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Dear patrons, We’re excited to introduce SAE AI Chat – a new AI-powered feature now available in beta on Mobilus. With SAE AI Chat, you can: Ask natural language questions and receive responses derived from 12,000+ SAE standards Save time searching through extensive technical documents Summarize text and discover connections between different topics or publications The feature is currently in beta development phase and may have limitations. How to Get Access? This beta release is currently available only to a limited number of users. To request access: Visit our Signup Page Complete the form (< 2 minutes) We'll notify you if you've been selected for the beta program with instructions to login. We'll be rolling out access starting towards end of June 2025, so we encourage you to sign up promptly if you're interested. Have Questions? Visit the FAQs section or contact us for additional information. - The Mobilus Team

[ARCHIVED] Attn.: System maintenance @ 6 PM ET, April 15, 2025

Last updated: April 16, 2025, 09.11 AM ET Date posted (original message): April 15, 2025, 12.10 PM ET UPDATE: The maintenance work has been completed and the website is back up and running again. Thank you for your patience. ORIGINAL MESSAGE: Please note that this evening beginning at 6pm ET, we will be performing network maintenance on pieces of the core network infrastructure. We expect this work to last for 1 hour. During this period, access to Mobilus may be impacted and the site may be unreachable during this time. We will update once the maintenance activities have been completed. - The Mobilus team

[ARCHIVED] Experience WCX for Free—Expo Pass + Keynote Insights!

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Update: Issue has been resolved. Please reach out to CustomerService@sae.org if you have any questions. -- Hello, Please be aware that we are currently experiencing system issues / slowness on the platform, and our teams are working diligently to resolve the issue as quickly as possible. We apologize for any inconvenience and appreciate your patience and understanding. Thank you for your continued support. Best regards, The Mobilus Team

[ARCHIVED] Counter Reports Issue - Fixed

Last updated: November 11, 2024 [LATEST UPDATE] The issue has been fixed and Counter reports are now accessible through the portal. Usage data until the previous month (i.e. October 2024) can be pulled in reports. Useful links: FAQs: https://saemobilus.sae.org/help/counter-usage-reports Mobilus Minute video on Counter: https://www.youtube.com/watch?v=45s8S3ixURk Thank you for your patience and understanding. - The Mobilus team -- [PREVIOUS MESSAGE HISTORY] Original announcement: Please note that Counter Database Reports and Title Reports are currently experiencing technical issues, and our team is working on restoring all functionality as soon as possible. We have disabled usage data extraction, while we're looking into the issue. If you need immediate access to usage reporting, please reach out to your SAE Mobilus sales representative. Thank you for your patience, and we apologize for the inconvenience.

[ARCHIVED] Important Notice: Sunset of Mobilus 3.0

[LATEST UPDATE] The legacy version of Mobilus (Mobilus 3.0) has now been officially sunset. Thank you for your valuable feedback and continued support in helping to improve Mobilus. - The Mobilus team -- [PREVIOUS MESSAGE HISTORY] IMPORTANT UPDATE: Sunset of Mobilus 3.0 (legacy version) We would like to inform you of an important update regarding SAE Mobilus - As part of our ongoing commitment to enhancing your experience, the legacy version of the platform (Mobilus 3.0) will be phased out on October 31, 2024. The current website with the newly redesigned interface introduced back in April, featuring an intuitive interface, improved search capabilities, advanced search, and in-depth browsing capabilities, will continue to remain operational going forward to support your needs. What You Need to Know: Last Day of Service (Mobilus 3.0): October 31, 2024 Content Access: You will retain access to all subscribed content through your institutional subscription. Personal Preferences Migration: While most settings tied to your Dasboard in Mobilus 3.0 (alerts, annotations, folders) will transfer over to the new platform, saved searches will not be retained and will need to be recreated in the new platform through your complimentary My Library account. Access the New Platform: Your institutional preferences around login (IP authentication, SSO, username/password) will be retained. We appreciate your understanding during this transition. Thank you for your continued support. If you have any questions, please don’t hesitate to contact us. Answers to common questions / FAQs are accessible here. Best regards, The Mobilus Team SAE International

