Browse Topic: Supply chain management

Items (3,543)

5/5/2026

Traditional safe-life methodologies for rotorcraft structural components rely on deterministic safety factors to account for uncertainty in loads, material properties, and operational usage. While effective for ensuring safety, these approaches lead to early retirement lives and reduced aircraft availability. This paper presents an updated digital twin-based probabilistic framework for rotorcraft component fatigue life assessment that integrates a probabilistic stress–life (S-N) material model, machine learning-based load estimation from flight data, and Monte Carlo uncertainty propagation. The approach is demonstrated for a critical location on the CH-146 Griffon main rotor yoke. Compared with earlier work, the present study advances the framework through independent validation of the load-estimation model and application to available in-service flight data from multiple mission categories. A probabilistic sensitivity analysis is used to examine the separate and combined effects of

Asaee, Zohreh, Bombardier, Yan, Renaud, Guillaume

Digital Data Model Framework Aligned to the AS9100 Quality Management Standard

SAE-SUP-AS91003/6/2026

A digital data model based on the AS9100 Standard provides a structured, interoperable foundation for managing aerospace quality processes in a fully digital environment. The model defines the entities, relationships, and data governance rules required to support configuration management, risk assessment, nonconformance handling, document control, supplier oversight, and continuous improvement activities. By translating AS9100 requirements into a unified data architecture, the model enables consistent traceability from design inputs through production, verification, and delivery. It also supports automated compliance monitoring, workflow orchestration, and analytics across the product lifecycle. This digital representation strengthens audit readiness, reduces variability in quality processes, and enhances the organization’s ability to maintain conformity in complex, multi‑stakeholder aerospace programs. As organizations modernize their quality systems, the model serves as a scalable

Digital Data Model for the AS9100D Aerospace Standard

SAE-PJ-0001

1/20/2026

This digital data model for the AS9100D aerospace quality management standard provides a structured, machine‑readable representation of the requirements, definitions, and industry‑specific enhancements that distinguish AS9100D from its ISO 9001:2015 foundation. Designed to support interoperability across aviation, space, and defense organizations, the model encapsulates the standard’s clause hierarchy, terminology, and compliance attributes in a format optimized for automated processing, validation, and lifecycle management. The model incorporates the revised clause structure introduced with ISO 9001:2015 and extends it with aerospace‑specific obligations, risk‑based considerations, and supply‑chain expectations defined by the International Aerospace Quality Group (IAQG). It captures the relationships between core quality management system elements—such as leadership, planning, operational control, and performance evaluation—while embedding additional AS9100D requirements related to

Automotive Cybersecurity Regulatory Framework

2026-26-06251/16/2026

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

Navigating the Field of Automotive Cybersecurity Relevant Regulations

2026-26-06231/16/2026

In recent years many automotive cybersecurity relevant regulations have been released and some have already started to come into effect. Moreover, some other regulations will come into effect in the next few years. These regulations provide requirements and guidance to automotive organizations with different degree of specifics. In this paper, we review a number of different cybersecurity relevant regulations such as UNR 155, UNR 156, AIS 189, AIS 190, GB 44495, GB 44496, EU Cyber Resilience Act, 15 CFR Part 791. We break down and categorize these regulations based on their scope and highlight key areas relevant to different teams within the organizations. These key areas include cybersecurity management system (CSMS), software update management system (SUMS), secure software development and software supply chain security, continuous cybersecurity activities (monitoring, incident response), and vulnerability disclosure and management. We then map responsibilities from the regulations

Oka, Dennis Kengo, Vadamalu, Raja Sangili

Considerations for Vulnerability Management in the Automotive Industry

2026-26-06261/16/2026

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

Automotive Cybersecurity Incident Response (CSIR) Framework and Its Integration into OEM Processes

2026-26-06131/16/2026

The exponential growth of connected and autonomous vehicles has significantly escalated cybersecurity threats, compelling automotive Original Equipment Manufacturers (OEMs) to adopt robust and structured Cybersecurity Incident Response (CSIR) capabilities. Current automotive cybersecurity regulations, such as AIS 189 in India and UNECE WP.29 globally, mandate precise frameworks for proactive threat detection, timely response, and comprehensive incident documentation. This research presents an innovative, comprehensive CSIR framework specifically tailored to integrate seamlessly into OEM cybersecurity management processes. Leveraging a combination of real-time monitoring systems, structured threat categorization methodologies, and integrated escalation and communication protocols, the proposed CSIR framework ensures efficient incident handling aligned with stringent regulatory compliance. The framework encompasses advanced methodologies including Vehicle Security Operations Center (VSOC

chaudhary lng, VIKASH, Desai, Manoj, Chatterjee, Avik, Chatterjee lng, Avik

Real-Time In-Cabin Vital Sensing and Emergency Response Using Ultra-Wideband Radar in Automotive Environments

