Browse Topic: Materials properties

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Galvanic Corrosion Susceptibility Analysis and Mitigation strategies in Automotive Battery Packs2026-28-0018To be published on 02/12/2026
As electric vehicles continue to revolutionize transportation, ensuring the reliability of their powertrain systems and battery packs has become a critical focus. One key challenge is galvanic corrosion, which occurs when dissimilar metals in contact are exposed to an electrolyte, such as seashore moisture or road salt used in snow or ice zones. This corrosion can weaken structural components, compromise electrical conductivity, and reduce the lifespan of critical systems. Common areas at risk include metallic joints within battery enclosures, busbars, cooling systems, and electrical connectors. Environmental factors such as high humidity and temperature fluctuations further amplify the issue, making it a pressing concern for manufacturers. This paper aims to systematically identify critical galvanic joints within electric powertrain systems and battery packs and provide effective strategies to mitigate corrosion risks. Preventative measures include choosing compatible materials with
NARAIN, ADITYA, Venugopal, Sivakumar, Gopalan, Vijaysankar, Varatharajan, Senthilkumaran
Sustainable Machining of Aluminium Alloys: Experimental Insights into WEDM Process Optimization2026-28-0034To be published on 02/12/2026
The most advanced mathematics transforms aluminum alloys into one of the most highly intricate materials into practically any engineering application based on the mechanical properties of ductility and low fatigue sensitivity. The use of aluminum alloys permeates critical industries like aerospace and automotive, besides being strong contenders in other high-performance applications. Their inherent corrosion resistance certainly gives an edge to aluminum alloys for applications in rigorous service environments. Conventional manufacturing processes would not successfully create components with some geometrical complexity; hence, advanced machining processes are being developed. Among them is Wire Electrical Discharge Machining (WEDM), which is increasingly being adopted within the EDM family, as it efficiently machines hard and complex shapes at high accuracy. The present investigation deals with WEDM of aluminum alloy using Taguchi's design of experiments approach, while focusing on
Natarajan, Manikandan
Evolution of a Novel Hybrid Stab-Link for a Born Electric Sports Utility Vehicle2026-28-0001To be published on 02/12/2026
The present study details the design evolution and failure analysis of a novel hybrid stabilizer bar link (stab link) developed for the front suspension of a born electric sports utility vehicle (SUV) platform characterized by higher gross vehicle weight (GVW), increased wheel travel, and constrained packaging space. To address these challenges, a unique hybrid stab link was designed featuring dual plastic housings at both the metal ball joint ends, connected by a steel tube, and achieving a 30% weight reduction while offering enhanced articulation angles for extremely lower turning circle diameter (TCD) of the vehicle, compared to the conventional stab link. The unique hybrid stab failed under complex loading conditions during accelerated durability testing (ADT), prompting a comprehensive investigation. The failure analysis included road load data acquisition across various stab bar diameter configurations evolved during suspension tuning, different stabilizer link designs evolved
SELVENDIRAN, P, J, Ramkumar, NAYAK, Bhargav, M, Sudhan, Patnala, Avinash
Experimental and Predictive Study on WEDM of Aluminium Alloys Using Taguchi and ANFIS2026-28-0040To be published on 02/12/2026
The attributes of aluminium alloys are acknowledged in the varied usage of these alloys because they have excellent mechanical properties and good ductility while being less vulnerable to fatigue. These alloys are widely applied in engineering disciplines. The aerospace and automotive industries are important industries using these alloys, and many other progressive engineering applications continue to embrace the use of these alloys. Their resistance to corrosion makes them even better suited for usage in some harsh environments. Unfortunately, producing parts with very complicated geometries through conventional machining techniques is still a challenge. To try to solve this limitation, there have been several advanced machining processes. Among them is Wire Electrical Discharge Machining (WEDM) - a specific form of Electrical Discharge Machining (EDM) for an effective solution for complex and hard-to-machine components. In this study, efforts have been made to study the WEDM process
Natarajan, Manikandan
Selection and Optimization of Process Parameters in Wire Arc Additive Manufacturing for Automotive Structural Applications2026-28-0039To be published on 02/12/2026
