor feeding characteristics, increased porosity, and structural non-uniformity in non-pressurized molds. In this study, 3 mm thick test castings were produced using conventional sand casting methods, with particular attention to mold and core design to simulate challenging flow and solidification conditions. Comparative castings of A356 and AlSi10Mg were also produced under identical conditions to establish performance baselines
Subramani, Rajesh, Jichkar, Pawan
A Model Based Framework for Safety Risk Assessment using Systems Theoretic Process Analysis for ASIL Justification According to ISO 262622026-26-0022To be published on 01/16/2026
With advancements in automotive systems, particularly in autonomous and electric vehicles, the increasing complexity of modern vehicular systems is challenging the traditional safety analysis methods prescribed by ISO 26262. Failure-based safety analysis techniques often struggle to identify systematic risks arising from software interactions, human factors, and emergent behaviors. This paper addresses this gap by providing a framework that utilizes Systems-Theoretic Process Analysis (STPA) to complement ISO 26262’s hazard analysis methods by considering emergent hazards during the justification of Automotive Safety Integrity Levels (ASIL). The aim of this paper is to present a model-driven hybrid methodology that combines traditional fault-based approaches with STPA for traceable ASIL justification, thereby enhancing ISO 26262’s Hazard Analysis and Risk Assessment (HARA) process. This approach allows for the integration of contemporary safety analysis techniques like STPA into
NAG, PRAMIT, Ali, Sam, Roy Choudhury, Diyanjan
Addressing Safety Belt Discomfort Among Female Driving Population Through Data Collection and Simulation2026-26-0016To be published on 01/16/2026
The rate of female drivers in India is increasing alongside the rapid growth of the Indian automotive industry. A driving comfort survey conducted among female drivers revealed that many experiences dis-comfort when wearing Safety belts-whether while driving or as front-seat passengers. This discomfort is primarily due to a phenomenon referred to as "neck cutting." The root cause of neck cutting is likely related to vehicle design, which is traditionally based on Anthropometric Test Devices (ATD's) representing the 5th, 50th & 95th percentile (%tile) of the global population. However, a literature review indicated that the anthropometric dimensions of the Indian populations are generally smaller than those of the global for the respective candidate. This highlighted the need to collect region-specific anthropometric data for India. To validate the neck-cutting issue, various female candidates were asked to sit in the Driver's seat for physical measurements trials. Accordingly
Kulkarni, Nachiket A, Chitodkar, Vivek V, Eknath Chopade, Santosh, Mahajan, Rahul, Yamgar, Babasaheb S
Experimental Frequency-Based Substructuring for Full-Vehicle NVH Characterization in Electric Vehicles2026-26-0309To be published on 01/16/2026
Electric vehicles introduce new NVH challenges due to high-frequency excitations from e-motors and associated electronics. These excitations, often in the kilohertz range, are primarily transmitted as structure-borne noise and require advanced experimental methods for accurate characterization and mitigation. Traditional simulation approaches are insufficient to capture the true dynamic behavior of complex components under operational boundary conditions. This study presents a fully experimental Frequency-Based Substructuring (FBS) methodology applied to a complete electric vehicle. Frequency Response Functions (FRFs) of individual subsystems—such as the e-motor, mounting system, inverter housing, and body connection points—are measured and transformed using Virtual Point Transformation to obtain consistent six-degree-of-freedom representations. These Virtual Point models are assembled into a full-vehicle system to investigate the structure-borne transfer paths to the vehicle interior
Kohlhofer, Daniel, Pingle, Pawan Sharad, de Klerk PhD, Dennis
Tractor Cabin Structure Borne Noise Reduction in the Virtual Environment2026-26-0101To be published on 01/16/2026
In recent days, cabin variants in the tractor are preferred by the farmers for the Coziness and longer field hour operation with less fatigue. Noise perceived by customer is the most important factor taken into account during the design stage, as it’s directly linked with operator’s comfort. Observed noise levels has to be within the defined limits as per national/international standards Overall cabin noise levels is contributed by the structure borne noise below 630 Hz. Structure borne noise is the noise typically radiated by the door, roof, windshield, floor, fender and structure assembly due to the engine excitation through the transmission housings and backstories. This paper depicts the process of tractor cabin structure borne noise prediction in the virtual environment. Firstly, Engine bearing loads and axle bearings has been extracted in the virtual stage from the vehicle level driveline model using commercially available MBD software. The finite element (FE) model of the cabin
gunasekaran, pandiyanayagam, K, Somasundaram, Chavan, Amit
BEARING CREEP PREVENTION IN EV TRANSMISSION2026-26-0598To be published on 01/16/2026
As the trend shifts from Internal Combustion Engine (ICE) vehicles to Electric Vehicles (EVs), the operating speeds of prime movers have significantly increased. Commercial EV manufacturers prefer high-speed, low-torque motors coupled with transmissions over low-speed, high-torque motors due to higher efficiency and power density. This combination of high-speed, low-torque motors coupled with transmission is essential for achieving the required gradeability and enhances operational efficiency. However, the increased operating speeds of these EV transmissions have inherently increased the risk of ‘bearing creep’. The “bearing creep” is the phenomenon where unintended relative motion occurs between bearing races and their mounting surfaces, leading to premature wear of mounting surfaces. This issue can lead to a series of failure modes such as increased gear mesh misalignment, bearing damage, seal damage, etc. These problems result into elevated transmission vibrations eventually leading
Bagad, Sachin Sunil, Kanase, Ashish, Hiremath, Satalingayya, Nevarekar, Sandip
Numerical Investigation of Cowl Water Drainage in Automotive Design2026-26-0393To be published on 01/16/2026
Motivation Improper drainage of cowl water (accumulated at the base of the windshield) leads to critical issues in automotive design. Early-phase evaluation of drainage efficiency is critical to avoid costly late-stage design revisions and warranty issues. Traditional physical testing methods are often time-intensive, costly and limited in scope. Therefore, leveraging simulation-driven optimization enables proactive prediction of failure modes and accelerates robust design validation. The Problem Inadequate cowl drainage causes: 1. HVAC system degradation due to moisture ingress (mold growth, blower motor failure). The accumulated water can also enter the cabin. 2. Rust and corrosion in the cowl panel, windshield frame, and adjacent electronics due to accumulation of stagnant water Methodology We investigated multiple design strategies to enhance cowl drainage performance. The following approaches were studied by using STAR-CCM+: 1. Multiphase volume of fluid (VOF) Simulation - To
