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Analysis Techniques for Racecar Data Acquisition [mms update 07.03.25]R-367To be published on 03/22/2099
Data acquisition has become an invaluable tool for establishing racecar - and car/driver - performance. Now that the ability exists to analyze each and every performance parameter for car and driver, accurate use of this data can provide a key advantage on the racetrack. This book provides a thorough overview of the varied methods for analyzing racecar data acquisition system outputs, with a focus on vehicle dynamics.
Segers, Jorge
Development of a GUI-Based Pitch Sequence Optimization Tool for Tyre Noise Reduction2026-26-03301/16/2026
Minimizing tyre noise is essential for enhancing ride comfort, especially in electric vehicles where the absence of engine noise makes tyre-generated sound more prominent. This work presents the development of a GUI-based pitch sequence optimization tool to support tyre design engineers in generating acoustically optimized tread sequences. The tool operates in two modes: without constraints, where the pitch sequence is optimized freely to reduce tonal noise levels; and with constraints, where specific design rules are applied to preserve pattern consistency and manufacturability. This tool plays a pivotal role in the tire development process, serving as one of the key evaluation criteria for tread pattern approval before mould fabrication. By enabling engineers to generate balanced, low-noise pitch sequences that align with both acoustic targets and engineering constraints, the tool facilitates faster design iterations and smooth integration with downstream processes. Its successful
Sampathraghavan, Lakshmi, Ramarathnam, Krishna Kumar, Mantripragada PhD, Krishna Teja, Ramachandran, Neeraj
Safety Locking and alert system for Container trailers with Geo fencing2026-26-02731/16/2026
The Container trailer is used worldwide to transport goods & materials especially e-commerce applications with valuable materials. These container trailers are presently locked with a mechanical locking system and often broken and unlocked by unauthorized people. During transportation time, the driver stops for natural calls, food or any other breakdown, the attempt is made to steal the materials. Many cases were known only after damages are done. It has become a serious issue nowadays in the transportation industry. To avoid these problems, we have designed and developed a system that operates pneumatically with digital locking control. The system is designed to ensure proper safety by rigid mechanical locking. It is actuated by a pneumatic system consisting of Directional control valve & pneumatic cylinders. The lock and unlock inputs are given through digitally and the digital controller provides the appropriate input to solenoid operated direction control valve. Based on the
kumaran, Rajasekar
Post-EOL Cybersecurity Validation for Automotive Production ECUs2026-26-06081/16/2026
ISO/SAE 21434 emphasizes comprehensive cybersecurity risk management throughout the automotive lifecycle. However, specific guidance on validating cybersecurity measures at the production level remains limited. This paper addresses the gap in production-stage validation, particularly after End-of-Line (EOL) flashing, which includes configurations of security hardware and software protection (e.g., UCB confirmation, JTAG, and P-flash password settings). Problem articulation: Current automotive cybersecurity validation methods, despite adherence to ISO/SAE 21434, lack specific procedures for the production stage. The existing system-level validation using the ASPICE V-model (e.g., SWE.6, SYS.5) does not ensure the integrity and functionality of cybersecurity features in the final manufactured unit post-EOL flashing. This gap poses a risk of vulnerabilities being introduced during the EOL process, compromising critical security measures. Proposed solution: To mitigate the cybersecurity
Chakraborty, Sucheta, Kulanthaisamy, Nagarajan, Sankar, Ganesh
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
The Impact of Color Correlated Temperature (CCT) on Automotive Headlights Performance and Driver Perception2026-26-01301/16/2026
Automotive lighting has been evolved from simple incandescent lamps to advanced LED based AFS and ADB functions. These lighting play crucial role in road traffic enhancing better visibility and safety to driver as well as other road users. Today’s Automotive Headlights use different light sources viz., Halogen, HID (Xenon), LED, and Laser each emitting light at different correlated color temperatures (CCT), measured in Kelvin (K). Color temperature not only influences visibility but also impacts the amount and perception of glare experienced by other drivers. The study was undertaken to evaluate the effect of correlated color temperature of automotive headlamps on driver visibility and comfort during night driving conditions. The experiment was conducted in a controlled laboratory environment using headlamps with different CCTs ranging from 3000K to 6500K. Participants from various age groups and genders were involved to capture diverse perceptions. Studies confirm that both CCT and
Patil, Mahendra Govind, Kirve, Jyoti Kirve, Parlikar, Padmakumar
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
OPTIMIZER SUNSHADE PACKAGING WITH HALF ALUMINIUM CASSET AND METAL PULL BAR2026-26-05971/16/2026