Wire Arc Additive Manufacturing (WAAM) has emerged as a promising technology for fabricating large, complex metal structures with reduced material wastage and improved design flexibility. In the automotive sector, WAAM offers significant potential for producing lightweight and high-strength components, particularly for structural applications. However, the quality and performance of WAAM-fabricated parts are highly dependent on the careful selection and optimization of process parameters such as wire feed rate, travel speed, arc voltage, current, and inter-pass temperature. This review focuses on the systematic evaluation of key process parameters influencing the mechanical properties, surface integrity, dimensional accuracy, and microstructural characteristics of WAAM-produced structures intended for automotive applications. The study also explores various optimization techniques—such as Taguchi, response surface methodology (RSM), and artificial intelligence (AI)-based approaches
V, Aravind
Modelling and Analysis of Complex Shaped Cracks2026-28-0048To be published on 02/12/2026
This study offers a thorough analysis using finite element methods (FEA) to examine how fatigue cracks grow in three different materials: Structural steel , Titanium alloy (Ti Grade 2), and epoxy/aramid-based printed circuit board (PCB) laminates. Using ANSYS Workbench, we ran simulations under both static and repeated loading to understand how these materials fracture. The approach was based on Linear Elastic Fracture Mechanics (LEFM), employing the Maximum Circumferential Stress Criterion to predict where cracks might start and how they could spread. Also, the Equivalent Domain Integral (EDI) method helped us calculate the Stress Intensity Factors (SIFs) when cracks are under mixed loading modes. We modeled the growth of fatigue cracks using the Paris Law, relying on material-specific constants (C and m) drawn from previous studies and experimental tests. For example, titanium Grade 2 showed Paris Law constants with C values between 1.8 × 10⁻¹⁰ and 7.9 × 10⁻¹² m/cycle, and m values
T, LOKESH, Bhaskara Rao, Lokavarapu
Effect of Shot Peening on the Fatigue Life of Polylactic Acid Parts in Automobiles2026-28-0032To be published on 02/12/2026
Polylactic Acid (PLA), is a biodegradable thermoplastic and most widely used materials in automobiles also inherent fatigue performance limitations and its deployment in demanding load-bearing automobile applications. Shot peening, a well-established surface treatment known to significantly enhance the fatigue life of metallic materials, presents a potential post-processing strategy to improve the durability of polymers. The proposed work investigation into the effects of controlled shot peening pressure on the various behavior of injection molded PLA specimens. The outlined methodology encompasses the fabrication of PLA samples conforming to ASTM standards, the application of shot peening using precisely defined parameters, comprehensive characterization of the resulting surface modifications (including roughness, hardness, morphology, and systematic uniaxial fatigue testing according to ASTM D7791. Fatigue tests will generate fatigue behavior and fatigue life (by varying number of
Ranganathan, Soundararajan
Design and Fabrication with Validation of a Smart Adaptive Anti-Roll Bar System for Enhanced Stability in Electric Vehicles2026-28-0029To be published on 02/12/2026
This project presents the design and characterisation of high-performance automobile anti-roll bars from the metal matrix composite of AA6082 aluminium alloy reinforced by 5 wt% Boron carbide (B4C), 10 wt% Fly ash, and 10 wt% Silicon carbide (SiC), prepared by stir casting for optimum particle dispersion. Mechanical characterisation revealed 22% greater ultimate tensile strength to 415 MPa, 31% greater hardness to 132 HB, and 27% greater fatigue life than the unreinforced AA6082, with only moderate lower density from fly ash addition. Finite Element Analysis in SolidWorks also confirmed the reinforced anti-roll bar to demonstrate 11% lower maximum Von Mises stress and 14% lower equivalent strain in simulated cornering loads, indicating greater durability and deformation resistance. Optical microscopy also confirmed homogeneous reinforcement particle dispersion and optimum grain refinement for greater grain refinement and wear resistance. These results demonstrate the technical promise
Deepan Kumar, Sadhasivam, S, Manikandan
Effect of Sebastiana rostrata Fiber Loading on the Tribological Behaviour of Polycaprolactone Biocomposite.2026-28-0021To be published on 02/12/2026
This study investigates the tribological performance of Sesbania rostrata fibers (SRFs) reinforced polycaprolactone (PCL) composites, focusing on the effects of fiber loading under varying normal loads. Composite samples with fiber contents of 10%, 20%, and 30% were tested at sliding velocities of 0.5 m/s and a fixed sliding distance of 500 m. Results show that the inclusion of SRFs significantly reduces the coefficient of friction (COF) and specific wear rate (SWR) compared to neat PCL, particularly at fiber loadings up to 20%. Beyond this threshold, fiber agglomeration leads to increased wear. The results highlight the potential of SRF/PCL composites for use in wear-critical automotive and orthopedic applications due to improved load-bearing capability and surface resistance.
