Browse Topic: Reliability

Items (3,504)
Find
Evaluating Volume and Hardness change in Fluorocarbon and Ethylene Propylene Rubber Elastomers: Effects of Fluid Aging2026-26-0758To be published on 06/01/2026
Abstract: This research paper investigates the performance of FKM (Fluorocarbon) seal material when exposed to a 50:50 ethylene glycol-water mixture. The study aims to determine the volume change percentage and Hardness change of FKM elastomers under standardized testing conditions. The experimental approach follows ASTM D471 and ASTM 2240 guidelines, focusing on weight and hardness measurements of the test samples to establish a success criterion. The results provide critical insights into the chemical compatibility and durability of FKM elastomers in Aerospace and industrial applications where ethylene glycol-water mixtures are commonly used. The findings contribute to enhanced material selection and design considerations for sealing applications subjected to glycol-based fluids. Samples of FKM material were immersed in the fluid at controlled temperatures and durations, simulating real-world operational conditions. The primary metric of interest, volume change percentage and
Yarolkar, Makrand, Patil, Sandip, Singh, Tanul
Vibration based methods for Non-destructive prediction of Buckling loads2026-26-0737To be published on 06/01/2026
Using vibration data for prediction of buckling loads have been proven effective for various geometries including rods, plates and shells. The Arbelo approach of the vibration correlation method is derived to improve the reliability of the prediction for cylindrical and spherical shell structures. In this work, a more simplified form of the Arbelo approach is proposed which has higher prediction accuracies of the buckling with lesser pre-load levels. A parameter called Stiffness Decay Index (SDI) is introduced as a measure of the stiffness degradation by normalizing the loaded natural frequency with respect to the unloaded state, offering an effective means of buckling prediction with improved accuracy and without causing any damage or permanent deformation to the structure. Numerical and experimental evaluations of the Stiffness Decay Index are carried out for various geometries. The advantages of using SDI in place of the Arbelo approach of the vibration correlation technique are
Rangarajan, Gopikrishna, V, Vishwajith, Raju, Gangadharan, Dinavahi, Ramkrishna
Assessment of Injection Gate Location effects on Mechanical Performance of Short Fiber Reinforced Plastic Components using Digimat2026-26-0746To be published on 06/01/2026
The mechanical performance of short fiber-reinforced plastic (SFRP) components is highly sensitive to fiber orientation, which is significantly influenced by the injection gate location during the molding process. Traditionally, gate placement decisions are driven by warpage minimization strategies, often overlooking mechanical performance under diverse load cases. This research introduces an automated workflow within Digimat-MS that integrates injection gate optimization into the early design phase, leveraging Integrated Computational Materials Engineering (ICME) principles. The proposed methodology enables engineers to upload either of Marc, Abaqus or Ansys input decks, select a component of interest, assign material cards, and define gate scenarios. A Design of Experiments (DOE) is then executed locally or remotely, allowing Digimat to simulate and evaluate multiple gate configurations. The system aggregates results and identifies optimal gate locations based on the initiation of
Kauthale, Tanmay, Madhavan, Vinay, Soni, Ganesh
Requirements for a COTS Assembly Management PlanEIA933D (Current)4/19/2026
This document applies to the development of Plans for integrating and managing COTS assemblies in electronic equipment and Systems for the commercial, military, and space markets, as well as other ADHP markets that wish to use this document. For purposes of this document, COTS assemblies are viewed as electronic assemblies such as printed wiring assemblies, disk drives, servers, printers, laptop computers, etc. There are many ways to categorize COTS assemblies1, including the following spectrum: At one end of the spectrum are COTS assemblies whose design, internal parts2, materials, configuration control, traceability, reliability, and qualification methods are at least partially controlled, or influenced, by ADHP customers (either individually or collectively) or by industry standards. An example at this end of the spectrum is a VME circuit card assembly. At the other end of the spectrum are COTS assemblies whose design, internal parts, materials, configuration control, and
APMC Avionics Process Management
Self-Supervised Gaussian-Based Framework for Robust Static-Dynamic Decomposition and Real-Time Urban Scene Reconstruction2026-01-00104/7/2026
High-fidelity 3D reconstruction of large-scale urban scenes is critical for autonomous driving perception and simulation. Existing neural rendering methods, including NeRF and Gaussian-based variants, often face challenges like unstable geometry, noisy motion segmentation, and poor performance under sparse viewpoints or varying illumination. This paper presents a self-supervised Gaussian-based framework to address these challenges, enabling robust static–dynamic decomposition and real-time scene reconstruction. The proposed method introduces three innovations: (1) a semantic–geometric feature fusion module that combines semantic context and geometric cues for reliable motion prior estimation; (2) a cross-sequence geometric consistency constraint that enforces depth and surface continuity across time and viewpoints; (3) an efficient Gaussian parameter optimization strategy that stabilizes geometry by jointly constraining scale and normal updates. Experiments on the Waymo Open Dataset
Feng, Runlei, Wang, Ning, Zhang, Zhihao
Optimizing Joint Efficiency in Stainless Steel-Aluminum Alloy FSW Joints through Advanced Parameter Control2026-01-02284/7/2026
The present study investigates optimization of ultimate tensile strength (UTS) in FSW of AA2024-T3 and SS304 in a butt joint configuration. An L18 mixed-level orthogonal array was used to design 18 experiments, varying tool rotational speed (450, 560, and 710 rpm), traverse speed (20, 25, and 40 mm/min), and pin offset (1 and 1.5 mm toward the Al side). The tool rotational speed had the greatest influence on UTS, contributing nearly one-third of the total variance, followed by pin offset and traverse speed. The optimal combination, 450 rpm, 20 mm/min, 1.5 mm offset, yielded a UTS of 344.7 MPa and a joint efficiency of 78.3%. At this setting, peak temperatures reached ~356 °C, ensuring sufficient plasticization and uniform mixing of the Al–SS interface, producing a refined stir zone with an average grain size of 4.2 μm. Fracture analysis revealed ductile failure at the optimal parameters, whereas suboptimal conditions resulted in brittle or mixed fractures due to either insufficient or