The automotive industry is advancing rapidly with the integration of cutting-edge technology, aesthetics, and performance. One area that has remained relatively underexplored in the pursuit of sleek, minimalistic interiors is the Sunshade packaging in door trim system. Traditional sunshade design, often bulky and are increasingly incompatible with the trend towards compact. Car sunshade is a shield that is placed on a car side window, and it is used for regulating the amount of light entering from the car window and improves the passenger comfort inside the cabin. Car Interior components specifically plastic and seats based on thermal stress properties. When we exposed these parts direct contact with sunlight, humidity and ambient temperature above threshold limit then interior plastic parts can start softening and melt after that they emit harmful chemical which is caused to anemia and poor immune systems. So, Sunshade protection not only serve to protect passenger comfort inside car
palyal, Nikita, D, GOWTHAM, BHASKARARAO, PATHIVADA, bornare, harshad, RITESH, KAKADE
"Design and process Optimization of Suspension Components Under RWUP-based Loading Conditions"2026-26-05141/16/2026
Title: Challenges faced during design and manufacturing of POM (Polyoxymethylene) ring in Macpherson strut suspension. Abstract: Designing and manufacturing a POM (Polyoxymethylene) ring for a MacPherson strut suspension system brings a unique set of challenges due to the high-performance and durability demands for Indian road application. POM ring along with bump used in the shock absorber is designed to absorb the strong shock coming from the road inputs when suspension travel reached to the maximum limit there by absorbing the impact energy and preventing it from transferring it to the body. A bump stopper for a suspension of a vehicle is made of poly urethane (PU) and POM ring (Polyoxymethylene). The bump stopper forms of a bellows shape during the absorption of impact energy. Bellow or wrinkle in which concaves and convexes are repeated is formed on the outer surface of the bump stopper. POM ring is placed in the concaves of bump stopper which will define load, deflection
Koritala, Ashok Kumar, Malekar, Amit, kulkarni, Purushottam, S, SIVASHANKAR, Mishra, Harshit, Ganesh, Mohan Selvakumar, Patnala, Avinash, J, Ramkumar, NAYAK, Bhargav, M, Sudhan
Virtual Paint Shop: Automotive E-coating Process2026-26-03651/16/2026
The automotive paint shop is one of the most energy-intensive processes in vehicle manufacturing. This drives automotive OEMs to continuously improve production efficiency and reduce operational costs through digital twin technologies. Additionally, the push for shorter time-to-market emphasizes the need for simulation-based manufacturing processes—such as virtual testing and CAE simulations—to enable faster, data-driven decision-making early in the product development cycle, ultimately reducing cost and development time. Among the various stages in the paint shop, two of the most critical are: 1. Electro-dip coating (E-coating), also known as Electro-Deposition coating, which applies a corrosion-resistant primer to the Body-in-White (BIW). 2. Oven curing, which ensures the primer is properly bonded and cured for long-term protection and finish quality. To optimize these processes, a Dip-Drain-E-Coating simulation was developed using Siemens Simcenter STAR-CCM+. This simulation
Gundavarapu, V S Kumar, p, Vivekaanandan, Garg, Manish, Navelkar, Tanay, BS, Balachandran
UNIQUE HYBRID PANORAMIC HEADLINER CLIP WITH HIGH TOLERANCE TO REPLACE DUAL LOCK FASTENERS2026-26-02991/16/2026
Mounting strategies for vehicles with panoramic sunroofs remains a challenge owing to its high complexity to balance cost, performance and assembly efficiency. Achieving efficient and reliable headliner mounting solutions is one of the conundrums where cost optimization must go together with uncompromised performance. Traditional methods like Dual Lock Fasteners (DLFs), have set high benchmarks for robustness but at the cost of increased manufacturing complexity and expense. In pursuit of a more economical and production-friendly alternative, various plastic clip designs were explored. However, these solutions posed significant challenges during validation due to the stringent requirements for mounting feasibility, tolerance management, and long-term durability This paper introduces a novel hybrid plastic-metal clip solution that addresses those challenges comprehensively. The new design achieves precise tolerance control, ensuring reliable headliner installation under varying Body-in
D, GOWTHAM, Kumarasamy, Raj Ganesh, Shoeb, Mohd, Chauhan, Aarti
Effect of pipe bending by rotary tube bending process on durability of frame structure2026-26-03701/16/2026
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
Evaluation of Shear Trim Edge in HSLA Steel for Automotive Application2026-26-02861/16/2026
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
Simulating Performance of Adhesive-Bonded Joints for Automotive Applications2026-26-04151/16/2026
Adhesive joining techniques have rapidly gained momentum in the automotive industry over the past decade, offering several advantages over traditional joining methods. The complex design requirements of modern automobiles have increased the demand for intricately shaped components, where conventional spot/seam welding and mechanical fastening are often not feasible. Unlike spot and arc welding, adhesives do not degrade the properties of the substrate. Moreover, they enable the joining of components made from dissimilar materials, thus contributing to the overall weight reduction of assemblies. Adhesives also provide damping effects, reducing noise, vibration, and harshness (NVH), thereby contributing to a quieter and more comfortable ride. Additionally, adhesives enhance structural integrity by distributing stresses more uniformly across the joints. Consequently, understanding the simulation and failure prediction of adhesive joints has become essential. Traditional failure criteria
Parambathuvalappil, Rahul, Patil, Sanjay
Evaluating the Suitability of ADC12 for Sand Casting: Filling, Solidification, and Mechanical Properties2026-26-02961/16/2026
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 study on the thermal degradation of chlorinated Polyethylene rubber2026-26-02761/16/2026
