Browse Topic: Materials properties

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testjmssoftware0605266/4/2026
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Improvement and Demonstration of a Machine Learning-Based Digital Twin Framework for Rotorcraft Life Assessment Using In-Service Operational DataF-0082-2026-00605/5/2026
Traditional safe-life methodologies for rotorcraft structural components rely on deterministic safety factors to account for uncertainty in loads, material properties, and operational usage. While effective for ensuring safety, these approaches lead to early retirement lives and reduced aircraft availability. This paper presents an updated digital twin-based probabilistic framework for rotorcraft component fatigue life assessment that integrates a probabilistic stress–life (S-N) material model, machine learning-based load estimation from flight data, and Monte Carlo uncertainty propagation. The approach is demonstrated for a critical location on the CH-146 Griffon main rotor yoke. Compared with earlier work, the present study advances the framework through independent validation of the load-estimation model and application to available in-service flight data from multiple mission categories. A probabilistic sensitivity analysis is used to examine the separate and combined effects of
Asaee, Zohreh, Bombardier, Yan, Renaud, Guillaume
software supplement testSAE-SUP-TEST144/1/2026
<img src="https://wcm14-tst.cld.sae.org/site/binaries/content/gallery/mobilus-brx/digital-supplements/as7140-data-model.png/as7140-data-model.png/sae%3Amedium" alt="AS7140 Data Model">
test software title CURATDEV-46712345-software3/25/2026
467
TEST TESTSAE-SUP-TEST103/24/2026
TEST https://wcm14-tst.cld.sae.org/site/binaries/content/gallery/mobilus-brx/digital-supplements/software-diagram.png/software-diagram.png/sae%3Amedium
Digital Supplemental Zip Files Test 3/12/26SAE-SUP-TEST023/12/2026
SAE SAE SAE SAE SAE SAE SAE2 SAE2 SAE2 SAE2 Link test: https://www.sae.org/standards/as7140-common-open-data-exchange-format-rotorcraft-health-usage-monitoring-systems-codex-hums
3526 aerospace standard3526-aerospacestandard (Current)3/5/2026
3526 aerospace standard
Aviation Maintenance Committee
3526 information report arinc standard3526_informationarincstandard (Current)3/5/2026
3526 information report arinc standard
Aviation Maintenance Committee
3526 aerospace information report standard3526_aerospacestandardinfo (Current)3/5/2026
3526 aerospace information report standard
Aviation Maintenance Committee
3526 specification arinc standard3526_specification (Current)3/5/2026
3526 specification arinc standard
Airlines Electronic Engineering Committee
3526 characteristic3526_characteristicstandard (Historical)3/5/2026
3526 characteristic standard
Aviation Maintenance Committee
Durability Validation of Full Vehicle Structures Using Strain Correlation and RLDA-Based Simulations2026-26-05231/16/2026
Durability validation of full vehicle structures is crucial to ensure long-term performance and structural integrity under real-world loading conditions. Accurate strain correlation between physical testing and finite element (FE) simulations plays a key role in the validation, ensuring reliable predictions of vehicle durability. In this paper, a comprehensive methodology for strain correlation on a full vehicle subjected to torture track testing is implemented. Strategic placement of strain gauges is determined through a combination of static analysis, modal analysis, and identification of critical stress regions in the FE model. Strain gauges were installed on key structural locations of a prototype to capture strain responses under severe loading environments. Simultaneously, vehicle wheel loads were recorded on the torture track to build a detailed Road Load Data Acquisition (RLDA) dataset at critical hard points, Loads measured in terms of wheel loads (WFT) are fed to MBD model to
JAJU, MAYUR, Dokhale, Sandeep, Gadre, Nilesh, Patil, Sanjay
Next-Gen Driver Health and Wellness Platform for Fatigue Detection and Emotional Wellbeing Monitoring2026-26-06391/16/2026
Driver fatigue and emotional distress are major contributors to traffic accidents, especially among long-haul and professional drivers, making their detection a critical area in road safety and public health. While existing research has explored various sensor-based and wearable solutions to monitor driver states, these approaches often suffer from high cost, intrusiveness, or limited scalability. Camera-based systems have recently gained attention for being less invasive and more practical for real-world deployment; however, many still depend on multiple sensors or cloud-based processing, which raise concerns around energy consumption, privacy, and integration complexity. To address these gaps, we present a sustainable, camera-only Driver Health and Wellness Platform for real-time fatigue detection and emotional wellbeing monitoring. The system leverages a single in-cabin camera and applies lightweight, edge-optimized computer vision models to analyze facial features, eye dynamics
Iqbal, Shoaib, Imteyaz, Shahma
Comprehensive research study examining Tyre wear and its Indian perspective.2026-26-06041/16/2026
