Browse Topic: Identification

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Data analytics methodology for vehicle quality complaint analysis2026-26-0654To be published on 01/16/2026
Automobiles have become a part of people's everyday life. Customers base their trust on a brand's reputation while making a buying decision. With the evolving trends, feature advancements, automobiles have become a complex system. Ensuring product quality amidst system complexities is necessary to maintain the brand value & ensure customer satisfaction. Efficient addressal of customer quality complaints is pivotal in maintaining product quality. Until recent times, manual analysis using traditional data processing tools has been used for vehicle complaint analysis. However, considering the large quantum of data in new age vehicles with more number of control units, it becomes time-consuming, expertise dependent and susceptible to human errors. Given this & the advent of new age machine learning techniques & data analysis tools that can handle large amount of data, it is imperative to adopt them for vehicle complaint analysis. This research paper puts forth a method to analyze vehicle
Venkatesan, Prasanna, Raju, Vivek
Early prediction of relaxation voltage & detection of state of battery for functional safety2026-26-0166To be published on 01/16/2026
During parking condition of vehicle, 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 gets 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 done and
Pandey, Priyanshu, Nilajkar, Ankur, Panda, Abinash
Vehicle interior material emissions and contributions in passenger vehicle cabin air quality2026-26-0287To be published on 01/16/2026
Polymer compounds used in the manufacturing of automotive interiors are formulated with various kind of additives, pigments, fillers, and resins. These compounded polymers are prone to the emission of chemicals called volatile organic compound (VOC) over a period of usage, temperature exposure etc. VOCs include a variety of chemicals, some of which may have short term adverse health effects like nausea, headache, vomiting, and long-term adverse health effects like cancer, even death if beyond the permissible limits. Studies indicates the concentrations of many VOCs are consistently higher in indoors (up to ten times higher) than outdoors and hence these chemical emissions are required to be controlled within the defined limits. This paper is focused on the identification part and material, evaluation against the recommended test (Odor/Fogging/VOC/Carbonyl compound emissions) and development of materials used inside the car cabin. This study further provides the guidelines for the
Shukla, Sandeep Kumar
Comparative Analysis of Charger Identification Methods in Electric Truck Routing Algorithms2026-26-0206To be published on 01/16/2026
Optimizing Vehicle Routing is a key application for determining the most effective sequence of locations in electric trucks. This optimization not only enhances operational efficiency but also minimizes energy consumption and reduces overall costs. A critical aspect of Optimal Vehicle Routing is identifying charging stations along the route, particularly for electric vehicles with specific range requirements. The availability of these charging stations are crucial for maintaining the continuity of operations and preventing delays. This paper explores multiple methods for charger identification, simulating and comparing their effectiveness. The primary parameter for comparison is the execution time of the algorithm, which directly impacts the feasibility of real-time applications in logistics. The results of this study provide insights into the efficiency of different charger identification methods within the Optimal Vehicle Routing framework. By analysing execution times, the paper
Bhat, Adithya, Prasad P, Shilpa, Kolakar, Rakshita, Myers, Michael, Klein, Fischer, Shrivastava, Himanshu
Road noise improvement of a passenger vehicle through end-to-end CAE-Simulation using Transfer Path Analysis (TPA) approach2026-26-0431To be published on 01/16/2026
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. 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 step i.e. contribution analysis
Mahajani, Mihir, Nascimento, Fabio, ADINARAYANA REDDY, KODIDELA, Matyal, Mahantesh, Tenagi, Irappa, Sardar, Chenna
Hard Anodic Coating of Magnesium AlloysAMS2466D (Current)12/09/2025
This specification covers the requirements for a hard anodic coating on magnesium alloys.
AMS B Finishes Processes and Fluids Committee
Aluminum Alloy Castings, Permanent Mold, 5.0Si - 1.2Cu - 0.5Mg (355.0-T71), Solution Heat Treated and OveragedAMS4280K (Current)12/09/2025
This specification covers an aluminum alloy in the form of permanent mold castings.
AMS D Nonferrous Alloys Committee
Aluminum Alloy, Investment Castings, 7.0Si - 0.32Mg (356.0-T6), Solution and Precipitation Heat TreatedAMS4260H (Current)12/09/2025
This specification covers an aluminum alloy in the form of castings.