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Recent SAE Edge™ Research Reports

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Wing-in-Ground Effect Vehicles: From Modern Military and Commercial Development to Global Disaster Response

EPR202501711/24/2025

The wing-in-ground effect (WIG) vehicle represents a significant advancement in aerodynamics and vehicle design, leveraging the ground effect phenomenon to enhance lift and reduce drag when flying close to the surface. This unique capability allows WIG vehicles to achieve higher payloads, longer range, and greater fuel efficiency compared to traditional aircraft, making them an attractive option for modern military and global disaster response applications. Wing-in-Ground Effect Vehicles: From Modern Military and Commercial Development to Global Disaster Response discusses future disaster response, logistics, and military applications for WIG vehicles, including the ongoing development of aerospace and transportation technology. Relavant advancements in materials and propulsion systems holds promise for further enhancing WIG performance and operational range. Additionally, cost-effective and powerful flight computers with various types of mission-enabling sensor suites from the

Next-gen AI for Aerospace Engineering

EPR202501609/22/2025

Despite growing investments, the widespread adoption and scalable deployment of generative artificial intelligence (AI) remains a challenge due to data trustworthiness, regulatory uncertainty, interpretability, and ethical governance. The need to accelerate automation and maintain the human-in-the-loop demonstrates broader questions of responsibility and transparency. Next-gen AI for Aerospace Engineering investigates the transformative role of GenAI within aerospace engineering, examining its shift from conventional workflows toward more AI-driven solutions in design, manufacturing, and maintenance. It emphasizes GenAI’s emerging ability to automate repetitive mundane tasks, reduce design complexity, and optimize engineering pipelines. The report underscores the need for validation methods that must align AI-generated outputs with physics-informed models, integration with legacy engineering tools (e.g., computational fluid dynamics, finite element analysis, digital twins), and

Sustainable Circular Future Mobility: Environmental Impact of Next-gen Vehicles

EPR202501509/22/2025

The next generation of mobility, driven by shared, driverless, connected, and electrified vehicles, holds strong potential to advance sustainability through lower emissions and improved resource efficiency. However, critical questions remain regarding their true environmental impact, including battery lifecycle management, material consumption, and circular manufacturing practices. Sustainable Circular Future Mobility: Environmental Impact of Next-gen Vehicles explores these unresolved issues, focusing on the shift from internal combustion to electric vehicles, supply chain challenges, regulatory gaps, and the operational realities of sustainable productization. It also critically examines the risks of greenwashing, the need for consistent standards, and the role of intersectoral collaboration—with energy, urban planning, information and communications technologies, and waste management sectors—in building resilient, scalable solutions. The report provides strategic recommendations and

Small, Mobile, and Autonomous Agricultural Robots

EPR202501208/13/2025

The automation of labor-intensive picking and planting operations is having an immediate impact in the agricultural indutry. In its simplest form, robotic automation can reduce the labor and soil disturbance while enabling organic soil cover and increasing species diversification through precision approaches to planting, weeding, and spraying. With this, pesticides and fertilizers can be applied in a more targeted way, and with machinery visiting fields more frequently, earlier and more targeted intervention can occur before pests become established. Small, Mobile, and Autonomous Agricultural Robots identifies issues that need to be resolved fo for this technology to thrive, including improving methods of acquiring and labeling training data to facilitate more accurate models for specific applications. It also discusses concepts such as general-purpose mechanical platforms for use as carriers of agricultural automation systems with high stability, positional accuracy, and variable

Safety Impacts of Active Safety and Driving Automation Features

EPR202501308/13/2025

Advanced technologies that assist the human driver or reduce (or even eliminate) the human driver’s role are becoming increasingly prevalent in new light-duty vehicles used by the general public. These technologies are divided between Active Safety features that monitor the human driver and vehicle motion and act intermittently to mitigate and avoid crashes, and Driving Automation features that assume some or all of the dynamic driving task from the human driver. Both types of technologies have the potential to reduce injuries and save lives by reducing the frequency and/or severity of crashes. Safety Impacts of Active Safety and Driving Automation Features addresses the current capabilities and future potential for Active Safety and Driving Automation features to reduce crash frequency and severity and provides an overview of the state of the industry for both types of features, including current deployments, trends, and anticipated rollouts. Gaps in knowledge, unsettled issues, and