Elastomeric materials are essential in advanced automotive engineering for mobility, isolation, damping, fluid transfer (cooling, steering, fuel, and brake), and sealing because of their unique physio mechanical properties. Elastomers are commonly used in both static and dynamic components, such as hoses, mounts, bushes, and tires. Engine emission standards and weight optimization have caused higher temperature exposure conditions for automotive components. The steering system uses special purpose elastomers like Chlorinated Polyethylene that can deteriorate under abnormal conditions during vehicle operation or manufacturing process due to the high temperature exposure. Therefore, it is crucial to comprehend the causes and consequences of thermal degradation of elastomers. Thermal degradation is a significant phenomenon that changes the physical and chemical properties of elastomers, which results in a product not meeting functional requirements. This study investigates the thermal
THIRUPPATHI, ANANDHI, Mishra, Nitish, Krishnamoorthy, Kunju
Optimizing Suspension Joint Reliability: Overcoming Bolt Loosening and Torque Variability in Automotive Production2026-26-04921/16/2026
In modern automotive manufacturing, ensuring the integrity of suspension joints under real-world driving conditions is a critical aspect of vehicle safety and performance. These joints endure substantial transverse loads and large vibrations due to irregular road surfaces, dynamic manoeuvres, and varying environmental factors. As a result, bolt loosening becomes a significant concern, compromising joint integrity and overall vehicle reliability. This paper delves into the challenges associated with maintaining joint integrity, specifically focusing on pre-load determination, torque application, and production-related issues. The pre-load generated during torquing is the primary factor that ensures a suspension joint remains securely fastened under dynamic road conditions. This pre-load is derived using road load data acquisition (RLDA) inputs, which capture the forces acting on the joint during actual driving scenarios. RLDA inputs provide critical insights into the forces experienced
Kumar, Sabeesh, Vasant Kumar, Jesse Daniel, Mishra, Harshit, Senthil Raja, T, NAYAK, Bhargav, M, Sudhan, NAMANI, Prasad, Vibhute, Shekhar
A numerical approach to optimize the flow characteristics for the enhancement of casting soundness of Al 6061 alloy die-casting2026-26-02841/16/2026
The optimization of flow characteristics such as filling time, flow velocity, viscosity and temperature play a vital role in the die-casting to enhance the casting soundness. Experimental trial and error methods for optimizing the flow characteristics of mold filling are costlier and time-consuming methods. A digital approach could significantly minimize the cost and time for the prediction of the flow characteristics of the casting. Z-Cast Pro is the casting simulation software used for simulating the whole casting process such as filling, solidification etc. This software basically utilizes the finite difference and finite volume approximation techniques to numerically unravel the molten metal flow and solidification equations. In this study, A 3D model of the valve housing is used to analyze the mold-filling behavior through high and low-speed plunger movement of the molten Al 6061 alloy using Z-Cast Pro software version 24. Higher-speed plunger movement required a total mold
Choudhary, Chandan, Subramaniam, Anand, Karle, Manish, Karle, Ujjwala
Incorporation of strain hardening and sheet thinning effects during forming process for an accurate prediction of buckling loads on sheet metal axle parts2026-26-03911/16/2026
In this competitive automotive world, shorter development time and quicker time to market for new models are vital to product success. This can be achieved by digitalization, thereby avoiding over-design of parts and the need for physical prototypes, resulting in cutting down on material and development efforts respectively. In this study, the deviation of load carrying capacity of chassis sheet metal axle links in comparison with hardware testing and simulation results were investigated. A multi-step forming simulation is carried out, which involves simulating all stages of the forming process to accurately predict the plastic strains leading to material strain hardening and thickness distribution leading to thinning. The forming simulation is performed using the anisotropic material model Banabic-Barlat-Comsa (BBC) to capture the anisotropy effects. This model uses several coefficients to precisely characterize the yield surfaces, considering both uniaxial and biaxial yield stresses
R B, Govind, Selvaraj, Nirmal Velgin
Enhancing Factory Modelling: Integrating Drone Technology and Automated Post Processing Systems2026-26-03071/16/2026
The growing environmental, economic, and social challenges have spurred a demand for cleaner mobility solutions. In response to the transformative changes in the automotive sector, manufacturers must prioritize digital validation of products, manufacturing processes, and tools prior to mass production. This ensures efficiency, accuracy, and cost-effectiveness. By utilizing 3D modeling of factory layouts, factory planners can digitally validate production line changes, substantially reducing costs when introducing new products. One key innovation involves creating 3D models using point cloud data from factory scans. Traditional factory scanning processes face limitations like blind spots and periodic scanning intervals. This research proposes using drones equipped with LiDAR (Light Detection and Ranging) technology for 3D scanning, enabling real-time mapping, autonomous operation, and efficient data collection. Drones can navigate complex areas, access small spaces, and optimize factory
