Browse Topic: Management and Organizations

Items (14,472)

SAE TOMORROW TODAY - Scalable AV Deployment Starts with Fewer Close Calls

1351305/01/2025

The hallmark of exceptional autonomous driving technology isn't just how it reacts in a crisis but how it avoids one altogether. That's the vision behind May Mobility: a world where self-driving cars confidently navigate busy intersections, unexpected detours, and pedestrian-filled crosswalks with the instincts of a seasoned human driver. At the core of May Mobility's technology platform is its patented Multi-Policy Decision Making (MPDM) system. This breakthrough technology uses real-time, in-situ AI to interpret data, continuously learning and adapting to new, complex, and unpredictable driving conditions. By learning on the fly--much like a human driver--May Mobility's AVs can be deployed faster and more cost-effectively than traditional systems. To explore how May Mobility is scaling its AV technology, we spoke with Ed Olson, CEO and Founder, about the company's city-wide AV deployments, strategic partnerships with Toyota and NTT, and its entrance into the rideshare market through

Hineman, Marcie

Basic Science and Art of Aircraft Wreckage Reconstruction

R-48004/23/2025

Basic Science and Art of Aircraft Wreckage Reconstruction is a unique title which addresses important aspects of investigating crashes, who does this kind of work, and how a healthy attitude and open mind are required to properly perform investigations. It also discusses what to expect from the on-scene part of the investigation, and the fundamental approaches to common types of wreckage reconstruction. Written by Don Knutson, a veteran of this industry, Basic Science and Art of Aircraft Wreckage Reconstruction is intended for the practitioner, student, or those who are simply curious about how aircraft wreckage is reconstructed. Full references are provided in the various chapters for additional reading and research. Many examples of aircraft crash scenarios and circumstances are presented in a "generic" form but relate to actual investigations, which should prove as a useful investigative resource whether you are an apprentice or an experience professional with a government aviation

Knutson, Donald F.

Virtual Calibration Approach to the Development of Control Systems and Strategies for Hybrid L-Category Vehicles

2024-32-006604/18/2025

Hybrid powertrain for motorcycles has not been widely adopted to date but has recently shown significant increased interest and it is believed to have great potential for fuel economy containment in real driving conditions. Moreover, this technology is suitable for the expected new legislations, reduced emissions and enables riding in Zero Emissions Zones, so towards a more carbon neutral society while still guaranteeing “motorcycle passion” for the product [1, 2]. Several simulation tools and methods are available for the concept phase of the hybrid system design, allowing definition of the hybrid components and the basic hybrid strategies, but they are not able to properly represent the real on-road behaviour of the hybrid vehicle and its specific control system, making the fine tuning and validation work very difficult. Motorcycle riders are used to expect instant significant torque delivery on their demand, that is not properly represented in legislative cycles (e.g. WMTC); rider

Antoniutti, Christian, Sweet, David, Hounsham, Sandra

Necessity of Body Torsional Rigidity of Personal Mobility Vehicles (PMVs) with an Inward Tilting Mechanism

2024-32-001304/18/2025

In traditional four-wheeled automobiles, the imbalance between the roll moment, which is the product of the centrifugal force during a turn acting on the center of gravity and the height of the center of gravity, and roll stiffness, which is the product of the left-right difference in tire vertical load and the tread width and commonly used among automotive suspension engineers, of the front and rear sections necessitates body torsional rigidity. However, there is a lack of specific cases and guidelines for constructing the body structure of three-wheeled PMVs (Personal Mobility Vehicles) with a tilting mechanism from the perspective of vehicle dynamics characteristics. In this paper, the basic considerations related to the dynamics of such three-wheeled PMVs are investigated. We use the term “torsional rigidity” to refer to the stiffness as the torsional deformation of the body itself, and the term “roll stiffness” to refer to the moment that counteracts the roll moment during a turn

