Browse Topic: Maintenance and Aftermarket

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Dynamic Stiffness Prediction in Cracked Cantilever Beams Using Enhanced ANN Techniques2026-28-0050To be published on 02/12/2026
This research paper presents an in-depth investigation into the application of Artificial Neural Networks (ANN) for predicting the dynamic stiffness characteristics of cantilever beams affected by cracks of varying depths and positions. Structural failure due to vibration remains a critical concern, and this study focuses on how crack-induced changes in modal stiffness compromise structural reliability. A significant research gap identified in previous studies is the limited consideration of crack location; this work addresses that gap by analyzing how both crack depth and position influence the natural frequency of the beam. Using modal analysis on cantilever beams with identical dimensions but different crack configurations, it was observed that deeper cracks and cracks near the fixed support led to a marked reduction in natural frequency, making the structure more vulnerable to resonance. Cracks located at the free end, however, showed negligible impact. To model and predict these
SB, Harshini, Rajkumar, Manjari, R, Krithika, K, Anusha, K, Divya, Bhaskara Rao, Lokavarapu
Integrated Powertrain Domain Controller Using Wide Band Gap Devices for EV Applications2026-26-0055To be published on 01/16/2026
The rapid evolution of electric vehicles (EVs) has amplified the demand for highly integrated, efficient, and intelligent powertrain architectures. In the current automotive landscape, EV powertrain systems are often composed of discrete ECUs such as the OBC, MCU, DC-DC Converter, PDU, and VCU, each operating in isolation. This fragmented approach adds wiring harness complexity, control latency, system inefficiency, and inflates costs making it harder for OEMs to scale operations, lower expenses, and accelerate time-to-market. The technical gap lies in the absence of a centralized intelligence capable of seamlessly managing and synchronizing the five key powertrain aggregates: OBC, MCU, DC-DC, PDU, and VCU under a unified software and hardware platform. This fragmentation leads to redundancy in computation, increased BOM cost, and challenges in system diagnostics, leading to sub-optimal vehicle performance. This paper addresses the core issue of fragmented control architectures in EV
Kumar, Mayank, Deosarkar, Pankaj, Inamdar, Sumer, Tayade, Nikhil
Auto Braking System for Preventing Commercial Vehicle Overloading2026-26-0032To be published on 01/16/2026
Overloading in vehicles, particularly trucks and city buses, poses a critical challenge in India, contributing to increased traffic accidents, economic losses, and infrastructural damage. This issue stems from excessive loads that compromise vehicle stability, reduce braking efficiency, accelerate tire wear, and heighten the risk of catastrophic failures. To address this, we propose an intelligent overloading control and warning system that integrates load-sensing technology with real-time corrective measures. The system employs precision load sensors (e.g., air below deflection monitoring via pressure sensors) to measure vehicle weight dynamically. When the load exceeds predefined thresholds, the system triggers a multi-stage response: 1 Visual/Audio Warning – Alerts the driver to take corrective action. 2 Braking Intervention – If ignored, the braking applied, immobilizing the vehicle until the load is reduced. Experimental validation involved ten iterative tests to map deflection-to
Raj, Amritesh, Pujari, Sachin, Londhe, Mahesh, Shirke, Sumeet, Shinde, Akshay
A Centralized Framework for Sustaining Safety-Critical Vehicle Systems Through Periodic Servicing2026-26-0003To be published on 01/16/2026
As vehicles are becoming more complex, maintaining the effectiveness of safety critical systems like adaptive cruise control, lane keep assist, electronic breaking and airbag deployment extends far beyond the initial design and manufacturing. In the automotive industry these safety systems must perform reliably over the years under varying environmental conditions. This paper examines the critical role of periodic maintenance in sustaining the long-term safety and functional integrity of these systems throughout the lifecycle. As per the latest data from the Ministry of Road Transport and Highways (MoRTH), in 2022, India reported a total of 4.61 lakh road accidents, resulting in 1.68 lakh fatalities and 4.43 lakh injuries. The number of fatalities could have been reduced by the intervention of periodic services and monitoring the health of safety critical systems. While periodic maintenance has contributed to long term safety of the vehicles, there are a lot of vehicles on the road
HN, Sufiyan Ahmed, Khan, Furqan, Srinivas, Dheeraj
Analysis of Engagement Probability for Dog Clutch Geometry Parameters in Heavy-Duty Automated Mechanical Transmissions.2026-26-0437To be published on 01/16/2026