Hybrid Data- and Physical Model-driven Safe and Intelligent Motion Planning and Control for Autonomous Vehicles

EPR202501407/18/2025

Autonomous vehicle motion planning and control are vital components of next-generation intelligent transportation systems. Recent advances in both data- and physical model-driven methods have improved driving performance, yet current technologies still fall short of achieving human-level driving in complex, dynamic traffic scenarios. Key challenges include developing safe, efficient, and human-like motion planning strategies that can adapt to unpredictable environments. Data-driven approaches leverage deep neural networks to learn from extensive datasets, offering promising avenues for intelligent decision-making. However, these methods face issues such as covariate shift in imitation learning and difficulties in designing robust reward functions. In contrast, conventional physical model-driven techniques use rigorous mathematical formulations to generate optimal trajectories and handle dynamic constraints. Hybrid Data- and Physical Model-Driven Safe and Intelligent Motion Planning and

Product Assurance in the Age of Artificial Intelligence

EPR202501105/21/2025

Driven by the vast consumer marketplace, the electronics megatrend has reshaped nearly every sector of society. The advancements in semiconductors and software, originally built to serve consumer demand, are now delivering significant value to non-consumer industries. Today, electronics are making inroads into traditionally conservative, safety-critical sectors such as automotive and aerospace. In doing so, electronics—now further propelled by artificial intelligence—are disrupting the functional safety architectures of these cyber-physical systems. Electronics have created the world of cyber-physical systems, raising broader concerns about the broader category of product assurance. Product Assurance in the Age of Artificial Intelligence continues the work of previous SAE Edge Research Reports in examining open research challenges arising from this shift, particularly in automotive systems, as core electronic technologies (e.g., the combination of software and communications) have even

Edge Artificial Intelligence in Connected, Cooperative and Automated Mobility

EPR202500905/20/2025

With many stakeholders involved, and major investments supporting it, the advancements in automated driving (AD) are undoubtedly there. Generally speaking, the motivation for advancing AD is driver convenience and road safety. Regarding the development of AD, original equipment manufacturers, technology start-ups, and AD systems developers have taken different approaches for automated vehicles (AVs). Some manufacturers are on the path toward stand-alone vehicles, mostly relying on onboard sensors and intelligence. On the other hand, the connected, cooperative, and automated mobility (CCAM) approach relies on additional communication and information exchange to ensure safe and secure operation. CCAM holds great potential to improve traffic management, road safety, equity, and convenience. In both approaches, there are increasingly large amounts of data generated and used for AD functions in perception, situational awareness, path prediction, and decision-making. The use of artificial

Leveraging Advanced Data Technologies for Smart Traffic Management

EPR202500805/20/2025

The transportation industry is transforming with the integration of advanced data technologies, edge devices, and artificial intelligence (AI). Intelligent transportation systems (ITS) are pivotal in optimizing traffic flow and safety. Central to this are transportation management centers, which manage transportation systems, traffic flow, and incident responses. Leveraging Advanced Data Technologies for Smart Traffic Management explores emerging trends in transportation data, focusing on data collection, aggregation, and sharing. Effective data management, AI application, and secure data sharing are crucial for optimizing operations. Integrating edge devices with existing systems presents challenges impacting security, cost, and efficiency. Ultimately, AI in transportation offers significant opportunities to predict and manage traffic conditions. AI-driven tools analyze historical data and current conditions to forecast future events. The importance of multidisciplinary approaches and