Raja, K., Senthil Kumar, M.S.
Influence of Copper oxide and Graphite additives on the lubrication performance of the engine oil2026-28-0017To be published on 02/12/2026
The parts of engine move at high speeds under heavy pressure. This leads to high temperatures and wear. To reduce the rate of wear, lubricants are used. But the lubricants are pollutants and increasing their useful life will result in the reduction of pollution. Additives may help in increasing the useful life of a lubricant. In the present study, the effect of the addition of cupric oxide and graphite nanoparticles to the engine oil on its performance of lubrication using pin on disc tribometer. AA2014 – 5 wt.% TiC composite material sliding against steel surface with lubricant was used to quantify the performance of additives. The base lubricant used in this study was 5W30 grade engine oil. Two types of lubricants, engine oil with 2 wt.% copper oxide (CuO) and engine oil with 2 wt.% Graphite (Gr) were tested and compared with the performance of the base oil in similar conditions. Adding Gr particles to the oil reduced the wear rate of sample by nearly 40% while CuO particles reduced
Ch, Sri Chaitanya, Mutyala, Venkata Ramarao, PONNAGANTI, Gopinadh Chowdary, Rajamalla PhD, Narasimha Rao, Bachugudem, Arun Kumar, Abdul Azeez, Mohammed, Kumar, Mohan
EXPERIMENTAL ANALYSIS AND SIMULATION STUDY OF AN AUTOMOBILE RADIATOR WITH NANOFLUIDS2026-28-0020To be published on 02/12/2026
A nanofluid is the suspension of nanoparticles in a base fluid. Nanofluids are promising fluids for heat transfer enhancement due to their anomalously high thermal conductivity. The thermal conductivity enhancement mechanisms of nanofluids have not been fully understood yet. In the first part of this study, a detailed literature review about the thermal conductivity of nanofluids is performed. Experimental studies are discussed in terms of the effects of some parameters such as particle volume fraction, particle size, and temperature on the thermal conductivity of nanofluids. Enhancement mechanisms proposed to explain nanofluid thermal conductivity are also summarized. Research about the forced convection of nanofluids is important for the practical application of nanofluids in heat transfer devices. Recent experiments showed that heat transfer enhancement of nanofluids exceeds the thermal conductivity enhancement of nanofluids. This extra enhancement might be explained by thermal
R, GOWTHAM
Tuning structural and optical properties of Cu2ZnSnS4 thin films via annealing temperature2026-28-0015To be published on 02/12/2026
Cu2ZnSnS4 thin films, a promising material for solar cell absorber layers, have been effectively deposited onto soda-lime glass substrates using the chemical spray pyrolysis method. During this deposition method, the films have been deposited at a substrate temperature of 375 °C. The films are deposited with a spray rate of 10 ml/min to achieve uniform film formation. After the deposition of these films, to improve the crystallinity of the films and increase the sulfur content, the as-deposited films were annealed in a sulfur-rich atmosphere. Annealing was carried out at a two-zone vacuum tubular furnace at 500 - 550 °C. The as-deposited films are found to be rich in tin and deficient in sulfur. After annealing, there is a noticeable improvement in the Cu2ZnSnS4 phase formation and crystallinity. However, films annealed at the higher temperature of 550 °C showed signs of zinc loss in the deposited films. X-ray diffraction analysis confirmed the formation of the kesterite structure
M, Pavan Sai Reddy, Kumar, YB Kishore
Parameter Selection Strategies for High-Performance WAAM Structures in Automotive Engineering2026-28-0033To be published on 02/12/2026
Wire Arc Additive Manufacturing (WAAM) has gained traction as an advanced fabrication technique for producing large, structurally demanding components in the automotive industry. Achieving high-performance WAAM structures requires precise control and selection of key process parameters, which directly influence mechanical strength, dimensional accuracy, and surface quality. This study investigates the effect of critical process variables—including wire feed rate, travel speed, current, voltage, and inter-layer cooling time—on the structural integrity of WAAM-fabricated components designed for automotive use. A systematic experimental approach, supported by statistical modeling and optimization tools, was employed to identify parameter combinations that yield optimal results. The outcomes demonstrate improved microstructural uniformity, reduced residual stresses, and enhanced tensile properties in the fabricated parts. The findings serve as a foundation for developing robust parameter
V, Aravind
Investigation of Wear and Friction Characteristics of 3D printed PLA and PLA–Carbon Fiber Composites against a Tribometer Counter Part Surface2026-28-0031To be published on 02/12/2026
