Browse Topic: Identification

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Development and Application of SAE J3260 & J3290 Recommended Practice for Minimizing Spread of Infections in Motor Vehicles2026-01-0128To be published on 04/07/2026
In response to COVID pandemic, and at the persistent urging of the late Ward Atkinson, long-time SAE leader in Interior Climate Control Committees, the SAE Cabin Disinfection Practices Committee was formed in May 2021. Towards that end, two SAE J-standards have been produced by this committee: SAE J3260, Identification of Acceptable Cleaning and Disinfection Products for Vehicle Interior Surfaces and Exterior Touch Points, and SAE J3290, Selection and Use of Technologies and Methods for Vehicle Cabin Air Disinfection. This SAE paper will unpack the background and application of these J-Standards to minimize the probability of spreading of infection during the operation of motor vehicles while in normal operation, before and after vehicle servicing, and when in use as paid-for-hire operation - for both ‘normal’ environmental conditions, and during times of pandemic emergencies. Additionally, recent advances in air and surface disinfection technologies—including methods relevant to SARS
Schaeber, Steven, Mathur, Gursaran, Taylor, Dwayne
Multiple-Parameter Joint Estimation for Unmanned Mining Trucks Based on Real-Time Cornering Stiffness Identification2026-01-0618To be published on 04/07/2026
High-precision estimation of key vehicle–road state parameters is essential for accurate and safe vehicle control, as well as for reliable trajectory tracking and path planning. However, the strong nonlinearity of tire forces makes real-time estimation of tire cornering stiffness challenging, and the uncertainty of this parameter significantly limits the performance of conventional estimation methods. To overcome this issue, this study proposes a novel joint estimation framework that integrates the Square-Root Cubature Kalman Filter (SCKF) with Moving Horizon Estimation (MHE). In the proposed approach, the SCKF provides high-accuracy estimation of the vehicle sideslip angle, while the MHE enables real-time identification and updating of tire cornering stiffness using vehicle state information over a short horizon. This establishes a closed-loop joint estimation mechanism between sideslip angle and cornering stiffness. Furthermore, the real-time updated cornering stiffness is
Xia, Xue, Shen, Peihong, Jiao, Leqi, Li, Tao, Chen, Huiyong, Zhao, Kun, Jiao, Leqi, Zhao, Zhiguo
Investigation on Microstructure and Mechanical Properties in the Dissimilar Joining of WE43 to AA7075 Alloy using FSW2026-01-0229To be published on 04/07/2026
This research investigates the alterations in microstructure, microhardness, and joint strength resulting from the dissimilar friction stir welding (FSW) of WE43 magnesium alloy to AA7075 aluminium alloy. The study specifically analyses the role of FSW process parameters in the formation of intermetallic compounds (IMCs), the evolution of grain structure, the resultant microhardness distribution across the weld zone, and the joint tensile strength. A comprehensive microstructural characterization was performed utilizing optical microscopy (OM), field emission scanning electron microscopy with energy-dispersive X-ray spectroscopy (FESEM-EDS), electron backscatter diffraction (EBSD), and X-ray diffraction (XRD). These analyses confirmed significant refinement of grain in the stir zone and the identification of various IMCs at the weld interface. Microhardness mapping indicated a gradient profile, with the weld nugget exhibiting superior hardness attributed to its dynamically
Ahmad, Tariq, Khan, Noor Zaman, Ahmad, Babar, Siddiquee, Arshad Noor
Bearing Fault Diagnosis Method Based on Optimized VMD and Deep Timing Fusion2026-01-0158To be published on 04/07/2026
In the current field of rolling bearing fault diagnosis, two critical challenges persist. First, it is difficult to effectively extract fault features from nonlinear and non-stationary vibration signals. Second, precise diagnosis remains a challenge, especially when distinguishing between different fault types and capturing incipient faults with weak characteristic information. To address these issues, this paper proposes a novel fault diagnosis method based on adaptively optimized Variational Mode Decomposition (VMD) and Deep Temporal Fusion. First, the method improves the traditional Sparrow Search Algorithm (SSA). It enhances SSA’s global optimization capability through strategies like chaotic population initialization and adaptive perturbation. This improved SSA enables efficient global optimization of VMD’s key parameters. Leveraging these optimized parameters, the method decomposes modal signal components with different center frequencies from the vibration signal. This process