Mir, Fayaz Ahmad, Khan, Noor Zaman, Pali, Harveer Singh
Enhancing LiDAR Performance under Fog with Adaptive Multi-Echo and Feature-Based Filtering2026-01-00114/7/2026
LiDAR (Light Detection and Ranging) systems are essential for autonomous driving (AD) and advanced driver-assistance systems (ADAS), providing accurate 3D perception of the surrounding environment. However, their performance significantly deteriorates under adverse weather conditions such as fog, where laser pulses are scattered by airborne particles, resulting in substantial noise and reduced ranging accuracy. This scattering effect makes it difficult to detect objects within or behind particulate matter, posing a serious challenge for reliable perception in real-world driving scenarios. To address this issue, we propose an algorithm that combines adaptive multi-echo signal processing with a feature-integrated, rule-based denoising framework to enhance LiDAR performance in noisy environments. The multi-echo approach selectively utilizes meaningful signal returns by evaluating both intensity and relative echo positions. Based on predefined rules, the algorithm identifies the echo most
Kaito, Seiya, Zheng, Shengchao, Fujioka, Ibuki, Beppu, Taro
Mathematical Modeling of Trust Calibration for Human–Automation Safety2026-01-05304/7/2026
Trust calibration is vital for safe human–automation interaction but remains largely qualitative. This study develops multiple quantitative frameworks modeling trust as a function of automation reliability. Four progressive models of binary, linear, triangular, and logistic formalize the calibrated trust zone, defining where human reliance aligns with system performance. The framework corrects major misconceptions: that trust is purely qualitative, that low trust–low reliability states are acceptable, and that overtrust and distrust pose equal risk. It establishes a minimum reliability threshold for meaningful trust and identifies distrust as the safer default in high-risk contexts. A case study on an empirical observation of 32 AI applications plotted in the trust–reliability space confirms the analysis, revealing a consistent distrust tendency where reliability exceeds user confidence and other observations. By quantifying trust through reliability, the study reframes it as a
Wen, He, Mounir, Adil
Application of Reliability Growth Methods in Conjunction with Design for Reliability Framework to Validate Heavy Truck Design2026-01-01374/7/2026
Why field campaigns in the automotive industry have been going up over the years despite the strong development of technical knowledge, computational design tools and techniques to secure higher reliability standards since early stages of development phases? Uncertainties created by product complexity have been a factor that affects the ability of the manufacturers to prevent design failures before the product launch. Another factor is the shorter product development time, less test time to validate the product means that the new design will not have enough exposure to the real truck application and so some failures may not be able to be detected during the project. To deal effectively with uncertainties this study shows an application of reliability growth techniques in conjunction with DfR- Design for Reliability framework to validate the truck design in the customer application. The Crow - AMSAA method is applied to measure the reliability growth of the complete vehicle in various
Coitinho, Marcos
An Updated Correlation Study between the Full-Size Wind Tunnels of General Motors, Ford Motor Company, and FCA US LLC2026-01-06124/7/2026
As automotive aerodynamic testing facilities evolve to capture more real-world behavior, updating the correlation between old and new technologies is essential. Recently, the three-member consortium of the United States Council for Automotive Research (USCAR) - General Motors, Ford Motor Company, and FCA US LLC - transitioned from full-size static ground plane facilities to 5-belt moving ground plane wind tunnel facilities. The primary objective of this study was to update the correlation data sets to maintain consistent and robust data sharing among companies, which is the cornerstone of USCAR efforts. To achieve this, a set of updated correlation data sets were calculated to replace the original correlation study results from 2008. Additionally, the methodology for applying correlation equations was revised from using averaged wind tunnel data to employing direct wind tunnel-to-wind tunnel correlation equations. In a two-phase correlation effort conducted in 2022 and 2025, the three
Nastov, Alexander, Lounsberry, Todd, Madin, Trevor, Langmeyer, Gregory, Fadler, Gregory, Skinner, Shaun, Horton, Damien
Minimal Binary Patching for Safety-Critical Systems2026-01-00884/7/2026
Patching vulnerabilities in safety-critical domains such as automotive and aerospace is costly and complex. A small code modification can trigger a complete rebuild, producing a binary with widespread changes. This inflates patch size, complicates regression testing, and makes over-the-air (OTA) updates inefficient, as traditional binary patches often replace large portions of the executable. We present a binary rewriting–based experiment that shows the feasibility of a patch that updates only the affected bytes by computing the impact of a code change at the binary level. This produces minimal, localized patches rather than regenerated executables. The preliminary experiment shows that a single source change, which leads to thousands of modified bytes after recompilation, can be captured with only a few bytes using our method. For automotive and aerospace systems, this technique reduces patch size, conserves bandwidth, and minimizes disruption to certified software, offering a
Awadhutkar, Payas, Sauceda, Jeremias, Tamrawi, Ahmed
Numerical Framework for Predicting Power Loss and Oil Flow Dynamics in Dip-Lubricated Gear Systems2026-01-04114/7/2026
Oil churning and windage power losses in dip-lubricated gearboxes can significantly affect overall transmission efficiency, particularly at high rotational speeds. As modern gearbox systems are pushed toward higher efficiency and reliability, understanding and predicting these losses becomes increasingly important. In addition to energy dissipation, the associated multiphase flow phenomena—such as oil splashing, thin film formation along gear surfaces, and aeration of the sump—strongly influence lubrication effectiveness, heat transfer, and component durability. Capturing these effects requires a robust numerical strategy that can resolve both power loss mechanisms and multiphase flow dynamics with sufficient accuracy. In this study, a single spur gear is numerically analyzed under varying oil depths and rotational speeds to quantify total power loss and investigate oil flow patterns. The computational approach employs a volume-of-fluid multiphase framework, and the predictions are