PLA (poly Lactic Acid) carbon fiber composites is most widely used in industrial applications especially in automotive, consumer electronics sector due to low cost prototyping and durability. In this proposed work, investigation on PLA and PLA+CF 3D printed samples are taken for wear and friction testing with same material counterpart. This experiment helps to analyze wear and friction resistance by applying material interaction between part on pin, counterpart on disc with varying applied load of 5,10,15 to 20N and sliding velocity of 1m/s and 3m/s. At first designing the required prototype (Part sample, counterpart disc) with material as PLA, PLA+CF. The unique of the research, tested samples are 3D printed pin and counterpart disc, both are same material. Each sample subject to 4 different load and 2 different sliding velocity. In this work we use two materials namely PLA, PLA+CF composite material. In this work PLA and PLA Carbon Fiber materials are comparatively analysed where PLA
Ranganathan, Soundararajan, Karthickkumar, S, Alwin Jones, J
Computational fluid dynamic and fatigue analysis of turbocharger turbine wheel2026-28-0070To be published on 02/01/2026
Turbochargers are essential for improving engine efficiency by compressing air and delivering it to the engine at higher pressure, thereby increasing power output. The turbine wheel in a turbocharger operates under severe mechanical and thermal stresses, making it highly susceptible to fatigue failure, which can occur even under conditions below the rated operating load. To ensure long-term reliability, detailed analysis of the turbine’s fatigue life is essential. This study combines computational fluid dynamics with fatigue analysis to predict the performance and lifespan of a turbocharger's turbine wheel, with a focus on Inconel alloys known for their durability in extreme conditions. A numerical mesh analysis, employing 1,165,610 nodes, was conducted to achieve convergence for both temperature and stress evaluations, leading to the selection of a 2 mm mesh size. Pressure contours at the turbine-fluid interface revealed a pressure range between 1.09 and 1.05 bar, with most of the
Chelladorai, Prabhu, Balakrishnan, Navaneetha Krishnan, G, Naresh, T J, Sreejaun
AA5083 and AA6061 Aluminium Alloys Friction Stir Welding: Multi Response Optimisation of Process Parameters Using the TOPSIS Approach2026-28-0093To be published on 02/01/2026
This work is an attempt to select the optimum process parameters for friction stir welding of AA5083-AA6061 alloy based on multiple criteria decision making approach. The friction stir welding experiments have been conducted according to L9 orthogonal array with chosen input parameters are tool rotational speed, feed and tilt angle. The responses measured are tensile strength, hardness and % of elongation of welded joint. The multi criteria decision making technique namely Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is used to find the optimum process parameters combination. The optimum conditions are tool rotational speed of 710 rpm, feed of 50 mm/rev and tilt angle at 2o.
P, Umamaheswarrao, Dunna PhD, Vijay, Jamuna Rani, G, Anchupogu, Praveen, R L, Krupakaran
Mechanical and Tribological Characterization of Bagasse Biochar Filled Glass Fibre Basalt Fibre Reinforced Epoxy Hybrid Composites for passenger car bumper beam2026-28-0084To be published on 02/01/2026
Biochar composites are a new type of polymer that has been widely used in soil treatment, energy storage, and energy and waste management. Biochar composites have been widely used in soil treatment due to their environmental sustainability and environmental benefits. The mechanical and tribological characterization of hybrid glass-basalt fibre reinforced epoxy composites is done with valuable insights into the material's potential for various applications. This work focuses on the various formulations of biochar-infused hybrid composites used for soil treatment, their efficiency, and their long-term environmental benefits, as well as the diverse formulations that have been used in various fields. The study explores the mechanical and tribological properties of a new composite made up of bidirectional woven glass fibre, basalt fibre mat, biochar fillers, and epoxy resin with total percentages of the hybrid reinforcements as 2\%, 4\% 6\%and 8\% against the Epoxy Resin Glass Fiber Basalt
Dharmaraj, Vijayakumar, Selvamani, Muthukumar, Ramasamy, Paullinga Prakash, M, Selvam, m, Karimullah
CFD Investigation of Heat Transfer in Aluminium Alloy Fins of Various Shapes2026-28-0105To be published on 02/01/2026
In an automobile industry, efficient heat dissipation is essential to maintain component performance and prevent material failure due to thermal stress. Fins, as extended surfaces, enhance heat transfer from hot surfaces to the surroundings through conduction and convection. Aluminum alloys are commonly used for fins due to their excellent thermal conductivity. This project focuses on the thermal analysis of four fins with different cross-sectional shapes: rectangular, circular, triangular and trapezoidal. The fins are modeled in ANSYS Workbench and thermal performance is evaluated using both ANSYS Workbench and ANSYS Fluent. Key parameters analyzed include temperature distribution, total and directional heat flux, temperature plots and thermal stress. The study aims to identify which cross-section provides the most efficient heat dissipation. It also explores how increasing fin surface area and quantity improves thermal performance. The findings will aid in optimizing fin design for