This study presents a simulation-based approach to estimate the dog clutch engagement probability maps under different vehicle operating conditions. The developed probability function incorporates multiple critical parameters including initial speed differential between engaging components, application of countershaft brake, number of tooth in dog clutch, friction coefficients at tooth interfaces, applied actuation force, dog tooth geometry, and component inertia. Using MATLAB and Simulink, comprehensive simulation models were developed to analyze engagement dynamics and produce detailed probability maps at different vehicle speeds. The present work effectively outlines optimal operational zones for successful engagement while identifying critical regions prone to tooth clash and engagement failure. The effect of tooth geometry on engagement probability has been investigated to study its effect on the optimal mismatch speeds. The resulting engagement maps serve as valuable diagnostic
Khan, Mohammad Adeeb, Khan, Nuruzzama Mehadi, Koona, Rammohan
EV Powertrain Systems Diagnostics & Prognostics utilizing AI & ML (LLM) based approach2026-26-0664To be published on 01/16/2026
This study introduces a novel Large Language Model (LLM)-driven approach for comprehensive diagnosis and prognostics of vehicle faults, leveraging Diagnostic Trouble Codes (DTCs) in line with industry-standard automation protocols. The proposed model represents a significant advancement in automotive diagnostics by not only identifying fault codes but also reasoning through the root causes behind them, thereby enhancing fault interpretability and maintenance efficiency. The LLM is trained on extensive service manuals, sensor datasets, historical fault logs, and OEM-specific DTC definitions, enabling context-aware understanding and correlation of faults. Analytical validation has been performed using real-world vehicle datasets from multi-brand platforms, demonstrating the model’s ability to detect complex fault chains and accurately predict probable root causes. By utilizing time series based projection of vehicle pattern, model could also predict the potential future faults basis the
Pandey, Suchit, Joshi, Pawan, Kondhare, Manish, CH, Sri Ram, Gajbhiye, Abhishek, S, Adm Akhinlal
Optimization of Battery Mixing Strategies to Enhance Electric Vehicle Performance and Efficiency2026-26-0209To be published on 01/16/2026
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
Rear Wiper Motor with Nozzle Integration for Improved wiping performance and Perceived Quality2026-26-0600To be published on 01/16/2026
In the current modern days of driving, rear wiping performance plays a crucial role in safe driving. This study focuses on improving the rear wiping with add on benefits like improved BSR performance, cost saving and perceived quality. This new concept has the rear wiper motor assembly which accommodates the nozzle also thereby making it a single unified assembly with reduced system complexity. This concept eliminates the complex hose routing of washer system for rear wiping which is usually packaged at spoiler or HMSL. It also helps in improved spray coverage and reduced dry wiping which in turn enhances system reliability with clean & quiet operation. This integrated nozzle concept is much more compact than the available products in the market with minimum number of end items. Also, this design comes with non-return valve which ensures there is no delay in the spray execution. And it improves the cleaning efficiency by maintaining consistent fluid pressure. This concept comes with
Dhage, Prashant, K, Nagarajan, G, Sabari Rajan
System-Level Simulation to Design a Hydrogen Powered Refuse Collection Vehicle Based on Real-World Fleet Operational Data2026-26-0399To be published on 01/16/2026
This study, addresses one of the challenges in the energy transition of heavy-duty vehicles by converting a diesel Refuse Collection Vehicle (RCV) into a hydrogen-powered prototype. The research is part of the VeH2Dem project funded by NextGenerationEU and focuses on dimensioning the complete hydrogen propulsion system for a RCV, including the energy storage capacity, without compromising payload or operational functionality. The development of the propulsion system was based on a comprehensive analysis of operational data extracted from fleet management systems, complemented by detailed instrumental monitoring of various collection routes. This methodology ensured that the prototype maintained performance equivalent to the original internal combustion engine vehicle across all evaluated scenarios. The vehicle performance objectives were established following a comparative analysis with solutions currently available in the RCV market, incorporating statistical analyses to ensure
Cano, Pablo, Barrio, Roberto, Roche, Marina, de-Lima, Daniela, Batista, Sara, Bertolí, Xavier
A Scalable ArTOP-Based In-House Toolchain for Automated AUTOSAR Configuration2026-26-0682To be published on 01/16/2026
The rising software complexity in Automotive industry demands reusable, hardware-agnostic development frameworks. AUTOSAR (Automotive Open System Architecture) provides a standardized, scalable ECU software architecture but cost-effective tooling and modern workflows are critical for broad adoption and competitiveness. One such area is for AUTOSAR configuration and authoring of Autosar architecture. Current solutions include commercial offerings which are often built on top of ARTOP (ArTOP is an eclipse-based ecosystem maintained by AUTOSAR consortium) and open-source python implementations. Commercial tools are prohibitive in cost, have complicated development workflows, are difficult to automate and lack quick integration with other tools. Python-based solutions are often community driven with small developer teams and face many challenges. These tools are not mature enough, have staggered development, security concerns, liability issues, lack of approvals etc. These libraries do not