Mahyawansi, Pratik J., Haria, Hiral, Pandey, Ashutosh, Khajeh Hosseini D, Navvab
Aerospace & Defense Technology: March 202626AERD033/5/2026
Dassault Systèmes and NVIDIA Partner to Build Industrial AI Platform Powering Virtual Twins RISC-V: Bringing Greater Reliability, Safety, and Security to Military and Aerospace Systems The Enduring Value of Highly Optimized, Non-Standardized Systems Manufacturing Spotlight: Rugged Computing for Infinite Exploration Open Mission Systems: The Standard Driving Defense Innovation New CMOSS Chassis, Plug-in-Card Prototypes in Development for Army Vehicles How Forterra Is Enabling Modular Military Vehicle Autonomy Microchip’s New Processor Enables Scalable Computing Performance In-Memory Computing Chip Is a Processing Breakthrough for On-Device AI Applications
RISC-V: Bringing Greater Reliability, Safety, and Security to Military and Aerospace Systems26AERD03_023/1/2026
Military and aerospace applications have become increasingly complex real-time systems. Multi-core SoCs improve performance but create new challenges in maintaining and verifying deterministic behavior. Connected systems require exceptional security to protect code from external cyberattacks. Evolving functional safety and reliability standards that keep raising the bar mean developers need to begin comprehensive testing sooner if they are going to meet tighter design schedules. Finally, certifying these complex systems has become even more difficult. To help OEMs meet these challenges, the RISC-V architecture has been designed with unique capabilities that support reliability and security in the development of safety-critical applications. With its open instruction set architecture, modularity, and extensibility, RISC-V accelerates the design of functionally safe systems while reducing the complexity, cost, and risk associated with certification to standards like DO-178C and ISO 26262
Business Reliability Growth for Automotive Engineering, Volume 4R-5522/17/2026
In a world where every business process is under pressure to perform faster, safer, and more reliably, this book delivers a powerful roadmap for sustained operational excellence. Centered on the proven methodology of Design of Experiments (DOE), it shows how organizations can move beyond reactive problem-solving to systematic reliability growth. From well-defined standard operating practices to management-level decision-making, the book connects strategy, data, and execution to create repeatable, measurable results across the enterprise. Readers are guided through practical, real-world applications of DOE, from selecting the right factors and levels to executing robust experiments, analyzing outcomes, validating solutions, and continuously monitoring performance. Each chapter translates complex statistical and engineering concepts into actionable business value, helping teams improve quality, reduce waste, and increase return on investment. Key capabilities explored in this book
Chiang, Young J.
Dual use Electric Vehicle Infrastructure for Enhancing Grid Resilience and Urban Sustainability2026-28-01142/12/2026
The growing global adoption of electric vehicles (EVs) has resulted in a spike in the number of EV charging stations. As EVs have become more and more popular worldwide, a large number of EV charging stations are opening up to accommodate their demands. During grid failures, an EV charging station can also serve as a flexible load connected to the grid to balance out voltage fluctuations. An EV charging station when powered using a separate source, such as solar or wind, can function as a powerhouse, bringing electricity to the grid when it's needed. Therefore, instead of installing more equipment to sustain voltage, the current EV charging station can be efficiently used to meet the grid's needs during failures. These stations have the potential to be dynamic, grid-connected assets for sustainable cities and communities in addition to their core function of vehicle charging (SDG 11). Because of their dual purpose, they can serve as adaptable loads that reduce voltage variations during
R, Uthra, Rangarajan, Ravi, D, Suchitra, D, Anitha
A Data-Driven Method for Typical Landing Gear Structure Optimization Based on Neural Networks01-19-01-00022/6/2026
The landing gear, as a crucial component of an aircraft, is pivotal for maintaining the safety and reliability of air travel. This study introduces a data-driven structural optimization method aimed at mitigating the peak strain on the landing gear’s rocker arm. The initial phase involves selecting nine design variables for parametric modeling to generate an initial dataset. Subsequently, the Maximum Information Coefficient (MIC) technique is used to conduct a parameter sensitivity analysis, enabling the identification and elimination of variables with minimal influence. A comparative analysis between the Genetic Algorithm–Backpropagation Neural Network (GA-BPNN) and BPNN reveals that GA-BPNN has a superior fitting capability on the enhanced dataset. By applying Particle Swarm Optimization (PSO), the optimal solution for GA-BPNN is identified. The implementation of this optimized method results in a 38.16% reduction in peak strain, validating its feasibility and reliability in
Chen, Hu, Shi, Shi, Wang, Meng, Fang, Xingbo, Wei, Xiaohui, Nie, Hong
The Critical Impact Of SAE Aerospace Standards: Certified AS1895/7 and /23 Metal Seals26AERP02_092/1/2026
How engineers can ensure safety, reliability and quality in aerospace systems. Courbevoie, Île-de-France In an industry where failure is not an option and precision is paramount, aerospace manufacturers and suppliers are constantly seeking components and system solutions that deliver trusted reliability, performance, and compliance. Industry standards are a key part of achieving these high expectations, bringing together global leaders in the mobility industries to create defined, repeatable methods and consistent processes. One of these aerospace standards is AS1895 developed by SAE International - a critical standard due to the need for durable components that can withstand extreme conditions and offer high performance: high-temperature resistance, pressure sealing, and long service life with a cost-effective installation method. Leading aerospace companies such as Eaton and Honeywell have been manufacturing components that meet this standard for a long period of time.