Haraguchi, Tetsunori, Kaneko, Tetsuya

Fatigue Analysis of Motorcycle Rear Swing Arm on Different Road Surfaces

2024-32-004604/18/2025

The rear swing arm, a crucial motorcycle component, connects the frame and wheel, absorbing the vehicle’s load and various road impacts. Over time, these forces can damage the swing arm, highlighting the need for robust design to ensure safety. Identifying potential vulnerabilities through simulation reduces the risk of failure during the design phase. This study performs a detailed fatigue analysis of the swing arm across different road conditions. Data for this research were collected from real-vehicle experiments and simulation analyses, ensuring accuracy by comparing against actual performance. Following CNS 15819-5 standards, road surfaces such as poorly maintained, bumpy, and uneven roads were tested. Using Motion View, a comprehensive multi-body dynamic model was created for thorough fatigue analysis. The results identified the most stress-prone areas on the swing arm, with maximum stress recorded at 109.6N on poorly maintained roads, 218.3N on bumpy surfaces, and 104.8N on

Chiou, Yi-Hau, Hwang, Hsiu-Ying, Huang, Liang-Yu

Research on Intake Sound Tuning Method by Valve Timing Modification for Enhance Sound Quality in V6 Outboard Engine

2024-32-005904/18/2025

This paper explores methods to enhance the sound quality of V6 outboard engines. Previous research in the boat and outboard engine domain has underscored the importance of enhancing sound quality. Specific preferences and desired directions for outboard engine sound quality have been identified. It’s been suggested that controlling intake sound and gear noise is important to achieving desired sound quality according to customer preferences. However, there are few examples of methods for achieving this. This study aims to develop methods for enhancing sound quality by emphasizing low-frequency sounds through intake sound. Initially, various methods were evaluated, and intake valve timing modification was chosen. Simple simulations confirmed that delaying valve timing for some cylinders may introduce characteristics that are not present in conventional cases. Subsequent 1D simulations identified optimal intake valve timing, balancing intake pressure characteristics and horsepower

Muramatsu, Hideta, Matsumoto, Taro, Naoe, Gaku, Kondo, Takashi

Statistical Analysis of Data Acquired from Propagating Flames in Gasoline Engines Using a Multiple Ion Probe

2024-32-003504/18/2025

Multiple-ion-probe method consists of multiple ion probes placed on the combustion chamber wall, where each individual ion probe detects flame contact and records the time of contact. From the recorded data, it is also possible to indirectly visualize the inside of the combustion chamber, for example, as a motion animation of moving flame front. In this study, a thirty-two ion probes were used to record flames propagating in a two-stroke gasoline engine. The experiment recorded the combustion state in the engine for about 3 seconds under full load at about 6500 rpm, and about 300 cycles were recorded in one experiment. Twelve experiments were conducted under the same experimental conditions, and a total of 4,164 cycles of signal data were obtained in the twelve experiments. Two types of analysis were performed on this data: statistical analysis and machine learning analysis using a linear regression model. Statistical analysis calculated the average flame detection time and standard

Yatsufusa, Tomoaki, Okahira, Takehiro, Nagashige, Kohei

Study on Motorcycle Rider Model Using Reinforcement Learning - Learning Examples Including Following Target Velocity and Basic Research on Rider Proficiency

2024-32-002804/18/2025

In this study, an initial approach using deep reinforcement learning to replicate the complex behaviors of motorcycle riders was presented. Three learning examples were demonstrated: following a target velocity, maintaining stability at low speeds, and following a target trajectory. These examples serve as a starting point for further research. Additionally, the proficiency of the constructed models was examined using rider proficiency evaluation methods developed in previous studies. Initial results indicated that the models have the potential to mimic real rider behaviors; however, challenges such as differences between the model’s output and what humans can produce were also identified for future work.

Mitsuhashi, Yasuhiro, Momiyama, Yoshitaka, Yabe, Noboru

Impacts of Pulsating Flow on Topologically Optimized Porous Reactors in Convection-Diffusion-Reaction Systems

2024-32-007004/18/2025

Topology optimization (TO) in electrochemical systems has recently attracted many researchers. Previous studies suggested minimal performance differences between 2D and 3D designs, indicating that 2D models suffice to enhance performance, especially in unidirectional flow scenarios. A later study found that the concentration distribution in an optimized 2D flow system differed from that in a unidirectional flow system. We posited that pulsating flow could further enhance the performance of such systems. First, we initiated TO for a diffusion-reaction system in a steady state. The optimized structure obtained from this process served as the foundation for subsequent investigations involving a pulsating flow source in convection-diffusion-reaction systems. We introduced two different systems with distinct flow natures: one characterized by a flow nature of 1D and the other by a flow nature of 2D. The results demonstrated that the optimized structure with a heterogeneous distribution