Mathew, Ronnie, Ibrahim, Sayyaf, Nikumbh, Nayan
Multiphysics Simulation Approach for Evaluating Thermo-structural Performance of Electric Motors Using Spatial Electromagnetic Loss Mapping2026-26-0387To be published on 01/16/2026
High power and torque density electric motor is finding increasing demands in modern-day electric and hybrid vehicles because of compact and light-weight designs. These high-performance requirements are achieved by increasing the current flow, strengthening the magnetic field as well as downsizing the motor dimensions and hence can lead to multiple failure modes if not designed properly. Higher current flow results in increased magnitude of losses within the motor components such as ohmic loss, iron loss, hysteresis loss and mechanical losses. All these localized losses contribute to higher operating temperature and temperature gradient that can act as a catalyst to several modes of failure. Hence, accurate prediction of temperature distribution across the motor components is very crucial to come up with a robust and durable motor design. A common approach of predicting component temperature is by assuming bulk losses for lamination stack, hairpin and magnets. This approach might be
Munshi, Irshad Ahmed, ELANGO, GOKUL, Karmakar, Nilankan, Prasad, Praveen
Utilization of an improved hardening model for finite element analysis and experimental correlation of a tractor ROPS Structure2026-26-0404To be published on 01/16/2026
In recent years, virtual validation using finite element analysis (FEA) has become a key step in designing an agricultural tractor roll over-protective structure (ROPS). With the advancement of computation power and ability of finite element solver to handle bigger models; a higher fidelity model can be built to improve virtual validation accuracy. More & more advanced material model can be used to improve accuracy of the results. Along with ROPS, its mounting chassis and mounting bolts can also be validated. Virtual validation at the design phase not only saves time of new product development cycle; but also optimizes the weight & cost of the design. This study focusses on the application of advanced material models in simulating a real-life tractor ROPS system. For the ROPS structure, both conventional isotropic hardening models (employing bilinear and piecewise multilinear stress-strain curves) and advanced kinematic hardening models based on the multi-component Armstrong-Frederick
PANDEY, MANOJ KUMAR, Kumar, Arun, Redkar, Dinesh, THIRUGNANAM, Vivekanndan, Magendran, G, MANI, SURESH
Integration of virtual testing methods in automotive safety: Methodology validation for rollover protection system (ROPS)2026-26-0375To be published on 01/16/2026
During recent years, the integration of virtual testing methodologies has gained significant importance in vehicle development for the passive safety evaluation. The accuracy of simulation results depends basically on the correct replication of physical test into the virtual model, for example to assign the realistic material properties from the structural components and following the boundary conditions replicated from real conditions. In this study the safety standards ISO 3471_2008 and ANSI ROHVA/OPEI-2016 have been considered as references of the safety validation process of hollow section roll-over protective structure (ROPS) integrated into a vehicle. A key objective is to stablish a virtual test methodology that could be applicable across different standards considering various industry markets, as for example European, American and Asian. A sensitivity analysis is necessary to evaluate what are the main aspects that gives significant deviations in results and in which we can
Laso Rodríguez, Manuel, Hanumantha, Chandrashekhar, Singh, Amit Kumar, Lal, Kundan
A High-Fidelity Transient Fluid-Structure-Interaction Methodology for Evaluation of Rear Bumper Flutter of a Vehicle2026-26-0410To be published on 01/16/2026
The need for fuel efficient and pedestrian safe cars leads to the use of thinner and lighter car exteriors. Interaction of these exterior car components at high speed with an aerodynamic load can lead to undesirable aero-elastic vibration and flutter. Early identification and mitigation of such vibration can bring significant cost and time benefit, by reducing dependence on prototype testing and recalibration of prototype tooling at later stages. The present work demonstrates a transient Fluid-Structure-Interaction based numerical methodology for estimation of aerodynamic-induced flutter of the rear bumper of an SUV. The proposed method performs coupled-high fidelity transient full vehicle aerodynamic Finite Volume based and dynamic rear bumper structural Finite Element based simulations required for flutter estimation. The method has been put through a two-step validation against experimental wind tunnel test data of a prototype car with modified bumper for the specific test-case. The
CHOUDHURY, SATYAJIT, Yenugu, Srinivasa, Walia, Rajat, Zander, Daniel, Gullapalli, Atchyut, BALAN, ARUN, Astik, Pritesh
Development of an Software Algorithm Based Semi-automated Data Acquisition System for Gasoline Vehicle Calibration on Chassis Dynamometer2026-26-0535To be published on 01/16/2026
Vehicle level testing is one of the crucial part of the calibration development. In this, chassis dynamometer is used to collect the vehicle level data. Different engine and vehicle level parameters are logged at various speed and load points covering the entire engine operational zone. This data acquisition is a repetitive activity and covers over 30-40% of the total testing duration. This phase includes base calibration verification, transient development, and emissions-related calibrations, all of which follow a standardized and repetitive sequence. However, these tasks are predominantly performed manually, leading to potential human error and inefficiencies. This paper presents a novel and comprehensive algorithm developed using INCA FLOW software; the first of its kind for this application. Here, crucial vehicle data acquisition activities are identified, mapped into detailed steps. The algorithm introduces a semi-automated, stepwise process for data acquisition during chassis
Kavekar, Pratap Chandrashekhar, Tyagarajan, Sethuramalingam, Agarwal, Nishant Kumar, Shaikh, Wasim, Karadi, Subramanya
Tailgate Stiffness Mitigation and Engineering Strategy for Y-to-Y Tailgate-Mounted Tail Lamp Integration2026-26-0494To be published on 01/16/2026
The tailgate, as the rearmost vehicle opening, plays a pivotal role in defining the rear aesthetic theme while ensuring structural durability and maximizing luggage space. Contemporary automotive design trends highlight an increasing demand for Y-to-Y tailgate-mounted tail lamp configurations, which deliver a bold and dynamic visual appeal. Enhanced by animated lighting features, these designs cater to the preferences of Gen Z customers, becoming a decisive factor in purchasing decisions. However, integrating these complex tail lamp structures introduces significant engineering challenges, including increased X-dimension volume, reduced design space, and intricate mounting schemes constrained by stamping limitations. These factors necessitate the development of innovative joinery strategies and structural definitions to maintain durability targets, including achieving 25,000–30,000 slam cycles without failure, while preserving luggage space. This paper explores a comprehensive approach