Automobile emissions refer to the gases and particles released into the atmosphere by vehicles during their operation. These emissions contribute to environmental pollution and have an impact on human health and the environment. This paper assimilates findings from a comprehensive research study examining tyre wear and its Indian perspective. Tyre wear understood as a factor affecting road safety, environmental health, and economic sustainability. The study identifies factors affecting tyre wear and provides overview regarding tyre wear generation in India, encompassing road infrastructure, vehicle characteristics, driving patterns, and environmental factors. Moreover, it examines the adverse effects of these particles on human health, such as respiratory ailments and cardiovascular diseases, as well as their impact on ecosystems. This paper delves measures to measure tyre wear and safeguard both environmental and public health. It also covers the tyre wear measurement methodologies to
Joshi, Amol, Khairatkar, Vyankatesh, Belavadi Venkataramaiah, Shamsundara
A Comprehensive Analysis of Sealing Methods for EV Battery Packs: Trends and Insights.2026-26-01801/16/2026
The widespread adoption of electric vehicles (EVs) has brought about unique engineering challenges, particularly in the design of battery packs, which are central to vehicle performance, safety, and longevity. One critical requirement is maintaining ingress protection (IP) ratings of IP67 or higher to safeguard against water and dust exposure. These ratings are essential to ensure compliance with homologation standards and to meet the demands of diverse terrains and operating conditions. Achieving effective sealing of EV battery packs is thus a key aspect of their design and engineering. This study presents an in-depth analysis of sealing technologies employed in EV battery packs, focusing on four primary types: Adhesive-based sealants, Cure-In-Place Gaskets (CIPG), Foam Cut seals, and Rubber Gaskets. Benchmarking data gathered from more than 90 vehicle models across 20+ brands provide insights into adoption trends, historical shifts, evolution and interface requirements of different
Varambally, Vishakha, Sithick basha, Abubakker, Chalumuru, Madhu, Yaser, K U Syed, Sasikumar, K
Assessing the impact of hole piercing edge quality on fatigue samples for S550MC steel sheet.2026-26-03061/16/2026
The exceptional strength, formability, and weldability of S550MC steel sheets make them a cornerstone material in the automotive industry. These properties translate into the creation of high-performance automotive components like chassis parts, structural reinforcements, and safety cages, ultimately contributing to enhanced vehicle safety and overall performance. Furthermore, S550MC steel boasts excellent fatigue resistance, a critical factor for ensuring long-term reliability in demanding automotive applications that experience repeated stress cycles. However, beyond its inherent properties, optimizing the performance of S550MC components hinges on a nuanced understanding of the critical relationship between hole edge quality and fatigue failure. This meticulous study delves into the impact of hole-piercing clearance on the quality of the hole edges in modified fatigue samples manufactured from S550MC steel, and its effect on the fatigue life. The surface morphology was assessed
Nahalde, Sujay, Hingalje, Abhijeet, Ughade, Vikas, Singh, Udita, More, Hemant
Experimental and Numerical Investigation of Modal Behaviour in Electric Two-Wheeler Frames2026-26-03101/16/2026
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
Investigating Thermal Fatigue Cracks in Exhaust Manifolds of Longitudinally Mounted 1.2L 4-Cylinder Engines2026-26-04881/16/2026
This study addresses the challenge of ensuring the durability of closed couple exhaust manifolds in the compact engine bays of modern vehicles, focusing on a longitudinally mounted 1.2L 4-cylinder engine. The original sheet metal Exhaust manifold design failed thermal fatigue bench durability test, requiring a complete redesign to improve strength without changing materials. Initial simulation predictions significantly deviated from physical test results, with repeated cracks observed during accelerated thermal fatigue bench testing, despite simulations predicting a higher number of cycles before failure. This difference highlighted the need for a deeper understanding of the manifold's failure modes, primarily thermal fatigue, and mechanical vibration during engine transients. The design of experiment (DOE) approach was used to find the effect of different parameters e.g., gas temperature, surface temperature, air flow, thermal gradient, on the durability result & also to understand
Krishnan, K.S.Gopala, Mishra, Ashutosh, Yadav, Sanjay Kumar, Kumar, Deepak, Tripathi, Manas, kumar, prabhakar
Development of Advanced Thermoplastic Elastomeric Mat and Its Study on Thermal Performance of Wireless Charging System2026-26-02831/16/2026
This study aimed to develop a thermally conductive TPE mat and assess its performance in comparison to an existing antiskid rubber mat, specifically evaluating its impact on wireless charger efficiency. Moreover, morphological and thermal analyses were conducted to establish a correlation between the material behaviours of the new and current thermally conductive antiskid mats. The process of developing the thermally conductive TPE involved utilizing a two-roll mill followed by compression moulding to achieve a 2D sheet shape. Notably, the thermally conductive mat demonstrated a consistent enhancement in charging efficiency over the conventional antiskid mat. To examine the thermal characteristics, thermal characterization techniques including DSC and TGA were employed for both the existing and newly developed mats. FTIR spectroscopy was also utilized to confirm the presence of organic functional groups within the mat. The morphological analysis of the fillers used to enhance thermal