Long, Mengly, Alizadeh, Mehrzad, Sun, Pengfei, Charoen-amornkitt, Patcharawat, Suzuki, Takahiro, Tsushima, Shohji

Impact of Ordinal Proximity of Frequency Components on the Auditory Perception of Engine Knocking

2024-32-003204/18/2025

This study examines the acoustic properties of engine-knocking sounds in gasoline engines, arising from misfires during spark ignition that negatively affect driving performance. The aim was to understand the frequency characteristics of acceleration sounds and their connection to the proximity of the order components. The study also explores “booming,” where two different frequencies of sounds occur simultaneously, potentially linked to the unpleasant nature of engine knocking. Using a sinusoidal model, we generated engine acceleration sound models with 5th-, 10th-, and 15th-order components, including engine knocking. Two types of sound stimuli were created: one with the original amplitude (OA) and one with a constant amplitude (CA) for each component order, emphasizing the order-component proximity in CA sounds. Aural experiments with 10 participants in an anechoic room using headphones and the MUSHRA method revealed an inverse relationship between OA and CA ratings as the component

Suzuki, Ryuhei, Ishimitsu, Shunsuke, Nitta, Misaki, Sakakibara, Mika, Hakozaki, Tomoyuki, Fujikawa, Satoshi, Iwata, Kiyoaki, Matsumoto, Mitsunori, Kikuchi, Masakazu

IAQG-03282025-1

IAQG-03282025-1 (Current)04/02/2025

IAQG-03282025-1

IAQG-1 Standards Committee

System Configuration and Validation of Hybrid-Based Six Degrees of Freedom Motion Platform for Vehicle Dynamic Testing

2025-01-502103/27/2025

Scenario-based testing has become one of the important elements to evaluate the performance of automated vehicle systems before deploying on actual road. There are several approaches that can be used to conduct scenario-based testing via simulation approach. One of the important aspects in scenario-based safety testing is the driver-in-the-loop (DiL) simulation where it involves integration of hardware and human interaction. Therefore, motion platform-based vehicle driving simulators are commonly used for the DiL simulation for scenario-based testing. Generally, a high degree of freedom driving simulator is used for scenario-based testing such as 6 degrees of freedom (DoF) to achieve high accuracy to represent an actual vehicle response. Moreover, most of the motion platforms are designed using hexapod configuration, which also contributes to 6-DoF. However, this type of design requires large space to conduct the testing because the field of motion (FoM) is high in three axes and high

Kleolee, KahOnn, Aparow, Vimal Rau, Cheok, Jun Hong, de Boer, Niels, Jamaluddin, Hishamuddin

Characterization and Aluminum Recovery from Chemical Milling Sludge in Aerospace Industry

2025-01-501603/21/2025

The chemical milling process used in the aerospace industry generates substantial metallic residue in the etching bath, referred to as chemical milling sludge (CMS). The direct disposal of CMS into the environment leads to ecological deterioration and economic losses. This study focused on the recovery of aluminum from the aerospace industry CMS, aiming to mitigate environmental harm and enhance resource efficiency. The energy-dispersive X-ray (EDX) analysis revealed that the aluminum content in extracted CMS increased significantly to 95.86%, compared to 28.98% in non-extracted sludge. The XRD analysis of the CMS extracted samples also revealed the presence of increased Al2O3. The surface morphology study suggested the irregularly shaped particles with large chunks, and fine granules were observed on CMS. The yield of Al2O3 was observed to be 35.9% (wt) prior to the calcination process followed by 12.1% (wt) after calcination. The phytotoxicity study indicated that the CMS inhibited

Prasad, Jag, Sonwani, Ravi Kumar

SAE TOMORROW TODAY - AI-Powered Solution for Seamless EV Charging

1350703/20/2025

It's no secret that the EV charging experience can be a frustrating one. But what if you could connect the various EV charging networks to apps and services, standardizing them into a single point of integration? One company is doing just that by harnessing data to create a seamless, secure, and reliable EV charging experience. Meet Emobi, the leader in critical digital infrastructure that delivers a single point of integration to a vast network of EV charging stations and e-mobility partners through advanced AI and data refinement models. As the largest roaming ecosystem in North America, the company also enables traditional and streamlined (JustPlug) Plug & Charge technology, facilitating automatic charging identification between EVs and chargers. The company is trusted by EV manufacturers, startups, utilities, and U.S. government agencies alike. To learn more, we sat down with Lin Sun Fa, CEO, Emobi, to discuss how his company's solutions are unifying the fragmented e-mobility