2026-26-00121/16/2026

This study introduces a novel in-cabin health monitoring system leveraging Ultra-Wideband (UWB) radar technology for real-time, contactless detection of occupants' vital signs within automotive environments. By capturing micro-movements associated with cardiac and respiratory activities, the system enables continuous monitoring without physical contact, addressing the need for unobtrusive vehicle health assessment. The system architecture integrates edge computing capabilities within the vehicle's head unit, facilitating immediate data processing and reducing latency. Processed data is securely transmitted via HTTPS to a cloud-based backend through an API Gateway, which orchestrates data validation and routing to a machine learning pipeline. This pipeline employs supervised classifiers—Support Vector Machine (SVM), K-Nearest Neighbors (KNN), and Random Forest (RF)—to analyze features such as temporal heartbeat variability, respiration rate stability, and energy distribution patterns

Singh, Samagra, Pandya, Kavita, Jituri, Keerti

Lightweight AI Deployment for Legacy Automotive ECUs: A Practical Optimization Approach

2026-26-06631/16/2026

Automotive systems are increasing adopting data-driven and intelligent functionality in the areas of predictive maintenance, virtual sensors and diagnostics. This has led to a need for the AI models to be directly run on vehicle ECUs. However, most of these ECUs – especially those in cost-sensitive or legacy platforms lack the computational capacity and parallel processing support required for standard AI implementations. Given the stringent real-time and reliability requirements in automotive environments, deploying such models presents a unique challenge. This paper proposes a practical methodology to optimize both the training and deployment phases of AI models for low-computation ECUs that operate without parallelism. Designing lightweight model architectures, using pruning and quantization techniques to minimize resource utilization, and putting in place a strategy appropriate for single-threaded execution are the three main objectives of the developed approach. The goal is to

Sharma, Sahil, Mathew, Melvin

Comparative Analysis of Charger Identification Methods in Electric Truck Routing Algorithms

2026-26-02061/16/2026

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

Comprehensive Durability Assessment of Planet Carrier in Heavy-Duty Tipper Gearboxes Using RLDA Torque Data

2026-26-04431/16/2026

In heavy-duty tippers, where challenging conditions demand high torque, planet carriers play a crucial role by enabling efficient load distribution and torque transmission while supporting gear ratio and speed variation in space-constrained systems such as automatic transmissions, hybrid drivetrains, and electric vehicles. This paper focuses on the comprehensive durability performance assessment of planet carriers using duty cycles derived from RLDA measurements for a heavy-duty tipper gearbox development program. The existing Design Validation Plan (DVP) for the planet carrier considers first gear utilization of 10-15% at 40% vehicle overload, in line with historical data. However, recent trends in mining applications revealed vehicle overloads of 55-65%, leading to an increase in first gear utilization (25-35%). This shift presents challenges for OEMs to enhance design durability while incorporating additional safety margins to meet the demands of a competitive, cost-driven market

Bagane, Shivraj, Pendse, Ameya

Comparative Assessment of Lithium-Ion Battery Recycling Strategies: Unveiling Challenges, Optimizing Benefits, and Exploring Future Potential.

2026-26-02011/16/2026

This research paper offers a comprehensive evaluation of lithium-ion battery recycling methods, tracing the entire journey from global demand to the practical challenges and solutions for sustainable battery recycling. It starts with the analysis of worldwide LIB demand growth alongside the exponential growth in volumes of spent batteries and recycling rates. The study focuses on the imbalance in production and recovery of critical battery components and its environmental and economic effects. The paper then systematically examines six major recycling methodologies: mechanical, pyrometallurgical, hydrometallurgical, biotechnological, direct, and ion-exchange recycling. It goes into detail about their advantages, limitations, and roles in maximizing the recovery of valuable metals such as lithium, cobalt, and nickel. Traditional techniques like hydrometallurgical and pyrometallurgical methods, and emerging approaches including bioleaching and ion-exchange, are evaluated for their

Jain, Gaurav, PREMLAL, P, Pathak, Rahul, Gore, Pandurang

Driver-in-the-Loop Optimization of Tire-Vehicle Dynamics using Virtual Tire Development approach through CD Tire Models

2026-26-00991/16/2026

This study provides a virtual development process using VI-Grade Driving Simulator and Adams simulation integrating CD tire models to modify all-terrain tire performance for an altered and new proposed version of an existing production vehicle. The proposed alteration introduces ride height changes, weight distribution changes, and centre of gravity changes from existing vehicle design. The proposed new vehicle variant also introduces tire change from highway terrain type to all-terrain type as it was intended to deliver some off-roading capabilities, thereby vehicle dynamics and kinematics recalibration & tuning required. The conventional development cycles through physical prototypes are time-consuming and expensive. Alternatively, this solution combines high-fidelity tire simulation, driver-in-the-loop (DIL) simulation, and multi-body dynamics analysis to reduce development time and prototype cycles. The proposed method begins with baseline correlation, augmenting Adams vehicle

Shrivastava, Apoorv, Asthana, Shivam

Powering the Future: Addressing Power Architecture bottlenecks in Next Gen Automotive Platforms.