Narad, Akshay Maruti, C H, Ajheyasimha, Vijayasekaran, Vinothkumar, FASGE, ABHISHEK
CAE driven seam weld optimization for stiffness and fatigue calculations2026-26-04781/16/2026
Structural parts are joined using seam welds, spot welds and bolted connections. The strength and stiffness of any structural part are strongly influenced by the properties of their joints. Seam welds are used extensively in the automotive industry to join panels. The design and the positioning of the seam welds have a significant impact on the technical cost of the project. In the automotive industry, structural optimization and fatigue simulation have become standard applications during any development process. The conventional approach in identifying the position and number of seam welds and its length is time consuming and leads to over design. Current paper highlights developing a simulation process for seam weld optimization in identifying the optimal position and length of seam welds. The optimization workflow is set up in CAE with design objective of minimizing the number of seam welds and finding the optimal length by meeting stiffness targets and fatigue life of seam welds
Gudipati, Raja Shekar Reddy
Optimization of the Rodip CED Process Suitability through Strategic Fixture System for Enhanced Hood Gap and Flushness Control in Automotive Manufacturing2026-26-04861/16/2026
The Ro-dip Cathodic Electrodeposition (CED) process is latest technology used by Automotive Manufacturers for higher quality corrosion protection in new generation Automobiles. This process involves multiple 360-degree rotation of automotive body in white (BIW) which exert higher hydrostatic forces on large surface panels like Hood. For maintaining consistent gaps & flushness control at vehicle level, it is important to safeguard the dimensional stability of light weight (crash performance sensitive) steel Hood panel while undergoing through this CED process. This study investigates the enhancement of hood panel alignment through strategic optimization of support rod placement and quantity within the Ro-dip CED system. By conducting experimental trials and computational simulations, the research identifies critical deformation points and evaluates the impact of varying support rod configurations on dimensional stability. The outcome results demonstrate that positioning support rods at
Tile, Vikrant, Unadkat, Siddharth, ASKARI, HASAN, Jadhav, Devidas
Connected Traffic Warnings for Enhanced Commercial Trucking Safety2026-26-06801/16/2026
Commercial trucking forms the backbone of global supply chains, but the consistently high number of truck-related fatalities emphasises the pressing need for enhanced safety systems. Connected safety systems present a significant opportunity to mitigate risks and prevent collisions by providing commercial vehicle operators with real-time hazard alerts. This paper delves into the operational mechanisms and potential benefits of such warning systems within the trucking industry. These systems function by establishing a network of connected vehicles capable of detecting and communicating hazardous situations through a centralised, cloud-based platform. By seamlessly integrating real-time telemetry data from individual trucks with information sourced from third-party providers, weather services, the system gains an understanding of prevailing road conditions. This allows for the identification of potential dangers such as traffic accidents, ongoing road construction or maintenance
Madarla, Manoj, George, Basil, Gangapuram, Siva, Hegde, Subrahmanya, Mukherjee, Shubhobroto, Dixith, Sampreetha, Hegde, Preetham
AI-Driven Predictive Methodology for Bolt Integrity in Vehicle Durability Testing2026-26-06481/16/2026
The application of AI/ML techniques to predict truck tailgate bolt loosening represents a major innovation for the automotive industry, aligning with the principles of Industry 4.0. Traditional physical testing methods are both expensive and time-consuming, often identifying issues late in the development process and necessitating costly design changes and prototype builds. By harnessing AI/ML, manufacturers can now analyze tailgate slam and bolt preload data to accurately forecast potential bolt loosening issues. This predictive capability not only enhances quality and safety standards but also significantly reduces the costs associated with tooling and builds. The AI/ML tool described in this paper can simulate a variety of load conditions and predict bolt loosening with over 90% accuracy, considering factors such as changes in loads, bolt diameters, washer sizes, and unexpected masses added to the tailgate. It provides valuable design insights, such as recommending optimal bolt
Sivakrishna, Masani, Das, Mahat, Singh, Abhinav, karra, Manasa, Shienh, Gurpreet, Luebke, Amy
Advanced Defect Detection Techniques Using AI, CAD Data, and Computer Vision2026-26-06441/16/2026
In area of modern manufacturing, ensuring product quality and minimizing defects are utmost important for maintaining competitive advantage and customer satisfaction. This paper presents an innovative approach to detect defect by leveraging Artificial Intelligence (AI) models trained using Computer-Aided Design (CAD) data. Traditional defect detection methods often rely on physical inspection, which can be time-consuming and prone to human error. The conventional method of developing an AI model requires a physical part data , By utilizing CAD data, the time to develop an AI model and implementing it to production line station can be saved drastically . This approach involves the use of AI algorithms trained on CAD models to detect and classify defects in real-time. The field trial results demonstrate the effectiveness of this approach in various industrial applications, highlighting its potential to revolutionize defect detection in manufacturing.