Daware, Kartik, Garg, Mudit, Pasupuleti, Raju
AI-powered intelligent cognitive lens for driver monitoring for safe transportation and increased fleet efficiency2026-26-0634To be published on 01/16/2026
The rapid evolution of intelligent transportation systems has made drivers’ attentiveness and adherence to safety protocols more critical than ever. Traditional monitoring solutions often lack the adaptability to detect subtle behavioral changes in real time. This paper presents an advanced AI-powered Driver Monitoring System designed to continuously assess driver behavior, fatigue, distractions, and emotional state across various driving conditions. By providing real-time alerts and insights to vehicle owners, fleet operators, and safety personnel, the system significantly enhances road safety. The system integrates lightweight AI/ML algorithms, image processing techniques, perception models, and rule-based engines to deliver a comprehensive monitoring solution for multiple transportation modes, including automotive, rail, aerospace, and off-highway vehicles. Optimized for edge devices, the models ensure real-time processing with minimal computational overhead. Alerts are communicated
Chikhale, Shraddha, Sing, Sandip, Hivarkar, Umesh, Mardhekar, Amogh
Self-supervised diagnostics & prognostics framework for predictive maintenance in electric vehicles2026-26-0673To be published on 01/16/2026
Predictive maintenance is essential for enhancing the reliability, safety, and operational efficiency of connected vehicles. However, traditional supervised learning approaches for fault prediction depend heavily on large, labeled datasets of failure events, which are often scarce and expensive to obtain in real-world automotive environments. This paper proposes an original self-supervised anomaly detection framework that predicts emerging failures using only healthy operational data, eliminating the need for explicit failure labels. The approach employs self-supervised pretext tasks, such as masked signal reconstruction and future telemetry prediction, to learn robust representations of normal multi-sensor behavior (e.g., temperature, pressure, current, vibration). An unsupervised anomaly detection model then identifies deviations from these learned patterns. This integrated with data-informed predictive models enable early detection of faults across critical subsystems such as
Kumar, Pankaj, Deole, Kaushik, Hivarkar, Umesh
Cybersecurity threats for connected passenger EV Buses of state transport units in India.2026-26-0610To be published on 01/16/2026
There are several chances to enhance fleet management, passenger safety, and operational efficiency by integrating connected technology into electric passenger buses, especially in Indian state transport agencies. But this connectivity also brings with it a fresh set of cybersecurity threats that might jeopardize these cars' dependability and security. With an emphasis on India's state-run bus fleets, this study examines the cybersecurity risks unique to connected electric vehicles (EVs) utilized for public transportation. Vehicle-to-vehicle (V2V), vehicle-to-infrastructure (V2I), and fleet management communication systems are examined for key vulnerabilities. Potential attack vectors are highlighted, including data interception, GPS spoofing, unauthorized access, and cyberattacks on charging stations. We also look at how these cybersecurity threats affect public safety, operational disruptions, and passenger privacy. This paper also assesses the difficulties Indian state transport
Mokhare, Devendra Ashok
Driver Personalized Lane Change Behavior Analysis Based on Attention Deep Embedding Clustering2025-01-734712/31/2025
The characteristic representation and in-depth understanding of driver personalized driving behavior are fundamental to achieving human-like autonomous driving, enhancing the rationality of autonomous driving decisions, and meeting passengers’ personalized needs. [ADDED]Personalized driving behavior refers to individual-specific patterns in vehicle operation that emerge from drivers’ unique combinations of skills, risk tolerance, and habitual responses.However, current research lacks consideration of cluster analysis in the feature representation stage and ignores the time-varying contribution degree of time series values to low-dimensional features, which inhibits further utilization and development. This study adopts deep embedding clustering method and introduces attention mechanism to investigate driver personalized high-speed lane change behavior.[ADDED] Using a comprehensive driving simulator platform, we collected 15-channel time series data from 12 drivers performing 216 lane
Dong, Haomin, Wang, Wei, Wang, Yue, Li, Lun, Yue, Yi, Tian, Jiaxiao, Han, Jiayi
Research Progress on Pavement Performance Prediction Models: A Review2025-99-024912/23/2025