Automated Vehicles and Infrastructure Enablers: Dedicated Lanes

EPR202500704/24/2025

Dedicated lanes provide a simpler operating environment for ADS-equipped vehicles than those shared with other roadway users including human drivers, pedestrians, and bicycles. This final report in the Automation and Infrastructure series discusses how and when various types of lanes whether general purpose, managed, or specialty lanes might be temporarily or permanently reserved for ADS-equipped vehicles. Though simulations and economic analysis suggest that widespread use of dedicated lanes will not be warranted until market penetration is much higher, some US states and cities are developing such dedicated lanes now for limited use cases and other countries are planning more extensive deployment of dedicated lanes. Automated Vehicles and Infrastructure: Dedicated Lanes includes a review of practices across the US as well as case studies from the EU and UK, the Near East, Japan, Singapore, and Canada. Click here to access the full SAE EDGETM Research Report portfolio.

Latest Journal Issues

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Passenger Vehicle Systems

Electrified Vehicles

Advances and Current Practices in Mobility

Sustainable Transportation, Energy, Environment, & Policy

Connected and Automated Vehicles

Transportation Cybersecurity and Privacy

Vehicle Dynamics, Stability, and NVH

Transportation Safety

Alternative Powertrains

Commercial Vehicles

Engines

Materials and Manufacturing

Fuels and Lubricants

Aerospace

Passenger Cars - Mechanical Systems

Recent Books

Browse All 710

Manufacturing Reliability Growth for Automotive Engineering Volume III

R-55112/11/2025

As the third installment in SAE International's DOE for Product Reliability Growth series, this volume explores the critical intersection of manufacturing processes, reliability, and profitability in automotive engineering. With a sharp focus on innovation, cost-efficiency, and customer satisfaction, this book demonstrates how design of experiments (DOE) methodologies can transform product quality through smarter manufacturing decisions. From structural assemblies to additive manufacturing, Volume III offers hands-on, data-driven guidance for engineers and professionals. Key topics include: • Structural Joints: Analyze and optimize bonded and mechanical joints-bolts, rivets, welds, adhesives, and more-using real-world DOE case studies to ensure robust assembly. • Mechanical Fabrication: Improve precision and consistency in processes like injection molding, drilling, heat treatment, and surface finishing through targeted DOE applications. • Electronic Fabrication: Harness DOE to enhance

Pedestrian Accident Reconstruction

R-59010/30/2025

As technology advances, so too must the methods we use to investigate and understand pedestrian collisions. Pedestrian Accident Reconstruction provides a much-needed update to the field—one that reflects the dramatic rise in digital evidence and the growing role of simulation in modern reconstructions. While earlier texts laid the foundation for understanding pedestrian impacts, they were written before the widespread use of video footage, onboard vehicle sensors, and powerful simulation software. This book addresses that shift. It introduces updated methods that incorporate event data recorders, surveillance video, dash cams, and advanced simulation tools like the PC-Crash multibody pedestrian model. These technologies allow for more precise, repeatable, and illustrative reconstructions than ever before. The book highlights when and how simulation can enhance an investigation—especially in complex scenarios such as roof vaults, sideswipes, or collisions that defy conventional

Composite Materials Handbook Volume 3 - Revision H

R-64010/16/2025

The third volume of this six-volume compendium provides methodologies and lessons learned for the design, analysis, manufacture, and field support of fiber-reinforced, polymeric-matrix composite structures. It also provides guidance on material and process specifications and procedures for using the data that is presented in Volume 2. The information provided is consistent with the guidance provided in Volume 1, and is an extensive compilation of the current knowledge and experiences of engineers and scientists from industry, government, and academia who are active in composites. The Composite Materials Handbook, referred to by industry groups as CMH-17, is a six-volume engineering reference tool that contains over 1,000 records of the latest test data for polymer matrix, metal matrix, ceramic matrix, and structural sandwich composites. CMH-17 provides information and guidance necessary to design and fabricate end items from composite materials. It includes properties of composite

Beyond Compliance: Leveraging AS9100D and ISO9001:2015 Audit Findings for Continual Improvement