Beryl, Joshua, Mohanty, Abhinab, Unadkat, Siddharth, Selvan, Veera
Evaluation of Shear Trim Edge in HSLA Steel for Automotive Application2026-26-0286To be published on 01/16/2026
Quality of the Shear Trimmed edge of HSLA 550 steels is significantly affected by process variations such as Shear Trimming Clearance, trim tolerance, burr height and clamping force. All these parameters largely influence the characteristics of the Shear Affected Zone, a region on sheet metal where it undergoes deformation during the trimming process. The Shear Affected Zone is predominantly vulnerable to failure due to work hardening and the effects of strain rate, induced by the tonnage during the trimming operation. To assess the edge ductility of these materials, Tensile, Fatigue Strength, Die Punch Clearance, Roughness and Hardness Tests are carried out. These tests are crucial for applications that demand high formability and resistance to edge failure. Virtual simulation of edge trimming operation using elastoplastic material models in LS-Dyna have been performed to gain insights into burr formation and damage evolution during shearing. These simulations act as a precursor to
Thota, Badri Vishal, Kashyap, Amit, Bhuvangiri, Jaydev
Reverse Engineering and Digital Twins in Powertrain Design: Enhancing Performance and Sustainability2026-26-0065To be published on 01/16/2026
This study explores the application of reverse engineering (RE) and digital twin (DT) technology in the design and optimization of advanced powertrain systems. Traditional approaches to powertrain development often rely on legacy designs with limited adaptability to modern efficiency and emission standards. In this work, we present a methodology combining 3D scanning, computational modeling, and machine learning to reconstruct, analyze, and enhance internal combustion engines (ICEs) and electric vehicle (EV) drivetrains. By digitizing physical components through RE, we generate high-fidelity DT models that enable virtual testing, performance prediction, and iterative improvement without costly physical prototyping. Key innovations include a novel mesh refinement technique for scanned geometries and a hybrid simulation framework integrating finite element analysis (FEA) and multi-body dynamics (MBD). Our case study demonstrates a 12% increase in thermal efficiency for a retrofitted ICE
Bernikov, Mark Alexandrovich, Kurmaev, Rinat
Development of a Lightweight Front-End Structure Using Injection Molding Technology2026-26-0304To be published on 01/16/2026
This paper presents the development of a lightweight, functionally integrated Front-End Module (FEM) utilizing plastic-metal hybrid injection molding technology. The objective is to achieve modularization, part consolidation, weight reduction, and cost efficiency. The proposed design integrates multiple components into a single module which makes assembly faster and easier. A mounting strategy with fixation features was integrated into the structure to effectively support various components.To ensure structural performance, component-level Finite Element Analysis (FEA) was performed, including static strength, bending and torsional stiffness, hood retention tests, and modal analysis. Ribbing patterns were optimized to meet design stiffness targets while minimizing weight. Moldflow analysis was carried out to evaluate manufacturability, focusing on gate design, weld lines , warpage, and flow balance. Necessary design corrections were implemented prior to tool development to ensure
Srivastava, Sanjay, Thakoor, Shruti Ghanshyam, Sonkusare, Shailesh
Evaluation of Thermo-Mechanical behavior of brake discs in vehicles using Multidisciplinary approach2026-26-0433To be published on 01/16/2026
The objective of this paper is to evaluate the thermal performance of the brake discs in the design stage of its life cycle by developing a methodology to replicate the dynamometer testing using multi-disciplinary Finite Element Analysis (FEA) methods. A simulation workflow was formulated in which Computational Fluid Dynamics (CFD) was used to create temperature and velocity dependent Heat Transfer Coefficients (HTC) which were in turn used in Computer Aided Engineering (CAE) to do a thermo-mechanical analysis. With this workflow various designs of the brake discs were analyzed. A sensitivity study was done to determine critical design features that affected its thermal performance. A final design was fixed that met both the weight and thermal performance targets. This design was evaluated in dynamometer testing, and 95% correlation was achieved. Thus, the developed simulation workflow ensured that a first-time right brake disc can be finalized in the design stage, which will meet the
Balaji, Praveen, K, Karthikeyan, S, KESAVPRASAD, S Kangde, Suhas, REDDY, JAGADEESWARA
Advanced Welding Process Simulation for Prediction and Control of Distortion and Residual Stresses in Automotive Sheet Metal Component Assembly2026-26-0412To be published on 01/16/2026
Welding simulations are transforming industrial manufacturing by enabling a predictive and first-time-right approach for process development. Advanced techniques such as Finite Element Analysis (FEA) help in accurate prediction of temperature distribution, residual stress, distortions and potential defects prior to physical welding which in turn support for addressing key challenges associated with Heat Affected Zones (HAZ) like distortion, fitment issues and post-weld cracking. Early integration of simulation in the development cycle significantly reduces lead time, enhances durability, and improves manufacturing efficiency. This study presents a simulation-based product development approach to mitigate post-weld crack generation issues in a complex multiple weld configuration of an automotive sheet metal assembly. The methodology adopts a two-stage framework: first, identifying the root cause of crack generating through baseline weld simulation; and second, implementing design
Nalawade, Rahul, Deshmukh, Kishor Pandurang, Vidhate, Digambar, Prakash, Ved, Dabhadkar, Mandar Mukund
Implementation of new educational technologies for training personnel for the transport industry2026-26-0241To be published on 01/16/2026
Today's challenges affect the system of training highly qualified personnel for the transport industry, which is actively transforming through the introduction of innovative educational technologies. Key areas have become digitalization of the educational process, integration of virtual simulators, augmented reality technologies (AR/VR) and platform solutions for managing educational programs. Today, transport education in Russia is focused on advanced training of specialists capable of working with autonomous transport and neural network solutions. Development prospects are associated with further integration of adaptive educational trajectories and global network platforms to ensure the competitiveness of graduates in the digital economy. Taking into account the specifics of the modern Russian transport industry, using an analytical method, the article examines solutions to some priority problems, namely: • Methods of modernizing educational programs through designing «professions of