Road maintenance plays a vital role in maintaining road conditions and ensuring safety, especially in a country with an extensive road network like China. To accurately predict pavement performance, optimize maintenance strategy, reduce cost and improve road efficiency, the paper systematically combed and evaluated the prediction model of pavement performance. Firstly, the importance of pavement maintenance and the background of pavement maintenance performance prediction model are described, and explicit models (mechanical-empirical model, stochastic process, time series analysis) and machine learning models (regression analysis, support vector machine, integrated learning, artificial neural network, deep learning) are introduced respectively. The basic principle, representative study, advantages and disadvantages of each model are introduced in detail. Comparative analysis shows that the traditional explicit model is simple and effective, easy to explain, but difficult to deal with
Ma, Muyun, Dong, Qiao, Lin, Yelong
Design and Application of Large-Segment Cable Hanging Baskets for Long-Span High-Speed Railway Cable-Stayed Bridges2025-99-021912/23/2025
With the advancement of cable-stayed bridge construction technology, the application of long-span concrete girder cable-stayed bridge is gradually extensive, making the study of construction technology and equipment for concrete main girders increasingly important. The cable hanging basket, a crucial piece of equipment for cable-stayed bridge construction, maximizes the cable’s bearing capacity, improves construction efficiency, and ensures safety and stability during construction. However, due to the varying structural designs and construction environments, the cable hanging basket must be specifically tailored for different cases. The Hanjiang Bridge on the Xi’an-Shijiazhuang High-speed Railway is China’s first steel-truss-reinforced PC box-girder cable-stayed bridge, with a main span of 420 meters. If conventional diamond-shaped hanging baskets are used for suspended casting of small sections, the construction period will not meet the construction requirements of this bridge. To
Li, Jian
Research on Energy Consumption Simulation and Carbon Emission Simulation in the Rail Transit Operation and Maintenance Phase Based on DesignBuilder: A Case Study of Tongyuan Road South Station on Suzhou Metro2025-99-022212/23/2025
At present, the rail transit network in China is well-developed and has become an important means of daily travel for residents. Rail transit stations usually achieve seamless connections with other transportation modes such as buses, taxis, and shared bicycles. It will evolve into an integrated transportation hub, effectively alleviating the pressure on urban surface transportation and playing a pivotal role in dispersing a large number of commuters. Meanwhile, with the vigorous development of rail transit, its energy consumption is increasing. It results in considerable carbon emissions, which poses a huge challenge to China’s goal of achieving carbon neutrality by 2030. In this paper, the building energy consumption simulation tool DesignBuilder is used to model the Tongyuan Road South Station of Suzhou Rail Transit. The energy consumption generated during its operation stage is simulated, and the carbon emissions produced by Tongyuan Road South Station at this stage are calculated
Zhu, Ning
Research on Railway Electric Locomotive Styling Design Based on KE-AHP2025-99-020912/23/2025
Objective:Methods:Conclusion:
Dai, Hongzhou, Li, Jian, Zhao, Di, Liu, Haoran
Application of a Process Mining Tool for Three-Way Match Analysis in the Procure-to-Pay Process of a Multinational Auto Parts Company2025-36-023612/18/2025
Process mining emerges as a very important tool in the automotive industry to improve processes and increase efficiency. Its use allows the identification of bottlenecks and opportunities for improvement in production processes, contributing to increased productivity and cost reduction. This article aimed to evaluate the benefits of applying the Process Mining tool by conducting a Three-way match analysis in the Procure-to-pay (PTP) process of a company in the auto parts sector, seeking to identify opportunities for improvement. Analysis using process mining in PTP of the organization allowed us to identify significant number of cases of price discrepancies were observed in relation to orders related to services, being 2.5 times higher than orders related to materials. Additionally, quantity discrepancies represented 24% of the cases analyzed, compared to only 1.5% of price discrepancies. Of the materials involved in these price discrepancies, approximately 63% were not registered in
Junior, Osvaldo Vicente Jardim, Campos, Renato de, Franco, Bruno Chaves
High Efficiency Li-Ion Battery Recycling for Electronics2025-36-016712/18/2025
Lithium-ion batteries (LIBs) have consolidated their place in the technology market for the energetic transition, with global manufacturing capacity exceeding 1 TWh in recent years and costs falling in this competitive environment. At the same time, the number of end-of-life LIBs is increasing, stimulating the recycling industry to process battery streams, thus promoting the circular economy to meet the increased demand for strategic raw materials and decarbonization. Vehicle electrification is the main driver of battery production, but their end-of-life will take some time to be significant in volume in the next years. Consumer electronics such as smartphones, laptops and power tools are now available at an appropriate volume enabling the preparation of recycling industry for the moment. In this scenario, recyclers are looking for sustainable routes to absorb all these streams and the different LIBs chemistries (LFP, NCA, NMC, LCO, LMO) to recover the critical metals (Ni, Co, Cu, Mn