NAIKWADI, AMOL TARACHAND, Mali, Manoj, Patil, Bhushan, Tata, Srikanth
A Study on the Microstructural Changes and Corrosion Behavior and Mechanical Properties in Stainless Steel Welds with Single Versus Double Stabilized Welding Wires2026-26-02881/16/2026
This research investigates the influence of stainless-steel stabilization, using single (titanium) and double (titanium and niobium) stabilized ferritic weld wires, on the metallurgical, mechanical, and corrosion behaviors of weld seams and their heat-affected zones (HAZ). Two ferritic stainless-steel samples, one stabilized with titanium (Sample No. 1) and the other with titanium and niobium (Sample No. 2), were selected for this comparative study. The research involved comprehensive analysis, including fatigue testing of the welded joints produced by both types of wires (430LNb & 430LNbTi), correlated with detailed microstructural and mechanical characterization. Metallographic analysis via optical microscopy revealed distinct features of the HAZ and weld seam, focusing on grain size, shape, and weld geometry. Micro-hardness measurements were conducted to elucidate the mechanical properties of the weld seams. Tensile testing was performed using a Universal Testing Machine to assess
Gaware, Amol Chandrakant
Non-metallic inclusions in carburizing steels as a contributory factor for the formation of carbide net2026-26-02901/16/2026
The article deals with the issue of identifying structural defects that contribute to the formation of a carbide net during thermochemical treatment of steel parts, which negatively affects the mechanical properties complex of finished products. Based on the available data, a theory has been put forward regarding the influence of the present non-metallic inclusions in the carburizing steels structure on carbide formation process in the hardened layer. As an experimentally the samples have been produced from the varying chemical composition alloy structure carburized steel (0.17-0.23 % C, 0.17-0.37 % Si, 0.80-1.10 % Mn, 1.00-1.30 % Cr, 0.03-0.09 % Ti). During microstructure analysis of the samples it has been establish that non-metallic inclusions, in particular sulfides, contribute to the formation of carbides and carbide net in steel due to their high chemical activity with carbon. Thus, contamination of the metal of carburizing steels with non-metallic inclusions is not only a defect
Runova, Iuliia, Chatkina, Mariia, Musienko, Aleksandr
Johnson-Cook model calibration for brittle materials under impact loads2026-26-03671/16/2026
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
Comprehensive Durability Assessment of Planet Carrier in Heavy-Duty Tipper Gearboxes Using RLDA Torque Data2026-26-04431/16/2026
In heavy-duty tippers, where challenging conditions demand high torque, planet carriers play a crucial role by enabling efficient load distribution and torque transmission while supporting gear ratio and speed variation in space-constrained systems such as automatic transmissions, hybrid drivetrains, and electric vehicles. This paper focuses on the comprehensive durability performance assessment of planet carriers using duty cycles derived from RLDA measurements for a heavy-duty tipper gearbox development program. The existing Design Validation Plan (DVP) for the planet carrier considers first gear utilization of 10-15% at 40% vehicle overload, in line with historical data. However, recent trends in mining applications revealed vehicle overloads of 55-65%, leading to an increase in first gear utilization (25-35%). This shift presents challenges for OEMs to enhance design durability while incorporating additional safety margins to meet the demands of a competitive, cost-driven market
Bagane, Shivraj, Pendse, Ameya
Enhanced Methodologies for predicting Automotive Wheel Bearing life and damage using RLDA2026-26-04821/16/2026
The durability of wheel bearings is assessed in terms of raceway life and flange life. Raceway life focuses on the performance and damage tolerance of rolling elements, while flange life evaluates the structural integrity of wheel flanges under operational stresses. Traditionally, durability predictions relied on conventional design methods and analytic formulas for raceway spalling, as well as static load assumptions for flange fatigue analysis. Recently, integrating design of experiments (DOE) with traditional approaches has enhanced these methods, enabling systematic evaluation of design variables and loading conditions. This paper introduces a methodology for analysing raceway life and damage in automotive wheel bearings using RLDA (Road Load Data Acquisition) data. The process involves acquiring raw deterministic load data, filtering it to preserve high-peaked signals, and transforming the filtered data into block cycles derived from load time histories. Each block cycle contains
Narendra, Vishwanath, Mane, Yogiraj, Paua, Ketan, Singh, Ram Krishnan, Vellandi, Vikraman
Simulation Based Approach to Optimize Electric Vehicle Battery Thermal System2026-26-03761/16/2026