R-59210/10/2025

Beyond Compliance is more than just another quality management guide—it’s a powerful, practical roadmap for aerospace, defense, and manufacturing organizations committed to excellence through AS9100D and ISO 9001:2015 standards. Every year, thousands of companies face audits. And every audit reveals something: nonconformities, gaps, or hidden inefficiencies. These findings can be brushed aside—or they can become the spark for meaningful change. This book shows you how to choose the latter. Drawing on decades of real-world auditing, consulting, and industry experience, the author presents 137 real case studies—true stories from actual audits that uncover critical lessons and opportunities. Each scenario is designed to engage, educate, and equip you with practical insights you can apply immediately to your own processes. Beyond Compliance challenges the idea that audits are just about passing or failing. Instead, it presents a new mindset: audits are not the end—they're the beginning of

McLaren: The Engine Company, Second Edition

R-58910/10/2025

McLaren: The Engine Company is the previously untold story of McLaren Engines-an American powerhouse founded in 1969 by Bruce McLaren and his partners to support the legendary McLaren Can-Am and Indy Car programs. From a modest facility in suburban Detroit came thunderous 8-liter Chevrolet V8s that carried McLaren's signature papaya-orange racecars to dominate the final years of Can-Am racing. The dyno rooms echoed with innovation, producing 1,000-horsepower turbo Offenhausers that twice put McLaren in Victory Lane at the Indianapolis 500 between 1972 and 1976. This updated second edition features newly added historical images and refined content that brings fresh clarity to the remarkable legacy of McLaren Engines. Though the core story remains the same, these updates enhance the reader's experience and provide richer visual context to the engineering feats described throughout. Inside, you'll explore how this unassuming shop on Eight Mile Road became a magnet for top manufacturers

Mobility Reimagined: My First Decade at the Crossroads of Change

R-57310/09/2025

In Mobility Reimagined, Umar Zakir Abdul Hamid shares an unfiltered, deeply personal account of his first decade navigating the rapidly evolving automotive and mobility sectors. From engineering labs in Malaysia and Japan, to startup scenes in Southeast Asia and Finland, to boardrooms in Europe, keynote stages in China, and virtual standardization sessions with professionals in the US, Umar traces a career shaped by curiosity, courage, and a commitment to democratizing opportunity. As a brown Southeast Asian professional rising in an industry historically shaped by Western and East Asian leadership, Umar offers more than technical insight, he opens a window into what it takes to lead across borders, disrupt legacy systems, and redefine success on his own terms. This book is part strategy guide, part industry overview, and part leadership memoir. It speaks to young professionals, especially those from underrepresented backgrounds, offering hard-won lessons on global expansion, digital

Software Defined Vehicles

R-59509/22/2025

Software Defined Vehicles This book provides a clear, in-depth introduction to the concept of software-defined vehicles (SDVs) and their role in the changing mobility ecosystem. It explores how software has become the core enabler of innovation, allowing manufacturers to deliver new features, safety functions, and comfort enhancements to their customers after a vehicle leaves the showroom floor. From advanced driver assistance systems (ADAS) to AI-powered co-pilots, SDVs are shifting the focus from hardware to dynamic, user-centric, service models that offer continuous software updates and upgrades. Software Defined Vehicles also delves into the broader societal and consumer shifts driving this change. Readers will gain insight into how new generations view transportation, how business models like Mobility as a Service (MaaS) are evolving, and why sustainability and flexibility now take precedence over traditional car ownership. Whether you're a technology professional, automotive

Sustainable and Affordable Mobility for All: Putting the Heart Back into Technology

R-58608/14/2025

Sustainable and Affordable Mobility for All offers a bold, yet practical vision for the future of transportation. Drawing from deep technical expertise and global experience, Chris Borroni-Bird presents a transformative approach to the automotive industry, tackling critical issues like economic development, environmental sustainability, and universal access. This groundbreaking book explores how advanced technologies such as electric, autonomous, and connected vehicles can revolutionize not only personal mobility but also urban transport and public systems. It calls for a shift toward "right-sized" vehicles, designed to meet real-world needs without over-engineering. Borroni-Bird’s solutions are scalable and adaptable to both developed and developing markets, ensuring affordable and sustainable mobility for all. With insights from 30 years of rapid innovation, including ridesharing platforms and robotaxis, this book blends technology, human factors, and sustainability to inspire a