Sagaya Raj, Gnana
Surrogate modeling for faster assessment of thermal performance and reliability of discrete packaging in power electronics2026-28-0100To be published on 02/01/2026
The thermal performance and reliability of discrete packaging in power electronics are critical due to miniaturization and high-density packaging. Optimizing solder joint design is essential to mitigate thermo-mechanical fatigue, a primary failure mechanism caused by repeated thermal cycling in power switching applications like MOSFET packages. This cycling leads to uneven expansion and contraction among materials, potentially resulting in cracks that impair heat dissipation or cause delamination. While physics-based finite element modeling (FEM) is effective for predicting solder joint lifetimes, it can be resource-intensive and slow during the conceptual design phase, where rapid decision-making is crucial. This paper introduces a surrogate modeling approach to deliver faster, data-driven solutions in early design stages. By employing a finite element-based virtual design of experiments (VDoE), the study analyzes multiple design parameters, such as thermal interface material (TIM
Naga Satyakrishna, Vinjamuri, Baikadi, Pawan Rao, Gromala, Przemyslaw
Impact and Structural Analysis of a Composite Cricket Helmet Fabricated using Hand Lay-up Method.2026-28-0085To be published on 02/01/2026
The cricket helmet plays a crucial role in protecting players from severe head injuries caused by high-speed ball impacts, often exceeding 140 km/h. While conventional helmets typically use carbon fiber composites, this research focuses on enhancing helmet safety by developing a composite made from basalt fiber reinforced with flax fiber, using epoxy resin as the matrix. This alternative material combination is selected for its high strength-to-weight ratio, superior impact resistance, and environmental sustainability. The primary objective is to improve the mechanical performance and energy absorption capacity of cricket helmets. The project is carried out in three key stages. In the first stage, a detailed material selection process is conducted by evaluating various alternatives to carbon fiber, leading to the selection of basalt and flax fibers for their favorable mechanical and physical properties. In the second stage, a precise 3D model of the composite helmet is designed using
D R, Rajkumar, S, Sakthivi Saravanan S, S, Kamalesh, P, Praveenkumar, S, Mathiyalagan
Material Selection for Automotive Floor Carpets to Enhance Performance2026-28-0076To be published on 02/01/2026
Automotive floor carpets are critical components in vehicle interiors, serving both functional and aesthetic purposes. They enhance cabin comfort by providing thermal insulation, noise reduction, and a soft underfoot feel and protecting the vehicle's floor from dirt, moisture, and wear. Additionally, carpets contribute to the overall aesthetic appeal and perceived quality of the vehicle interior, influencing customer satisfaction. Abrasion in carpets is a significant concern when they are subjected to constant wear and tear from foot traffics, debris and environmental factors, some of the key issues which are caused like Fiber wear and loss, color fading and discoloration, material degradation, it impacts the carpets lifespan compromising the comfort, aesthetics & underfoot feel for the end Consumer. This study investigates validation & verification of various carpet materials on cut piece level to determine their resistance towards abrasion, Durability and longevity over the lifespan
PATNAIK, MANGA NARAYANA, Palaniappan, Elavarasan, Kinthala, Nareen, Junankar, Ashish
Thermo-Mechanical Analysis of Engine Pistons with Varying Geometries – ANSYS Approach2026-28-0098To be published on 02/01/2026
This paper presents a comprehensive analysis of different piston configurations under steady-state thermal and static-structural conditions. With the rising demand for automobiles, optimizing internal combustion engine components—especially the piston—has become increasingly important. The piston plays a crucial role in converting thermal energy from combustion gases into mechanical energy, which is then transferred to the crankshaft via the connecting rod. It operates in a reciprocating motion within the engine cylinder and is equipped with gas-tight piston rings to prevent the leakage of combustion gases and mixing with the lubricating oil. An ideal piston should be lightweight, cost-effective, and capable of withstanding high pressure and temperature, both structurally and thermally. Pistons are typically manufactured using aluminum or cast iron alloys due to their favorable material properties. In this study, four piston types—bowl, flat, wedge, and dome—were designed using Creo
Sagaya Raj, Gnana
Optimizing Welding Parameters to Achieve Superior Mechanical Properties in EN 10025-S275JR Mild Steel using GMAW2026-28-0078To be published on 02/01/2026