The performance and longevity of Li-ion batteries in electric vehicles are significantly influenced by the cell temperature. Hence, efficient thermal management techniques are essential for battery packs. Simulation based optimization approaches can enhance these techniques during early product development and life cycle. In this work, a method to optimize the battery thermal system comprising of cooling plate and external insulation is described. The first part is to optimize the cell heat extraction by the cooling plate. The heat transfer coefficient of the coolant is a parameter which can indicate the thermal efficiency of a cooling plate. At the same time, it's important to keep the coolant pressure drop within a reasonable limit. A 1D simulation methodology is described to optimize the cooling channel height based on pressure drop and heat transfer coefficient targets. This methodology is based on empirical correlations and multi-objective pareto optimization. The advantage of
U, Reghunath, P S, Shebin
Thermo-Mechanical Fatigue Assessment of Cylinder Heads Using Advanced Simulation Techniques2026-26-04651/16/2026
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
Effect of the Flow Forming Process on the Mechanical properties and Microstructure of GDC & LPDC cast aluminum alloy wheels.2026-26-02981/16/2026
Aluminum alloy wheels have become the preferred choice over steel wheels due to their lightweight nature, enhanced aesthetics, and contribution to improved fuel efficiency. Traditionally, these wheels are manufactured using methods such as Gravity Die Casting (GDC) [1] or Low Pressure Die Casting (LPDC) [2]. As vehicle dynamics engineers continue to increase tire sizes to optimize handling performance, the corresponding increase in wheel rim size and weight poses a challenge for maintaining low unsprung mass, which is critical for ride quality. To address this, weight reduction has become a priority. Flow forming [3,4], an advanced wheel production technique, offers a solution for reducing rim weight. This process employs high-pressure rollers to shape a metal disc into a wheel, specifically deforming the rim section while leaving the spoke and hub regions unaffected. By decreasing rim thickness, flow forming not only reduces overall wheel weight but also enhances strength and
Singh, Ram Krishnan, Medaboyina, HarshaVardhan, G K, Balaji, Gopalan, Vijaysankar, SUNDARAM, RAGHUPATHI, Paua, Ketan
Optimizing Busbar Design by Investigating Critical Parameters and Their Influence on Electrical and Thermal Behaviors for Reliable Electric Vehicle Battery Packs.2026-26-04741/16/2026
With the rise of EVs, researchers are focusing on optimizing busbar design to meet the demands of high energy density, fast charging, and compact battery packs. The busbar design starts with selecting the cross-sectional area based on current-carrying capacity and material type. The width matches or exceeds the battery cell terminal size, while the length is optimized based on space constraints. The research also highlights the risk of busbars to oxidation and corrosion, which increases resistance and decreases thermal conductivity for which Plating and coating techniques are applied to improve surface hardness, durability, and thermal conductivity while minimizing heat loss. Using simulations and experimental validation, the study examines three key design parameters: weld diameter, electrical resistance, and contact resistance. A detailed analysis investigates how weld diameter influences electrical resistance and temperature rise, as well as the impact of contact resistance between
Nogdhe, Yogesh, Singh, Shobit Kumar, Paul, Jibin, Mishra, Mukesh, MENON, Praveen
Innovative Friction Locking Mechanism for High Voltage Busbar Connections in EV Batteries2026-26-01551/16/2026
In the development of high-voltage (HV) batteries, ensuring secure connections between HV conductors and maintaining the safety and performance of the battery pack is paramount. Therefore, In the pursuit of enhancing efficiency and reliability in electrical connections, this paper explores the innovative alternate for a traditional screwing method with a friction locking mechanism for connecting busbars. The novel design reimagines the busbar as a Friction clamp (Female part) that securely holds the male part of the Busbar, significantly increasing the contact surface area up to 50%. This enhanced surface area not only improves electrical conductivity but also reduces heat generation, addressing common issues associated with traditional screw-based connections. By eliminating the need for screws, the new design streamlines the assembly process, resulting in reduced cycle times and improved overall assembly line efficiency. This study presents the design methodology, performance
Venkatesh, Murali, Raghu, Arun, Bhramanna, Amol
Wheel side load calculation using the strain measurement on swingarm and duty cycle development2026-26-05831/16/2026
Typically duty cycle development for any component carried out in the absence of direct acting load will be based on the measured strain from the Road Load data Acquisition(RLDA) and comparing it with the rig level testing. The biggest drawback from such an approach is the fact that the selected loads can be drastically different from the actual experienced peak load from the actual RLDA. This happens because the strain gauges will have sensitivity toward all three directional loads and sometimes due to complex structure design uni-directional sensitive locations are difficult to find out or strain gauge. This will lead to over predicting the loads in some cases and the selected load may end up yielding the component in a single cycle itself. This paper discusses the method employed to calculate the loads at the input load location using the strain gauges which are cross sensitive and using that input loads to select the loads for the testing of the component. Also it talks about the