Metallic Materials Properties Development and Standardization (MMPDS) Handbook - 2025 - Volume I

B-993_VOLUME108/13/2025

The Metallic Materials Properties Development and Standardization MMPDS-2025 supersedes MMPDS-24 and prior editions of the MMPDS Handbook as well as all editions of MIL-HDBK-5, Metallic Materials and Elements for Aerospace Vehicle Structures Handbook that were maintained by the U.S. Air Force. The last edition, MIL-HDBK-5J was cancelled by the U.S. Air Force in March 2006. This document contains design information on the mechanical and physical properties of metallic materials and joints commonly used in aircraft and aerospace vehicle structures. All information contained in this Handbook has been reviewed and approved using a standardized process. The development and ongoing maintenance process involves certifying agencies, including the FAA, DoD, and NASA, and major material suppliers and material users worldwide. The information and procedures in this Handbook are continuously reviewed and modified or removed as determined to be appropriate. With advances in materials and fastener

Metallic Materials Properties Development and Standardization (MMPDS) Handbook - 2025 - Volume II

B-993_VOLUME208/13/2025

Volume II publishes the framework for generating and analyzing the data so that material sponsors can generate the right data, knowing how it will be analyzed by the Battelle Memorial Institute. MMPDS-2025 Volume II Process Intensive Materials and Joining Technologies does not currently have any material properties, focusing on additive manufacturing of metallic materials. MMPDS-2025 Volume II focuses on non-conventional processes and will be published each year. Volume I: Conventional Materials and Joint Allowables.

Recently Published

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2024–2025 Reviewers

13-06-03-0026

12/12/2025

2024–2025 Reviewers

Pilla, Srikanth

SAE TOMORROW TODAY - Powering the Next Wave of EV Adoption

1354712/12/2025

There's no doubt that convenience is the new currency for EV owners. But given the tug-of-war between utilities, data centers, and EV charging infrastructure providers, what does it all mean for consumers and commercial fleets? Listen in as we sit down with Jason Greenblatt, Senior Practice Consultant at Energetics, to explore the latest data, trends, and opportunities driving EV adoption. Discover how home and workplace charging options can transform consumer habits, what's really behind public charging prices, and how smart software and load management can revolutionize EV fleet charging while saving money and stabilizing the power grid. We'd love to hear from you. Share your comments, questions and ideas for future topics and guests to podcast@sae.org. Don't forget to take a moment to follow SAE Tomorrow Today--a podcast where we discuss emerging technology and trends in mobility with the leaders, innovators and strategists making it all happen--and give us a review on your

Patterson, Lori

Tailpipe NOx Emissions Modeling of a Heavy-Duty Diesel Truck Using Deep Learning Methods

03-18-08-0048

12/11/2025

This study develops deep learning (DL) long–short-term memory (LSTM) models to predict tailpipe nitrogen oxides (NOx) emissions using real-driving on-road data from a heavy-duty Class 8 truck. The dataset comprises over 4 million data points collected across 11,000 km of driving under diverse road, weather, and load conditions. The effects of dataset size, model complexity, and input feature set on model performance are investigated, with the largest training dataset containing around 3.5 million data points and the most complex model consisting of over 0.5 million parameters. Results show that a large and diverse training dataset is essential for achieving accurate prediction of both instantaneous and cumulative NOx emissions. Increasing model complexity only enhances model performance to a certain extent, depending on the size of the training dataset. The best-performing model developed in this study achieves an R2 higher than 0.9 for instantaneous NOx emissions and less than a 2

Shahpouri, Saeid, Jiang, Luo, Koch, Charles Robert, Shahbakhti, Mahdi

Manufacturing Reliability Growth for Automotive Engineering Volume III

R-55112/11/2025

Chiang, Young J.