Kulkarni, Prasad Ramesh, Sahu, Dilip, Joshi, Chandrashekhar, Khatavkar, Akshay, Poddar, Shivani, Deep, Amar
Predictive Analysis and Risk Management of Nickel-Plated Aluminum Automotive Parts Exposed to Harsh Environmental Conditions2026-26-03051/16/2026
Aluminium is widely used across various industries due to its lightweight properties, high strength-to-weight ratio, and cost-effectiveness. However, its susceptibility to corrosion, particularly in harsh environmental conditions, presents challenges to its long-term durability and performance. To mitigate these issues, nickel plating was applied as a protective measure, creating a barrier to minimize aluminums' direct exposure to corrosive environments and enhance its resistance to degradation. In this study, nickel-plated aluminum was subjected to controlled corrosion testing under simulated real-world conditions, including high humidity, saline atmospheres, and industrial pollutants. The primary objective was to evaluate the effectiveness and longevity of nickel plating as a corrosion prevention method. Periodic observations and measurements were conducted to monitor material changes, such as surface degradation and corrosion product formation. The findings highlight the critical
NARAIN, ADITYA, Venugopal, Sivakumar, Gopalan, Vijaysankar, Varatharajan, Senthilkumaran
Hydrogen Embrittlement in Galvanized High Carbon Steel Components of Automotive Seat Slider Assembly2026-26-03021/16/2026
This research paper investigates the failure of an isolator clip used in the seat slider assembly, which guides and restricts the sliding motion of the tooth bracket within the seat. The component is made of C80 high-carbon spring steel, known for its high strength. According to the manufacturing process details, zinc plating was applied to the component for corrosion protection, as confirmed by EDS analysis. A fractographic examination of the failed part revealed a brittle, intergranular fracture morphology with visible cracks. Certain areas also exhibited micro-void coalescence, indicating a dimpled fracture surface. The primary failure mode was intergranular (IG) fracture. The delayed fracture was attributed to intergranular fracture mechanisms, micro-void coalescence, and the high strength of the steel, which made the component susceptible to hydrogen embrittlement. Hydrogen embrittlement occurs when hydrogen atoms become trapped along the grain boundaries, where they form hydrogen
Saindane, Mehul Kishor, BALI, SHIRISH
Data analytics methodology for vehicle quality complaint analysis2026-26-06541/16/2026
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
Tailgate Stiffness Mitigation and Engineering Strategy for Y-to-Y Tailgate-Mounted Tail Lamp Integration2026-26-04941/16/2026
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
Packaging the HPTS Airbag in a Second-row bench seat2026-26-00331/16/2026
Seats of modern cars should necessarily meet the regulatory safety norms along with aesthetics and comfort. In the existing passenger cars prevailing across the Indian subcontinent, the measure of safety has been a challenging one. The stringent regulatory norms thereby make the Airbag very promising. In the domain of automotive safety, certain features hold exceptional importance, with airbags taking a forefront position. Their fundamental objective is to provide an advanced level of safety for both the driver and passengers in the unfortunate event of a collision. This is accomplished through the automatic deployment of an inflatable airbag, engineered to swiftly respond during a crash and furnish the necessary sophisticated cushioning to enhance overall passenger safety. The technology has been practiced widely upon a many vehicles seat. However, the present work highlights a novel approach of packaging the HPTS air bag in second row seat. This Air bag unit is fitted in the seat
Buradkar, Rajat Ramkrishna, BOSE, KARTHIK, JADHAV, DEEPIKA, Balakrishnan, Gangadharan
Early prediction of relaxation voltage & detection of state of battery for functional safety2026-26-01661/16/2026
During parking condition of vehicle, state of the battery is uncertain as it goes through the relaxation process. In such scenarios the battery voltage may exceed the functional safety limits. If we cross the functional safety limits it is hazardous to the driver as well as the occupant. In this case relaxed voltage plays a crucial role in identifying the safe state of the battery. To estimate the relaxed cell voltage there are methods such as RC filter time constat modeling and relaxation voltage error method. The problem with these solutions is the waiting time and accuracy to determine the relaxation voltage. In this manuscript a solution is proposed which ensures the above problem gets reduced. To achieve the reduction of relaxation voltage estimation time, a python sparse identification of nonlinear dynamics (PySindy) is used which identifies and fits an equation model based on observing the battery characteristics at different SOC and temperatures. The implementation is done and
Pandey, Priyanshu, Nilajkar, Ankur, Panda, Abinash
Advancing Welding Excellence through Numerical Simulation Based Approach: A Multi Pass Welding Case Study on Cast Iron Coupons2026-26-04571/16/2026
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
Hypoid Gear Performance Redefined: Addressing Scoring and Whine Noise Concerns2026-26-00781/16/2026