Anandh, Sudheep, Prasad, Sathish, R S, Mahenthran
Failure Prevention of Permanent Deformation in HNBR Elastomeric Diaphragms Used in CNG Valve Applications2026-26-02941/16/2026
Hydrogenated nitrile butadiene rubbers (HNBR) and its derivatives have gained the significant importance in automotive compressed natural gas (CNG) valve applications. In one of the four-wheeler CNG valve application, HNBR elastomeric diaphragms are being used for their excellent sealing and pressure regulation properties. The HNBR elastomeric diaphragm was developed to sustain CNG pressure more than 10 bars. However, it was found permanently deformed under 4 bar pressures. In the present work, a set of experiments were carried out in order to find out the primary root cause of diaphragm permanent deformation and preventing the failure for safe usage of the CNG gas. HNBR diaphragm deformation investigation was carried out using advanced qualitative and quantitative analysis method such as Soxhlet Extraction Column, Fourier Transform Infrared Spectroscopy (FTIR), Differential Scanning Calorimetry (DSC), Optical Microscopy (OM), Scanning Electron Microscopy (SEM) and Thermogravimetric
Patil, Bhushan Gulab, NAIKWADI, AMOL, Mali, Manoj, Tata, Srikanth
Fatigue Life Prediction Methodology for Vehicle Suspension System and correlation with Physical Test2026-26-04591/16/2026
Fatigue Analysis is a safety critical area in design engineering for load bearing members. The design of a durable suspension system forms the foundation of vehicle architecture. The challenge lies in accurately predicting fatigue in critical areas to reduce field failures, primarily due to the absence of a validated methodology for fatigue calculation. This study provides an overview of fatigue assessment for Knuckle assembly/Rear Twist Beam based on digital Road Load/test Data for Finite Element Analysis (FEA) process for design development. This study makes use of Computer Aided Engineering (CAE) solvers such as Optistruct for model setup and fatigue tool such as nCode/FEMFAT for Fatigue Analysis. The methodology used for Fatigue estimation of rear suspension components such as Rear Twist Beam and Knuckle assembly is based on Digital Road Load Data/duty cycle loads applied to the suspension components at the hard point location at assembly level. The fatigue process used for
Kokare, Sanjay, Nagapurkar, Tejas, Iqbal, Shoaib
Novel Approach on Material characterization Testing of various Wiring Harness2026-26-05481/16/2026
The automotive wiring harness (length of 4-5 km) is a very important and complex system in the development of a modern car due to a lot of new electric & electronic components and sensors. It is a very sensitive material unlike metals and is considered as a composite which is highly anisotropic in nature, as it consists of several different layers of copper/aluminum strands and insulation. Because of insulation, wiring harness exhibits viscous plastic behavior which is crucial in determining the durability and long-term performance of the cables. Material properties play an important role in determining the behavior of wiring harness after assembly into the car. Wiring harness may undergo Bending, Torsion and Tension loads, causing the stress and strain in the individual electrical wires. The lack of CAE validation of the wiring harness routing may lead to extra costs for the automotive OEMs over a period. This paper describes the novel method of Testing the Cables and Bundles used in
Beesetti, Siva, Kalkala Balakrishna, Prasad, James Aricatt, John, SHAH, Dipam, Tas, Onur, Krogmann, Stephan
A review on 'sensor technologies', its application, regulatory standards & emerging trend towards safe hydrogen economy.2026-26-01111/16/2026
In a developing country like India, the growing energy demand across all sectors underscores the urgent need for clean, sustainable, and efficient energy alternatives. Hydrogen stands out as a promising fuel, offering virtually zero emissions and helping to reduce greenhouse gas (GHG) emissions, which directly contributes to mitigating global warming, ensuring a cleaner environment, and lowering dependency on fossil fuels. In line with Sustainable Development Goal 7 (SDG 7), which seeks to guarantee that everyone has access to modern, cheap, and sustainable energy, hydrogen is well-positioned to be a major player in India's energy transformation. However, hydrogen has unique properties such as its wide flammability range, high reactivity, and high energy content present significant challenges in terms of safety, particularly in its storage, transportation, and usage. Improper handling or inadequate safety measures can lead to hazardous incidents, making robust testing, certification
Pawar, Yuvraj, Dekate, Ajay Dinkar, Thipse, S, Belavadi Venkataramaiah, Shamsundara
Numerical Investigation on Thermo-Mechanical Characteristics of Injection-Molded Thermoplastics using Anisotropic Material Properties2026-26-02801/16/2026