SHISHANOV, Sergei, Kurmaev, Rinat, revenok, Svetlana
A Novel Analytical Approach to Predict Vehicle Parking Brake Cable Performance and Optimize Cable Routing2026-26-0483To be published on 01/16/2026
The performance of vehicle parking brake cables are critical for ensuring vehicle safety and functionality. Vehicle manufacturer evaluate the robustness of cable performance at different road gradient conditions. Effort and stroke performance are among the key parameters for evaluating cable performance. While parking brake system should be designed to minimize effort losses through the cable routing, packaging constraints often prevent it. Therefore, it is essential to estimate the losses through cable routing and optimize parameters of the parking brake cable system. Currently, the methods used for evaluating cable performance are either experimental or empirical based. CAE methods using finite element analysis (FEA) and multibody dynamic approaches are computationally expensive and not yet fully established due to modelling and solving complexity of dynamic cable which involves continuously changing and updating contacts. The available analytical approaches incorporates cable system
Iqbal, Shoaib, sabri, SALAH, Siddiqui, Arshad
A Novel Approach to Deep Drawing Using Hybrid System and Pneumatic-Assisted Forming2026-26-0301To be published on 01/16/2026
ABSTRACT: This paper presents a novel Plunger-Integrated Hybrid System aimed at enhancing the efficiency and performance of deep drawing operations in metal forming processes. The proposed hybrid system strategically combines the mechanical strength of metals with the elastic flexibility of polymers, specifically polyurethane rubber, to improve formability and reduce spring-back, two critical challenges in conventional sheet metal forming. A novel two-stage forming technique is employed, an initial drawing operation using a larger radius with polyurethane rubber, followed by final radius formation using the same rubber in conjunction with a pneumatic cylinder. This integrated approach ensures uniform force distribution via the embedded plunger, significantly minimizing forming defects and enhancing the dimensional accuracy of the final components. The solution has been validated using Finite Element (FE) simulation methods, confirming its capability to produce high-quality parts
Chava, Seshadri Reddy, Singh, Prakhar, DHANAJKAR, NARENDRA, Roy, Amlan, Raju, Gokul
Experimental and Numerical Investigation of Modal Behaviour in Electric Two-Wheeler Frames2026-26-0310To be published on 01/16/2026
This research investigates the dynamic characteristics of an electric two-wheeler chassis through a combined experimental and numerical approach. The study commences with the development of a detailed CAD model, which serves as the basis for Finite Element Analysis (FEA) to predict the chassis's natural frequencies and mode shapes. These numerical simulations offer initial insights into the structural vibration behaviour crucial for ensuring vehicle stability and rider comfort. To validate the FEA predictions, experimental modal analysis is performed on a physical prototype of the electric two-wheeler chassis using impact hammer excitation. Multiple response measurements are acquired via accelerometers, and the resulting data is processed to extract experimental modal parameters. The correlation between the simulated and experimental mode shapes is quantitatively assessed using the Modal Assurance Criterion (MAC). This matrix provides a measure of the consistency and similarity between
Das Sharma, Aritrya, Iyer, Siddharth, Prasad, Sathish, Anandh, Sudheep
Propeller Shaft Yoke Phase and Inclination angle Optimization in Passenger Vehicles through Analytical Method2026-26-0348To be published on 01/16/2026
Customer satisfaction is the most important parameter to achieve the success in the highly competitive automobile industry. Comfortable ride and handling are one of the important aspects for customer viewpoint. Propeller shaft is the critical components in the vehicle to affect the smooth operation of the vehicle. Propeller shaft universal joint (UJ) phase and inclination angle significantly affect the vehicle performance during frequent braking and acceleration. So, for this conditions, comprehensive study of the propeller shaft should be performed for smooth operation. In this paper, Propeller shaft UJ phase and inclination angle optimization is studied through analytical method, which are very essential parameter for optimizing induced vibration performance and comfort. Propeller shaft characteristics influenced by several factors like vehicle torque, propeller shaft joint type, materials properties, UJ phase and inclination angle and shaft unbalance value. By optimizing the above
Kumar, Sarvesh, Sanjay, L, S, Manickaraja, Kanagaraj, Pothiraj
Material-Optimization in Rib-Stiffened Polymer structures: A Computational & Analytical Study2026-26-0498To be published on 01/16/2026
Background The demand for lightweight yet rigid polymer components continue to drive innovation in structural design, particularly for applications requiring optimal stiffness-to-weight ratios. This study examines an alternative rib-stiffening approach for polypropylene plates, where conventional single-rib geometries are reconsidered in favor of parallel micro-rib configurations. While single ribs have been extensively studied, the potential benefits of distributed rib architecture remain less explored, particularly regarding their combined bending and shear performance. Key objective: This study systematically evaluates how parallel rib configurations influence mechanical performance in polypropylene plates, with specific focus on:  Bending stiffness preservation through optimized moment of inertia distribution  Shear resistance enhancement via controlled rib spacing  Coupled effect of the bending and shear resistance Prior art and their limitations: Current literature primarily
Sreejith, M P, Jain, Deepak, Maheshwari, Pankaj, Kumar, Mandeep, Ravi, Abhikrishna
Coupled Thermo-Mechanical Simulation Framework for Structural Evaluation of Battery Pack2026-26-0414To be published on 01/16/2026
With the rapid adoption of electric vehicles (EVs), ensuring the structural integrity and thermal safety of lithium-ion battery pack has become a critical priority. Battery failures resulting from mechanical abuse, thermal stress, internal pressure build up or electrical faults may lead to structural failure. To address these challenges, it is essential to understand the coupled thermal and mechanical responses of battery structure under extreme conditions. Thermo-mechanical simulation serves as a powerful tool for predictive safety assessment and design optimization, particularly in addressing thermal propagation and pressure-induced failure events. This study presents a comprehensive coupled thermo-mechanical simulation framework designed to evaluate the structural performance of EV battery enclosures under worst-case thermal and overpressure conditions. The methodology involves high-fidelity three-dimensional modeling of the battery pack enclosure, incorporating realistic material
BHAT, SADASHIV C, Sugumar, Mohanraj
Multi-Material Front Structures: A Pathway to Safer and More Sustainable Vehicle Design2026-26-0456To be published on 01/16/2026