2026-26-06881/16/2026

As the automotive industry moves from conventional function oriented embedded ECU-based systems to Code-driven system, the core electrical and electronic (E&E) architecture is also being redesigned to support more software-driven functionality. Modern and centralized architectures promise scalability and software-driven flexibility, but they also introduce significant challenges in power distribution-an area that remains underexplored despite its critical role in overall vehicle safety and performance. Our paper aims at the adoption of the traditional power distribution approach for Next Gen vehicle architecture. It requires a fresh look at how power is distributed. In a novel E&E architecture, a single power harness supplies battery voltage to each zone. If there's a failure or voltage drop, it can affect multiple functions within that zone at once, and management of voltage regulation, thermal dissipation, and EMI/EMC compliance becomes crucial. Adding to the complexity, safety

Borole, Akash, CHAKRA, PIPUN, Warke, Umakant

Nexifi11D: A Comprehensive Multidimensional Framework for Futuristic Manufacturing Ecosystems

2026-26-02821/16/2026

The manufacturing sector is undergoing a paradigm shift driven by hyper-connectivity, sustainability imperatives, and accelerated digital transformation. Conventional systems, however, remain constrained by their focus on isolated optimizations—such as predictive analytics, IoT-enabled sensing, or workforce scheduling—without providing an integrated operational perspective. To address this fragmentation, Nexifi11D is introduced as a comprehensive, multidimensional framework that consolidates 11 critical dimensions of manufacturing into a unified ecosystem. Nexifi11D advances beyond traditional Industry 4.0 architectures by seamlessly integrating intelligent algorithms, immersive simulation technologies, IoT infrastructure, and predictive systems within a scalable, interoperable mesh. The framework breaks down silos across key manufacturing domains—such as sustainability, cost, operations, and workforce—enabling holistic, data-driven, and proactive decision-making. Each integrated

Kumar, Rahul, Singh, Randhir

Predictive Simulation Framework for Tyre Curb Impact Durability Assessment and Design Optimization

2026-26-03961/16/2026

Tyre structural durability validation is a critical aspect of automotive design, considering the worsening road conditions. One of the key validation tests for assessing structural integrity is the curb impact test, which evaluates the tyre's ability to withstand sudden and concentrated impacts. Typically, this process involves physical testing of preliminary tyre samples, followed by iterative modifications to the tyre's construction to meet durability requirements. However, this approach often compromises ride performance, necessitating a more efficient and predictive methodology. To address this challenge, a frugal simulation-based prediction methodology has been developed to evaluate tyre curb impact durability before vehicle-level testing. This allows for the optimization of tyre design parameters early in the development process, ensuring structural performance while minimizing ride and handling (R&H) tuning iterations. By reducing the number of iterations, the methodology

Sundaramoorthy, Ragasruoban, LENKA., VISWESWARA

Installation Quality Audit (IQA) To-Go with Augmented Reality (AR)

2026-26-04201/16/2026

This paper presents a digital methodology that integrates the Installation Quality Assurance (IQA) process through augmented reality (AR) technology to rectify the part accessibility issues for assembly and service at the early design stage of the product. This technology enable engineers to overlay digital data on physical vehicle and verify the installation requirements on vehicle assembly which will meet the installation quality design (IQD) requirements done between OEM & supplier. For example: wire and tube, other aggregates etc. fitted on vehicle. AR will help to enhance visualization and better feel for vehicle integration and packaging aspects while performing fire path analysis, DMU review, DFA, DFS, signoff, etc. a live case study conducted for better understanding of the AR process. This technology will enhance quality DMU by ensuring sufficient gap/flash with each other as per design guidelines. Keywords: AR, IQA, IQD, DFA, DFS, DMU, OEM, etc.