This paper presents a comprehensive numerical method intended at developing a coupled process structure simulation that integrates both elastoplastic and anisotropic material behavior for short glass fiber-reinforced injection-molded thermoplastics. Three engineering tools, namely Moldflow, Digimat, and ABAQUS are used in the current numerical methodology to assess material anisotropy and its influence on thermo-mechanical characteristics. The simulation incorporates fiber orientation concerns as well as potential injection molding defects known as weld lines, linking with thermo-mechanical simulations. The behavior of real injection-molded components is computationally represented by the ability to transfer data from injection molding software (Moldflow) to structural software (ABAQUS). Besides, integrating with multi-scale modeling software Digimat as an interface tool, the results of the Moldflow simulations, such as fiber orientations and weld-line properties transmitted directly
T, KALINGA, Yanamadala, Dharma Teja, Mattupalli, Venkata, Chirravuri, Bhaskara, Miller, Ronald
Manufacturing process advancement in CNG Exhaust Valve to prevent seat wear issue2026-26-02781/16/2026
Exhaust Valve CNG market share increased in India in recent years demanding for more durable and reliable CNG Engine. While in current scenario durability is one of the major concerns for CNG engine. Major issue faced in CNG powertrain is high wear at Exhaust valve CNG face due to excessive wear. In Current practice T400 Sintered material layer is deposited at Valve face which is very critical to achieve less wear at valve face. Due to manufacturing variability high level of variation is found mechanical properties of T400 deposit which is very critical for Exhaust Valve CNG performance. In this paper all important process parameters are discussed for achieving consistent Exhaust Valve CNG T400 deposit quality. Each process parameter detail impact on T400 material is studied and explained to achieve consistent quality of T400 deposit leading to robust design of Exhaust Valve CNG.
Poonia, Sanjay, KUMAR, CHANDAN
For CNG and FFV fuel application robustness improvement of Exhaust Valve2026-26-01251/16/2026
Today, globally, automotive manufacturers are striving to meet the increasing demand for fuel economy, high performance, and silent engines. The fundamental approach to achieving these requirements is through designing low friction mechanisms, resulting in less wear and higher durability. The demand for CNG vehicles has surged exponentially in recent years, prompting increased government focus on alternative fuels such as CNG and hydrogen. These dry fuels lack lubricating properties, unlike conventional fuels like petrol, diesel, and biofuels, which are wet and liquid. Consequently, the operations and failures associated with these fuels differ. The materials and designs of engine parts, such as fuel lines, ECU, exhaust valves, and cylinder heads, vary depending on the fuel used. This study discusses the countermeasures adopted to address the high seat and guide wear in cylinder heads and valves. The investigation focuses on material, design, and manufacturing process improvements
Poonia, Sanjay, KUMAR, CHANDAN
Application of DOE Techniques to Identify Factors Influencing Gearbox Synchronizer Wear and Life.2026-26-04891/16/2026
Gearbox synchronizers are essential components for ensuring smooth gear shifting in both manual and automated manual transmissions. The lifespan of a synchronizer is influenced by a complex interplay of several factors, including synchro geometry, lubrication, friction material properties, clutch design parameters, powertrain vibrations, and various operating conditions. These factors contribute to the wear and degradation of synchronizers over time, affecting the overall performance and durability of the transmission system. This paper investigates the influence of various design and operational parameters on the synchronizer's life using a Design of Experiments (DOE) approach. A comprehensive experimental plan was meticulously developed to systematically vary key factors such as synchronizer friction material, the number of cones, lubricant viscosity, and clutch stiffness, among others. The resulting experimental data was analyzed through statistical methods, particularly regression
Jagtap, Amol Shivaji, Koulage, Dasharath, Rudramath, Sagar
Investigation of Fatigue Durability Failure Mechanisms in High-Pressure Hydraulic Pipes of Power Steering Systems2026-26-05421/16/2026
Abstract—The high-pressure hydraulic pipeline in the power steering system is a vital component for ensuring optimal performance. During warranty analysis, leakage incidents were observed at the customer end within the warranty period. The primary factors contributing to these failures include pipe material thickness, material composition, mechanical properties, and engine-induced vibrations. This study investigates fatigue-related failures through detailed material characterization and Computer-Aided Engineering (CAE) based on real world usage road load data collected. The objective is to identify the root causes by examining the influence of varying pipe thickness on fatigue life. The investigation discovered that crack initiation predominantly occurred on the concave side of bent pipe sections, specifically on the engine-side high-pressure steering line, which is connected to the power steering pump mounted on the engine. Fracture surfaces exhibited characteristics consistent with
SURVADE, LALIT, Koulage, Dasharath Baliram, Biswas, Kaushik