Frontal crash structures play a vital role in occupant safety, but traditional designs often involve a trade-off between structural strength and weight efficiency. In the pursuit of safer and more sustainable mobility, this study explores a physics-based methodology that leverages the principle of dynamic equilibrium to guide the integration of dissimilar materials in front-end vehicle structures. Specifically, we examine a novel configuration wherein aluminum High pressure die cast (HPDC) is introduced in swan neck region of the front longitudinal member, while retaining steel in the frontal crush zone. This arrangement aims to redistribute crash loads and control deformation mechanisms, enabling improved energy absorption without compromising structural integrity. To evaluate the proposed strategy, a series of detailed finite element simulations were conducted using LS-DYNA, a widely adopted tool for vehicle crash analysis. The results reveal that the dynamic equilibrium approach
Revanth, Goshika, Bhagat, Milind, Joshi, Vikas, Mankhair, Abhijit, Sudarshan, B.Sudarshan, Kollipara, Jahanavi
Dimensional Management in Automotive Vehicle Design & Development for Perceived Quality Improvement in Buses2026-26-0447To be published on 01/16/2026
Perceived quality (PQ) is one of the most important factors in engineering signoff as well as customer delight and product improvement (feel, look & touch). The PQ is something related to feel of the product in terms of gap, flushness, fitment and appearance as per the costumer perceptions and expectations. Validate both design and engineering with the perceived quality review. In today's automotive bus industry this is equally applicable. In this paper we have explored the dimensional management scope in improving the PQ requirements and expectations by utilising the dimensional variation analysis (DVA) approach. We have explored & explained the fundamentals of vehicle aggregates fitment process and impact of fitment tolerances as used in DVA model to resolve vehicle packaging issues (critical gaps & clearance variation as per expected no. of vehicles to be manufactured in future at initial stage of the vehicle design). It is further extended into system level DFMEA to include DVA in
Singh, Vinay Kumar, Dewangan, Ved Prakash, Kumar, Rahul, Deep, Amar
SEooC-Based Design Framework for Integrated EV Power Conversion Systems under ISO 26262 Compliance2026-26-0192To be published on 01/16/2026
The rapid integration of electric vehicle (EV) power conversion elements—such as traction inverters, onboard chargers, and DC-DC converters—into unified architectures poses new challenges for ensuring functional safety compliance as per ISO 26262. This paper presents a system-level framework that leverages the Safety Element out of Context (SEooC) approach to design and validate reusable safety-critical components independent of vehicle-specific applications. By defining clear assumptions of use and ASIL decomposition strategies, the proposed method facilitates early-stage fault analysis and verification. The framework integrates model-based development with Hardware-in-the-Loop (HIL) testing and formal verification techniques to validate both control logic and hardware behavior under diverse fault injection scenarios. The result is a scalable, standards-compliant methodology that reduces time-to-market and enhances reliability in integrated EV power electronics platforms. The work
Uthaman, Sreekumar, Mulay, Abhijit B, Gadekar, Pundlik
Vehicle usage Digital Twins - Mobility analysis test case2026-26-0394To be published on 01/16/2026
In the evolving landscape of the automotive industry, this study presents an innovative approach to developing digital twins for driver profiles, establishing a standardized and scalable procedure for collecting and analyzing driving data on a global scale. The proposed methodology centers on the development of a robust cloud infrastructure, including a Data Lake and associated services, designed for efficient storage and processing of large volumes of data from multiple markets and vehicle types. The research introduces a adaptable procedure for data collection campaigns, applicable to diverse global markets and encompassing a wide range of vehicles, from internal combustion engines to electric and hybrid models. A key feature of this approach is the establishment of advanced data decoding protocols, enabling precise interpretation of CAN network information from vehicles of different manufacturers and models, even when the CAN structure is not previously known. The study defines
Arturo, Rubio, Marín Saltó, Anna, Diaz, Francisco, Olivencia, Sergio, Medina, Alba
Thermo-Mechanical Fatigue Assessment of Cylinder Heads Using Advanced Simulation Techniques2026-26-0465To be published on 01/16/2026
Thermo-mechanical fatigue (TMF) is a critical durability concern for cylinder heads in internal combustion engines, particularly under severe cyclic thermal and mechanical loads. TMF-induced damage often initiates in geometrically constrained regions with high thermal gradients and can significantly reduce component life. As performance demands increase, understanding and mitigating TMF becomes essential to ensure the structural integrity and long-term reliability of engine components. This study presents a simulation methodology for evaluating thermo-mechanical fatigue (TMF), a temperature-dependent low-cycle fatigue (LCF) mechanism that arises from repeated thermal expansion and contraction under mechanical constraints, leading to cyclic plastic deformation and damage. The methodology consists of two key phases. Phase I involves global finite element (FE) simulations—both thermal and structural—to obtain temperature and displacement fields under rated and idle engine conditions
Ghotekar, Sunil, Kumbhar, Dipak Madhukar, Pendse, Ameya
Machine learning model to predict Chest Injury during Thorax Impact on Human Body Models2026-26-0665To be published on 01/16/2026
In recent years, virtual models have been handy in predicting potential injury risk to occupants in vehicle crashes. Virtual models offer detailing of occupant anthropometry and closest possible bio-fidelity over existing test devices. This study focuses on the assessment of chest deflections in frontal thorax impacts using virtual human body models of a few anthropometries and transforming the assessment of injuries of broader range of anthropometries (population). The study utilizes machine learning models to enable injury assessment across a broader range of body types. The study has taken a standard test scenario (Kroell load case) having frontal blunt thoracic impact. The load case is replicated in LS-DYNA and finite element human body models (HBMC) of 05th Female and 50th Male are used. The simulation setup replicates the boundary conditions as per literature, the responses necessary to measure chest deflection were validated & recorded. The outputs from the simulations and data
Sridhar, Raam, Arya, Bibhu, Divakar, Prajwal, R, Udhaya Kumar, Bhutki, Prasad, Kumar PhD, Devendra, Kurkuri, Mahendra, Mohan PhD, Pradeep
Rear Wiper Motor with Nozzle Integration for Improved wiping performance and Perceived Quality2026-26-0600To be published on 01/16/2026