Hineman, Marcie

The Logistic Lasso and Ridge Regression Algorithm-Based Airline Passenger Satisfaction Prediction Model

2025-01-716803/19/2025

Airline passenger satisfaction is important for airline operation service quality management. When airline companies carry out advertisement campaigns or plan a marketing strategy, the resources and budgets are not unlimited. Thus, an airline can only focus on improving a few factors that drive passenger satisfaction. To understand the key satisfies for the young and the old adults, respectively, we leverage five airline passenger satisfaction methods to identify the key factors that explain the airline service satisfaction of different passengers. In particular, we investigate and compare the ridge and the Lasso regularization in terms of the resulting model’s sparsity and computational efficiency. The top three important factors that influence the old’s satisfaction are departure and arrival time convenience, legroom service, and baggage handling. Our findings indicate that the young people place a higher value on entertainment, while the old adults place a higher value on usefulness

Ma, Jie, Hu, Song, Wang, Haipeng

Background Filtering and Target Detection for Traffic Objects with Roadside LiDAR Point Cloud Data

2025-01-719303/19/2025

Roadside perception technology is an essential component of traffic perception technology, primarily relying on various high-performance sensors. Among these, LiDAR stands out as one of the most effective sensors due to its high precision and wide detection range, offering extensive application prospects. This study proposes a voxel density-nearest neighbor background filtering method for roadside LiDAR point cloud data. Firstly, based on the relatively fixed nature of roadside background point clouds, a point cloud filtering method combining voxel density and nearest neighbor is proposed. This method involves voxelizing the point cloud data and using voxel grid density to filter background point clouds, then the results are processed through a neighbor point frame sequence to calculate the average distance of the specified points and compare with a distance threshold to complete accurate background filtering. Secondly, a VGG16-Pointpillars model is proposed, incorporating a CNN

Liu, Zhiyuan, Rui, Yikang

How Will TSN Ethernet Impact the Future of Embedded Computing for Aerospace and Defense Applications?

25AERP03_0603/01/2025

Time Sensitive Networking (TSN) Ethernet is a real-time networking capability that is being developed by a growing number of embedded computing companies for the earliest stages of adoption by aerospace and defense manufacturers and their suppliers. According to the Institute of Electrical and Electronics Engineers (IEEE) TSN working group, it is a set of standards that provides deterministic connectivity within IEEE 802-aligned networks. Nigel Forrester is the Director of Product Strategy for Concurrent Technologies, a UK-based provider of high performance embedded computing solutions for aerospace, defense and many other industries. Check out our interview with Forrester about the potential impact of TSN Ethernet on new and legacy aerospace and defense applications, and how it is being adopted by manufacturers and system integrators below.

Investigating the Effect of Traffic Network Information on the Evolution of Traffic Flow in Intelligent Transportation Systems under Herd Effect

2025-01-721502/21/2025

Intelligent transportation has emerged as a critical paradigm in the transportation sector, underscoring the growing significance of digital information. The extent to which travelers comprehend transportation network information fundamentally influences the dynamics of traffic flow evolution. Traditional random user equilibrium models assume that travelers possess knowledge of segment flow information; however, they fail to account for route flow information. To date, research has yet to investigate how travelers’ decision-making behaviors are altered following the acquisition of route flow information. When endowed with such information, travelers frequently demonstrate behaviors influenced by the bandwagon effect, adjusting their routes to conform to the choices of the majority. This behavioral modification disrupts the existing equilibrium, resulting in a continued evolution of traffic flow until a new stable state is achieved. To examine the implications of transportation network

Zhou, Bojian, Yu, Yaofeng, Li, Shihao, Li, Kangjiao

Analysis of Left-Turn Mixed Traffic Flow Dynamics at Y-Shaped Signalized Intersections Using Cellular Automata

2025-01-720402/21/2025

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

Intelligent Courier Delivery Scheduling Based on XGBoost Feature Selection and Reinforcement Learning: A Case Study Using Chongqing Cainiao Express Data