Study of Style wheel rim failure Due to Rim and disc assembly interference2026-26-05411/16/2026
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
Accelerating Product Development Life Cycle through Digitalization of Fatigue Life for Structural Components2026-26-04961/16/2026
In today’s competitive market, accelerating product development without compromising durability is critical. Durability is a key benchmark for assessing the quality and reliability of automotive products. To meet rising customer expectations and regulatory demands, the industry must develop vehicles that offer high performance and reduced weight while ensuring safety. A well-engineered vehicle must retain structural integrity and functionality under normal operating conditions and withstand extreme load events without critical failure. Achieving this requires effective Road Load Data Acquisition (RLDA), integrated with robust design practices and efficient validation processes. However, physical RLDA is time-consuming and costly, as it depends on prototype vehicles that are often available only in the later development stages. Failures identified during these late-stage tests can delay the product launch significantly. To address these challenges, this paper introduces a digital
Kokare, Sanjay, Dwivedi, Sushil, Siddiqui, Arshad, Iqbal, Shoaib
Advanced Indirect Tire Health Monitoring System Using Transfer Learning for Predictive Maintenance2026-26-06701/16/2026
Tire wear is a critical factor in vehicle safety and operational reliability, with worn-out tires contributing to nearly 30% of highway blowouts and a significant portion of tire-related accidents. Traditional tire wear indicators—such as tread wear bars or mileage-based replacement schedules—lack precision, do not offer real-time feedback, and often fail to prevent hazardous situations caused by uneven or rapid tire degradation. These shortcomings underscore the urgent need for intelligent, data-driven solutions in predictive tire maintenance. While earlier efforts have focused on physical models or basic machine learning algorithms, their limited adaptability and poor generalization across platforms reduce effectiveness in real-world deployments. This paper presents a Machine Learning-based Tire Wear Prediction System, designed for both cloud-based analytics and on-vehicle edge deployment. The system predicts individual tire wear using CAN-based inputs, supported by a transfer
Imteyaz, Shahma, Iqbal, Shoaib
Development of Door Impact Loads Using Frugal use of Pedal Force Sensor2026-26-05381/16/2026
The first step in designing or analyzing any structure is to understand “right” set of loads. Typically, off-road vehicles have many access doors for service/getting into cab etc. Design of these doors and their latches involve a knowledge of the closing loads when the door is shut mostly with an impact of varying magnitudes. In scenarios of these impact events, where there is sudden change of velocity within few milliseconds, produces high magnitude of loads on structures. One common way of estimating these loads using hand calculations involves evaluating the rate-of-change-of-momentum. However, this calculation needs “duration of impact”, and it is seldom known/difficult to estimate. Failing to capture duration of impact event will change load magnitudes drastically, e.g. load gets doubled if time-of-impact gets reduced from 0.2 to 0.1 seconds and subsequently fatigue life of the components in “Door-closing-event” gets reduce by ~7 times. For these problems, structures are usually
Valkunde, Sangram, Ghate, Amit, GAGARE, KIRAN
Failure Analysis of Dissimilar Metal Weld Joint of an Air Spring Bracket within an Automotive Active Seat Suspension System2026-26-04871/16/2026
In modern four-wheelers, seat suspension systems play a crucial role in enhancing occupant comfort by mitigating the effects of road unevenness and vibrations. Among these systems, active suspension mechanisms offer advanced performance through complex assemblies involving welded, riveted, and bolted joints. This study investigates the failure of an air spring bracket - a critical component of a pneumatic active suspension system - manufactured by Gas Metal Arc Welding (GMAW) of two dissimilar ferrous materials which are likely to be SAPH440 and S355J2. These different materials were used based on mechanical properties required to perform by their particular part. System level validation tests were conducted to ensure the reliability of the seat suspension system. The one of the validation tests is continuous cyclic fatigue test which is carried out on the complete seat assembly. However, during vibration / cyclic endurance testing, premature failures were observed near the weld joints
Patale Jr, Reshma, PINJARI, JAYANT NAMDEV, BALI, SHIRISH
Decision-fatigue mitigation in Automotive HMI System2026-26-06521/16/2026
Abstract - With advent of digital displays in driver cabins in commercial vehicles, the drivers are getting offered with many features. Due to availability of vast number of features, drivers face decision fatigue in choosing the appropriate features. Many are unaware of all available functionalities displayed in the HMI System, leading to a bare minimum usage or complete neglect of helpful features. This not only affects the driving efficiency but also increases cognitive load, especially in complex driving scenarios. Instead of manually choosing between multiple settings, the driver can simply activate a recommendation mode, allowing the system to optimize selections dynamically. Novelty of this proposal focuses on introducing Intelligence in HMI Systems in such a way that it will maximize the usage index and reduce decision fatigue in drivers. To achieve this, an AI-driven recommendation system is introduced, based on User Customization and Adaptive Learning Model along with ML