AMS D Nonferrous Alloys Committee
Aluminum Alloy Castings, 7.0Si - 0.55Mg - 0.12Ti (F357.0-T6), Solution and Precipitation Heat TreatedAMS4289A (Current)12/09/2025
This specification covers an aluminum alloy in the form of castings.
AMS D Nonferrous Alloys Committee
Aluminum Alloy Castings, Permanent Mold, 5.0Si - 1.2Cu - 0.50Mg (355.0-T6), Solution and Precipitation Heat TreatedAMS4281H (Current)12/09/2025
This specification covers an aluminum alloy in the form of permanent mold castings.
AMS D Nonferrous Alloys Committee
Aluminum Alloy, Castings 4.7Cu - 0.60Ag - 0.35Mn - 0.25Mg - 0.25Ti (B201.0-T7) Solution Heat Treated and Overaged AMS4242D (Current)12/09/2025
This specification covers an aluminum alloy in the form of castings.
AMS D Nonferrous Alloys Committee
Aluminum Alloy, Castings 4.5Cu - 0.70Ag - 0.30Mn - 0.25Mg - 0.25Ti (A201.0-T4) Solution Heat Treated and Naturally Aged AMS4223F (Current)12/09/2025
This specification covers an aluminum alloy in the form of castings.
AMS D Nonferrous Alloys Committee
Aluminum Alloy Castings, High Strength 4.5Cu - 0.70Ag - 0.30Mn - 0.25Mg - 0.25Ti (A201.0-T7) Solution Heat Treated and Overaged AMS4229H (Current)12/09/2025
This specification covers an aluminum alloy in the form of sand, permanent mold, and composite mold castings.
AMS D Nonferrous Alloys Committee
Steel, Bars, Forgings, and Rings 0.95Cr - 0.20Mo (0.28 - 0.33C) (SAE 4130) AMS6370S (Current)11/25/2025
This specification covers an aircraft-quality, low-alloy steel in the form of bars, forgings, flash welded rings, and stock for forging or flash welded rings.
AMS E Carbon and Low Alloy Steels Committee
Steel Bars, Forgings, and Tubing 1.8Ni - 0.25Mo (0.38 - 0.43C) (4640) AMS6312L (Current)11/25/2025
This specification covers an aircraft-quality, low-alloy steel in the form of bars, forgings, mechanical tubing, and forging stock.
AMS E Carbon and Low Alloy Steels Committee
Steel, Bars, Forgings, and Tubing 0.50Cr - 0.55Ni - 0.20Mo (0.18 - 0.23C) (SAE 8620) Vacuum Arc or Electroslag Remelted AMS6277K (Current)11/25/2025
This specification covers a premium aircraft-quality, low-alloy steel in the form of bars, forgings, mechanical tubing, and forging stock.
AMS E Carbon and Low Alloy Steels Committee
Cobalt Alloy, Corrosion and Heat-Resistant, Investment Castings, 50.5Co - 26Cr - 15Ni - 6.0Mo, As-CastAMS5380H (Current)11/25/2025
This specification covers a corrosion and heat-resistant cobalt alloy in the form of investment castings.
AMS F Corrosion Heat Resistant Alloys Committee
Steel, Bars and Forgings, 0.18 - 0.23C (SAE 1022) AMS5070L (Current)11/25/2025
This specification covers a carbon steel in the form of bars up through 3.000 inches (76.2 mm), forgings, and forging stock.
AMS E Carbon and Low Alloy Steels Committee
Nickel-Aluminum-Bronze, Martensitic, Sand, Centrifugal and Continuous Castings, 78Cu - 11Al - 5.1Ni - 4.8Fe, Quench Hardened and Temper AnnealedAMS4881E (Current)11/25/2025
This specification covers a nickel-aluminum bronze alloy in the form of sand, centrifugal or continuous castings.
AMS D Nonferrous Alloys Committee
Aluminum Bronze Alloy, Centrifugal and Continuous-Cast Castings, 81.5Cu - 10.3Al - 5.0Ni - 2.8Fe, Quench Hardened and Temper Annealed (TQ50)AMS4880E (Current)11/25/2025
This specification covers an aluminum bronze alloy in the form of centrifugal and continuous-cast castings.
AMS D Nonferrous Alloys Committee
Aluminum Bronze, Centrifugal and Chill Castings 85Cu - 11Al - 3.6Fe As CastAMS4870G (Current)11/25/2025
This specification covers an aluminum bronze alloy in the form of centrifugal and chill castings.