Rear drive vehicles transfer power to the rear wheels through the Gear Carrier Assembly, which is fit at the central section of the Rear Axle. The Gear Carrier Assembly includes hypoid ring and pinion gears, set at the heart of the system. However, gear scoring and whine noise frequently emerge as critical challenges, leading to reduced durability and compromised performance of the vehicle. This study focuses on the design and process improvements aimed at addressing these concerns while enhancing the overall performance and reliability of hypoid gears. Design enhancements include macro geometry refinements, material upgrades, and modifications in the heat treatment process. These changes improved key mechanical properties such as contact stress, bending strength, impact strength, and motion transmission error (MTE). Process optimizations involved precise control over carburizing, hardening, and quenching temperatures, as well as adjustments in quenching pressure. These measures
Praveen, Abhinav, Deshpande, Praveen, Jain, Saurabh Kumar, Parmar, Mayur, Karle, Nilesh, Kanagaraj, Pothiraj, Pagar, Pawan
Comprehensive evaluation and development of a single cylinder engine vehicle for refinement of NVH characteristics2026-26-03081/16/2026
The scale of worldwide population presents its own set of difficulties, especially in densely populated cities. Almost every individual has some form of personal transport, which leads to congestion and limited parking space. Automotive manufacturers are scaling down the size of vehicles to resolve these issues to some extent. This paper is based on the NVH development of a single-cylinder diesel engine vehicle. It provides an insight into the comprehensive vehicle level NVH refinement approaches adopted. The NVH characteristics of the benchmark two-cylinder diesel and baseline vehicle were measured and analyzed for target setting. The performance of each subsystem, such as engine mounting, vehicle structure, intake and exhaust, was evaluated, and gap analysis was performed against set targets. It was found that the engine mounting system and vehicle structure were inefficient in isolating the excitation forces. The design and location of the mounting system was evaluated using CAE and
Ghale, Guruprasad Chandrashekhar, Baviskar, Shreyas, Bendre, Parag, Kamble, Pranit, Bhangare, Amit, THAKUR, SUNIL, Kunde, Sagar, Wagh, Sachin
Wireless Mobile charger Packaging in Pecuilar Rear Door Trim Profile.2026-26-02701/16/2026
Abstract A mobile wireless charger is a device that charge a smartphone or other compatible gadgets without the need for physical cables. Principle of wireless mobile charger system based on inductive coupling phenomena. The main objective of this paper aims to address the challenge of packaging wireless mobile charger in peculiar door trim profile keeping overall functionality and aesthetic appearance of door trim intact. This paper deals with integration of a wireless charging system within the door trim of a vehicle to provide convenience and advanced functionality. The objective is to pack a wireless charger in door trim meeting the ergonomic target and equilibrium state stability while maintaining sleek and minimalist design of the door trim. The study focuses on innovative packaging solutions related to space optimization in door despite multiple challenges involved. Major challenge lies in packing the unit amidst complex mechanisms such as window regulators, speakers, structural
palyal, Nikita, D, GOWTHAM, BHASKARARAO, PATHIVADA, Kumarasamy, Raj Ganesh, bornare, harshad
Vehicle interior material emissions and contributions in passenger vehicle cabin air quality2026-26-02871/16/2026
Polymer compounds used in the manufacturing of automotive interiors are formulated with various kind of additives, pigments, fillers, and resins. These compounded polymers are prone to the emission of chemicals called volatile organic compound (VOC) over a period of usage, temperature exposure etc. VOCs include a variety of chemicals, some of which may have short term adverse health effects like nausea, headache, vomiting, and long-term adverse health effects like cancer, even death if beyond the permissible limits. Studies indicates the concentrations of many VOCs are consistently higher in indoors (up to ten times higher) than outdoors and hence these chemical emissions are required to be controlled within the defined limits. This paper is focused on the identification part and material, evaluation against the recommended test (Odor/Fogging/VOC/Carbonyl compound emissions) and development of materials used inside the car cabin. This study further provides the guidelines for the
Shukla, Sandeep Kumar
A Machine Learning Approach to Early-Stage Failure Prediction in Traction Motor Manufacturing2026-26-02811/16/2026
Traction motors technology has, driving the EV industry forward with more efficient, lightweight, and durable solutions. However, despite these advancements, noise testing at the end of the production line remains a critical stage for identifying manufacturing defects in traction motors. Hence early fault detection in traction motors is crucial to ensure safety and reliability of EV. This research contributes a solution that predicts early-fault detection, supporting improved reliability, reduced material cost and minimizing process time in the series production line. To identify the root cause of this problem, historical quality data has been acquired from manufacturing plants to enable efficient analysis. Feature selection was then carried out using embedded and wrapper methods to identify the most important features. These selected features were subsequently used as input for ML models. The best accuracy was achieved using SVC model for early-stage motor failure prediction.