Gobo, Luciana Assis, Ferrarese, Andre, Oliveira, Rafael Piumatti de, Martins, Thamiris Auxiliadora Gonçalves, Guillen, Daniela Romero, Silva Vasconcelos, David da, Tenório, Jorge Alberto Soares
A Literature Review on Application of Maintenance and Management Strategies for Electric-Vertical Take-Off and Landing Aircraft’s Maintenance, Repair, and Overhaul Organizations01-18-03-001612/18/2025
In the context of emerging technology developed for advanced air mobility concept, its maintenance protocols are not yet mature and existing aviation maintenance systems may not support electric-vertical take-off and landing (e-VTOL) needs. Thus, the operation of e-VTOL aircraft during its deployment stage necessitates the need for qualitative maintenance support. The main purpose of this study is to develop the basic structural principles of the projected new maintenance, repair, and overhaul (MRO) organization for e-VTOL air vehicles, which will support airworthiness through comprehensive maintenance approaches. Thus, the operation of e-VTOL aircraft during its deployment stage necessitates the need for qualitative maintenance support. The importance of the study is to offer standard procedures based on management and maintenance strategies, application of predictive and prescriptive maintenance tools, which pose a significant contribution to ensuring safety, reliability, and cost
Imanov, Tapdig, Bozdereli, Arzu
Performance Evaluation of Linear Model-Based Predictive Control for Path Tracking in Light Autonomous Vehicles2025-36-000112/18/2025
This article focuses on the control of autonomous vehicles (AVs) using advanced methodologies, with particular emphasis on Model-based Predictive Control (MPC) as a tool for optimizing trajectory replication. The primary objective is to demonstrate that MPC can effectively minimize costs and improve efficiency in urban traffic scenarios. The study explores control strategies centered on reducing energy consumption and response time. Given the extensive research on this topic, the article evaluates and compares various control methods, including Pole Allocation, Linear Quadratic Regulator (LQR), and MPC, highlighting the superior capabilities of MPC in ensuring stability and adaptability. Simulations conducted in MATLAB are utilized to validate these approaches, focusing on maintaining trajectory stability during variations in the steering angle.
Baldi, Eduardo, Conrado, Guilherme Barreto Rollemberg, Ribeiro, Levy Pereira, Rodrigues, Gustavo Simão, Lopes, Elias Dias Rossi
Empirical Study on the Evaluation of Natural Loss Standards for Liquid Petroleum2025-99-033612/17/2025
As a crucial part of national strategic resources, petroleum is an important basic material for economic development. However, during the storage, loading and unloading, and transportation of bulk liquid petroleum products, unavoidable natural losses occur due to factors such as process technology and equipment. Therefore, studying the natural loss of liquid petroleum during storage and transportation, and adopting effective countermeasures to minimize the natural loss of liquid petroleum, has become a topic of focus in various fields. This paper uses the “Loss of Bulk Liquid Petroleum Products” approved in 1989 as the analysis standard to explore the natural loss of highway oil transportation, conduct statistical test analysis on oil data such as oil collection registration forms, and propose conclusions and suggestions, thereby providing a reference for the revision of oil loss standards. The experimental results show that the overall oil data meets the national standard for natural
Li, Bixin, Li, Jilai, Jin, Shifeng
Efficient Tunnel Modeling in Unity3D with Data-Driven CSG Approach2025-99-034912/17/2025
Tunnels are vital infrastructures in daily life. To utilize digital twin technology for more efficient and convenient tunnel operation and maintenance, tunnel modeling serves as its foundation. However, existing tunnel modeling methods always suffer from high computational complexity, poor generalizability, and low expressive efficiency. This article proposes a data-driven tunnel modeling approach based on the Unity3D platform. Based on the actual engineering drawings, the method obtains the tunnel parameter set through the classification and feature analysis of the tunnel structure. A process-oriented model representation, i.e. a Constructive Solid Geometry (CSG) tree is then employed, enabling the creation of portal models without dependence on specific data structures. Meanwhile, the mesh optimization idea of downward triangulation and the neighbor-edge detection mechanism are introduced to improve the expression efficiency while maintaining the integrity and correctness of the
Wu, Jianjie, Luo, Xingyu, Mei, Hongliang, Lu, Yuxiang, Wang, Zhiyuan, Chen, Weiya
Development Path of Automated Rural Road Condition Detection in Changji Hui Autonomous Prefecture Based on Cost Analysis2025-99-034612/17/2025