In the current modern days of driving, rear wiping performance plays a crucial role in safe driving. This study focuses on improving the rear wiping with add on benefits like improved BSR performance, cost saving and perceived quality. This new concept has the rear wiper motor assembly which accommodates the nozzle also thereby making it a single unified assembly with reduced system complexity. This concept eliminates the complex hose routing of washer system for rear wiping which is usually packaged at spoiler or HMSL. It also helps in improved spray coverage and reduced dry wiping which in turn enhances system reliability with clean & quiet operation. This integrated nozzle concept is much more compact than the available products in the market with minimum number of end items. Also, this design comes with non-return valve which ensures there is no delay in the spray execution. And it improves the cleaning efficiency by maintaining consistent fluid pressure. This concept comes with
Dhage, Prashant, K, NAGARAJAN, G, Sabari Rajan
FATIGUE FAILURE ANALYSIS FOR AUTOMOTIVE TRASNMISSION2026-26-0577To be published on 01/16/2026
A fatigue failure in the transmission input shaft was identified during a bench-level endurance test under 2nd gear loading conditions. The test transmission’s input shaft comprises fixed 1st, reverse, and 2nd gears, with the remaining gears mounted as floating. The shaft was subjected to cyclic torsional loads, and failure occurred after a defined number of cycles. Metallurgical analysis revealed a brittle fracture surface with crack initiation at the outer surface, propagating to core in a helical pattern, ultimately resulting in complete shaft fracture. To monitor and replicate the failure, the test setup was instrumented with a Reilhofer Delta Analyzer for early fault detection. TTL signals from accelerometers mounted on the transmission and a bench speed sensor were fed into the system, which generated FFT spectra and trend indices. A warning alarm triggered upon deviation in the trend index, indicating premature damage initiation. The test was subsequently halted for component
Navale, Pradeep, Kushwaha, Rakesh, Patel, Hiral
Advanced Sensor less Machine Learning Technique for Early Detection of Engine Oil Degradation2026-26-0656To be published on 01/16/2026
Maximizing vehicle uptime and reducing maintenance costs are critical objectives in modern automotive systems, making efficient resource utilization a top priority. One key factor is engine oil degradation, which directly affects engine performance, longevity, and overall vehicle efficiency. Current Conventional oil monitoring approaches are real time based on dedicated sensors—can be inefficient, costly, or poorly adapted to varying usage conditions. While earlier studies have explored sensor-based or chemical analysis methods for oil health monitoring, these solutions often lack scalability and cost-effectiveness for widespread adoption. This paper introduces a Machine Learning-based Engine Oil Degradation Detection System that operates non-intrusively using existing vehicle CAN signals, requiring no additional sensors. Key engine parameters such as RPM, Torque, Gear Position, Engine Power, Coolant Temperature, and Odometer readings are trained with tri-bological properties
Dusane, Mangesh, Tade, Vilas, Iqbal, Shoaib
Data analytics methodology for vehicle quality complaint analysis2026-26-0654To be published on 01/16/2026
Automobiles have become a part of people's everyday life. Customers base their trust on a brand's reputation while making a buying decision. With the evolving trends, feature advancements, automobiles have become a complex system. Ensuring product quality amidst system complexities is necessary to maintain the brand value & ensure customer satisfaction. Efficient addressal of customer quality complaints is pivotal in maintaining product quality. Until recent times, manual analysis using traditional data processing tools has been used for vehicle complaint analysis. However, considering the large quantum of data in new age vehicles with more number of control units, it becomes time-consuming, expertise dependent and susceptible to human errors. Given this & the advent of new age machine learning techniques & data analysis tools that can handle large amount of data, it is imperative to adopt them for vehicle complaint analysis. This research paper puts forth a method to analyze vehicle
Venkatesan, Prasanna, Raju, Vivek
Powering the Future: Addressing Power Architecture bottlenecks in Next Gen Automotive Platforms.2026-26-0688To be published on 01/16/2026
As the automotive industry moves from conventional function oriented embedded ECU-based systems to Code-driven system, the core electrical and electronic (E&E) architecture is also being redesigned to support more software-driven functionality. Modern and centralized architectures promise scalability and software-driven flexibility, but they also introduce significant challenges in power distribution-an area that remains underexplored despite its critical role in overall vehicle safety and performance. Our paper aims at the adoption of the traditional power distribution approach for Next Gen vehicle architecture. It requires a fresh look at how power is distributed. In a novel E&E architecture, a single power harness supplies battery voltage to each zone. If there's a failure or voltage drop, it can affect multiple functions within that zone at once, and management of voltage regulation, thermal dissipation, and EMI/EMC compliance becomes crucial. Adding to the complexity, safety
Borole, Akash, CHAKRA, PIPUN, Warke, Umakant
Accurate Component Load Prediction with Hybrid Test – FEA Approach.2026-26-0366To be published on 01/16/2026
Knowing accurate loads acting on the structure is still a main pain area for analyst. Accurate fatigue analysis through FEA is still a difficult task because of uncertainties associated with component load profile. Even for known duty cycle, approximation involved in measurements and load cascading techniques (MBD simulation models) put limits on accuracy of component load prediction. Small error in loads can lead to very large error in fatigue life calculations. Various researches proposed various innovative alternate means for accurate component load prediction and published in literature over past few decades. Author has explored and developed hybrid Test-FEA approach to estimate component loads based on robust strain-load transformation and pseudo inverse technique. This approach is based on effective use of strain transformations along with accurately measured strain data to calculate accurate load histories. The accuracy of load estimates depends upon number of factors such as
Pratap, Rajat, Apte Sr, Amol, Babar, Ranjit
A fluid-structure- interaction based methodology to evaluate aero-thermal performance of deformable air guides2026-26-0364To be published on 01/16/2026
An air guide in a car directs fresh air onto the Heat Exchangers (HXs) to facilitate efficient thermal management. It is of paramount importance that the air guide creates a proper sealing and prevents any leakage of the incoming fresh air. It is achieved in two ways – 1) In the design condition, the air guide is manufactured in a way so that it overlaps/intersects with the surrounding components 2) the air-guide is made flexible with a highly elastic rubber seal at the edge. When the air-guide is assembled, the rubber portion of the air-guide deforms to produce a proper fit leading to a sealed air-intake pathway. At high-speed condition as well as high airflow conditions by the radiator fan during idling/stationary, like DC charging – incase of BEV, etc., the air guide encounters high pressure. Being elastic and flexible, these conditions make the air guide susceptible to deformation with potential leakage of incoming air. Digital evaluation of the air guide deformation at different