Gaikwad, Pooja, Nangare, Kapilraj, Suryawanshi, Chaitanya
Considerations for Vulnerability Management in the Automotive Industry2026-26-06261/16/2026
With the emergence of Software-Defined Vehicles (SDVs), more complex software and connectivity technologies are introduced to support new advanced use cases. These use cases include, e.g., phone as a key, smart parking, summon vehicle, remote diagnostics and vehicle management. However, complex software functionality and external connectivity also increase the attack surface of vehicles and its ecosystem. As such we have seen various cybersecurity attacks targeting vehicles and OEM backends in the past few years. In this paper, we first perform a classification of recent automotive cybersecurity attacks. We further perform an analysis of these attacks and associated vulnerabilities considering the application of best practices of vulnerability management approaches including Common Vulnerability Scoring System (CVSS), Exploit Prediction Scoring System (EPSS), and Stakeholder-Specific Vulnerability Categorization (SSVC). CVSS is a standardized framework used to assign severity scores to
Oka, Dennis Kengo, Vadamalu, Raja Sangili
Analysis and Optimization of Stick-Slip Behaviour in Metal-Plastic Interfaces for Connected Tail Lamp Assemblies in Electric Vehicles2026-26-03321/16/2026
The seamless and sleek design of connected tail lamps adds a visually striking element to the car's exterior. It aligns with contemporary automotive trends and gives the vehicle a premium and futuristic appearance. Automakers use these lamps as a design signature to establish brand identity. Connected tail lamps improve visibility for drivers behind the vehicle. The assembly of connected tail lamps can pose several challenges, especially due to their complex design and integration requirements. Metal-plastic creak is a common concern in electric vehicles (EVs), often noticeable when driving on uneven roads. This primarily results from stick-slip behaviour at the interface of metal and plastic components, intensified by improper alignment. When the designed geometric dimensioning and tolerancing (GD&T) is not met in real manufacturing conditions, misalignment introduces unintended contact forces, leading to intermittent micro-sliding and frictional energy release, which manifests as an
MICHAEL STEPHAN, NAVIN ESTAC RAJA, C M, MITHUN, Mohammed, Riyazuddin
Transforming Gear Manufacturing_ A Deep Learning Approach to Quality Prediction2026-26-06461/16/2026
The automotive industry is rapidly transitioning towards Industry 4.0, transforming vehicle manufacturing. To achieve a lower carbon footprint, it is crucial to minimize raw material wastage and energy consumption. Reducing component wastage, lead time, and automating gear manufacturing are key areas. Gear micro-geometry inspection is vital, as variations affect service life and NVH (Noise, Vibration, Harshness). Despite standards for permissible errors, manual evaluation is often needed.This subjective evaluation approach will have a possibility that a gear with undesired variations gets assembled into the product. These issues can be detected during NVH testing, leading to replacement of part and re-assembly thus increasing lead time. This generates a need for an automated system which could reduce the human intervention and perform the activity. This paper discusses methodologies to meet these requirements and achieve desired results. The research aims to develop a deep learning
Ramakrishnan, Gowtham Raj, Baheti, Palash, PR, Vaidyanathan, Durgude, Ranjit, Bathla, Archana, R, Greeshmita, V, Rangarajan
A Dynamic Cybersecurity Benchmarking Framework for Automotive Cyber-Physical Systems2026-26-06121/16/2026
As the automotive industry accelerates towards greater connectivity and automation, ensuring robust cybersecurity has become a critical priority, especially in emerging markets like India. This paper introduces a comprehensive framework designed to assess and enhance the cybersecurity of production-ready vehicles, with a particular focus on addressing the unique challenges posed by both domestic and international markets. The proposed system combines advanced threat modeling, vulnerability assessment, and dynamic evaluation techniques to continuously monitor and quantify a vehicle’s cybersecurity posture throughout its lifecycle. In the Indian context, where the automotive market is rapidly evolving and the adoption of connected and automated vehicles is on the rise, the need for tailored cybersecurity measures is particularly pressing. By evaluating the impact of cyber threats on safety, data privacy, financial risks, and vehicle functionality, the system generates a detailed
Shah, Ravindra, Awasthi, Vibhu Vaibhav, Karle, Ujjwala
Automotive Cybersecurity Regulatory Framework2026-26-06251/16/2026
During the last few years, cybersecurity has become one of the key aspects in the automotive industry to ensure the safety and security of vehicles throughout their lifecycle. The implementation of new technologies and the goal of deploying fully automated vehicles in the not-so-distant future have created new needs regarding vehicle safety. As the automotive industry shifts toward automated and connected vehicles, the possibility of cyberattacks emerges as a significant concern. To address these challenges, different regulatory bodies and governments worldwide have developed or are developing a new set of regulations and standards with varying approaches to legislate or standardize the minimum criteria that manufacturers must follow to ensure security against potential attacks, adding requirements to ensure the cybersecurity of the vehicles at all levels. At the United Nations level, UN Regulation 155 was introduced in 2021, establishing requirements for manufacturers' cybersecurity
Flix, Oriol, Lujan Tutusaus, Carlos, Hidalgo, Justin
Comparative Analysis of Charger Identification Methods in Electric Truck Routing Algorithms2026-26-02061/16/2026