This study estimates the automated detection costs for rural road pavement conditions in 32 provinces across China using conventional and lightweight equipment, respectively. Assuming full automated detection coverage, the detection costs for rural roads in Changji Hui Autonomous Prefecture and its subordinate counties are calculated to analyze the development path of automated rural road condition detection. The results show that the average detection cost using lightweight equipment is generally lower than that using conventional equipment. Based on national average detection costs, employing lightweight equipment for automated rural road detection in Changji Prefecture could reduce fiscal expenditure by approximately CNY 770,000. It is recommended that Changji Prefecture, in promoting rural road informatization, enhance the application of lightweight automated road condition detection equipment, expand the sharing and utilization of automated detection data, and strengthen the use
Yang, Yuting, Zhang, Meng, Wang, Yajie, Li, Bing, Xu, Yongji
Experimental Study on Key Technologies of Prefabricated Fuel Hydrant Well2025-99-036312/17/2025
With the rapid development of the aviation industry, there is an increasing demand for safe apron operations and support capabilities. As a key facility in the apron fuel supply pipeline network, the performance and stability of the fuel hydrant well are crucial. However, the traditional repair and replacement process for fuel hydrant wells faces challenges, including lengthy construction times and significant impacts on airport operations. To address these issues, this article proposes a prefabricated refueling hydrant well technology, aimed at achieving rapid replacement of hydrants under non-stop construction conditions. Through on-site experiments, we have verified the feasibility of this prefabricated fuel hydrant well technology, determined the minimum dismantling boundary, and studied the rapid dismantling process, prefabricated pavement structure and installation process, as well as the application of self-compacting and fast-setting high-strength wellbore filling materials
Ren, Yucheng, Zhao, Kunyang, Chang, Lingsu, Wang, Xiangjun, Han, Tianhui, Li, Zonghe
Aircraft Skin Pressures and TemperaturesAIR8469 (Current)12/11/2025
This information report covers all known aircraft with respect to deicing operations, especially with regard to OEM pressure and temperature limitations on the airframe. It provides data for airlines/operators on compliance with OEM limits and confirms that OEM limits are not exceeded during deicing operations.
G-12M Methods Committee
Aircraft Pressures and Temperatures – Resource DocumentAIR8471 (Current)12/11/2025
This SAE AIR covers Forced Air technology including: reference material, equipment, safety, operation, and methodology. It is intended to provide pressure and temperature (temps pages 26 & 31) information and minimum safety guidelines regarding use of equipment to remove frozen contaminants related to: i) Forced air ii) Forced air/fluid iii) Deicing fluid
G-12M Methods Committee
Identification of Runway Friction Coefficient Using Extended Kalman Filter09-13-02-001212/11/2025
Aircraft operations during landing or takeoff depend strongly on runway surface conditions. Safe runway operations depend on the tire-to-runway frictional force and the drag offered by the aircraft. In the present research article, a methodology is developed to estimate the braking friction coefficient for varied runway conditions accurately in real-time. To this end, the extended Kalman filtering technique (EKF) is applied to sensor-measured data using the on-ground mathematical model of aircraft and wheel dynamics. The aircraft velocity and wheel angular velocity are formulated as system states, and the friction coefficient is estimated as an augmented state. The relation between the friction coefficient and wheel slip ratio is established using both simulated and actual ground roll data. Also, the technique is evaluated with the simulated data as well as real aircraft taxi data. The accuracy of friction estimation, with and without the measurement of normal reaction force on the
T.K., Khadeeja Nusrath, Singh, Jatinder
Construction of an Intelligent Decision-Making System for Pavement Maintenance of Gansu Highway Based on DeepSeek2025-99-045612/10/2025
Pavement maintenance decision-making is the key to determining the maintenance program and ensuring the maintenance effect. Still, the existing pavement maintenance decision-making methods have problems, such as incomplete and inaccurate data. Based on this, this study develops an intelligent decision-making system for pavement maintenance on highways in Gansu Province by combining DeepSeek artificial intelligence technology with dynamic capability theory. The proposed framework integrates multi-source data fusion, predictive analytics, and organizational collaboration mechanisms to address the systematic challenges of resource allocation and decentralized decision-making. A spatio-temporal graph convolutional network enables accurate pavement performance modelling, while a redesigned decision-making process enhances cross-departmental coordination through game-theoretic optimization and blockchain-based traceability. The results show significant improvements in operational efficiency
Xie, Zilong, Liu, Chunya, Huang, Tao, Kou, Yujiao, Xie, Binglei, Xue, Xue