Accelerating Product Development Life Cycle through Digitalization of Fatigue Life for Structural Components2026-26-04961/16/2026
In today’s market, faster product development without compromising durability is essential. Durability assessment ensures a vehicle maintains structural integrity under normal and extreme conditions. Achieving this requires effective Road Load Data Acquisition, 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. This study presents a full digital methodology of fatigue life estimation for suspension aggregates. A study has been demonstrated on Rear Twist Beam component of rear suspension. The approach integrates the digital RLDA methodology presented in literature and finite element analysis simulation process, enabling durability assessments entirely within the virtual domain. This approach demonstrates how digital RLDA
Kokare, Sanjay, Dwivedi, Sushil, Siddiqui, Arshad, Iqbal, Shoaib
Digital Control of Synchronous Rectification and Dead Time Configuration for Improving Efficiency and Longevity of DC Motors2026-26-00891/16/2026
This paper elucidates the implementation of software-controlled synchronous rectification and dead time configuration for bi-directional controlled DC motors. These motors are extensively utilized in applications such as robotics and automotive systems to prolong their operational lifespan. Synchronous rectification mitigates large current spikes in the H-bridge, reducing conduction losses and improving efficiency [1]. Dead time configuration prevents shoot-through conditions, enhancing motor efficiency and longevity. Experimental results demonstrate significant improvements in motor performance, including reduced thermal stress, decreased power consumption, and increased reliability [2]. The reduction in power consumption helps to minimize thermal stress, thereby enhancing the overall efficiency and longevity of the motor.
Patil, Vinod, Kulkarni, Malhar, Soni, Asheesh Kumar
A Machine Learning Approach to Early-Stage Failure Prediction in Traction Motor Manufacturing2026-26-02811/16/2026
Traction motors technology has, driving the EV industry forward with more efficient, lightweight, and durable solutions. However, despite these advancements, noise testing at the end of the production line remains a critical stage for identifying manufacturing defects in traction motors. Hence early fault detection in traction motors is crucial to ensure safety and reliability of EV. This research contributes a solution that predicts early-fault detection, supporting improved reliability, reduced material cost and minimizing process time in the series production line. To identify the root cause of this problem, historical quality data has been acquired from manufacturing plants to enable efficient analysis. Feature selection was then carried out using embedded and wrapper methods to identify the most important features. These selected features were subsequently used as input for ML models. The best accuracy was achieved using SVC model for early-stage motor failure prediction.
Gaikwad, Pooja, Nangare, Kapilraj, Suryawanshi, Chaitanya
Reliability of Rubber Grommets by Stochastic Analysis of Geometric Tolerances2026-26-05011/16/2026
Manufacturing tolerances play a critical role in the quality and functionality of components, particularly those made from rubber. Even slight deviations in dimensions can cause significant issues such as improper fit and reduced performance, leading to increased costs and project delays. This is especially true for rubber grommets, which are nonlinear elastic components commonly used as sealants, gaskets, and insulation covers in automotive and industrial applications. Typically manufactured from EPDM rubber with varying Shore hardness, grommets must maintain precise geometry to ensure sealing integrity and protect adjacent parts. Dimensional inaccuracies can result in failures such as buckling or misalignment, compromising both functionality and durability. This study proposes a digital simulation methodology for early-stage evaluation of grommet robustness, reducing reliance on physical prototypes. Using a stochastic design of experiments (DOE) approach, the influence of critical
Beesetti, Siva, Hattarke, Mallikarjun, James Aricatt, John, Pathan, Eram
Enhanced Methodologies for Predicting Automotive Wheel Bearing Life and Damage Using RLDA2026-26-04821/16/2026
The durability of wheel bearings is assessed in terms of raceway life and flange life. Raceway life focuses on the performance and damage tolerance of rolling elements, while flange life evaluates the structural integrity of wheel flanges under operational stresses. Traditionally, durability predictions relied on conventional design methods and analytic formulas for raceway spalling, as well as static load assumptions for flange fatigue analysis. Recently, integrating design of experiments (DOE) with traditional approaches has enhanced these methods, enabling systematic evaluation of design variables and loading conditions. This paper introduces a methodology for analyzing 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
Map-Less Yet Accurate: Trajectory Prediction for Traffic Agents Using Online HD Map Reconstruction for Autonomous Driving2026-26-00391/16/2026