Wen, Chao, Zhong, Hong, Wang, Liangmo, Chen, Yong, Gao, Qiang, Li, Yong
Advanced Tire Looseness Identification through Algorithmic Gear Error Analysis and Probabilistic Assessment2026-01-0590To be published on 04/07/2026
At present, tire failures directly affect road safety, and the number of incidents caused by them is gradually increasing. Examining tire looseness on time is vital for vehicle safety. Tire-related incidents not only put people in peril but also have a detrimental effect on the economy. Therefore, the goal of this research is to develop a new and effective method for identifying tire looseness. A novel gear error reduction approach, distinct from traditional methods, combines advanced computing and probabilistic analysis. This paper involves three key components: extracting looseness eigenvalues, calculating ring gear errors, and computing the tire loosen probabilities. Gear errors derived from the Kalman filter and adjusted for speed, eigenvalues were calculated, and a tire loosening probability analysis was performed. Real-car trials across speeds and roads confirm its accuracy and reliability. This technology can improve automotive safety and maintenance, reducing accidents, claims
Zhao, Gaoming, Zhang, Zhijie, Liu, Jianjian, Ma, Guangtao, Wang, Zhenfeng, Zhao, Binggen
STUD - STRAIGHT, DRILLED, .2500-20UNS X .2500-28UNF-3AAS128363B (Current)3/20/2026
E-25 General Standards for Aerospace and Propulsion Systems
NUT, SPANNER, AERONAUTICAL, UNS G41400AS172321B (Current)3/20/2026
E-25 General Standards for Aerospace and Propulsion Systems
Shaft Nut and Keywasher Installation Dimensions forAS1495B (Current)3/20/2026
The purpose of this Standard is to provide installation dimensions for shaft nuts and their companion keywasher. The Standard type typically shown on MS9951 and MS9952, but is also suitable for parts which are dimensionally equivalent.
E-25 General Standards for Aerospace and Propulsion Systems
STUD - STRAIGHT, DRILLED, .3125-18UNS X .3125-24UNF-3AAS128687B (Current)3/20/2026
E-25 General Standards for Aerospace and Propulsion Systems
STUD, LOCKED IN - RING, STRAIGHT, HOLE PREPARATION FORAS1620A (Current)3/20/2026
E-25 General Standards for Aerospace and Propulsion Systems
STUD - STRAIGHT, DRILLED, STEEL (SAE 8740), CADMIUM PLATED, .3750-16UNS X .3750-24UNF-3AAS129293B (Current)3/20/2026
E-25 General Standards for Aerospace and Propulsion Systems
STUD - STRAIGHT, NECKED, .3750-16UNS X .3750-24UNF-3AAS126881B (Current)3/20/2026
E-25 General Standards for Aerospace and Propulsion Systems
STUD - STRAIGHT, WAISTED, .4375-14 X .4375-20UNF-3AAS127193B (Current)3/20/2026
E-25 General Standards for Aerospace and Propulsion Systems
CONNECTOR, RECEPTACLE, EXTERNAL ELECTRIC POWER, AIRCRAFT, 270 VDC, 90 KWAS81790/1 (Current)2/23/2026
AE-8C1 Connectors Committee
Aircraft Tow BarARP1915E (Current)2/12/2026
This SAE Aerospace Recommended Practice (ARP) specifies dimensional and physical requirements of tow bar connections to tractor and aircraft (see Figure 1). It is applicable to all types of commercial transport category aircraft tow bar. The purpose of this SAE Aerospace Recommended Practice (ARP) is to standardize tow bar attachments to airplane and tractor according to the mass category of the towed aircraft, so that one tow bar head with different shear levels can be used for all aircraft that are within the same mass category and are manufactured in compliance with AS1614 or ISO 8267.
AGE-3 Aircraft Ground Support Equipment Committee
Aerospace Size Standard for O-RingsAS568F (Current)1/29/2026
This SAE Aerospace Standard (AS) specifies the inside diameters, cross-sections, tolerances, and size identification codes (dash numbers) for O-rings used in sealing applications and for straight thread tube fitting boss gaskets. The dimensions and tolerances specified in this standard are suitable for any elastomeric material provided that suitable tooling is available.