AMS D Nonferrous Alloys Committee
Castings, Leaded Bronze, Sand and Centrifugal 80Cu - 10Sn - 9.5Pb As CastAMS4842G (Current)11/25/2025
This specification covers a leaded bronze in the form of sand and centrifugal castings.
AMS D Nonferrous Alloys Committee
Cast Aluminum Alloy Composite 4.6Cu - 3.4Ti - 1.4B - 0.75Ag - 0.27Mg (205.0/TiB2/3p-T7P) Sand Cast, Solution, and Precipitation Heat TreatedAMS4482B (Current)11/25/2025
This specification covers a dilute aluminum/TiB2 metal matrix composite in the form of sand castings.
AMS D Nonferrous Alloys Committee
Cast Aluminum Alloy Composite, 4.6Cu - 3.4Ti - 1.4B - 0.75Ag - 0.27Mg (205.0/TiB2/3p-T7P), Investment Cast, Solution and Precipitation Heat TreatedAMS4471C (Current)11/25/2025
This specification covers a dilute aluminum/TiB2 metal matrix composite in the form of investment castings.
AMS D Nonferrous Alloys Committee
Verifying large alternate product code for an J document - J112425-2J_2112420000000000000000000000/2X_202511 (Current)11/24/2025
Verifying large alternate product code for an J document - J112425-2
Active Safety Systems Standards Committee
Verifying large alternate product code for an AMS document - AMS112425-1AMS112425XXXXXXXXXXXXXXXXXXXXXX-1 (Current)11/24/2025
Verifying large alternate product code for an AMS document - AMS112425-1
A-10 Aircraft Oxygen Equipment Committee
Core, Honeycomb, Aluminum Alloy, Corrosion Inhibited For Sandwich Construction, 5052, 350 (177)AMS4348F (Current)11/21/2025
This specification covers bonded honeycomb core made of aluminum alloy and supplied in the form of blocks, slices, or other configurations as ordered.
AMS D Nonferrous Alloys Committee
Aluminum Alloy, Extruded Wide Panel Profiles (7150-T77511), 6.4Zn - 2.4Mg - 2.2Cu - 0.12Zr, Solution Heat Treated, Stress-Relieved, Straightened and OveragedAMS4325B (Current)11/21/2025
AMS4325A prohibits unauthorized exceptions (3.7), revises condition (3.2), properties (3.4.5), quality (3.5.1), reports (4.4.1), and identification (5.1.1), and results from a Five-Year Review and update of this specification.
AMS D Nonferrous Alloys Committee
Aluminum Alloy, Die Castings 8.5Si - 3.5Cu (A380.0-F) As Cast AMS4291K (Current)11/21/2025
This specification covers an aluminum alloy in the form of die castings.
AMS D Nonferrous Alloys Committee
Aluminum Alloy, Die Castings 9.5Si - 0.50Mg (360.0-F) As Cast AMS4290N (Current)11/21/2025
This specification covers an aluminum alloy in the form of die castings.
AMS D Nonferrous Alloys Committee
Aluminum Alloy Castings, Centrifugal 7.0Si - 0.30Mg (356.0-T6) Solution and Precipitation Heat Treated AMS4285G (Current)11/21/2025
This specification covers an aluminum alloy in the form of centrifugal castings.
AMS D Nonferrous Alloys Committee
Aluminum Alloy Castings, Permanent Mold 7.0Si - 0.30Mg (356.0-T6) Solution and Precipitation Heat Treated AMS4284L (Current)11/21/2025
This specification covers an aluminum alloy in the form of permanent mold castings.
AMS D Nonferrous Alloys Committee
Aluminum Alloy, Castings, 5.0Si - 1.2Cu - 0.50Mg (C355.0-T6), Solution and Precipitation Heat TreatedAMS4215K (Current)11/13/2025
This specification covers an aluminum alloy in the form of sand, permanent mold, composite mold, and investment castings.
AMS D Nonferrous Alloys Committee
Arresting Hook Installation, Land-Based AircraftARP1538C (Current)11/11/2025
This SAE Aerospace Recommended Practice (ARP) covers the recommended criteria and performance requirements for the design and installation of land-based aircraft emergency and operational arresting hooks for use on runway arresting systems. Design criteria for fully operational hooks and for carrier-based aircraft hook installations are contained in specification MIL-A-18717.