Accurate trajectory prediction of traffic agents is critical for enabling safer and more reliable autonomous driving, particularly in urban driving scenarios where close-range interactions are most safety critical. High-definition (HD) and standard-definition (SD) maps play a vital role in this process by providing lane topology and directional cues for forecasting agent movements. However, HD maps are expensive and resource-intensive to create, often requiring specialized sensors, while SD maps lack the precision needed for reliable autonomous navigation. To address this, we propose a novel framework for trajectory prediction that leverages online reconstruction of HD maps using vehicle-mounted cameras, offering a scalable and cost-effective alternative. Our method achieves improvements in predicting accuracy, particularly in close-range scenarios, the most crucial for urban driving, while also performing robustly in settings without pre-built maps. Furthermore, we introduce a new
Upreti, Minali, Girijal, Rahul, B A, NaveenKumar, Thontepu, Phani, Ghosh, Shankhanil, Chakraborty, Bodhisattwa, Bhardwaj, Ritik
Comparative Analysis and Implementation of Data Streaming Methodologies for Vehicle Navigation Mode for Electric Trucks2026-26-06921/16/2026
As electric trucks become more central to modern logistics, the need for smarter, more adaptive route planning is growing rapidly. This paper presents a key navigation feature for analyzing and recalibrating such optimized routes in real time. Integrating map features into the navigation mode improves user experience by offering real-time navigation and dynamic route adjustments based on traffic updates, road closures, vehicle coordinates and deviation in expected energy consumption. This study compares the performance of Server sent events (SSE), web sockets, and Application programming interface (API) polling methodologies, focusing on metrics such as data transmission efficiency, latency, resource utilization, scalability, and reliability. Our results 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
Bhandari, Mehul, Kaur, Prabhjot, Dadoo, Vishal, Mahendrakar, Shrinidhi, Ramanaiah, Rachala
Resilient Design Strategies for Wireless Charger ECUs: A Proactive Threat Analysis and Risk Assessment Framework for Ensuring Cybersecurity in EV Charging Ecosystems2026-26-01731/16/2026
The proliferation of wireless charging technology in electric vehicles (EVs) introduces novel cybersecurity challenges that require comprehensive threat analysis and resilient design strategies. This paper presents a proactive framework for assessing and mitigating cybersecurity risks in wireless charger Electronic Control Units (ECUs), addressing the unique vulnerabilities inherent in electromagnetic power transfer systems. Through systematic threat modeling, vulnerability assessment, and the development of defense-in-depth strategies, this research establishes design principles for creating robust wireless charging ecosystems resistant to cyber threats. The proposed framework integrates hardware security modules, encrypted communication protocols, and adaptive threat detection mechanisms to ensure operational integrity while maintaining charging efficiency. Experimental validation demonstrates the effectiveness of the proposed security measures in preventing unauthorized access, data
Uthaman, Sreekumar, Mulay, Abhijit B, Gadekar, Pundlik
Durability Validation of Full Vehicle Structures Using Strain Correlation and RLDA-Based Simulations2026-26-05231/16/2026
Durability validation of full vehicle structures is crucial to ensure long-term performance and structural integrity under real-world loading conditions. Physical test strain and finite element (FE) strain correlation is vital for accurate fatigue damage predictions. During torture track testing of the prototype vehicle, wheel center loads were measured using wheel force transducers (WFTs). In same prototype strain time histories were recorded at critical structural locations using strain gauges. Preliminary FE analysis was carried out to find out critical stress locations, which provided the basis for placement of strain gauges. Measured loads at wheel centers were then used in Multi Body Dynamics (MBD) simulations to calculate the loads at all suspension mount points on BIW. Using the loads at hard points transient analyses were performed to find out structural stress response. Strain outputs from the FE model were compared with physical measurements. Insights gained from these
Jaju, Mayur, Dokhale, Sandeep, Gadre, Nilesh, Patil, Sanjay
Lightweight AI Deployment for Legacy Automotive ECUs: A Practical Optimization Approach2026-26-06631/16/2026
Automotive systems are increasingly 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 John
J1939 Digital AnnexJ1939DA_202601 (Historical)1/13/2026
This document is intended to supplement the J1939 documents by offering the J1939 information in a form that can be sorted and searched for easier use.
Truck and Bus Control and Communications Network Committee
Enhancing Signal Integrity and Security in Aerospace: RF-Over-Fiber Optics Hybrid Communications TechnologyTBMG-544351/1/2026
Without reliability and signal integrity, aerospace communications risk severe signal degradation and reduced security, posing risks to both personnel and mission-critical data. These challenges are particularly critical for applications that depend on military aircraft, satellite communications, and unmanned aerial vehicles (UAVs). As global demand for real-time data continues to surge, communication infrastructure requires regular maintenance and upgrades to maintain secure and reliable performance.