This study investigates the mechanical properties of welded joints created using Gas Metal Arc Welding (GMAW) to join 10mm thick mild steel plates. The focus is on examining how varying wire feed speeds (WFS) influence the weld quality, using a single V butt joint layout. The research includes mechanical tests such as tensile strength, hardness, and impact energy to correlate these properties with the welding parameters. Destructive testing methods are used to evaluate the failure modes and mechanical performance of the welded joints, providing valuable insights into their behaviour under stress. And also ensure the defects of the weld using Non-Destructive testing for finding mechanical properties. The goal of the study is to determine optimal welding parameters for structural mild steels, which are commonly used in industrial and construction applications. By optimizing the welding process, the research aims to enhance the quality, reliability, and lifespan of welded joints
D R, Rajkumar, M, Hariharan, S, Edwin Roshan, B, Santhosh
Investigation of Fatigue Durability Failure Mechanisms in High-Pressure Hydraulic Pipes of Power Steering Systems2026-26-0542To be published on 01/16/2026
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 interference2026-26-0541To be published on 01/16/2026
This study focuses on the investigation of wheel rim failures near weld zone during repeated cornering induced by interference between the rim and disc during the wheel manufacturing assembly process. Strain gauges were employed to capture real-time stress and strain distributions at critical zones during interference fitting. The experimental results revealed that improper interference levels lead to significant stress concentrations, often surpassing the material's elastic limit, initiating micro-crack formation and promoting fatigue failure. Detailed strain analysis indicated that both radial and axial stresses contribute to long-term structural degradation. The study highlights the critical role of dimensional tolerances, surface finishes, and assembly forces in minimizing stress-induced failures. Recommendations are provided for optimizing design and assembly practices to enhance the durability and reliability of automotive wheels.
P, Praveen, DEsigan, Lakshmipathy, K, Chandramohan, C, Santhosh
Development of Door Impact Loads Using Pedal Force Sensor and First Principles2026-26-0538To be published on 01/16/2026
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
Structural analysis and Design optimization of Cylinder Head of Cummins Light duty Engine for Medium Wheelbase (MWB) pick-up truck2026-26-0495To be published on 01/16/2026
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
Failure Analysis of Dissimilar Metal Weld Joint of an Air Spring Bracket within an Automotive Active Seat Suspension System2026-26-0487To be published on 01/16/2026
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
Accelerating Product Development Life Cycle through Digitalization of Fatigue Life for Structural Components2026-26-0496To be published on 01/16/2026
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
Sensorless Tire Health Monitoring System Based on Machine Learning for Passenger Vehicles2026-26-0670To be published on 01/16/2026
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
Cabin Heat-up Thermal Assessment for Human Comfort in Passenger Car2026-26-0408To be published on 01/16/2026
The HVAC (Heating, Ventilation and Air conditioning) system is designed to fulfil the thermal comfort requirement inside vehicle cabin. Thermal comfort is significantly subjective which predominantly dependent on occupant’s physiological condition. Vehicle AC performance is evaluated by air flow and local temperature thus, thermal comfort assessment is carried out by mapping of velocity and temperature at various places inside cabin. There is need to have Simulation methodology for heating cabin during cold climate to assess ventilation system effectiveness. Thermal comfort modelling involves human manikin, complex cabin material along with environmental condition in expensive transient simulation. Present study employed with LBM (Lattice-Boltzmann Method) based PowerFLOW solver coupled with finite element based PowerTHERM solver to simulate the cold soaking and heating up of cabin. Thermal comfort is subjective to human physiological modelling thus in-built Berkeley human comfort
Baghel, Devesh Kumar, Kandekar, Ambadas, Kumar, Ravi, Dimble, Nilesh
Investigating Thermal Fatigue Cracks in Exhaust Manifolds of Longitudinally Mounted 1.2L 4-Cylinder Engines2026-26-0488To be published on 01/16/2026
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
Durability Validation of Full Vehicle Structures Using Strain Correlation and RLDA-Based Simulations2026-26-0523To be published on 01/16/2026
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
Enhanced Methodologies for predicting Automotive Wheel Bearing life and damage using RLDA2026-26-0482To be published on 01/16/2026
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
Optimizing Busbar Design by Investigating Critical Parameters and Their Influence on Electrical and Thermal Behaviors for Reliable Electric Vehicle Battery Packs.2026-26-0474To be published on 01/16/2026
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
Decision-fatigue mitigation in Automotive HMI System2026-26-0652To be published on 01/16/2026
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
AI-Driven Stress and Fatigue Life Prediction of Engine Connecting Rods using Geometric Deep Learning2026-26-0633To be published on 01/16/2026