2025-01-717602/21/2025

This study tackles the issue of order delays in logistics using XGBoost for feature analysis and reinforcement learning for intelligent courier scheduling. Pickup order data from May 1 to October 31, 2023, in Chongqing is analyzed using spatio-temporal statistical methods. Key findings include that order placement peaks at 9:00 a.m., delays peak at 10:00 a.m., and the delay rate is 8.6%. A significant imbalance exists between the regional daily average of dispatchable couriers and order volumes.XGBoost is employed to predict order delays, revealing that pickup location is the most influential factor (27%), followed by courier pickup location (22%). These factors and their relationships are identified as key drivers of delays.To address these issues, a reinforcement learning-based courier scheduling optimization model is developed. The model defines courier location, current time, and pending orders as state variables and adopts an epsilon-greedy strategy for action selection

Wang, Manjun, Yu, Xinlian

EDITORIAL: Farewell and thanks, Mr. Birch

21AUTP06_0401/27/2025

“We pay close attention to the SAE magazines because your guy in Europe writes interesting articles,” a BMW engineering executive told me one year at the Frankfurt Motor Show. He was referring to Stuart Birch, our veteran European Editor, who has recently decided - after nearly 37 years of outstanding reporting for SAE International - to hang up his keyboard and spend more time with his wife, Kim, their family and friends in the British countryside, and his classic Porsche 911. Our staff had been dreading the day that Stuart would announce his retirement, foremost because he's been a great friend as well as a colleague. And because journalists with his qualities - professionalism, perspective, a powerful work ethic and great wit - are increasingly rare in the mobility-technology space. As SAE's global audience knew, Stuart Birch delivered compelling technical and business information. He covered product, processes and people with equal poise. And he thrived on the R&D beat: Virtual

Brooke, Lindsay

Bosch consolidates computing talent in new mobility division

21AUTP03_1101/27/2025

Bosch announced on January 7 during its CES 2021 conference event that it has created a new division labeled Cross-Domain Computing Solutions (CDCC). The CDCC division pools 17,000 of Bosch's automotive software and electronics associates to create a single source for software-intensive systems for future vehicle architectures. According to Bosch, the market for such systems is expected to grow 15% annually between now and 2030, and the organizational move is designed to extend the supplier's market-leading position. Bosch has assigned software, electrical and electronics engineers from the areas of driver assistance, automated driving, car multimedia, powertrain and body electronics to the new unit. “Bosch is an automotive electronics pioneer. Moreover, for quite some time now, it has also been a software company,” said Dr. Stefan Hartung, chairman of Bosch's Mobility Solutions business sector. “Only a company with wide-ranging electronics and software expertise will be in a position

Seredynski, Paul

SAE TOMORROW TODAY: Launching Human Space Travel with a Luxury Balloon

1349801/23/2025

Imagine a six-hour journey to outer space that includes a world-class meal, cocktail service, Wi-Fi, and unprecedented views of Earth. This experience could soon become reality. Space Perspective, the world's first carbon-neutral spaceflight experience company, is commercializing space travel with Spaceship Neptune, a pressurized capsule propelled by a giant SpaceBalloon(TM). The experience is designed to be gentle and accessible with no rockets, weightlessness, heavy g-forces, or training required. Alongside world-class meal and cocktail service, space travelers will also enjoy views through the largest windows ever flown to space, Wi-Fi, and a proper restroom. To learn more, we sat down with Taber MacCallum, Founder and Chief Technology Officer, Space Perspective, to discuss the technical development of the SpaceBalloon(TM) and how the company is unlocking the market for space travel in a new and innovative way. We'd love to hear from you. Share your comments, questions and ideas for

Hineman, Marcie

Tight

GV6677_202501 (Current)01/17/2025

Scoop

Agricultural Tractor Standards Committee (ATSC)