The Application Research of Cantilever Roadheader in Soft Rock Tunnels of the Qinling Mountains2025-99-044412/10/2025
To address the challenges of high support deformation risk in soft rock tunnels of the Qinling Mountains and slow construction speeds in small-section tunnels due to spatial constraints, this study leverages the engineering geological characteristics of the region. These include predominantly mudstone and sandstone, well-developed joints and fissures, and moderately strong surrounding rock. Based on the Lianhua Mountain Tunnel project, the use of a cantilever roadheader in small-section tunnels with soft rock geology was introduced. Through in-depth research on adaptability and design parameters, it was demonstrated that the cantilever roadheader exhibits good adaptability in the soft rock regions of the Qinling Mountains and has significant potential for broader application. The application research results show that the cantilever roadheader causes minimal disturbance to the surrounding rock, resulting in smaller deformation. It also demonstrates a notable progress advantage in
Wu, Jianmin, Hu, Ruoqi, Zhang, Te, Meng, Xianghua
A Research on Path Planning of Kelp Harvesting Vessel Based on Reciprocal Traversal2025-99-040712/10/2025
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Wang, Jie, Yang, Yue, Chen, Xin, Cui, Jiaxing
Advances in Polyimide Tubing for Next-Generation Medical DevicesTBMG-5433512/01/2025
Minimally invasive and interventional platforms increasingly demand smaller profiles, tighter tolerances, and components that maintain performance under thermal, chemical, and mechanical stress. Polyimide (PI) has emerged as a workhorse within these parameters because it combines high strength, thermal stability, chemical inertness, dielectric performance, and biocompatibility in thin-wall formats suitable for catheters, electrophysiology tools, and neurovascular systems. 1- 3
New AI-Driven Design Tool Optimizes Performance and Functionality of RobotsTBMG-5428312/01/2025
Like octopi squeezing through a tiny sea cave, metatruss robots can adapt to demanding environments by changing their shape. These mighty morphing robots are made of trusses composed of hundreds of beams and joints that rotate and twist, enabling astonishing volumetric transformations.
Robotic System for Assembly and Maintenance of Lightweight Reconfigurable StructuresTBMG-5428212/01/2025
Missions to the moon and other planets will require large-scale infrastructure that would benefit from autonomous assembly by robots without on-site human intervention. Modular and reconfigurable structures, such as those built from lattice-based building blocks, are reusable and easy to manufacture. Furthermore, reconfigurable systems have the potential to outperform traditional, fixed infrastructure in applications that require high levels of flexibility in addition to structural strength and rigidity. NASA Ames Research Center has developed a novel and efficient mobile bipedal robot system to construct low-mass, high precision, and largescale infrastructure.
Boosting Welding Productivity with the GoFa CobotTBMG-5428112/01/2025
Finland-based Metos Oy, a manufacturer of professional stainless steel kitchen equipment, needed a welding solution that could deliver flawless, pressure-rated welds for small batches of high-spec products, which feature tubular structures and circular shafts that required continuous, precision welding.
TAILORING electrohydraulics for specialized scenarios25TOFHP12_0312/01/2025
Custom electrohydraulic solutions can address unique demands not satisfied by standard components. As mobile equipment is pushed to perform in increasingly demanding and challenging environments - ranging from frozen construction sites to harsh marine applications - some OEMs are discovering that customized solutions can provide significant advantages. Standard electronic controls and hydraulic components are carefully engineered to meet the requirements of a broad range of typical applications. For many OEMs, these components provide a dependable and cost-effective foundation, especially in environments and duties that don't push operational boundaries.
Cooper, Robin
EDITORIAL: Off-highway innovators help kick off 202625TOFHP12_0412/01/2025
As I'm wont to do come December, with work well underway on the first issue of the new year, I like to take stock of upcoming venues for innovative product reveals and thought-provoking presentations on emerging trends and technologies. Come the first week of January, that means CES in Las Vegas. Traditional equipment manufacturers have increasingly used the event to demonstrate to the broader public that they not only deal in metal but also the digital realm. For example, earlier this year at CES, John Deere revealed its second-generation tech stack featuring camera pods, Nvidia Orin purpose-built processors and Deere's VPUs (vision processing units), along with four new autonomous machines including the 9RX 640 tractor for open-field ag operations. The company is exhibiting again this coming year.
Gehm, Ryan
OEM Toll Processing Advances High-Value ProductsTBMG-5433912/01/2025
When manufacturers seek to leverage specialized expertise, advanced processing capabilities, or proprietary technologies without assuming the financial burden of acquiring and maintaining dedicated equipment or facilities, they often turn to toll processing.