A-6C2 Seals Committee
Road Noise Improvement of a Passenger Vehicle through End-to-End CAE-Simulation Using Transfer Path Analysis (TPA) Approach2026-26-04311/16/2026
Refined NVH performance of a vehicle is a mark of premium quality. Achieving the desired NVH performance in different vehicle operating conditions is always a Herculean task and early stage “CAE design recommendations” play crucial role in overall vehicle design development. This becomes tougher when the program is very much cost, weight and timeline sensitive. This paper explores simulation approach for addressing a major noise issue for a vehicle running at a constant speed on a rough road. While working on any issue, the first and the most critical step is to identify the exact root cause of the issue. Hence, we propose a detailed full vehicle level “contribution analysis (CA) + transfer path analysis (TPA)” methodology (everything done through the simulation) and then go for the design recommendations to improve the performance. We used road excitation power spectral density (PSD) as the input at all the four wheels (spindle locations) calculated through MBD software. The first
Mahajani, Mihir, Nascimento, Fabio, Adinarayana Reddy, Kodidela, Matyal, Mahantesh, Tenagi, Irappa, Sardar, Chenna
Vehicle Interior Material Emissions and Contributions in Passenger Vehicle Cabin Air Quality2026-26-02871/16/2026
Polymer compounds used in the manufacturing of automotive interiors are traditionally consist of polymer virgin material, elastomers, additives, pigments, fillers. These compounded polymers are prone to the emission of low molecular weight chemicals over a period of usage and exposure to the environment called volatile organic compounds (VOCs) and carbonyl compounds. These released VOCs and carbonyl compounds consist of chemicals like benzene, toluene, xylene, styrene, acetaldehyde, formaldehyde, acrolein etc. Short term or long-term exposure of these chemicals have adverse health effects like nausea, headache, vomiting, cancer, even death of personnel if found beyond the permissible limits. It has been observed that the majority of passenger have the above symptoms whenever travelled using passenger cars within few minutes of boarding and exchange the car cabin air. The study was planned to understand the reasons for the concerns and further resolution. This paper is focused on the
Shukla, Sandeep Kumar, Balaji, K V, Varatharajan, Senthilkumaran
Early Prediction of Relaxation Voltage & Detection of State of Battery for Functional Safety2026-26-01661/16/2026
During parking conditions of vehicles, the state of the battery is uncertain as it goes through the relaxation process. In such scenarios, the battery voltage may exceed the functional safety limits. If we cross the functional safety limits, it is hazardous to the driver as well as the occupant. In this case, relaxed voltage plays a crucial role in identifying the safe state of the battery. To estimate the relaxed cell voltage there are methods such as RC filter time constat modeling and relaxation voltage error method. The problem with these solutions is the waiting time and accuracy to determine the relaxation voltage. In this manuscript, a solution is proposed which ensures the above problem is reduced. To achieve the reduction of relaxation voltage estimation time, a python sparse identification of nonlinear dynamics (PySindy) is used which identifies and fits an equation model based on observing the battery characteristics at different SOC and temperatures. The implementation is
Pandey, Priyanshu, Nilajkar, Ankur, Panda, Abinash
Virtual Reality in Assembly Simulations: Outpacing Tecnomatix Process Simulate for Faster Time-To-Market2026-26-03981/16/2026
Virtual Reality technology is emerging as a transformative solution in the manufacturing industry. It offers significant advantages over traditional tools like Tecnomatix Process Simulate in assembly & ergonomic simulations. Analysis using PS is time-consuming and lacks real-time human interaction as it relies on detailed modelling and sequential workflows, which will delay the identification of assembly no-build conditions and ergonomic issues. This paper evaluates the time and the cost-saving potential of VR in assembly processes and explores its role in minimizing the need for physical prototypes across various stages of vehicle development. VR provides interactive environments, enabling interaction with 3D models and real-time collaboration with various teams across the globe. This leads to faster identification of assembly process flaws, quicker iteration cycles, and a reduced need for physical prototypes in the station development process for the lines. VR allows individuals to
Nagendran, Rakesh Kumar
Comparative Analysis of Charger Identification Methods in Electric Truck Routing Algorithms2026-26-02061/16/2026