Failure Mode and Effects Analysis (FMEA) Includes Criticality Analysis and Design, Supportability, Software, and Process FMEASAE1025 (Current)12/24/2025
FMEA is a systematic approach aimed at identifying and mitigating potential risks in the design, manufacture, and maintenance of a product. Implementing FMEA provides a range of benefits, such as: Preventing potential failures early in the life cycle. Identifying risk - establishing clear linkages ensures that no potential failure mode is overlooked across the life cycle of the product. Improving product safety, reliability, performance, and supportability. Enhancing collaboration - the framework fosters cross-functional communication, enabling design, manufacturing, and maintenance teams to work in harmony. Achieving effectiveness - by integrating analyses and plans, organizations can streamline workflows and reduce redundancies. Reducing costs associated with product failures. Enhancing customer satisfaction through consistent quality and reliability. Improving product quality - comprehensive linkage reduces errors and ensures a robust design and manufacturing process. Providing the
G-41 Reliability
Technical management: Focus Matrix Methodology Applied to the 2° GEN of Bosch Flex Fuel Pump2025-36-005212/18/2025
Reliability and performance are critical for product success in engineering. With this aim, the Focus Matrix is a strategic tool designed to enhance the development process by effectively managing technical requirements and prioritizing resources. This paper outlines the application of the Focus Matrix in product development to organize technical packages based on complexity and the technical expertise of the project team. The methodology will be illustrated through a case study on the second-generation Flex Fuel (EVO) fuel pump developed by Bosch. The Fuel pump is responsible for delivering fuel to the engine while maintaining optimal pressure and flow rate. Transitioning to a second generation of a fuel pump focuses on optimizing performance to keep the product relevant in the market, necessitating a thorough analysis of lessons learned and current technological trends. Throughout the development phase, the Focus Matrix provided a structured approach for identifying and mitigating
de Souza, Ana Laura Lima, de Oliveira Melo, Lazaro Benedito, Aguiar, Rayssa Moreno Silva, Azevedo Fernandes, Luiz Eduardo de, Boa, Nathan Barroso Fonte
Advanced Geological Prediction and Monitoring Measurement for Tunnels in Water-Rich Sections Near Reservoir Areas2025-99-032912/17/2025
In order to ensure the construction safety of tunnels in water-rich sections near reservoir areas, it is very important to adopt comprehensive and reliable advanced geological prediction technology combined with on-site monitoring and measurement. Taking the Chenlingding tunnel as an example, through the comprehensive geological prediction of the broken rock section near the reservoir, the numerical model of the broken rock section was established, and compared with the field measurement data. The results show that the comprehensive advanced geological prediction system combining short, medium and long distances, such as geological radar, seismic wave reflection method and advanced horizontal drilling, has high accuracy in adverse geology, rock fragmentation and water rich conditions in the tunnel; The rich water condition, fault information and rock engineering geology provided by the advanced geological prediction can provide reliable guarantee for the tunnel excavation scheme, the
Dai, Yunfei, Feng, Meijie, Liu, Dacheng, Tang, Xianyuan
Research on Risk Analysis of Emergencies in Heavy-Haul Railway Operations Based on Knowledge Graph2025-99-034712/17/2025
Heavy-haul railways are a critical component of China’s dedicated freight rail network, serving as the primary land transport channel for energy and resource intermodal transportation. Their safe operation and transportation is essential for ensuring the reliable delivery of energy and raw materials. Taking the Shuohuang Heavy-haul Railway as a case study, based on the hazards identified across its entire operational chain, an ontology model structured as "professional module–task–process–hazard–risk attribute–management object" is constructed in this paper. Based on this model, a knowledge graph for heavy-haul railway operational emergencies is established. The study analyzes the connectivity between different nodes (e.g., work processes and hazards) in the knowledge graph and their potential relationships with risk values. Using directed graph-based degree centrality analysis, a risk assessment method incorporating node centrality is proposed. Risk values are computed at both the
Fu, Liqiang, Ren, Xiaolin, Rong, Lifan
Study on the Effect of Frequency-Modulated Rail Damper on Rail Vibration2025-99-032212/17/2025
To delay the formation and development of local periodic fluctuations on the surface of rail structures and improve the durability of rail facilities, the dynamic response and wheel-rail interaction of rail structures were studied in depth based on frequency-modulated rail dampers (TRDs). A fully-coupled 3-D FE framework of the wheel–rail assembly, integrating frequency-modulated rail dampers (TRDs), was developed to quantify vibration energy dissipation. Simulated decay curves revealed a marked rise (> 50 %) in lateral damping efficiency within 600–1 000 Hz, confirming TRD’s targeted suppression of rail transverse motion. Then, the suppression effect of rail corrugation after TRD installation was tested, and the data collection was carried out in the test section to calculate the frequency of rail corrugation. It was found that the possibility of corrugation deterioration of the rail structure was greatly reduced after the installation of the rail damper, and the suppression effect of
Li, Chengshun, Lei, Zhenyu
Research on Optimization Method for Railway Route Schemes in the Western Mountainous Area Considering the “Dual-Carbon” Strategy2025-99-030412/17/2025
Building a green and ecological railway transportation system that incorporates the “Dual-Carbon” Strategy is a central focus and challenge in current industry research. In the western mountainous regions with complex engineering geological conditions and fragile ecosystems, it is particularly important to explore the optimal railway route under the framework of the “Dual-Carbon” strategy. By analyzing the characteristics of the geographic environment of the western mountainous areas and the trend of low-carbon railroad construction, and referring to the relevant principles of railroad line selection, the method of quantifying the carbon emissions during the construction phase of the railroad and the carbon sequestration capacity of the land lost as a result of the railroad project’s land occupation is proposed by selecting 23 indicators from the five aspects of engineering adaptability, low-carbon adaptability, economic adaptability, environmental adaptability, and social adaptability
Wang, Yibo
Manufacturing Reliability Growth for Automotive Engineering Volume IIIR-55112/11/2025
As the third installment in SAE International's DOE for Product Reliability Growth series, this volume explores the critical intersection of manufacturing processes, reliability, and profitability in automotive engineering. With a sharp focus on innovation, cost-efficiency, and customer satisfaction, this book demonstrates how design of experiments (DOE) methodologies can transform product quality through smarter manufacturing decisions. From structural assemblies to additive manufacturing, Volume III offers hands-on, data-driven guidance for engineers and professionals. Key topics include: • Structural Joints: Analyze and optimize bonded and mechanical joints-bolts, rivets, welds, adhesives, and more-using real-world DOE case studies to ensure robust assembly. • Mechanical Fabrication: Improve precision and consistency in processes like injection molding, drilling, heat treatment, and surface finishing through targeted DOE applications. • Electronic Fabrication: Harness DOE to enhance
Chiang, Young J.