Singh, Vinay Kumar, Kumar, Rahul, PANDARKAR, PRASHANT, Deep, Shivani Poddar

An In-Depth Exploration of the Evolution and Global Adoption of Electric Motors in New Energy Vehicles

2026-26-01611/16/2026

In recent years, the global automotive sector has undergone a transformation at an unprecedented pace, driven by rapid technological advancements and evolving consumer expectations. Central to this shift has been the accelerated adoption of electric motors as the primary propulsion mechanism in New Energy Vehicles (NEVs). This research paper explores the technological trajectory of electric motor development across four vehicle segments: two-wheelers, three-wheelers, passenger vehicles, and heavy-duty commercial vehicles. It identifies the leading electric motor technologies utilized in each of these segments, along with their prevalence across key regulated global markets. Drawing upon historical data and existing academic literature, the paper provides a comprehensive overview of current e-motor technologies and their market distribution. A regional analysis is conducted to examine variations in manufacturer preferences and deployment strategies, supported by visual representations

SINGH, ASHISH, Ray, Rakesh Kumar

Optimizing Powertrain Performance: A Customer Usage-Centric Approach

2026-26-00671/16/2026

The optimization of new generation trucks is crucial for enhancing performance, efficiency, and compliance with regulatory standards. In the conventional product development, the manufacturer often optimises the powertrain to meet the stringent emission which might not account for the customer usage. This study uses the simulation-based approach that integrates customer usage with help of logged vehicle data across various applications, to develop a single engine platform equipped with multiple drivetrain options. Using a data driven approach, real-world usage pattern analysis is conducted to identify key performance metrics required to optimize the driveline components tailored to each application. Additionally, the impact of certification requirements on vehicle performance is examined to ensure compliance while maximizing the benefits of the proposed optimization strategies. The findings of this research will provide valuable insights for manufacturers and fleet operators, enabling

Mohan, Vignesh, Darzi, Mahdi

A strategic approach to the selection of switchgear and busbars for EV battery packs

2026-26-01651/16/2026

With the rising adoption of electric vehicles (EVs), the need for robust and efficient power distribution systems has become increasingly important. This paper outlines a strategic method for selecting switchgear and busbars in EV battery packs, emphasizing key factors such as safety, energy efficiency, thermal control, and future scalability. Proper optimization of these components can significantly improve performance, minimize power losses, and ensure durability under demanding operating conditions. The design and selection of battery conducting components, such as switchgears and busbars, are typically based on the maximum continuous and peak current capabilities of the EV battery pack. While this approach ensures that the components can withstand extreme conditions, it often leads to over-engineering, resulting in unnecessary costs and added weight. However, this method overlooks the dynamic power demands of the vehicle, which fluctuate based on driving conditions and usage. Real

Soman, Anu, satheesh, Goutham, K, Mathankumar

An Engineering Perspective on Cradle and Saddle Mount Configurations

2026-26-03131/16/2026

The evolution of electric vehicles (EVs) demands optimized powertrain mounting systems to achieve superior Noise, Vibration, and Harshness (NVH) performance. This study presents a comparative evaluation of cradle-type and saddle-type mounting systems in EV applications. Experimental modal analysis and vehicle-level vibration testing were conducted to assess structure-borne and airborne noise transmission across operating conditions. Key factors such as mount stiffness, isolation efficiency, and dynamic load distribution were analyzed. Cradle systems exhibited better low- to mid-frequency isolation, whereas saddle systems offered advantages in packaging flexibility, high-frequency noise control, and reduced load distribution on supporting structures. These findings provide valuable guidance for selecting optimal mount strategies to enhance occupant comfort and acoustic quality in future EV designs. Recommendations for mount system improvements considering evolving EV architectures are

Hazra, Sandip, more, Vishwas, Naik, Sarang Pramod

Study of Style wheel rim failure Due to Rim and disc assembly interference

2026-26-05411/16/2026

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

"Leveraging Python-CAN and UDS for Cost Effective Automotive ECU Re-Programming"

2026-26-05431/16/2026

Electronics with Software plays a crucial role to realize innovations in automotive industry. Advancement in automotive features has been fast paced, with rising number of ECUs (Electronics Control Unit) architecture increasing the complexity and cost pressure. While ECUs have established themselves the core unit to process and control vehicle including diagnostics. Hence ECU programming is vital for every player contributing to automotive development. Programming of an ECU involves several files like Bootloader, Application and calibration files, which are programmed over CAN bus using few of the widely used licensed tool such as Vector’s V-Flash, INCA-Flash, FlashR, etc. Despite the existence of major tools several organizations look for alternatives due to the high cost involved with license and CAN Hardware dependencies of manufacturers. Throughout this research various programming tools and CAN hardware compatibility were evaluated in combination, including time to program. The

Khot, Shubham, Iqbal, MD Farhan, Anilkumar, Sandhya, Tavhare Sr, Sarika, Bose, Indranil

Revolutionary EV Motors Innovation in E-mobility in Depth Analysis of Emerging Technologies, Comparative Insights & Their Ground Breaking Impact on Electric Vehicle Performance