K, Sunil, Dhoot, Disha
"Parametric Evaluation of Rolling Resistance in Bias & Radial Tyres and influence of key operational parameters under varying conditions."2026-26-06061/16/2026
Tyre rolling resistance is a fundamental parameter in automotive engineering, directly impacting vehicle fuel efficiency and overall performance. The Rolling Resistance Coefficient (CRR) is influenced by tyre construction, material properties, and operational conditions such as inflation pressure, vehicle speed, load, ambient temperature, and road surface roughness. This study investigates the influence of critical parameters—including test speed, inflation pressure, load, temperature, and slip angle—on the rolling resistance of tyres of various sizes. While previous research has predominantly focused on radial tyres, this paper extends the analysis to include bias-ply tyres, which remain widely used in ASEAN countries, including India. The findings aim to offer valuable insights for policymakers and researchers by examining the behaviour of bias tyres under real-world conditions. Special focus is given to the influence of slip and camber angles, with experiments conducted on passenger
Joshi, Amol, Khairatkar, Vyankatesh, Belavadi Venkataramaiah, Shamsundara
Design optimization of the propeller shaft and transfer case for high-speed 4WD vehicles2026-26-03431/16/2026
Nowadays, vehicle enthusiasts often vary their driving patterns, ranging from driving at very high speeds to off-roading. Due to these driving patterns, 4WD vehicle demand is continuously growing day by day. A 4WD vehicle used to have better traction control with enhanced stability. The 4WD vehicle performance and reliability at high speed are critically influenced by driveline stiffness and natural frequency. Driveline stiffness and natural frequency are very critical parameter for high-speed vehicles, that significantly influenced by the propeller shaft and transfer case. This study focuses on the design optimization of the transfer case and critical frequency of propeller shafts to enhance vehicle performance at high speeds. The analysis begins with a comprehensive study of the factors affecting power transfer path, transfer case stiffness, critical frequency, including material properties, propeller shaft geometry and the boundary conditions. Advanced computational methods are
Kumar, Sarvesh, Yadav, Sahdev, S, Manickaraja, Sanjay, L, Kanagaraj, Pothiraj, Jain, Saurabh Kumar, Deole, Subodh M
Design Robustness of Electronic Locking Differential for enhanced off-road performance2026-26-05021/16/2026
The Electronic Locking Differential (ELD) is a critical component for enhancing off-road vehicle performance by ensuring optimal traction in challenging terrains. This paper addresses intermittent engagement issues observed in the ELD system during off-road trials, which impacted its reliability and functionality. It presents a comprehensive study of design robustness improvements implemented to resolve these concerns and optimize the ELD’s performance, ensuring enhanced customer satisfaction in demanding off-road environments. The analysis begins with identifying factors contributing to the intermittent engagement and disengagement of the ELD system upon actuation. These factors include residual magnetism, material properties, temperature effects, and the stack-up characteristics of transfer path components under various boundary conditions. To address these challenges, three key design modifications were introduced: (1) reduction of residual magnetism through an increased air gap
S, Mohd Imtiaz, AP, Baaheedharan, Ghumare, Dheeraj, Kanagaraj, Pothiraj, Jain, Saurabh Kumar
AI-Driven Stress and Fatigue Life Prediction of Engine Connecting Rods using Geometric Deep Learning2026-26-06331/16/2026
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
Structural analysis and Design optimization of Cylinder Head of Cummins Light duty Engine for Medium Wheelbase (MWB) pick-up truck2026-26-04951/16/2026
This paper presents the design, structural analysis, and risk assessment done by Cummins to evaluate the structural integrity of Light Duty engine cylinder head for a Medium Wheelbase (MWB) pick-up truck. Initially, Cummins used F2.5L (4-cylinder) engine that has 154hp, but rising market demands for more power, fuel efficiency, lower cost and weight, and future emission compliance led to customer requirements for 177hp (Drive New F2.5L, 15% uprate) and 197hp+ (Drive New F3.0L, 22% uprate) from the same base engine. The increase in power requirement possesses challenges on critical components, especially cylinder heads in terms of thermal and structural limits. This paper addresses the challenges and risks in current cylinder head design driven by new power demands, specifically reduced fatigue margins in the water jacket area and increased temperatures on the combustion face under high thermomechanical loads. It explores the design modifications made to the cylinder head design to
Pathak, Arun Jyoti, Adiverekar, Vaidehi, Singh, Rahul, Biyani, Mayur
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