Test document SW2-6715 1

SW2-6715-1 (Current)01/15/2025

testing

A-20 Aircraft Lighting Steering Committee

Test Title

AIRF01012025 (Current)01/07/2025

Test Scope

A-20A Crew Station Lighting

Test Grounds Document

JTEST123 (Current)12/31/2024

test

G-41 Reliability

Arinc Automation Document - Standard Information Report - PageCount 151 - 209

KJH006 (Current)12/19/2024

Arinc Automation Document - Standard Information Report - PageCount 151 - 209

Aviation Maintenance Committee

Arinc Automation Document - Standard Information Report - PageCount 101 - 150

KJH005 (Current)12/19/2024

Arinc Automation Document - Standard Information Report - PageCount 101 - 150

Flight Simulator Engineering and Maintenance Committee

Army Completes Satellite as a Managed Service Research Project

TBMG-5213312/01/2024

Intelsat McLean, VA melissa.longo@intelsat.com

3D-Woven Thermal Protection System

TBMG-5218812/01/2024

Over the past decade, NASA’s Space Technology Mission Directorate and its team of development partners have developed several unique thermal protection system (TPS) technologies designed to protect spacecraft from the extreme heat conditions and entry environments that space missions face. Working closely with the NASA Ames Research Center, Bally Ribbon Mills (BRM), along with several other partners, have developed a new generation of unique strong and robust materials produced using three-dimensional (3D) weaving.

Aviation Safety Expert Unites Industry to Safeguard Aviation Supply Chain

TBMG-5212812/01/2024

In the summer of 2023, a receiving clerk in the procurement department of TAP Air Portugal, a Lisbon-based airline, made a curious discovery: A $65 engine part that should have appeared brandnew showed signs of significant wear. The clerk checked the documentation from the London-based parts supplier and noticed that the submitted documentation was also suspicious.

New Battery Cathode Material Could Revolutionize EV Market and Energy Storage

TBMG-5214212/01/2024

A multi-institutional research team led by Hailong Chen, an Associate Professor with appointments in the George W. Woodruff School of Mechanical Engineering and the School of Materials Science and Engineering, has developed a new, low-cost cathode that could radically improve lithium-ion batteries (LIBs) — potentially transforming the electric vehicle (EV) market and large-scale energy storage systems.

Biohybrid Robotic Hand Research Platform

TBMG-5215912/01/2024

Brain-machine interfaces enable direct communication between a brain’s electrical activity and an external device such as a computer or a robotic limb that allows people to control machines using their thoughts. Researchers have developed a novel biohybrid neuroprosthetic research platform comprised of a dexterous artificial hand electrically interfaced with biological neural networks.

Factors and Requirements for Adhesive Selection in Medical Devices, Part 1

TBMG-5214912/01/2024

The global medical device market is projected to reach a value of $656 billion USD by 2032 with a CAGR of 3 percent over the coming decade.1 The preceding decades of globalization and increased prosperity has provided advancement in both medical technology and access to advanced medical care for a greater proportion of the world’s population. Further, an aging population in North America, Europe, and parts of Asia will increase the need for healthcare-related services and medical devices in the coming decades. At present, the North America market continues to dominate the industry, accounting for approximately 43 percent of the market’s revenue share; however, markets in the Asia-Pacific region have the highest expected growth rates in the coming decades.1 Growth and innovation in the medical device market will be critical in the years to come.

Modeling and Analyzing Inter-Satellite Relative Motion

TBMG-5219712/01/2024

From a mission operations perspective, swarms pose a planning challenge due to the limited scalability of ground operations. The capabilities needed to support swarm missions go beyond operator-specified geometry, alignment, or separation, but also crosslink communication with maintaining position in the formation. To address scalable control of orbital dynamics, NASA Ames Research Center has patented Swarm Orbital Dynamics Advisor (SODA) — a solution that accepts high-level configuration commands and provides the orbital maneuvers needed to achieve the desired type of swarm relative motion.

Contract Manufacturing: Accelerating Product Development

TBMG-5217212/01/2024

Design and material choices can have a long-term impact on an original equipment manufacturer’s (OEM) production costs and product quality. When an OEM works together with an experienced contract design manufacturer (CDM) from the start of a project, many negative impacts to cost and quality can be avoided.

Maximizing the Potential of TPU Extrusion in Medical Tubing Applications

TBMG-5216412/01/2024

Whether for vascular catheters or implantable devices, medical tubing must meet tough standards for flexibility, strength, and biocompatibility. That’s why more manufacturers are turning to thermoplastic polyurethanes (TPUs) that strike the ideal balance between these key properties, making them an excellent choice for high-performance medical tubing. Unlocking the best that TPUs have to offer means optimizing the extrusion process. This article looks at why TPUs are a top pick, the common obstacles in extrusion, and the ways manufacturers can fine-tune their process to get the most out of different grades.