Dynamic Graph Convolutional Recurrent Networks Based on Progressive Learning2025-99-044112/10/2025
Traffic flow prediction is the core challenge of transportation, and its key lies in effectively capturing the spatio-temporal dynamic dependencies. Aiming at the deficiencies of existing methods in modeling global temporal relations and dynamic spatial heterogeneity, this paper proposes a dynamic graph convolutional recurrent network (DGCRN) based on interactive progressive learning. First, the interactive progressive learning module (IPL) is designed to segment the input sequences through a tree structure, synchronize the extraction of spatiotemporal features using the interactive learning of parity subsequences, and adaptively capture the dynamic associations among nodes by combining with the dynamic graph convolutional recursive module (DGCRM). Secondly, a spatio-temporal embedding generator (STEG) is constructed to fuse temporal and spatial embedding to generate dynamic graph structures. Experiments validate the effectiveness of DGCRN on the PEMS04 and PEMS08 datasets with MAE
Su, Jiangfeng, Xie, Zilong, Liu, Chunya, He, Lan, Kou, Yujiao, Xue, Xue
Dynamic Resource Allocation and Redundancy Optimization for AFDX Networks2025-99-043312/10/2025
With the continuous development of avionics systems towards greater integration and modularization, traditional aircraft buses such as ARINC 429 and MIL-STD-1553B are increasingly facing challenges in meeting the demanding requirements of next-generation avionics systems. These traditional buses struggle to provide sufficient bandwidth efficiency, real-time performance, and scalability for modern avionics applications. In response to these limitations, AFDX (Avionics Full-Duplex Switched Ethernet), a deterministic network architecture based on the ARINC 664 standard, has emerged as a critical solution for enabling high-speed data communication in avionics systems. The AFDX architecture offers several advantages, including a dual-redundant network topology, a Virtual Link (VL) isolation mechanism, and well-defined bandwidth allocation strategies, all of which contribute to its robustness and reliability. However, with the increasing complexity of onboard networks and multi-tasking
Yang, Lei, Yang, Youzhi, Wang, Zhaoyi, Chang, An, Zhang, Xin, Lin, Zi
Automation: How Custom Motion Control Transforms Medical Equipment DesignTBMG-5434012/1/2025
In today’s medical equipment market, reliability is not a luxury — it is a necessity. Every adjustment, every movement, and every interaction with the equipment must be performed flawlessly to ensure patient safety, caregiver efficiency, and long-term service life. Behind this design and precision are highly engineered motion control components, such as gas springs, electric linear actuators, and dampers, that ensure safe, ergonomic operation of medical equipment across a wide range of healthcare applications.
Development of an Accelerated Stress Test for Fuel Cell Freeze Start Durability Validation Using Real-World Driving Data of Light-Duty FCEVs2025-01-052611/25/2025
The reliability and durability of vehicles are crucial for the acceptance of new technologies by customers. Realistic test methods are necessary to validate or ensure the lifespan of vehicles and their components, particularly regarding specific conditions such as freeze start. This article provides an overview of the current state of research on the effects of freeze starts on the degradation of fuel cells. With this knowledge, relevant operating and boundary conditions for potential damage of the fuel cell are identified (e.g. start temperature, duration in subzero operation, dehydration). The field data from the BMW demonstrator fleet of iX5 Hydrogen Next were analyzed to gain insights into realistic freeze start related stress to the fuel cells. The dynamics of heating rates and the influence of the operating strategy are best represented on a Fuel Cell System (FCS). An experimental setup for a stack centered test on a FCS was developed including a climatic chamber and a subzero
Schwarz, Markus, Albert, Albert, Eichel, Rüdiger-A.
Optimization System of E-commerce Logistics Distribution Path Based on Data Analysis2025-99-010811/11/2025
With the rapid development of e-commerce, the logistics industry also presents new features such as multi-level, integrated upstream-downstream operations, increasingly perfect service quality and low logistics costs. The exponential growth in online transactions and consumer expectations for faster, more reliable deliveries intensifies the pressure on logistics systems. The last-mile service network refers to the logistics nodes that have direct contact with consumers, and its geographical location and quantity will directly affect the service level, cost and customer service mode of the distribution network. However, with the rapid growth in the number of online shoppers and their imbalance on the Internet, these factors have gradually become an important basis for influencing the layout of terminal outlets. This imbalance, coupled with dynamic urban traffic conditions, renders traditional distribution planning methods inadequate. Therefore, in the e-commerce environment, how to
Tong, Tong, Gu, Xuefei, Li, Lingxiao
Ensuring The Reliability of Hydraulic Powered Steering System Through Life Data Analysis2025-28-029711/6/2025
The reliability of vehicle steering systems is extremely important to ensure safety, vehicle performance and gain customer satisfaction. Life data analysis conducted to analyze how the steering systems are performing in the field and assess whether the steering systems can meet the reliability target when deployed in the field. This article discusses about the systematic process to conduct the field data analysis of Hydraulic Powered Steering System (HPS) from the warranty claim data, usage of Weibull distribution to derive the life characteristic parameters. Based on the process described in this article, the statistical analysis of the warranty claim data performed and identified that, “the Hydraulic Power Steering Gears demonstrated more than 99% reliability in the field with statistical confidence of 90% and able meet the ZF’s Internal target for the HPS Systems”.