MACHINE LEARNING drives design space exploration25TOFHP12_0112/01/2025
Combining simulation with probabilistic ML enables engineers to chart the full design landscape, quantify uncertainty and uncover viable options that intuition and brute force alone would miss. Components and systems are routinely designed and validated virtually through tools like CFD and FEA before any physical prototype is built. The benefits are obvious: faster iteration, reduced cost and better products. But simulation is not cheap. Each run can take hours, consume costly GPU/CPU resources and require highly skilled engineers who are already in short supply. Licenses and compute costs can easily reach tens of thousands of dollars per seat, and most teams can complete only a few runs per day.
Appleyard, Nick
Mitigating Leak Failures Using Radial Grinding EquipmentTBMG-5433712/01/2025
For any supplier in the medical device manufacturing industry, sustainable success requires an ability and a willingness to bring customers’ ideas to reality. There are often innovative, potentially life-saving projects that are delayed or even abandoned due to limitations on the manufacturing end. However, many specifications that seem impossible to meet can be achieved with persistence, collaboration, and dedication to customers’ ideas.
Automation: How Custom Motion Control Transforms Medical Equipment DesignTBMG-5434012/01/2025
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.
Glossary of Terms - Aircraft Ground Refueling and DefuelingAIR4783B (Current)11/18/2025
This SAE Aerospace Information Report presents a glossary of terms commonly used in the ground delivery of fuel to an aircraft and pertinent terms relating to the aircraft being refueled.
AE-5A Aerospace Fuel, Inerting and Lubrication Sys Committee
A Guideline for Aerospace Platform Fiber Optic Training and Awareness Education Aerospace Fiber Optics Engineer Knowledge CompetenciesARP5602/10 (Current)11/12/2025
This document establishes training guidelines applicable to fiber optics engineer technical training for individuals involved in the manufacturing, installation, support, integration and testing of fiber optic systems. Applicable personnel include: Managers Engineers Trainers/Instructors Third Party Maintenance Agencies Production
AS-3 Fiber Optics and Applied Photonics Committee
A Guideline for Aerospace Platform Fiber Optic Training and Awareness Education Introduction to Aerospace Fiber Optics Technician, Quality Assurance Inspector, or Engineer Hands-on CompetenciesARP5602/8 (Current)11/12/2025
This document establishes training guidelines applicable to fiber optic technician, quality assurance, or engineer technical training for individuals involved in the manufacturing, installation, support, integration and testing of fiber optic systems. Applicable personnel include: Managers Engineers Technicians Trainers/Instructors Third Party Maintenance Agencies Quality Assurance Production
AS-3 Fiber Optics and Applied Photonics Committee
A Guideline for Aerospace Platform Fiber Optic Training and Awareness Education Aerospace Fiber Optics Quality Assurance Knowledge CompetenciesARP5602/9 (Current)11/12/2025
This document establishes training guidelines applicable to fiber optic quality assurance technical training for individuals involved in the manufacturing, installation, support, integration and testing of fiber optic systems. Applicable personnel include: Managers Engineers Technicians Trainers/Instructors Third Party Maintenance Agencies Quality Assurance Production
AS-3 Fiber Optics and Applied Photonics Committee
A Guideline for Aerospace Platform Fiber Optic Training and Awareness Education Aerospace Fiber Optics Technician Knowledge CompetenciesARP5602/7 (Current)11/12/2025
This document establishes training guidelines applicable to fiber optic technician technical training for individuals involved in the manufacturing, installation, support, integration and testing of fiber optic systems. Applicable personnel include: Managers Engineers Technicians Trainers/Instructors Third Party Maintenance Agencies Quality Assurance Production
AS-3 Fiber Optics and Applied Photonics Committee
A Guideline for Aerospace Platform Fiber Optic Training and Awareness Education Introduction to Aerospace Fiber Optics Installer Hands-on CompetenciesARP5602/6 (Current)11/12/2025
This document establishes training guidelines applicable to fiber optic installer technical training for individuals involved in the manufacturing, installation, support, integration and testing of fiber optic systems. Applicable personnel include: Managers Engineers Technicians Logisticians Trainers/Instructors Third Party Maintenance Agencies Quality Assurance Shipping Receiving Production Purchasing
AS-3 Fiber Optics and Applied Photonics Committee
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
A Guideline for Aerospace Platform Fiber Optic Training and Awareness Education Aerospace Fiber Optics Installer Knowledge CompetenciesARP5602/5 (Current)11/11/2025
This document establishes training guidelines applicable to fiber optic installer technical training for individuals involved in the manufacturing, installation, support, integration and testing of fiber optic systems. Applicable personnel include: Managers Engineers Technicians Trainers/Instructors Third Party Maintenance Agencies Quality Assurance Production
AS-3 Fiber Optics and Applied Photonics Committee
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