2024 Create the Future Design Contest: Honorable Mentions

TBMG-5215312/01/2024

Scientists Fuse Simulations and Machine Learning to Accelerate Novel Additively Manufactured Materials

TBMG-5212712/01/2024

Researchers at the Johns Hopkins Applied Physics Laboratory (APL) in Laurel, Maryland, have demonstrated a novel approach for applying machine learning to predict microstructures produced by a widely used additive manufacturing technique. Their approach promises to dramatically reduce the time and cost of developing materials with tailored physical properties and will soon be implemented on a NASA-funded effort focused on creation of a digital twin.

Bio-Ink for 3D Printing

TBMG-5218912/01/2024

Biomedical engineers have developed a “bio-ink” for 3D-printed materials that could serve as scaffolds for growing human tissues to repair or replace damaged ones in the body. Bioengineered tissues show promise in regenerative, precision, and personalized medicine; product development; and basic research, especially with the advent of 3D printing of biomaterials that could serve as scaffolds or temporary structures to grow tissues.

SCENE ADJUSTMENT TOOLS FOR AUTONOMY SIMULATION

2024-01-400511/15/2024

ABSTRACT This paper introduces a set of Simulation Scene Adjustment Tools which allow users to adjust relevant geo-environmental parameters to create an unlimited number of new scenes that are based on, and share relevant characteristics with, the original. We also introduce a set of novel quantitative metrics that compare the simulation scenes from the perspective of an automated vehicle system. These tools are useful for automated vehicle development and testing to alleviate the problem of having only a few simulation scenes with which to prove out the system. Citation: J. Auchter, R. Brothers, D. Beer, “Scene Adjustment Tools for Autonomy Simulation,” In Proceedings of the Ground Vehicle Systems Engineering and Technology Symposium (GVSETS), NDIA, Novi, MI, Aug. 15-17, 2023.

Auchter, Joseph, Brothers, Robert, Beer, Daniel

OMNI-DIRECTIONAL AUTONOMOUS GUIDED VEHICLE (AGV) WITH WIRELESS NAVIGATION

2024-01-343611/15/2024

ABSTRACT Automatic guided vehicles (AGV) have made big inroads in the automation of assembly plants and warehouse operations. There are thousands of AGV units in operation at OEM supplier and service facilities worldwide in virtually every major manufacturing and distribution sector. Although today’s AGV systems can be reconfigured and adapted to meet changes in operation and need, their adaptability is often limited because of inadequacies in current systems. This paper describes a wireless navigated (WN) omni-directional (OD) autonomous guided vehicle (AGV) that incorporates three technical innovations that address the shortfalls. The AGV features consist of: 1) A newly developed integrated wireless navigation technology to allow rapid rerouting of navigation pathways; 2) Omnidirectional wheels to move independently in different directions; 3) Modular space frame construction to conveniently resize and reshape the AGV platform. It includes an overview of the AGVs technical features

Cheok, Ka C, Radovnikovich, Micho, Fleck, Paul, Hallenbeck, Kevin, Grzebyk, Steve, Vanneste, Jerry, Ludwig, Wolfgang, Garner, Robert

Bridging the Gap - Applying Performance Driven Aviation Technologies in Cost Driven Ground Platforms

2024-01-334911/15/2024

ABSTRACT The complexity of ground vehicle mission systems has evolved significantly over the last few years resulting in over-taxed platforms with federated mission suites. Department of Defense (DoD) is pursuing platform evolution toward integrated mission suites. Opportunities exist to apply aspects of previously developed methodologies from the aviation sector to ground platforms. This paper describes the parallels of the evolution of aviation platforms with the similarities to ground platforms. Solutions from the military aviation community will be discussed that could reduce development risks, schedules and costs and improve mission capabilities for ground applications. Specific discussion will be on opportunities and techniques to transition performance driven, high cost, low volume technologies into mission suitable and affordable high volume solutions. Discussion of the feedback opportunities into the aviation community will be addressed. This paper is not intended to be a

Hensley, Marion P.

3D-PRINTING IMPACTS ON SYSTEMS ENGINEERING IN DEFENSE INDUSTRY

2024-01-352711/15/2024

ABSTRACT Today’s combat vehicle designs are largely constrained by traditional manufacturing processes, such as machining, welding, casting, and forging. Recent advancements in 3D-Printing technology offer tremendous potential to provide economical, optimized components by eliminating fundamental process limitations. The ability to re-design suitable components for 3D-printing has potential to significantly reduce cost, weight, and lead-time in a variety of Defense & Aerospace applications. 3D-printing will not completely replace traditional processes, but instead represents a new tool in our toolbox - from both a design and a manufacturing standpoint.