2026-26-00731/16/2026

This paper delivers a forward-looking data-driven assessment of the transformative innovation in electric vehicle motor systems with targeting breakthroughs in the power density, energy efficiency, thermal robustness, manufacturability & better intelligent control. A rigorous Multi Criteria Decision Making (MCDM) framework is done to systematically evaluate and defining the rank of emerging motor technologies across eight weighted performance indicators. The findings reveal that which design strategies & material advancements offering the greatest potential for redefine propulsion performance that enabling lighter more compact & more efficient drivetrain capable of sustained high power operation. High ranking solution exhibit strong alignment with the industry's push toward scalable, low cost & rare earth-independent systems while other are identified as high risk/high reward pathway requiring targeted research to overcome critical problems. By integrating engineering performance

Jain, Gaurav, PREMLAL, P, Pathak, Rahul, Gore, Pandurang

A Novel Approach to Optimal Strain Gauge Placement for Structural Assessment: Integrating Close Looping Configuration with Calibration Techniques

2026-26-05511/16/2026

Addressing the challenge of optimal strain gauge placement on complex structural joints and pipes, this research introduces a novel methodology combining strategic gauge configurations with numerical optimization techniques. Traditional methods often struggle to accurately capture combined loading states and real-world complexities, leading to measurement errors and flawed structural assessments. For intricate joints, a looping strain gauge configuration is proposed to comprehensively capture both bending and torsional effects, preventing the bypassing of applied loads. A calibration technique is used to create strain distribution matrices and access structural behavior under different loading conditions. Optimization algorithms are then applied to identify gauge placements that yield well-conditioned matrices, minimizing measurement errors and enhancing data reliability. This approach offers a cost-effective solution by reducing the number of gauges required for accurate stress

shingate, Uttam, Yadav, Dnyaneshwar

Next Gen Automotive EDS Architecture design verification using real-time function mode simulation & failure condition analysis

2026-26-04541/16/2026

In current automotive electrical design practices, simulation and functional verification of the Electrical Distribution System (EDS) at the design stage are largely absent. Typically, the validation of controller behaviour and EDS wiring is performed only during HIL, SIL, MIL, prototype testing, or physical vehicle trials, often revealing issues late in the development cycle. This delay leads to costly redesigns, prolonged timelines, and increased chances of failure during vehicle integration. Therefore, there is a critical need for an early-stage simulation methodology that ensures robust EDS and controller design, enabling "first-time-right" readiness at the design stage itself. The proposed simulation framework introduces a function mode-based structural approach, where individual vehicle functions are mapped to their corresponding electrical circuits within the vehicle’s wiring system. Resistance values are allocated to specific paths depending on the active function or

Jaisankar, Gokulnath, Warke, Umakant

Simulation of EV range Estimation for different payload of vehicle.

2026-26-03891/16/2026

The electrification of transportation is reshaping the automotive and logistics industries, with electric vehicles (EVs) playing an increasingly central role in passenger mobility and commercial operations. As EV adoption grows, the need for accurate range estimation becomes critical, particularly under varying operational conditions such as increased payload. A key business challenge lies in the significant variability of EV range due to changes in vehicle load, which can affect performance, operational efficiency, and cost-effectiveness—especially for fleet-based services. This study focuses on addressing the technical gap in predicting EV range with respect to different payload conditions. Traditional range estimation methods often fail to account for real-world variables like additional cargo weight, leading to suboptimal route planning, increased energy consumption, and unanticipated charging requirements. Payload-induced range degradation can result in up to some deviation in

Khatal, Swaraj, Gupta, Anjali, Krishna, Thallapaka

A Noval methodology of compact cooling unit design for Truck applications by using CAE CFD simulation

2026-26-04601/16/2026

The implementation of AC unit on truck as compulsory as per government guideline demands the AC supplier to design a compact and modular AC unit within the available package space. The installation of AC unit inside the vehicle helps the driver to drive safely due to better cabin comfort. This will reduce fatigue due to the long driving of the truck drivers. Thereby the safety of the truck and driver will be saved with the implementation. But there are challenges for AC manufactures to design the compact size AC unit. The challenges like performance, durability, cost and less noise to be met as per customer requirement. To overcome the issue of design at the early stage and compact AC unit within small space is possible with the support of simulation software. AE and CFD plays a major role in this regard. So first unit level CAE and CFD analysis conducted to predict the result. AE used for checking the strength of the mounting bracket of cooling unit and CFD used for verifying the air