Optimizing Vehicle Routing is a key application for determining the most effective sequence of locations in electric trucks. This optimization not only enhances operational efficiency but also minimizes energy consumption and reduces overall costs. A critical aspect of Optimal Vehicle Routing is identifying charging stations along the route, particularly for electric vehicles with specific range requirements. The availability of these charging stations is crucial for maintaining the continuity of operations and preventing delays. This paper explores multiple methods for charger identification, simulating and comparing their effectiveness. The primary parameter for comparison are the energy consumption, throughput, and the energy efficiency of the routes generated by various methods, which directly impacts the feasibility of real-time applications in logistics. The results of this study provide insights into the efficiency of different charger identification methods within the Optimal
Bhat, Adithya, Prasad P, Shilpa, Kolakar, Rakshita, Myers, Michael, Klein, Fischer, Shrivastava, Himanshu
Mode Identification and Collaborative Switch for the Front-Centralized and Rear-Distributed Electric Drive Vehicle Based on BP Neural Network2025-01-733512/31/2025
Distributed-drive electric vehicles (DDEVs) significantly enhance off-road maneuverability but suffer from compromised high-speed stability and robustness. This research introduces a front-centralized and rear-distributed (FCRD) architecture that synergistically leverages the advantages of each configuration. The electric-drive-wheel (EDW) on the rear suspension can provide three working modes: (a) Drive-connected mode, (b) Drive-disconnected mode, (c) Brake mode. It is the key actuator for vehicle mode-switching, which supports the vehicle with three driving modes: (a) DDEV, (b) front-wheel drive (FWD), (c) all-wheel drive (AWD). A hierarchical control architecture employs the upper-layer controller with Back Propagation Neural Network (BPNN) for mode identification and decision-making. The lower-layer controller enables the intelligent torque distribution and collaborative control of the motors. The control strategy is pre-trained in the VCU (vehicle control unit) with off-line data
Ding, Xiaoyu, Chen, Xinbo, Wang, Wei, Zhang, Jiantao, Kong, Aijing
Ship Encounter Situation Recognition Based on Transformer2025-99-031512/17/2025
Intelligent ships represent a crucial trend in the development of the maritime industry and will become the predominant vessel form in the future. Intelligent ships must have efficient perception and situational analysis capabilities in complex navigation environments to achieve intelligent decision-making and safe navigation. Maritime traffic safety is a critical issue for the global shipping industry, and maritime situational awareness is essential for ensuring safe navigation in waterways. This paper addresses the problem of intelligent identification of potential navigational risks in ship navigation environments and proposes a Transformer-based approach for ship encounter situation recognition. This method utilizes Automatic Identification System (AIS) data to extract encounter features. Contextual Position Encoding and Coordinate Attention mechanisms are introduced into the model to capture spatial correlation and directional features, enhancing the accuracy of determining
Ma, Tongyue, Pan, Mingyang, Li, Shaoxi, Hu, Jingfeng, Li, Chao
Identification of Critical Risk Nodes and Vulnerability Analysis in Railway Networks2025-99-042512/10/2025
As the importance of railway networks in regional transportation and economic development continues to grow, identifying critical risk nodes and assessing network vulnerability is crucial for enhancing the stability and resilience of railway systems. This study focuses on the railway network of Shandong Province, constructing a topological model to systematically analyze the structural characteristics of the network, with a particular emphasis on key nodes. To identify these critical risk nodes, four modified weighted indicators were employed, combined with the mean-square deviation TOPSIS method to quantify node importance. The analysis identified Jinan, Linyi, and Yantai as key risk nodes, as they consistently ranked high across multiple indicators. Further vulnerability analysis reveals that the failure of these critical nodes would lead to significant declines in network efficiency and connectivity, with particularly high vulnerability observed when nodes with high weighted
Xu, Chang, Han, Wen, Fan, Hongxian, Dai, Hongna
Investigation of Roll Motion Behavior in a Multi-Functional High-Speed Trimaran Unmanned Vessel2025-99-043912/10/2025