Deters, Jason

400Hz High Speed Static Transfer Switch

2008-01-287711/11/2024

The objective of this project was to replace electromechanical power line contactors with a Static Transfer Switch (STS) to improve the transfer of electrical power between aircraft generators and decrease required maintenance. The switch requirements include high reliability, lightweight, and high speed (less than 15mS) power transfer. An STS can shorten the bus transfer time to less than the “ride-through” of aircraft electronic loads and therefore have the ability to control and transfer electrical power while maintaining critical mission requirements. The content of this paper and presentation will discuss the initial problem, the research and development approach, design, and initial testing of the STS.

Cooper, Ronald C., Cooper, Evan C.

Vehicle-Level Control Systems Framework for Use in Create-GV Vehicle Dynamics Simulations

2024-01-410709/16/2024

Abstract This paper presents a software framework developed for the simulation of vehicle-level control systems for modern (existing or conceptual) ground vehicles, targeted for high-performance platforms (Linux clusters). The framework augmented existing ground vehicle simulation environments (such as CREATE-GV MERCURY or other object-oriented software packages) making it possible to perform a comprehensive evaluation of a ground vehicle’s performance when equipped with vehicle level controllers to determine the effectiveness of the control systems on the vehicle. The framework, implemented as part of the PACE (Powertrain Analysis Computational Environment), was comprised of software components (a C++ objects library) simulating various vehicle-level controllers, an Application Programming Interface for the development of new components to be used within the framework, and C++ code for integrating these components into simulations of control systems within a ground vehicle simulation

Jelinek, Bohumir, Henley, Greg, Card, Angela, Hannis, Tyler, Gibson, Michael, Priddy, Jody, Boyle, Sara, Figueroa-Santos, Miriam, Mange, Jeremy

Data Dictionary for Quantities Used in Cyber Physical Systems (Enhanced License)

AS6969_DA (Current)07/29/2024

Enhanced License for Data Dictionary for Quantities Used in Cyber Physical Systems (AS6969) allowing for greater usage as outlined in the terms of the Enhanced License. Terms can be reviewed prior to purchase once item is added to the cart. Data Dictionary for Quantities Used in Cyber Physical Systems (AS6969) This data dictionary provides a mathematically coherent set of definitions for quantity types used in data models for unmanned systems. In this data dictionary, a quantity is defined as a property of a phenomenon, substance, or body whose value has magnitude.

AS-4UCS Unmanned Systems Control Segment Architecture

SAE TOMORROW TODAY BRIEFS: The Supplier's Role in Achieving Sustainability

1346607/10/2024

When people think of sustainability in the automotive world, they typically focus on the automaker. But the reality is that sustainability goals cannot be met without suppliers. GKN Automotive is a Tier 1 supplier of driveline components, all-wheel drive systems, and plug-in hybrid solutions. Listen in as Roberto Baldwin, Sustainability Editor, SAE Sustainable Mobility Solutions, sits down with Tom Salisbury, Director of Sustainability, GKN Automotive, to discuss the company's sustainability goals, working toward a net zero supply chain, and responsible sourcing practices. For more information on the evolution of sustainability, head on over to sustainablecareers.sae.org. There you can learn about the adoption of SAE standard J3400 (also known as NACS or the Tesla port) and what it means for the future of charging EVs.

Hineman, Marcie

What Do Consumers Really Think About EVs?

1345806/05/2024

Consumers are complex -- and so is the EV market. From high expectations to sobering market realities, the EV landscape is hard to gauge without expert insight on consumer behavior. That's why we sat down with Jessica Caldwell, AVP and Head of Insights, Edmunds, to discuss consumer sentiment and the overall trends affecting EV adoption. By leveraging millions of vehicle transactions and web behavioral data, Edmunds helps make sense of the EV landscape for consumers, sellers, and the industry at large. Listen in as Jessica breaks down consumer perceptions and behavior, as well as the effect of interest rates, affordability, and inventory. It's an interesting conversation on what consumers really want -- and what it will take to turn the tide on EV adoption.

Hineman, Marcie

Items per page:

1 – 50 of 14472