Parayil, Paulson

Sustainable Tyre- A Journey to Meet Future Requirements of Tyre Industry

2026-26-02911/16/2026

Sustainability and environmentally friendly business practices are becoming essential. Tyre industries are embracing the green initiatives to reduce its impact on the environment by exploring the eco-friendly strategies. Starting from the ethical raw material sourcing to a creative recycling technique, strategies are widely distributing in every step of tyre manufacturing to disposition. Each stage of a tyre's life cycle viz. raw material procurement, manufacturing, transportation both upstream and downstream as well as during the end-of-life phases have an emission-saving potential. It is important to reduce emissions at every stage of tyre's lifecycle. We, JK Tyre has recently developed a Sustainable Tyre with 11% less GHG emission through sustainable raw material approach. Bio sourced or bio attributed raw materials like Styrene Butadiene Rubber (SBR), Polybutadiene Rubber (PBR), Rubber process oil (RPO) and Silica along with natural rubber (NR) had been used. Beside the raw

Bhandary, Tirthankar, Singha Roy, Sumit, Paliwal, Mukesh, Dasgupta, Saikat, Chattopadhyay, Dipankar, Das, Mahuya, Mukhopadhyay, Rabindra

Development of Sustainable Textile Solutions Using Recycled and Bio-Based Materials for Automotive Soft Trims

2026-26-02361/16/2026

The shift towards sustainable and circular practices in the automotive industry is driving the development of eco-friendly materials for soft trims. This research explores the development and integration of sustainable textile solutions using recycled polyethylene terephthalate (rPET) from post-consumer waste and bio-based fibers such as banana and bamboo in various fabric forms—woven, knitted, and non-woven. Applications studied include seat fabrics, headliners, parcel shelves, and wheel arch liners. rPET textiles demonstrated promising strength, aesthetic appeal, and durability performance, while significantly reducing carbon footprint. Blends of rPET and virgin PET were optimized to balance properties with sustainability targets. Banana fibre, an agricultural by-product abundantly available in India, was explored for headliner substrates and parcel shelves, offering biodegradability and regional sourcing advantages. Bamboo fabrics, known for their natural antimicrobial properties

Deshpande, Sanjana, BORGAONKAR, Subodh

Optimization of Battery Mixing Strategies to Enhance Electric Vehicle Performance and Efficiency

2026-26-02091/16/2026

Fleet operators increasingly contend with a patchwork of battery‑pack generations that remain electro‑chemically compatible yet differ markedly in capacity, internal resistance and residual life. Conventional “like‑for‑like” replacement policies oblige service providers to retain costly legacy inventories or to install brand‑new packs in ageing vehicles—both scenarios inflating warranty exposure and material waste. Deploying a rational mixing strategy for packs of different vintages therefore offers a compelling path to lower costs and improve sustainability, but industry‑wide guidance is limited and confidence in performance impacts remains low. This paper presents an optimisation‑driven framework that determines when and how heterogeneous packs can be paired at the moment of integration while maintaining vehicle performance targets and minimising life‑cycle cost. The methodology combines: a physics‑based electro‑thermal performance model parameterised for discrete state‑of‑health

Nair, Sandeep R., Ravichandran, Balu Prashanth, Hallberg, Linus

Connected Traffic Warnings for Enhanced Commercial Trucking Safety

2026-26-06801/16/2026

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

Modelling and Analysis of Hypoid Gear Churning Loss in Rear Drive Axle: The Role of Oil Viscosity and Empirical Parameters

2026-26-05081/16/2026

This definitive study investigates the variation of churning losses occurring with hypoid ring and pinion gear sets and puts primary importance to factors that determine energy dissipation in these mechanisms. A detailed investigation shows that viscosity is critical, particularly due to large temperature-dependent variations. Besides this, the study focuses on particular attention to experimental parameters derived from measured data to model churning losses. Churning Loss itself originates in the interaction between the rotation of the gears and the lubricating oil - a source of significant inefficiency within the overall drivetrain. A robust, comprehensive model has been formulated to take this into account. It does not only account for variable oil viscosity with temperature but integrates key empirical parameters that reflect observed behaviours in gear systems. The study adopts a multidimensional approach by considering the influence of various other factors. It investigates how

Khan, Aliya Javid, Praveen, Abhinav, Kanagaraj, Pothiraj, Jain, Saurabh Kumar, AP, Baaheedharan

Brake Judder Resolution through Experimental Testing

2026-26-05871/16/2026

Brake judder is a critical concern in modern automotive systems, impacting both vehicle performance and passenger comfort. This phenomenon manifests as undesirable vibrations during braking, often caused by various factors such as vehicle architecture, different wheelbase, brake design considerations, load distribution, suspension characteristics etc. These vibrations not only compromise braking efficiency but also affect the overall driving experience, making it a priority issue for automotive engineers and researchers. This paper investigates the root causes of brake judder in a M3 Bus category vehicle having pneumatic brake system, focusing on its mechanical aspects and operational dynamics. By employing a combination of experimental testing and analytical evaluations, the study delves into the influence of brake torque generation and its consumption during vehicle deceleration for different wheelbase vehicles having similar brake system, revealing discrepancies that contribute to