The connecting rod is one of the critical components of the engine which is subjected to complex cyclic loading, demanding precise evaluation of stress distribution and fatigue life. Conventional Finite Element Method (FEM)-based simulations, while accurate, are computationally expensive and time-intensive—especially when iterating through multiple design variations. To address this, we present an AI/ML-based predictive framework using Graph Neural Networks (GNNs) and Geometric Deep Learning (GDL) techniques to efficiently predict stress and fatigue life of the connecting rod. The methodology involves representing FEM mesh data as graph structures, where nodes and edges capture geometric and physical relationships. GNN architectures, including MeshCNN and PointNet++, are trained on historical simulation data to learn spatial dependencies and nonlinear mappings between geometry, load conditions, and resulting stress/life outputs. The framework significantly reduces computation time
Pathan, Mohammed Shakil, K, Karthikeyan, Pilla, Sashanka, S Kangde, Suhas
Next-Gen Driver Health and Wellness Platform for Fatigue Detection and Emotional Wellbeing Monitoring2026-26-0639To be published on 01/16/2026
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
Risk assessment of cold side components using quick modal analysis correlation technique.2026-26-0441To be published on 01/16/2026
Abstract: Modal analysis is performed to determine the natural frequencies and mode shapes of a structure or system. It helps engineers understand how a system vibrates and how external forces, such as mechanical loads, might excite unwanted resonances. To check the stresses due to vibration inputs, certain G levels are assumed, and stresses are scaled to those vibration levels. This gives an understanding of the stresses of component with respect to its EFR limit and design margins are calculated. But, assumed acceleration levels in pre-prototype stage level can over predict or under predict the design margins. A quick modal analysis corelation technique can be used by using test measured accelerations conducted at prototype stage of the program. In this work, a modal analysis corelation technique is used to perform risk assessment of intake manifold. The intake manifold failed due to high vibration levels which were not captured from high cycle fatigue analysis with assumed G-level
Bale, Shrikant Bhaskar, Bawache, Krushna
Novel Approach on Material characterization Testing of various Wiring Harness2026-26-0548To be published on 01/16/2026
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
Fatigue Life Prediction Methodology for Vehicle Suspension System and correlation with Physical Test2026-26-0459To be published on 01/16/2026
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
Wheel side load calculation using the strain measurement on swingarm and duty cycle development2026-26-0583To be published on 01/16/2026
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
Experimental Study to Investigate and Control Image Blurriness due to IRVM Vibration2026-26-0321To be published on 01/16/2026
Vibration is one of the prominent factors that determine the quality & comfort level of a vehicle. Moreover, if vibration occurs in areas that are almost entirely within customer touchpoints (during either city or highway driving conditions), it could become a critical factor behind the deterioration of brand image within the market. The interior rear-view mirror (IRVM) is one of the important components inside passenger cabin, providing drivers with a clear view of the rear traffic. However, vibrations induced by engine operation, road irregularities, and aerodynamic forces can cause the IRVM to oscillate, leading to image blurriness and compromised visibility and safety. This paper investigates the underlying causes of IRVM vibrations and their impact on image clarity. Through a combination of experimental analysis and computational modelling, we identify key factors contributing to mirror instability. The findings indicate the specific frequencies of vibration, particularly those
Khan, Aamir Naved, Saraswat, Vivek, Jha, Kartik, Singh, Hemendra, Seenivasan, Gokulram, Khan, Nafees
Thermo-Mechanical Fatigue Assessment of Cylinder Heads Using Advanced Simulation Techniques2026-26-0465To be published on 01/16/2026
Thermo-mechanical fatigue (TMF) is a critical durability concern for cylinder heads in internal combustion engines, particularly under severe cyclic thermal and mechanical loads. TMF-induced damage often initiates in geometrically constrained regions with high thermal gradients and can significantly reduce component life. As performance demands increase, understanding and mitigating TMF becomes essential to ensure the structural integrity and long-term reliability of engine components. This study presents a simulation methodology for evaluating thermo-mechanical fatigue (TMF), a temperature-dependent low-cycle fatigue (LCF) mechanism that arises from repeated thermal expansion and contraction under mechanical constraints, leading to cyclic plastic deformation and damage. The methodology consists of two key phases. Phase I involves global finite element (FE) simulations—both thermal and structural—to obtain temperature and displacement fields under rated and idle engine conditions