GADASU, RAVISHASTRI, CHOUDHURY, SATYAJIT, Umesh, Acharya Vaibhav, Kumar, Saravanan, Yenugu, Srinivasa, Zander, Daniel, Beesetti, Siva, Hattarke, Mallikarjun
Multiphysics Analysis of Heat Sink Designs for Efficient Thermal Performance in Power Electronics Systems2026-26-0446To be published on 01/16/2026
The thermal management capability of power electronic (PE) systems has a critical impact on the performance and efficiency of electric, fuel cell, or hybrid vehicles. Bus bars, high resistance sensor devices, semiconductor switches, power capacitors are the primary components, which has major contribution in total heat generation in electrical drive unit. As PE packaging sizes are projected to become smaller, the challenge of managing increased heat dissipation becomes more critical. Hence, this paper numerically compares conventional and advanced cooling strategies to determine the best possible thermal management scenario. A multi-physics finite element model, integrating fluid, electrical, thermal, and structural fields, is employed to analyze heat generation within the PE system and the associated cooling mechanisms. Due to the significant impact of surface roughness and topology on electrical and thermal contact resistance, the Cooper-Mikic-Yovanovich (CMY) correlation is utilized
Singh, Praveen Kumar, Natarajan, Nesamani, Murali, Sariki
Experimental Evaluation of Metro Rail Bogie Frame through Bench Testing2026-26-0561To be published on 01/16/2026
Bogie frame is a main skeleton and structural member in railway system which is carrying all the loads such as Suspensions,Axles,wheels, car body, Motor, Gear box etc. The frame is subjected the exceptional and service stresses in Vertical, Longitudinal, Lateral and twist directions throughout the service life which should be withstand for a life span of 30 years without failure. The purpose of this project is to determine the Structural integrity of the Metro rail bogie frame in consideration with EN13749 standard .This paper is the outcome of bench testing of metro rail bogie frame with the application of multiaxial loading in static and dynamic campaign through which stress data is collected with strain gauge sensors and correlated with the FEA results at design stage. This helps to verify and evaluate the design and validate the quality of metro rail frame as per the requirement specified in EN13749 European standard in early design stages.
Tormal, Uday Bapurao
A systematic debugging methodology for identifying electric vehicle level EMC issues2026-26-0525To be published on 01/16/2026
Electric two and three-wheelers present unique challenges in electromagnetic compatibility testing due to compact packaging, high-frequency switching, and low shielding practices. This paper presents a systematic debugging methodology for identifying and mitigating radiated emission and radiated immunity issues in these EV platforms. A comprehensive approach is outlined, covering radiated emission measurement, Bulk Current Injection based immunity simulation, and near-field probing techniques. For RI evaluation, BCI testing in the 20 MHz to 400 MHz range is used to simulate radiated threats on the vehicle's power and signal harnesses. For RE diagnosis, conducted emission measurements on vehicle harnesses are performed using current probes to capture high-frequency currents. Additionally, near-field electric probes are used at the component to identify dominant noise sources such as DC-DC converters, Motor control unit, and improperly grounded shielding. Case studies on 2W and 3W EVs
M, Gokul, Patel, Jinay, Mulay, Abhijit B
Advancing Welding Excellence through Numerical Simulation Based Approach: A Multi Pass Welding Case Study on Cast Iron Coupons2026-26-0457To be published on 01/16/2026
The Automotive industry extensively uses cast iron for its exceptional mechanical performance and cost-effectiveness. However, repair welding or assembly of cast iron components remain highly challenging due to the material’s high carbon content, inherent brittleness, rapid thermal conductivity, and complex microstructural transformations. Multi-pass welding exacerbates these challenges by subjecting materials to repeated thermal cycling, accumulating residual stress, and inducing distortion – all of which potentially degrade the integrity of welded joints. A comprehensive understanding of welded joint behavior is essential to effectively mitigate these effects. Finite element analysis (FEA) serves as a powerful tool, enabling accurate prediction of thermal profiles, phase transformations, residual stress development, and resulting deformations. These valuable insights are critical for optimizing welding processes and enhancing overall joint quality. This study investigates and
Vidhate, Digambar, Nalawade, Rahul, Dabhadkar, Mandar, Vaidya, Abhijit, AMMASI, VINOTH, Rajagopalan, Sridhar
Next Gen Automotive EDS Architecture design verification using real-time function mode simulation & failure condition analysis2026-26-0454To be published on 01/16/2026
In current automotive electrical design practices, simulation and functional verification of the Electrical Distribution System (EDS) at the design stage are largely absent. Typically, the validation of controller behaviour and EDS wiring is performed only during HIL, SIL, MIL, prototype testing, or physical vehicle trials, often revealing issues late in the development cycle. This delay leads to costly redesigns, prolonged timelines, and increased chances of failure during vehicle integration. Therefore, there is a critical need for an early-stage simulation methodology that ensures robust EDS and controller design, enabling "first-time-right" readiness at the design stage itself. The proposed simulation framework introduces a function mode-based structural approach, where individual vehicle functions are mapped to their corresponding electrical circuits within the vehicle’s wiring system. Resistance values are allocated to specific paths depending on the active function or
Jaisankar, Gokulnath, Warke, Umakant
Automated evaluation of drive file simulation accuracy2026-26-0528To be published on 01/16/2026
In the area of structural durability testing using servo-hydraulic actuators, developing drive files for the actuators is a major step. Testing outcomes depend on ensuring the simulation accuracy of each drive file. These drive files are developed in an iterative process for different test track surfaces at different road and load combinations till the time we achieve better correlation. Evaluation of simulation accuracy of the drive files is an extensive manual review process, making it time-consuming and resource-intensive. To address this challenge, an application has been developed to automate the comparison of actuator signals with predefined target signal files. This tool enables quick and accurate analysis of each drive file in a test run, facilitating a comprehensive review of signal deviations. Each test run has thousands of drive files based on road-load mix and actuator settings. This application helped us significantly optimize the simulation workflow by reducing the manual