This study focuses on the multifunctional three-body high-speed unmanned boat model, and experimentally measures the roll attenuation characteristics under different draft conditions. It focuses on the influence of the initial roll angle on roll attenuation, and analyzes the change pattern of roll angle over time. Experimental results show that the model shows obvious self-oscillation period and amplitude attenuation. Based on the system identification theory and combined with improved genetic algorithms, a mathematical model used to simulate the roll attenuation motion of the boat model was constructed. The difference between experimental data and fitted values was further evaluated using identification software and verified with data at specific roll angles. In addition, the study also deeply analyzed the change trend of the roll moment coefficient with the initial roll angle. By comparing the experimental results of the three-mall boat and the catamaran, it was found that the three
Zhang, Di, Tong, Wei, Yu, Qingzhu, Liu, Bofei
Risk Assessment and Identification of Freight Vehicle Trip Chains2025-99-042112/10/2025
Although the number of trucks is low, their accident rate is high, and the consequences of accidents are severe. This paper is based on GPS data from 100 trucks, with each trip chain defined by a vehicle’s stay time greater than 20 minutes. The kinematic parameters for each trip chain are then extracted, and the entropy weight method is used to calculate the weights of various parameters. A random forest model is applied to select 11 key indicators, including speed and acceleration. The entropy weight-TOPSIS algorithm is used to assess the risk of each trip chain for the trucks. Different combinations of continuous and discontinuous trip chain scenarios are constructed. Finally, support vector machines (SVM) and decision tree methods are used for risk prediction under different trip chain combinations. The results show that the 11 selected key indicators provide an accuracy of 95.74% for describing the sample. In general, the SVM model shows better prediction accuracy than the decision
Huang, Yunhe, Xiong, Zhihua, Li, Jiayu
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
Machine Learning Based off-Road Vehicle Turn Identification Using Vehicle & GPS Parameters2025-28-034411/6/2025
Identification of different types of turns during field operation of off-road vehicles is critical in the overall vehicle development as it is helpful in identifying & optimizing machine performance, correct duty cycle, fuel economy, stability analysis, accurate path planning, customer usage pattern & designing the critical components, etc. In this study, a machine learning (ML) based methodology has been developed to detect the off-road vehicle turns using vehicle & GPS parameters. Three most common types of off-road vehicles turn conditions e.g., Straight line, Bulb turn, and Three-Point turn have been considered. Different vehicle parameters (like latitude & longitude, compass bearing, yaw rate, vehicle speed, swash plate angle, engine speed, percent load at vehicle speed, raise lower front & PTO channels) generated during field test have been used here. These vehicle parameters are further processed, analysed and used in ML learning model building. Four ML models e.g., SVM, K-NN
Rai, Rohit, Gangsar, Purushottam, Joseph, Roberts, Malik, Manish, Dutta, Mausum, Fapal, Anand
Rubber: Fluorosilicone (FVMQ) High Temperature Fuel and Oil Resistant For Seals In Fuel Systems and Specific Engine Oil SystemsAMS7273D (Current)10/24/2025
This specification covers a fluorosilicone (FVMQ) rubber in the form of molded rings.
AMS CE Elastomers Committee
Evaluation and Analysis of the Current Situation of Security Identification Management Based on Structural Equation Model2025-99-005210/17/2025
In order to explore the actual safety management effect of safety signs and better carry out on-site safety management, this article independently developed an evaluation scale for the management effect of safety signs. Taking a certain marine engineering equipment manufacturing enterprise as the object, the management of safety signs was evaluated and analyzed. Firstly, 11 questions from the SPSSAU online analysis scale were selected as measurement indicators to test safety label management. Factor analysis was used to select three factors: cognitive function, compliance behavior, and leadership attitude. Secondly, a safety identification management model was constructed based on structural equation modeling (SEM) with three factors as latent variable factors. Through fitting tests, it was found that cognitive effects, compliance behaviors, and leadership attitudes have a certain impact on management effectiveness, and there is a positive correlation between the three latent variable
Wang, Chunyuan, Yang, Guihua, Li, Xinyao, Zhu, Jie
No More Lost Sponges: RFID to Optimize Surgical Suite Efficiency and SafetyTBMG-5398910/1/2025
Retained surgical items are not as rare as many believe. While stories of sponges left inside patients occasionally make headlines, few realize the actual frequency: according to a systematic review of 21 studies by the Agency for Healthcare Research and Quality (AHRQ), these and other small items are left behind as often as 1.3 times per 10,000 surgical procedures.