Ghotekar, Sunil, Kumbhar, Dipak Madhukar, Pendse, Ameya
Thermal Management of High-Voltage Connectors using double-layered Phase-Change Materials (PCM)2026-26-0279To be published on 01/16/2026
Abstract: High Voltage cables and terminals are prone to high temperatures and rapid heat generation due to high current ratings, especially in electric vehicles (EVs). If the temperature exceeds a critical limit, danger may be posed to the components which are connected and the overall safety of the passengers. Traditionally, cooling methods are often energy-intensive and rely on active systems, which may not always be practical for high-power applications. Thus, a localized, fast, and reliable passive thermal management methodology that can be retrofitted into existing connector designs through modifications (e.g., enlargement and PCM integration) would provide significant safety enhancement. The material property of phase change materials, which possess high latent heat, has been used to maintain a steady temperature for a period of time. A dual PCM-layer has been incorporated into the design of the high-voltage connector to serve two purposes:1. The first PCM layer (PCM-1), with
Neogi, Angshuman, Shinde, Shardul
Comprehensive Durability Assessment of Planet Carrier in Heavy-Duty Tipper Gearboxes Using RLDA Torque Data2026-26-0443To be published on 01/16/2026
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
Electric mobility and materials circularity - a study of recycled PET textiles for automotive interiors2026-26-0237To be published on 01/16/2026
The adoption of sustainability in electric mobility has made it crucial to investigate environmentally friendly materials. Polymer materials used in automotive application plays very important role in material circularity contributing significant value addition to the overall carbon footprint index. This study discloses the development of recycled polyester textiles from PET bottle waste, use for automotive interior parts and carbon footprint impact. The use of recycled textiles is directly helping the organization in scope 3 emissions to get the lower carbon footprint value by eliminating the use of fossil fuel resources in making the PET textiles. In this study, the development road map methodology adopted, and validation cycle of recycled polyester textiles (PET) were explained broadly with results of different constructions, color and finishes against automotive critical requirements such as sun load UV resistance, abrasion durability, color migrations, soiling resistance
Palaniappan, Elavarasan, Varatharajan, Senthilkumaran, Balaji, K V, Dodiya, Rohanbhai
Design optimization of the propeller shaft and transfer case for high-speed 4WD vehicles2026-26-0343To be published on 01/16/2026
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
Accurate Component Load Prediction with Hybrid Test – FEA Approach.2026-26-0366To be published on 01/16/2026
Knowing accurate loads acting on the structure is still a main pain area for analyst. Accurate fatigue analysis through FEA is still a difficult task because of uncertainties associated with component load profile. Even for known duty cycle, approximation involved in measurements and load cascading techniques (MBD simulation models) put limits on accuracy of component load prediction. Small error in loads can lead to very large error in fatigue life calculations. Various researches proposed various innovative alternate means for accurate component load prediction and published in literature over past few decades. Author has explored and developed hybrid Test-FEA approach to estimate component loads based on robust strain-load transformation and pseudo inverse technique. This approach is based on effective use of strain transformations along with accurately measured strain data to calculate accurate load histories. The accuracy of load estimates depends upon number of factors such as
Pratap, Rajat, Apte, Sr., Amol, Babar, Ranjit
Value-Engineered Design Optimization of a Reinforced Plastic Bracket to Meet Natural Frequency Targets in Passenger Vehicles.2026-26-0355To be published on 01/16/2026
The transition from metal to plastic in the design of engine mount brackets marks a pivotal step toward sustainable and value-driven automotive engineering. This study investigates the optimization of plastic engine mount brackets, focusing on material selection, structural performance, and alignment with NVH (Noise, Vibration, and Harshness) targets. Recycled polymer composites were chosen for their favorable mechanical properties, environmental resilience, and contribution to circular economy goals. The primary objectives were weight reduction, cost-effectiveness, and manufacturability, without compromising structural integrity or long-term durability. A combination of Finite Element Analysis (FEA), CAE-based durability simulations, modal analysis, and comprehensive vehicle-level validation was conducted to assess dynamic performance. Results demonstrated that the optimized plastic brackets not only satisfy critical natural frequency and durability requirements but also offer a
Hazra, Sandip, Gupta, Deepak, Khan, Arkadip, Gite, Yogesh
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