SONI, YASH, Katake, Vrishali, Mullapudi, Dattatreyudu, Chaskar, Mithun
Johnson-Cook model calibration for brittle materials under impact loads2026-26-0367To be published on 01/16/2026
In the assessment of parts subjected to impact loading, the current process relies on static analysis, which overlooks the significant influence of high strain rate on material hardening and damage. The omission of these effects hinders accurate impact simulations, limiting the analysis to comparative studies of two components and potentially misidentifying critical hot spot locations. To address these limitations, this study emphasizes the importance of incorporating the effects of high strain rate in impact simulations. By utilizing the Johnson-Cook material calibration model, which includes both material hardening and damage models, a more comprehensive understanding of material behavior under dynamic loading conditions can be achieved. The Johnson-Cook material hardening model accounts for the strain rate sensitivity of the material, providing an accurate representation of its behavior under high strain rate conditions. This allows for improved prediction of material response
Pratap, Rajat, Apte Sr, Amol, Babar, Ranjit, Dudhane, Karan, Poosarla, Shirdi Partha Sai, Tikhe, Omkar
Effect of pipe bending by rotary tube bending process on durability of frame structure2026-26-0370To be published on 01/16/2026
For Original Equipment Manufacturers (OEMs), ensuring the overall quality of two-wheeler frames hinges on robust process capability and meticulous design considerations. A comprehensive Computer-Aided Engineering (CAE) simulation approach, integrating manufacturing processes and design elements, is vital for achieving optimal durability. This study focuses on developing such an approach through detailed finite element analysis of Cold Electric Welded (CEW) annealed round pipes used in frame construction. We simulate the bending process, capturing structural deformation and residual stresses. A 3D mechanical model with realistic tooling geometries and contact interactions accurately represents shape changes, ovality, and wall thickness redistribution. Unlike Electric Resistance Welded (ERW) pipes, CEW pipes, due to annealing, offer a stress-free initial state, allowing precise deformation analysis. Simulation results demonstrate significant geometric alterations in the bend zone
Rajwani, Ishwar, khare, Saharash
Comprehensive Technology Framework for effective and early leveraging of test assets2026-26-0527To be published on 01/16/2026
The automotive industry is going through a tremendous technological change and its impact on the way we test the functionalities that we offer to the end consumer is continually evolving. This includes the ever-growing need to embed software-based functions to support more and more end user functionality, while at the same time retaining existing and well-established functions, all within short development timelines. This presents both opportunities and challenges, with greater potential for reuse or leverage of test assets, although the actual percentage of leverage on real world projects is practically less than anticipated for a multitude of reasons. As part of paper, we collate the various factors which effect the practical leverage of test assets from one project to another, including various workflows and the interaction across components amongst applications lifecycle management systems. Through this paper, we would describe the current practices of basis analysis in isolation
Venkata, Parameswaran, Kulkarni, Apoorva, RAJARAM, Saravanan, Ganesh, Chamarthi
Study of Style wheel rim failure Due to Rim and disc assembly interference2026-26-0541To be published on 01/16/2026
This study focuses on the investigation of wheel rim failures near weld zone during repeated cornering induced by interference between the rim and disc during the wheel manufacturing assembly process. Strain gauges were employed to capture real-time stress and strain distributions at critical zones during interference fitting. The experimental results revealed that improper interference levels lead to significant stress concentrations, often surpassing the material's elastic limit, initiating micro-crack formation and promoting fatigue failure. Detailed strain analysis indicated that both radial and axial stresses contribute to long-term structural degradation. The study highlights the critical role of dimensional tolerances, surface finishes, and assembly forces in minimizing stress-induced failures. Recommendations are provided for optimizing design and assembly practices to enhance the durability and reliability of automotive wheels.
P, Praveen, DEsigan, Lakshmipathy, K, CHANDRAMOHAN, C, Santhosh
AI-Driven Stress and Fatigue Life Prediction of Engine Connecting Rods using Geometric Deep Learning2026-26-0633To be published on 01/16/2026
The connecting rod is one of the critical components of the engine which is subjected to complex cyclic loading, demanding precise evaluation of stress distribution and fatigue life. Conventional Finite Element Method (FEM)-based simulations, while accurate, are computationally expensive and time-intensive—especially when iterating through multiple design variations. To address this, we present an AI/ML-based predictive framework using Graph Neural Networks (GNNs) and Geometric Deep Learning (GDL) techniques to efficiently predict stress and fatigue life of the connecting rod. The methodology involves representing FEM mesh data as graph structures, where nodes and edges capture geometric and physical relationships. GNN architectures, including MeshCNN and PointNet++, are trained on historical simulation data to learn spatial dependencies and nonlinear mappings between geometry, load conditions, and resulting stress/life outputs. The framework significantly reduces computation time
Pathan, Mohammed Shakil, K, Karthikeyan, pilla, sashanka, S Kangde, Suhas
Condition-Based Monitoring for Prompt Identification of Component Failures to Safeguard the Entire System.2026-26-0576To be published on 01/16/2026
Condition-based monitoring (CBM) has emerged as a transformative approach in predictive maintenance, enabling the proactive identification of potential component failures. It offers numerous advantages like Cost Savings, Increased Equipment Lifespan, RCA of failed parts, Optimized Resource Utilization, Reduced Disruptions, Enhanced Reliability and Safety and many more making it a vital approach for effective maintenance and operational efficiency. This paper presents a comprehensive methodology for monitoring and analyzing vibration trends to predict and prevent the breakdown of critical components in IC Engine in its testing phase. The good part here is that this methodology is not just limited to IC Engine but can be applied across wide range of industries and mechanical systems as from the literature and past vibration data, it was observed that before any such failure engine vibration increases. If the engine is stopped at that moment, it can be preserved, allowing for further
Gupta, Gaurav, Verma, Vivek
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