Aircraft Skin Pressures and Temperatures

AIR8469 (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

CONNECTORS, ACCESSORIES, COMPOSITE, RFI/EMI, ELECTRICAL, STRAIN RELIEF, 90°, SELF-LOCKING, CATEGORY 3C (FOR MIL-DTL-38999 SERIES III AND IV CONNECTORS)

AS85049/105D (Current)

12/11/2025

AE-8C1 Connectors Committee

Aircraft Pressures and Temperatures – Resource Document

AIR8471 (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

Procedures for Determining and Verifying Peening Intensity

J443_202512 (Current)

12/11/2025

This SAE Standard defines the method for deriving and verifying the peening intensity exerted onto a part surface during shot peening or other surface enhancement processes.

Surface Enhancement Committee

Identification of Runway Friction Coefficient Using Extended Kalman Filter

09-13-02-0012

12/11/2025

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

FMVSS 105 Inertia Brake Dynamometer Test Procedure for Vehicles Above 4540 kg GVWR

J2684_202512 (Current)

12/11/2025

This SAE Recommended Practice is derived from the FMVSS 105 vehicle test and applies to two-axle multipurpose passenger vehicles, trucks, and buses with a GVWR above 4540 kg (10000 pounds) equipped with hydraulic service brakes. There are two main test sequences: the Development Test Sequence for generic test conditions when not all information is available or when an assessment of brake output at different inputs is required, and the FMVSS Test Sequence when vehicle parameters for brake pressure as a function of brake pedal input force and vehicle-specific loading and brake distribution are available. The test sequences are derived from the Federal Motor Vehicle Safety Standard 105 (and 121 for optional sections) as single-ended inertia-dynamometer test procedures when using the appropriate brake hardware and test parameters. This recommended practice provides Original Equipment Manufacturers (OEMs), brake and component manufacturers, and aftermarket suppliers with results related to

Truck and Bus Hydraulic Brake Committee

Comparative Performance Data for Extra-High Strength Copper Alloy Conductors

AIR7145 (Current)

12/11/2025

This AIR is limited to the testing of an extra-high strength copper alloy and benchmark conductors utilizing the test protocol of AS6324. All samples are 19 strand unilay conductors per AS29606 at 24 or 26 AWG, either nickel or silver coated. At 24 AWG, extra-high strength copper alloy is compared to high strength copper alloy conductors. At 26 AWG, extra-high strength copper alloy is compared to high strength copper alloy and ultrahigh strength copper alloy conductors.

AE-8D Wire and Cable Committee

CONNECTOR ACCESSORIES, ELECTRICAL, BACKSHELL, NONENVIRONMENTAL, STRAIGHT, SHIELD TERMINATION, CATEGORY 3A (FOR AS50151 CRIMP, MIL-DTL-26482 SERIES 2, AS81703 SERIES 3, AND MIL-DTL-83723 SERIES III CONNECTORS)

AS85049/25C (Current)

12/11/2025

AE-8C1 Connectors Committee

BEARING, ROLLER, NEEDLE, SINGLE ROW, HEAVY DUTY, TRACK ROLLER, SEALED, TYPE V ANTIFRICTION, INCH

AS21438E (Current)

12/11/2025

ACBG Rolling Element Bearing Committee

INSTALLATION PROCEDURES - PIN/PLUG EXPANSION TYPE

AIR3277A (Current)

12/11/2025

E-25 General Standards for Aerospace and Propulsion Systems

Automatic Transmissions - Schematic Diagrams

J647_202512 (Current)

12/11/2025

The following schematic diagrams reflect various methods of illustrating automotive transmission arrangements. These have been developed to facilitate a clear understanding of the functional interrelations of the gearing, clutches, hydrodynamic drive unit, and other transmission components. Two variations of transmission diagrams are used: in neutral (clutches not applied) and in gear. For illustrative purposes, some typical transmissions are shown.