Marking of Electrical Insulating MaterialsAS5942 (Current)9/29/2025
This specification establishes the performance requirements for the identification of wire and cable by indirect markings that have been applied to electrical insulating materials including heat shrink sleeving, wrap around labels and “tie-on” tags as well as any other types of materials used for indirect marking. This specification covers the processes used to mark these materials, including impact ink marking, thermal transfer, hot stamp, and lasers, etc. This specification does not cover the direct marking on insulated electrical wires and cables.
AE-8A Elec Wiring and Fiber Optic Interconnect Sys Install
Tungsten Carbide-Cobalt PowderAMS7879G (Current)9/18/2025
This specification covers tungsten carbide-cobalt in the form of powder.
AMS F Corrosion and Heat Resistant Alloys Committee
Enhanced Object Matching and Identification for Multi-Robot Systems in Complex Environments2025-01-04389/16/2025
Our research focuses on developing a novel loss function that significantly improves object matching accuracy in multi-robot systems, a critical capability for Safety, Security, and Rescue Robotics (SSRR) applications. By enhancing the consistency and reliability of object identification across multiple viewpoints, our approach ensures a comprehensive understanding of environments with complex layouts and interlinked infrastructure components. We utilize ZED 2i cameras to capture diverse scenarios, demonstrating that our proposed loss function, inspired by the DETR framework, outperforms traditional methods in both accuracy and efficiency. The function’s ability to adapt to dynamic and high-risk environments, such as disaster response and critical infrastructure inspection, is further validated through extensive experiments, showing superior performance in real-time decision-making and operational effectiveness. This work not only advances the state of the art in SSRR but also
Brown, Taylor J., Vincent, Grace, Nakamoto, Kyle, Bhattacharya, Sambit
Cable Marking for Circuit Identification in Multi-Voltage Power Distribution SystemsJ3176_202509 (Current)9/3/2025
This SAE Standard establishes the minimum circuit identification and requirements for Multi-Voltage Power Distribution Systems (MVPDS) for use on trucks and buses. A Multi-Voltage Power Distribution System is one that distributes two or three voltages, up to 60 VDC, to power the controls, instruments, and devices.
Truck and Bus Electrical Systems Committee
Identification Welding Wire, Tab Marking MethodAMS2816W (Current)7/21/2025
This specification covers procedures for tab marking of bare welding wire to provide positive identification of cut lengths and spools.
AMS B Finishes Processes and Fluids Committee
O-Ring Molded from AMS7274 MaterialAS3570A (Current)7/17/2025
This standard establishes the dimensional and visual quality requirements, lot requirements, and packaging and labeling requirements for O-rings molded from AMS7274 rubber. It shall be used for procurement purposes.
A-6C2 Seals Committee
SCREW - OVAL FILLISTER DRILLED HEAD, .138-32AS116961D (Current)6/17/2025
E-25 General Standards for Aerospace and Propulsion Systems
Design Space Exploration of a Continuous Rubber Track System via Surrogate Modeling02-18-04-00235/26/2025
Continuous rubber track systems for heavy applications are typically designed using multiple iterations of full-scale physical prototypes. This costly and time-consuming approach limits the possibility of exploring the design space and understanding how the design space of that kind of system is governed. A multibody dynamic simulation has recently been developed, but its complexity (due to the number of model’s inputs) makes it difficult to understand and too expensive to be used with multi-objective optimization algorithms (approximately 3 h on a desktop computer). This article aims to propose a first design space exploration of continuous rubber track systems via multi-objective optimization methods. Using an existing expensive multibody dynamic model as original function, surrogate models (artificial neural networks) have been trained to predict the simulation responses. These artificial neural networks are then used to explore the design space efficiently by using optimization
Faivre, Antoine, Rancourt, David, Plante, Jean-Sébastien
Aircraft Jacking Pads Adapters and Sockets Design and Installation ofAS8091A (Current)5/8/2025
This SAE Aerospace Standard (AS) provides requirements for design and installation of aircraft jacking pad adapters and the mating jack socket interface to permit use of standard jacking equipment to be used in civil and military transport aircraft. The adapter defined herein shall be the key interface between the aircraft and the aircraft jack(s).