Optimizing Vehicle Routing is a key application for determining the most effective sequence of locations in electric trucks. This optimization not only enhances operational efficiency but also minimizes energy consumption and reduces overall costs. A critical aspect of Optimal Vehicle Routing is identifying charging stations along the route, particularly for electric vehicles with specific range requirements. The availability of these charging stations are crucial for maintaining the continuity of operations and preventing delays. This paper explores multiple methods for charger identification, simulating and comparing their effectiveness. The primary parameter for comparison is the execution time of the algorithm, which directly impacts the feasibility of real-time applications in logistics. The results of this study provide insights into the efficiency of different charger identification methods within the Optimal Vehicle Routing framework. By analysing execution times, the paper
Bhat, Adithya, Prasad P, Shilpa, Kolakar, Rakshita, Myers, Michael, Klein, Fischer, Shrivastava, Himanshu
Road noise improvement of a passenger vehicle through end-to-end CAE-Simulation using Transfer Path Analysis (TPA) approach2026-26-04311/16/2026
Refined NVH performance of a vehicle is a mark of premium quality. Achieving the desired NVH performance in different vehicle operating conditions is always a Herculean task and early stage “CAE design recommendations” play crucial role in overall vehicle design development. This becomes tougher when the program is very much cost, weight and timeline sensitive. This paper explores simulation approach for addressing a major noise issue for a vehicle running at a constant speed on a rough road. The first and the most critical step is to identify the exact root cause of the issue. Hence, we propose a detailed full vehicle level “contribution analysis (CA) + transfer path analysis (TPA)” methodology (everything done through the simulation) and then go for the design recommendations to improve the performance. We used road excitation power spectral density (PSD) as the input at all the four wheels (spindle locations) calculated through MBD software. The first step i.e. contribution analysis
Mahajani, Mihir, Nascimento, Fabio, ADINARAYANA REDDY, KODIDELA, Matyal, Mahantesh, Tenagi, Irappa, Sardar, Chenna
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
Advancing Circular Economy in India's Automotive Sector: Challenges and Sustainable Solutions2026-26-02381/16/2026
This research examines the fundamental principles of the Circular Economy in relation to the automotive industry in India, a sector that plays a vital role in the country's economy. However, it also presents significant challenges concerning energy consumption and environmental impact. The circular economy framework offers a transformative approach throughout a vehicle’s lifecycle, guiding the automotive industry toward a more sustainable transportation system. One of the key strategies defined by the global automotive commission for decarbonizing this sector involves increasing the recycled plastic content in vehicles to 20-25% by 2030. This target necessitates the recovery of plastics from end-of-life vehicles, though these materials are rarely integrated into compounds today. The automotive industry's reliance on plastics has grown substantially due to their lightweight properties, which enhance fuel efficiency, reduce CO₂ emissions, and improve versatility and mechanical
Kumar, Vijay Bhooshan
Transforming Manufacturing: Increasing Throughput and Reducing production Complexity with Digital Twins2026-26-04491/16/2026
In traditional manufacturing, increasing production line capacity often involves physical trials, leading to downtime, high costs, and operational risks. This paper presents a bidirectional digital twin developed for the Fischertechnik Smart Factory Kit, enabling real-time simulation and validation of production line modifications before actual deployment. The digital twin integrates with a Siemens PLC to mirror real-world operations, capturing live production data and visualizing key parameters like cycle time and machine utilization in a 3D environment. Engineers can test various optimization scenarios adjusting conveyor speeds, optimizing robot paths, and modifying buffer sizes to enhance efficiency. The best-performing configurations are identified based on throughput, cycle time, and resource utilization, and validated changes are automatically deployed to the PLC, ensuring seamless implementation. Beyond capacity optimization, this solution improves overall production efficiency
Kumar, Rahul, Singh, Randhir
Balancing global and local formability properties through Nb microalloying2026-26-03031/16/2026
David Martin, CBMM Asia Bernardo Barile, CBMM Europe BV Caio Pisano, CBMM Europe BV Automotive high strength steels have specific microstructure-dependent forming characteristics. Global formability is generally associated with high uniform strain values which imply good drawability and stretch forming properties driven by pronounced work hardening. Local formability on the other hand is often measured by various fracture strain values—generally higher in single phase steels. In this respect, the so-called ‘local/global formability map’ concept has been established not only to provide a comprehensive methodology to characterize existing automotive steels but also to enable improvement strategies toward more balanced forming characteristics. Niobium (Nb) microalloying is a powerful tool to achieve both property improvement in general and property balance in particular. More than two decades of research has demonstrated that Nb-induced microstructural optimization is applicable to HSLA
Barile, Bernardo
Simulation driven design of robust Crank-train systems for elevated In-cylinder combustion pressure2026-26-04001/16/2026
The need for increased in-cylinder pressure to meet the higher engine rating and stringent emissions norms requires special attention on the Main moving components torsional behaviour and the bearing performance. The work presented in this paper utilizes the 1D and 3D simulation potential of AVL EXCITE for the assessment of design changes required in Crank-Train system for the increased in-cylinder pressure from 170bar to 220bar. The key feature of the executed work was that all the design changes were accommodated with minimal changes in packaging / layout interfaces. The given work was executed on 6-Cylinder Turbocharged In-cylinder with Type V valve-train configurations. Initial brain storming & 0d calculation helped in understanding the design optimization required in each and every crank-train parts. Considering the guidelines available in terms of L/d ratio for the bearing, connecting rod length, the overall linkage specification was set up for starting with design work for
Khandelwal, Meha
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