Automatic Transmission and Transaxle Committee

SAE Truck & Off-Highway Engineering: December 2025

25TOFHP1212/11/2025

AVSC Information Report on Automated Driving System-Dedicated Vehicle (ADS-DV) Stopped Conditions

AVSC-I-06-202512/11/2025

AVSC Information Report on Automated Driving System-Dedicated Vehicle (ADS-DV) Stopped Conditions provides a taxonomy of stopped conditions and definitions of key terms and concepts that can support stakeholder discussions around these topics. By offering guidance on appropriate use of terminology related to ADS-DV stops, this report clarifies complex technical concepts and contributes to a more unified understanding across the industry.

Automated Vehicle Safety Consortium

Seamless Low-Carbon Steel Tubing Annealed for Bending and Flaring

J524_202512 (Current)

12/11/2025

This SAE Standard covers cold drawn and annealed seamless low-carbon steel pressure tubing intended for use as hydraulic lines and in other applications requiring tubing of a quality suitable for flaring and bending. In an effort to standardize within a global marketplace and ensuring that companies can remain competitive in an international market it is the intent to convert to metric tube sizes which will: Lead to one global system Guide users to preferred system Reduce complexity Eliminate inventory duplications

Metallic Tubing Committee

CONNECTOR, RECEPTACLE, ELECTRIC, WALL MOUNTING, SOLDER CONTACTS, AN TYPE

AS31001C (Current)

12/10/2025

AE-8C1 Connectors Committee

Nickel Alloy, Corrosion- and Heat-Resistant, Bars, Forgings, Rings and Stock for Forging, Rings and Heading, 65Ni - 15.8Cr - 15.2Mo - 0.30Al - 0.05La (HASTELLOY® S), Consumable Electrode Remelted, Solution Heat Treated

AMS5711G (Current)

12/10/2025

This specification covers a corrosion- and heat-resistant nickel alloy in the form of bars, forgings, flash-welded rings, and stock for forging, flash-welded rings, or heading.

AMS F Corrosion and Heat Resistant Alloys Committee

Plating, Brush, General Requirements

AMS2451E (Current)

12/10/2025

This specification and its supplementary slash specifications establish the requirements for electrodeposition of metals by brush plating.

AMS B Finishes Processes and Fluids Committee

Oxygen Systems and Components Maintenance and Service Practices

ARP5932 (Current)

12/10/2025

This SAE Aerospace Recommended Practice (ARP) provides general guidelines and procedures for servicing and maintaining oxygen systems. These methods may apply to gaseous, liquid, chemical, and portable oxygen systems. This document is not intended to replace manufacturer or airline maintenance manuals but rather to emphasize the importance of the adherence to such practices and that they be followed. Attention is given to ensure the cleanliness of oxygen systems and components are respected and appropriate practices are followed. This document provides guidance and recommendations, for engineering and maintenance personnel for airlines, modification centers, and third-party maintenance contractors, to be used while performing maintenance on oxygen systems and components. This document is intended as guidance only and may not be cited as a requirement.

A-10 Aircraft Oxygen Equipment Committee

ARP4955B (Current)

12/10/2025

The purpose of this SAE Aerospace Recommended Practice (ARP) is to establish general guidelines for the measurement of static and dynamic characteristic properties of aircraft tires.

A-5C Aircraft Tires Committee

A Study on Container Transportation Forecast of Jinzhou Port Based on Improved Logistic Model

2025-99-0460

12/10/2025

To promote the development of bulk grain and container transportation at Jinzhou Port while enhancing port efficiency, this study investigates how to further improve the bulk grain container transportation method to increase market competitiveness. The aim is to propose new strategic ideas for expanding market presence and strengthening competitive capabilities. The paper presents the strategic objectives for the development of bulk grain container transportation at Jinzhou Port and conducts a comprehensive analysis of the internal and external environments of this transportation mode. This analysis facilitates the formulation of a detailed development plan and layout for current operations. Furthermore, the study proposes the necessary strategic positioning for the advancement of bulk grain container transportation, employing a logistic regression forecasting method to predict the annual throughput of bulk grain container operations at Jinzhou Port. Based on the forecasting results

Qi, Yin

Construction of an Intelligent Decision-Making System for Pavement Maintenance of Gansu Highway Based on DeepSeek

2025-99-0456

12/10/2025

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

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