AGE-3 Aircraft Ground Support Equipment Committee
Identification of Suspension Kingpin Alignment Parameters Based on Screw Axis Theorem and Differential Calculation Model2025-01-50345/6/2025
This paper presents an analytical approach for identifying suspension kingpin alignment parameters based on screw axis theorem and differential calculation model. The suspension kingpin caster and inclination alignment parameters can produce additional tire force, which affects vehicle handling dynamics. In wheel steering process, the multi-link suspension control arms lead to movement of the imaginary kingpin, which can cause change in suspension kingpin alignment parameters. According to the structure mechanism of commercial vehicle multi-link independent suspension, the kinematics characteristics of imaginary kingpin were analyzed based on the screw axis theorem. The angular velocity and translation velocity vectors were calculated. In order to avoid the influence of bushing deformation, the unique differential identification model was established to evaluate the suspension kingpin alignment parameters, and the identification results were compared with the ADAMS/Car data. The
Ding, Jinquan, Hou, Junjian, Zhao, Dengfeng, Guo, Yaohua
Identification and Evaluation of Passthroughs that Affect the Acoustic Performance of a Dash System2025-01-01215/5/2025
This paper discusses a systematic process that was developed to evaluate the acoustic performance of a production dash system. In this case it is for an electric vehicle application. The production dash panel was tested under different configurations to understand the importance of passthroughs in the acoustics of the system. Results show that often the performance of the passthroughs strongly affects the overall performance of the dash system and this may become the limiting factor to increase the system sound transmission loss. To understand the acoustic strength of different passthroughs and their effects on the overall system, the dash with passthroughs underwent extensive testing. Subsequently, a test procedure using flat panels was developed to quantify the performance of individual passthroughs on a part level. This data can be used by the OEM to develop STL targets that can be considered in the grommet design early in the vehicle development process.
Saha, Pranab, Baack, Gregory, Geissler, Christian, Kaluvakota, Srikanth, Pilz, Fernando
Mode Shape Identification Using Graph Neural Networks for Vehicle Structure Design2025-01-01315/5/2025
This paper introduces a novel, automated approach for identifying and classifying full vehicle mode shapes using Graph Neural Networks (GNNs), a deep learning model for graph-structured data. Mode shape identification and naming refers to classifying deformation patterns in structures vibrating at natural frequencies with systematic naming based on the movement or deformation type. Many times, these mode shapes are named based on the type of movement or deformation involved. The systematic naming of mode shapes and their frequencies is essential for understanding structural dynamics and “Modal Alignment” or “Modal Separation” charts used in Noise, Vibration and Harshness (NVH) analysis. Current methods are manual, time-consuming, and rely on expert judgment. The integration of GNNs into mode shape classification represents a significant advancement in vehicle modal identification and structure design. Results demonstrate that GNNs offer superior accuracy and efficiency compared to
Tohmuang, Sitthichart, Swayze, James L., Fard, Mohammad, Fayek, Haytham, Marzocca, Piergiovanni, Bhide, Sanjay, Huber, John
Pass-by Noise Contribution Analysis of an Agricultural Tractor2025-01-01345/5/2025
There is an increasing effort to reduce noise pollution across different industries worldwide. From a transportation standpoint, pass-by regulations aim to achieve this and have been implementing increasingly stricter emissions limits. Testing according to these standards is a requirement for homologation, but does little to help manufacturers understand why their vehicles may be failing to meet limits. Using a developed methodology such as Pass-by Source Path Contribution (SPC, also known as TPA) allows for identification of dominant contributors to the pass-by receivers along with corresponding acoustic source strengths. This approach is commonly used for passenger vehicles, but can be impractical for off-highway applications, where vehicles are often too large for most pass-by-suitable chassis dynamometers. A hybrid approach is thereby needed, where the same techniques and instrumentation used in the indoor test are applied to scenarios in an outdoor environment. This allows for
Freeman, Todd, Engels, Bret, Thuesen, Ben
Eddy Current Inspection of Circular Holes in Nonferrous Metallic Aircraft Engine HardwareAS4787A (Current)5/2/2025
This SAE Aerospace Standard (AS) establishes minimum requirements for eddy current inspection of circular holes in nonferrous, metallic, low conductivity (less than 5% IACS) aircraft engine hardware with fasteners removed. The inspection is intended to be performed at maintenance and overhaul facilities on engine run hardware.