Mundkar, Rameshwar, Shete, Rahul, Nayak, Nihar, Gavade, Sarjerao

Tailgate Stiffness Mitigation and Engineering Strategy for Y-to-Y Tailgate-Mounted Tail Lamp Integration

2026-26-04941/16/2026

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

Comparative Analysis and Implementation of data streaming methodologies for Vehicle Navigation Mode for Electric Trucks

2026-26-06921/16/2026

In the realm of electric truck logistics, optimizing route planning is essential. This paper presents a key navigation feature for analyzing such optimized routes. Integrating map features into the drive mode improves user experience by offering real-time navigation and dynamic route adjustments based on traffic updates, road closures, and vehicle coordinates. This study compares the performance of Server sent events(SSE), web sockets and API polling methodologies, focusing on metrics such as data transmission efficiency, latency, resource utilization, scalability, and reliability. Our findings demonstrate the advantages and limitations of each method, providing insights into their suitability for real-time route optimization in electric truck logistics. The results highlight the potential of SSE in achieving efficient and timely data updates, contributing to more effective route planning and resource management. Additionally, we discuss how API Polling, Web sockets, and SSE each make

Bhandari, Mehul, Kaur, Prabhjot, DADOO, VISHAL, Mahendrakar, Shrinidhi, Ramanaiah, Rachala

Lightweight Cascade Design Using Type IV Cylinders for Efficient Hydrogen Gas Logistics in India

2026-26-04851/16/2026

Hydrogen mobility in India faces a key challenge in the form of high transportation and logistics costs, particularly in tier-II and tier-III cities where dedicated pipelines are not yet feasible. Current methods using traditional steel based cascades are heavy, inefficient, and limit payload capacity. This paper presents a novel lightweight cascade system designed to enhance the efficiency of hydrogen gas logistics using Type IV composite cylinders and an aluminium structural frame. The design adheres to PESO (Petroleum and Explosives Safety Organisation) standards and achieves a structural weight reduction of 52%, owing to the use of carbon fibre composite cylinders and aluminium framework. Field level analysis demonstrates that the gas transport efficiency is improved by a factor of 2.5 compared to conventional steel based systems when used in heavy duty trucks. This innovation offers a significant step forward in enabling economically viable hydrogen distribution for mobility

Parasumanna, Ajeet Babu, Muthusamy, Hariprasad, Ammu, VNSU Viswanath, Kola, Immanuel Raju

EV Battery Evolution in India: Challenges, Innovation, and Policy Synergy

2026-26-01741/16/2026

In the pursuit of sustainable transportation and energy security, India is placing increased focus on addressing the multifaceted challenges associated with electric vehicle (EV) battery technology. As a cornerstone of EV performance and adoption, battery systems in India face critical issues such as high import dependency, limited local manufacturing capabilities, cost inefficiencies, safety concerns, and lack of standardized design frameworks. This paper presents a comprehensive analysis of India's evolving battery ecosystem, emphasizing indigenous design, development, and scalable in-house manufacturing under the "Make in India" initiative. It examines supportive government policies, strategic public-private partnerships, and the pivotal role of research institutions in fostering innovation and overcoming original equipment manufacturers' (OEMs) and end-users' concerns. It also focus on prototype product development challenges. Through detailed case studies, technological reviews

Thorat, Jalindar Sukhadev, Sandhu, Jivraj Singh, Kumar, Dharmendra

Tool, Stripper, Electrical Insulation, General Specification For

AS5768A (Current)

11/26/2025

This specification covers design requirements, performance requirements, and methods of procurement for tools and associated accessories used to strip aerospace vehicle electrical wire and cable. Aerospace vehicle electrical wire has stranded conductors with protective plating and specialized insulation. Poor quality wire strippers or mismatched blades can compromise the performance of wiring.

AE-8C2 Terminating Devices and Tooling Committee

Counterfeit Materiel; Assuring Acquisition of Authentic and Conforming Materiel - Bearings

AS6834 (Current)

11/26/2025

This document standardizes requirements for bearings: (a) supply chain management, procurement, inspection, parts management, and test/evaluation to assure the authenticity of bearings being acquired/used, and (b) response strategies when suspect or confirmed counterfeit bearings are discovered. Though developed primarily for critical application bearings, the document also may be applicable, at the discretion of the user, to other bearings with similar characteristics and applications. The bearings slash sheet is not intended to replace, conflict with, or duplicate requirements in quality system or AMS series material specs but rather to augment them with regards to counterfeit prevention and risk mitigation.