A-5B Gears, Struts and Couplings CommitteeNEW
Automated Gaseous Nitrocarburizing Controlled by PotentialsAMS2759/12C (Current)11/10/2025
This specification covers the requirements for producing a continuous white layer with controlled extent of porosity by means of a gaseous process, automatically controlled to maintain set values of the nitriding and carburizing potentials that determine properties of the nitrocarburized surface. Automatic control is intended to ensure repeatability of nitrogen and carbon content of the white layer which influences properties such as wear and corrosion resistance, ductility and fatigue strength.
AMS B Finishes Processes and Fluids Committee
Cover Assembly, Electrical, for MS27212 Terminal Board AssemblyAS18029E (Historical)10/02/2025
Scope is unavailable.
AE-8C2 Terminating Devices and Tooling Committee
Aluminum Alloy, Plate (7085-T7651) 7.5Zn - 1.6Cu - 1.5Mg - 0.12Zr Solution Heat Treated, Stress-Relieved, and OveragedAMS4329C (Current)09/30/2025
This specification covers an aluminum alloy in the form of plate 4.001 to 7.000 inch, incl. (101.62 to 177.80 mm, incl.) in thickness (see 8.4).
AMS D Nonferrous Alloys Committee
IAQG-03282025-1 IAQG-03282025-1 (Current)04/02/2025
IAQG-03282025-1
IAQG-1 Standards Committee
Analysis of Left-Turn Mixed Traffic Flow Dynamics at Y-Shaped Signalized Intersections Using Cellular Automata2025-01-720402/21/2025
Through the method of on-site video observation, this study divides the intersection area into three parts according to the road traffic characteristics of the Y-shaped signalized intersections, and at the same time obtains the relevant parameters. These parameters include the left-turn speed and traffic density of motor vehicles within both the internal and exit areas, the frequency of lane-changing and queuing behaviors of non-motorized vehicles in the internal area, and the left-turn speed and traffic density of non-motorized vehicles in both the internal and exit areas. The data extraction and analysis of the parameters provide strong data support for further analysis of the subsequent mixed traffic flow. A cellular automaton model is developed using the intersection’s exit area as the scenario. The exit area is divided into three lanes based on the queuing patterns of mixed traffic. Corresponding traffic rules are established according to the traffic density of motorized and non
Yuan, Li, Liu, Xiaowei
OPTIMISED DESIGN SOLUTION FOR FLOOR CONSOLE AND SIMILAR COMPONENTS2024-26-032001/16/2024
Traditionally floor console design requires structural part inside the assembly to mount surrounding parts to withstand various load cases and functionality. this leads to heavy assembly weight & greater number of parts in assembly. This will also impact on overall cost of the component as well as assembly cycle time, logistics & maintenance cost. In order to address this issue for any floor console or similar component which requires structural part inside for rigidity we thought of redesigning our parts and use of CPSF injection molded parts without impacting aesthetics. Counter pressure structural foam (CPSF) process allows us to design in more structural and thicker parts while still it gives good class a quality. CPSF process is similar to IM process only, but here along with thermoplastic materials in pelletized form and blowing agent is also added in hopper in proper ratio. Components similar like floor console requires more strengthen parts for holding loads & occupant sitting
Kole, Abhinandan, John, Pramod, pena, Geofrey
Identification and Evaluation of Passthroughs That Affect the Acoustic Performance of a Dash System2025-01-012105/05/2023
This paper discusses a systematic process that was developed to evaluate the acoustic performance of a production electric vehicle dash system. The production dash panel was tested under different configurations to understand the importance of passthroughs in the acoustics of the dash 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 STL. The dash with passthroughs was then extensively tested to understand the acoustic strength of different passthroughs and to understand how these passthroughs affect the overall performance of the dash system. Subsequently a test procedure based on flat panel tests was developed so the OEM can develop target values and the suppliers can provide test results of their passthroughs that are meaningful and useful to the OEM to help build an acoustically competitive vehicle.
Saha, Pranab, Baack, Gregory, Geissler, Christian, Kaluvakota, Srikanth, Pilz, Fernando
682 Guidance for Air Transport Service Bulletins (TEST POPST CT and APPSEARCH)ARINC682 (Current)09/21/2022
This document provides industry guidance to supplement ATA standards and airframe requirements, addressing gaps and vague areas to move suppliers/vendors and airframers toward a common standard for format and wording in Vendor Service Bulletins (VSB) for Air Transport components. This document supplements the VSB guidance of iSpec 2200, providing clarity of requirements and resulting in a common standard wording and format of VSBs from all suppliers on all aircraft types. The guidance in this document is intended to be applied to VSBs created and released subsequent to the release of the guidance document and will not require the retroactive update of VSBs released prior to the creation and release of the guidance.