Ravindran, Mohan, Sugumar, Ganesh
Comprehensive Warranty Data Analytics: A Blend of Conventional & Advanced Methods2025-28-029911/6/2025
In today’s competitive landscape, industries are relying heavily on the use of warranty data analytics techniques to manage and improve warranty performance. Warranty analytics is important since it provides valuable insights into product quality and reliability. It must be noted here that by systematically looking into warranty claims and related information, industries can identify patterns and trends that indicate potential issues with the products. This analysis helps in early detection of defects, enabling timely corrective actions that improve product performance and customer satisfaction. This paper introduces a comprehensive framework that combines conventional methods with advanced machine learning techniques to provide a multifaceted perspective on warranty data. The methodology leverages historical warranty claims and product usage data to predict failure patterns & identify root causes. By integrating these diverse methods, the framework offers a more accurate and holistic
Quadri, Danishuddin S.F., Soma, Nagaraju
Customer Support – Failure and Warranty Analysis in Off-Highway Vehicles2025-28-030011/6/2025
The reliability and durability of off-highway vehicles are crucial for industries like construction, mining, and agriculture. Failures in such machines not only disrupt operations but can also lead to significant economic losses and safety concerns. Effective failure and warranty analysis processes are essential to improve customer support, minimize downtime, and enhance equipment life cycle. This paper outlines a comprehensive 7-step failure analysis methodology tailored for off-highway vehicles, accompanied by warranty analysis using Weibull, 6MIS, and 12MIS IPTV. It details the process from problem identification through permanent solution implementation, emphasizing tools and techniques necessary for sustainable improvements. The structured approach provides an actionable blueprint for OEMs and service teams to enhance customer satisfaction, support sustainable development goals, and maintain regulatory compliance.
Mulla, Tosif, Thakur, Anil, Tripathi, Ashish
Spatial-temporal Information Organization Model with All Elements in Whole Domain for Shuozhou-Huanghua Railway2025-99-007910/17/2025
In view of the complexity of railway engineering structure, the systematicness of professional collaboration and the high reliability of operation safety, this paper studied the spatial-temporal information data organization model with all elements in whole domain for Shuozhou-Huanghua Railway from the aspect of Shuozhou-Huanghua Railway spatial-temporal information security. Taking the unique spatial-temporal benchmark as the main line, the paper associated different spatial-temporal information to form an efficient organization model of Shuozhou-Huanghua Railway spatial-temporal information with all elements in the whole domain, so as to implement the effective organization of massive spatial-temporal information in various specialties and fields of Shuozhou-Huanghua Railway; By using GIS (Geographic Information System) visualization technology, spatial analysis technology and big data real-time dynamic rendering technology, it was realized the real-time dynamic visualization display
Liu, Kun, Yu, Hongsheng, Zhu, Panfeng, Liu, Wenbin, Wang, Yaoyao
Research on the Construction of Hardware Reliability System of Electronic Equipments for Rail Traffic Vehicles2025-99-006410/17/2025
Reliability engineering is a science and technology to fight against product failure, which includes reliability requirements and allocation, reliability analysis, reliability modeling and prediction, reliability design, reliability test, reliability testing, operational reliability and other activities. The important condition for the high-quality development of rail traffic is the stable operation of equipment, and the electronic equipment of rail traffic vehicles is mostly the “brain” of the key system. At present, the contradiction between performance optimization and structural complexity is increasingly prominent. In order to cope with the variable operating conditions and harsh environment of vehicles, the requirements for reliability are getting higher and higher. It is of great significance to carry out reliability engineering for its high-quality development. This paper introduces the construction of the reliability system of the electronic equipment of rail traffic vehicles
Song, Xiaozhong, Song, Mengsi, Wang, Lei
Aerospace & Defense Technology: October 202525AERP1010/2/2025
Nadcap at 35: Still Defining Excellence in Aerospace and Defense Manufacturing High Performance Enclosure Systems for Aerospace and Defense Applications: Preparing for What’s Next Selecting the Best Plastic for Spacecraft Applications 2025 Rising Star Awards Aerospace and Defense Winner – Keshika Warnakula Managing Thermal Reliability at the Edge: The Critical Challenge DoD Isn’t Talking About Analyzing Aircraft Antenna Placement and Performance with Unified Modeling and Simulation U.S. Army Tests Innovative Autonomous Tactical Vehicle Prototype Researchers Discover New Materials That Could Enhance Fighter Jet Efficiency Could Metasurfaces Be The Next Quantum Information Processors?
Passive Nutrient Delivery System (PONDS)TBMG-5392610/1/2025
Reliable seed germination and plant production requires an environment that is neither too dry nor too wet. PONDS was developed to improve water and nutrient delivery for plants grown on the International Space Station (ISS). The technology uses an innovative wicking material to passively link a water/nutrient reservoir to a growth cylinder where seeds are germinated and plants are produced. PONDS addresses limitations with existing ISS plant-production technology by providing consistent delivery of water/nutrients, improving oxygen transfer to plants, and allowing users to determine how much water is being applied.
Managing Thermal Reliability at the Edge: The Critical Challenge DoD Isn’t Talking AboutTBMG-5396710/1/2025
Items per page:
1 – 50 of 3504