AMS K Non Destructive Methods and Processes Committee
Hose Assembly, Convoluted Polytetrafluoroethylene, Metallic Reinforced, Low Pressure, Up to 400 °F, AircraftAS1227C (Current)4/14/2025
This SAE Aerospace Standard (AS) defines the requirements for a convoluted polytetrafluoroethylene (PTFE) lined, metallic reinforced, hose assembly suitable for use in aerospace fluid systems at temperatures between -65 °F and 400 °F for Class 1 assembly, -65 °F and 275 °F for Class 2 assembly, and at operating pressures per Table 1. The use of these hose assemblies in pneumatic storage systems is not recommended. In addition, installations in which the limits specified herein are exceeded, or in which the application is not covered specifically by this standard, shall be subject to the approval of the procuring activity.
G-3, Aerospace Couplings, Fittings, Hose, Tubing Assemblies
Mitigating Paint Blistering Defects in Aluminum Casted Parts: A QC Story Approach Utilizing Computed Tomography2025-01-82294/1/2025
Blistering in aesthetic parts poses a significant challenge, affecting overall appearance and eroding brand image from the customer's perspective and blister defects disrupt painting line efficiency, resulting in increased rework and rejection rates. This paper investigates the causes and effects of blistering, particularly in the context of internal soundness of Aluminum castings, emphasizing the crucial role of Computed Tomography in defect analysis. Computed Tomography is an advanced Non-Destructive Testing technique used to examine the internal soundness of a material. This study follows a structured 7-step QC story approach, from problem identification to standardization, to accurately identify the root Cause and implement corrective actions to eliminate blister defect. The findings reveal a strong link between internal soundness and surface quality. Based on the root cause, changes in the casting process and die design were made to improve internal soundness, leading to reduced
D, Balachandar, Nataraj, Naveenkumar
Comparison of Vortex Identification Methods on Base Wake Structures in Bluff Body Flows2025-01-87764/1/2025
In this work, a modified Ahmed body with both upsweep and downsweep was used to create a complex wake. The time-averaged streamline topology revealed that the wake was composed primarily of a torus past the vertical base and two pairs of streamwise-oriented vortices on the upper and lower slant edges. Several vortex identification methods including three-dimensional (3D) (Q−, λ2−, Ω−criteria, and Liutex method) and two-dimensional (2D) (Γ1−criterion) methods were compared to determine the effectiveness in identifying complex wake structures. Of the 3D methods analyzed, none produced wholly satisfactory results. The Q− and λ2−criteria were plagued by well noted issues; failing to separate shear from rotation and threshold sensitivity which led to inconsistently identifying the weaker torus. The Ω−criterion addressed all of these concerns, especially identifying the torus consistently. However, the identified torus structure did not reflect the physical structure observed using the
Aultman, Matthew, Duan, Lian
Identification of Size and Distribution Features of Spherical Magnetic Wear Particles in Engine Lubricant2025-01-83984/1/2025
To address the issue of signal aliasing when multiple particles pass through a metallic particle sensor, which can lead to misidentification of particle count, we employ numerical simulation methods for an in-depth investigation. We developed a mathematical model of a three-coil inductive metal particle sensor to explore the signal variations induced by the passage of a single particle. We utilized micro-element simulation analysis to dissect the signal generated by a single particle, elucidating the underlying change process. Focusing on dual ferromagnetic particles as the subject of study, we conducted simulations and demodulation of the induced voltage under various combinations of sizes and spacings to investigate the influence patterns of dual adjacent ferromagnetic particles on the sensor's induced signal. Further research into the peak signals of different diameter particles at a constant spacing revealed that, for a given spacing, the ratio of peak signals between particles of
Chen, Sen, Shen, Yitao, Qiang, Guiyan, Zheng, Zheng, Wang, Zheyu, Hao, Yin, Hu, Ting
Lighting Identification CodeJ759_202503 (Current)3/25/2025
This SAE Recommended Practice provides the lighting function identification codes for use on all passenger vehicles, trucks, trailers, motorcycles, and emergency vehicles.
Lighting Standard Practices Committee
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