NASA Goddard Space Communications Workshop PreviewTBMG-4641108/18/2022
Since the first satellite launched over six decades ago, spacecraft have relied on radio waves to communicate with Earth. But radio has its limitations. With more and more satellites now in space and entry of commercial players as well as the growing demand for space services, the field of space communications is primed for disruption.
A Multi-axle and Multi-Type Truck Classification Model for Dynamic Load Recognition2022-01-015803/29/2022
Overloading of trucks can easily cause damage to roads, bridges and other transportation facilities, and accelerate the fatigue loss of the vehicles themselves, and accidents are prone to occur under overload conditions.In recent years, various countries have formulated a series of management methods and governance measures for truck overloading.However, the detection method for overload behavior is not efficient and accurate enough.At present, the method of dynamic load identification is not perfect. No matter whether it is the dynamic weight measurement method of reconstructing the road surface or the non-contact dynamic weight measurement method, little attention is paid to the difference of different vehicles.Especially for different vehicles, there should be different load limits, and the current devices are not smart enough.Therefore, this paper hopes to design an image processing algorithm to automatically classify different types of trucks, and then calculate the actual load of
Qi, Fei
Identification of the Nonlinear Dynamic Behavior of Magnetorheological Fluid Dampers using Adaptive Neuro-Fuzzy Inference System2022-01-032903/29/2022
Adaptive neuro-fuzzy inference system (ANFIS) technique has been developed and applied by numerous researchers as a very useful predictor for nonlinear systems. In this paper, non-parametric models have been investigated to predict the direct and inverse nonlinear dynamic behavior of magnetorheological (MR) fluid dampers using ANFIS technique to demonstrate more accurate and efficient models. The direct ANFIS model can be used to predict the damping force of the MR fluid damper and the inverse dynamic ANFIS model can be used to offer a suitable command voltage applied to the damper coil. The architectures and the learning details of the direct and inverse ANFIS models for MR fluid dampers are introduced and simulation results are discussed. The suggested ANFIS models are used to predict the damping force of the MR fluid damper accurately and precisely. Moreover, validation results for the ANFIS models are proposed and used to evaluate their performance. Validation results with several
abd elwahed, A., Monieb, H. A., Metered, H.
Dynamic Behavior Prediction of Magnetorheological Fluid Dampers using Neural Networks2022-01-032803/29/2022
Parametric and non-parametric models have been studied to predict the behavior of magnetorheological (MR) fluid dampers by a lot of researchers due to their nonlinear dynamics. In this paper, the direct and inverse dynamic identification for MR fluid dampers using recurrent neural networks are investigated to demonstrate more accurate and efficient model. The effect of neural networks construction on the prediction quality of dynamic performance of MR damper is introduced in details. The trained direct identification neural network model can be used to predict the damping force of the MR fluid damper on line and the inverse dynamic neural network model can be used to generate the command voltage applied to the damper coil through supervised learning. The architectures and the learning techniques of direct and inverse neural network models for MR fluid dampers are introduced and simulation results are discussed. Finally, the trained neural network models are used to predict the damping
abd elwahed, A., Monieb, H. A., Metered, H.
PACKING, PREFORMED, HYDROCARBON FUEL RESISTANT, "O" RINGAS29513C (Current)11/09/2021
A-6C2 Seals Committee
CRIMPING TOOLS, TERMINAL, HAND, WIRE TERMINATION; FOR CRIMP TYPE REMOVABLE CONTACTS, ELECTRIC CONNECTORSAS22520/17A (Current)11/09/2021
AE-8C2 Terminating Devices and Tooling Committee
CONTACTS, ELECTRICAL CONNECTOR, PIN, CRIMP REMOVABLE (FOR AS81659 SERIES 2 CONNECTORS)AS39029/11C (Historical)11/09/2021
AE-8C1 Connectors Committee
Self-Propelled Sweepers and Scrubbers Tank and Hopper Capacity RatingJ1793_202111 (Current)11/09/2021
This SAE Standard applies to self-propelled sweepers and scrubbers as defined in SAE J2130-1 and J2130-2.
MTC2, Sweeper, Cleaner, and Machinery
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