G-21 Counterfeit Materiel Committee

Standardized composite training program

AIR6671 (Current)

11/26/2025

SAE CACRC has produced several standards, each representing the best-practice, recommended minimum training syllabus for the aforementioned target groups. The purpose of this document is to promote the use of these SAE standards, particularly for developing training programs for employee training, qualification in airlines and maintenance organizations, and as reference in regulatory guidance material. It summarizes, as a quick reference, the content of each training document and its relation to and interaction with other training documents. Thereby it allows users to select the appropriate training documents and syllabi to establish a comprehensive, sequential training program build-up customized to the specific needs of the aforementioned functions (see figure). This document does not intend to introduce new training content/syllabus.

AMS CACRC Commercial Aircraft Composite Repair Committee

Bearing, Plain, Self-Aligning, PTFE Lined, Narrow

AS21233B (Current)

11/26/2025

No scope available.

ACBG Plain Bearing Committee

Bearing, Plain, Self-Aligning, Grooved Outer Ringer PTFE Lined, Wide

AS21230B (Current)

11/26/2025

No scope available.

ACBG Plain Bearing Committee

SAE No. 2 Friction Test Machine 6000 rpm Stepped Power Test

J2488_202511 (Current)

11/25/2025

This SAE Recommended Practice is intended as the definition of a standard test, but may be subject to frequent change to keep pace with experience and technical advances. This should be kept in mind when considering its use.The SAE No. 2 Friction Test Machine is used to evaluate the friction characteristics of automatic transmission plate clutches with automotive transmission fluids. It can also be used to conduct durability tests on wet friction systems.The specific purpose of this document is to define a 6000 rpm stepped power test for the evaluation of wet friction system performance variation as a function of power level. This procedure uses an initial engagement speed of 6000 rpm and is intended as a standard procedure for common use by both suppliers and end users.The only variables selected by the supplier or user of the friction system are:a. Friction materialb. Fluidc. Reaction platesThese three variables must be clearly identified when reporting the results of using this test

Automatic Transmission and Transaxle Committee

USCAR 11242025 Test

USCAR11242000000000000000000000-1 (Current)

11/24/2025

USCAR 11242025 Test

USCAR

SAE No. 2 Friction Test Machine 3600 rpm Stepped Power Test

J2487_202511 (Current)

11/21/2025

This SAE Recommended Practice is intended as the definition of a standard test, but may be subject to frequent change to keep pace with experience and technical advances. This should be kept in mind when considering its use.The SAE No. 2 Friction Test Machine is used to evaluate the friction characteristics of automatic transmission plate clutches with automotive transmission fluids. It can also be used to conduct durability tests on wet friction systems.The specific purpose of this document is to define a 3600 rpm Stepped Power Test for the evaluation of wet friction system performance variation as a function of power level. This procedure uses an initial engagement speed of 3600 rpm and is intended as a standard procedure for common use by both suppliers and end users.The only variables selected by the supplier or user of the friction system are:a. Friction Materialb. Fluidc. Reaction PlatesThese three variables must be clearly identified when reporting the results of using this test

Automatic Transmission and Transaxle Committee

Plating, Brush, Cadmium Corrosion Protective, Low Hydrogen Embrittlement

AMS2451/4E (Current)

11/10/2025

This specification establishes the requirements for brush plating of cadmium by electrodeposition.

AMS B Finishes Processes and Fluids Committee

Characterization of On-Board Vehicular Hydrogen Sensors

J3089_202510 (Current)

10/15/2025

This SAE Technical Information Report (TIR) provides test methods for evaluating hydrogen sensors when the hydrogen system integrator and/or vehicle manufacturer elect to use such devices on board their hydrogen vehicles, including hydrogen fuel cell electric vehicles (FCEV).The tests described in 5.1 of this document are performance-based and were developed to assess hydrogen sensor metrological parameters. These tests were designed to accommodate a wide range of environmental and operating conditions based on different possible situations and sensor implementations within the vehicle. Section 5.2 covers supplemental electrical safety and physical stress tests. These are based upon standard tests developed for qualifying electrical and other components for use on vehicles and do not explicitly pertain to gas sensor metrological performance assessment. Since the use of on-board hydrogen sensors is not standardized or mandated, their implementation can vary greatly from vehicle to

Fuel Cell Standards Committee

Edited before Publishing: CONNECTOR ACCESSORIES, ELECTRICAL, BACKSHELL, NONENVIRONMENTAL, STRAIGHT, SELF-LOCKING AND NON-SELF-LOCKING, CATEGORY 3B (FOR MIL-DTL-38999 SERIES I AND II CONNECTORS)

AS85049/27C (Current)

10/10/2025

Scope is unavailable.

AE-8C1 Connectors Committee

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