Browse Topic: Management and Organizations

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Testing a loooooooooooooooooooooooong alternateExternalId - 7ARP07182025-7-0000000000000000001 (Current)07/18/2025
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A-5B Gears, Struts and Couplings CommitteeNEW
SAE TOMORROW TODAY - Smarter Automotive Testing with AI and Simulation1352207/03/2025
The new test track isn't asphalt--it's AI and simulation. From hardware-in-the-Loop (HIL) to real-time performance analytics, new innovations are reshaping how vehicles are designed, validated, and brought to market. At the forefront of this transformation is A&D Technology, a leader in integrated test automation and lab management solutions for the transportation and energy markets. By integrating AI-driven analytics with high-fidelity simulation environments, the company is empowering automotive engineers to streamline testing workflows, reduce physical prototypes, and accelerate innovation in everything from EV powertrains to autonomous systems. To learn more, we sat down with Mike Uhl, President & CEO, to discuss how A&D Technology's work in simulation and test automation is helping engineers bring the next generation of mobility technologies to life. 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
Hineman, Marcie
SAE TOMORROW TODAY - Digital Engineering for Defense and Beyond1352007/01/2025
If you were to build the perfect use case for the potential of digital engineering, you would be hard-pressed to choose a better sector than the defense industry. That's why the Pentagon isn't just intrigued by digital engineering-it's made it mandatory. As the U.S. military targets groundbreaking technology improvements that safeguard lives and improve defense capabilities, Ansys is helping connect the dots between people, processes, and technology with the predictive power of simulation. Establishing a digital engineering ecosystem, including digital twins, contributes to the resilience and adaptability of innovations across industries. To learn more, we sat down with Dr. Armond E. Sinclair, Sr. Technical Account Executive for Ansys Government Initiatives, to discuss how digital engineering is enabling smarter decision-making, reducing costs, and accelerating innovation at the Department of Defense (DoD) and beyond. We'd love to hear from you. Share your comments, questions and ideas
Hineman, Marcie
SAE TOMORROW TODAY - Women Breaking Barriers in Aerospace & Beyond1352107/01/2025
Despite decades of progress, the number of women in engineering remains stubbornly low -- especially in aerospace and mechanical engineering. But that isn't stopping the winner of the Aerospace/Defense category in the inaugural Women in Engineering: Rising Star Awards. Heather Cummings is Senior Engineer, Flight Controls & Autonomy for Sikorsky, a Lockheed Martin company. She leads the development of hybrid electric propulsion controls and vehicle management systems for Sikorsky's next-gen HEX and RBW, including groundbreaking work on fully autonomous cargo aircraft. A licensed pilot, Heather is passionate about improving flight safety through automation and mentoring the next generation of aspiring engineers. In this special episode, Heather and Chitra Sethi, Director of Editorial & Digital Content, SAE Media Group, discuss the mission behind the Rising Star Awards, the importance of visibility for women in STEM, and why inspiring the next generation is just as critical as
Hineman, Marcie
SAE TOMORROW TODAY - Riding the EV Wave With Smarter Batteries1351705/29/2025
As OEMs race to deliver new vehicle lineups with greater speed and efficiency, the industry finds itself navigating a complex crossroads between full EVs and hybrid models. That's where ENNOVI steps in. With a focus on smarter battery management and cutting-edge electrical architecture, ENNOVI is staying agile--offering the right product mix to help OEMs and suppliers ride the wave of electrification, battery technology improvements, and market shifts without missing a beat. Listen in as we sit down with Ron Puhl, Global Director of Engineering and Product Portfolio, to discuss how ENNOVI's Current Collector System (CCS) is helping to improve the overall package size of batteries while reducing costs. It's a unique discussion with deep insight into consumer EV demand and industry trends. 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
Hineman, Marcie
SAE TOMORROW TODAY - Engineering with Purpose: The SAE Story You Need to Hear1351605/22/2025
Innovation isn't a solo act--it's a team sport. And if you're an engineer, the world needs your expertise now more than ever. SAE International is a place where engineers, dreamers, and doers unite to build a safer, smarter future. Our lively community is made up of cross-disciplinary volunteers who develop life-saving standards, mentor the next generation, and work collaboratively to build a strong and ethical foundation for powerful emerging technologies. Listen in as Dr. Jacqueline El-Sayed, CEO of SAE International, shares how SAE is setting the standard (literally) for tomorrow's mobility solutions while fostering professional growth and collaboration along the way. Ready to make an impact and level up your career? Whether you're passionate about safety standards, emerging tech, or mentoring the next generation, volunteering with SAE connects you with a global network of innovators just like you. You'll gain leadership experience, grow your expertise, and help drive real change in
Hineman, Marcie
SAE TOMORROW TODAY - Scalable AV Deployment Starts with Fewer Close Calls1351305/01/2025
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 ReconstructionR-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.
Statistical Analysis of Data Acquired from Propagating Flames in Gasoline Engines Using a Multiple Ion Probe2024-32-003504/18/2025
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 Proficiency2024-32-002804/18/2025
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
Virtual Calibration Approach to the Development of Control Systems and Strategies for Hybrid L-Category Vehicles2024-32-006604/18/2025
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
Fatigue Analysis of Motorcycle Rear Swing Arm on Different Road Surfaces2024-32-004604/18/2025
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 Engine2024-32-005904/18/2025
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
Impacts of Pulsating Flow on Topologically Optimized Porous Reactors in Convection-Diffusion-Reaction Systems2024-32-007004/18/2025
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 Knocking2024-32-003204/18/2025
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
Necessity of Body Torsional Rigidity of Personal Mobility Vehicles (PMVs) with an Inward Tilting Mechanism2024-32-001304/18/2025
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
SAE TOMORROW TODAY BRIEFS - NEVI and America's EV Charging Future1350904/03/2025
The National Electric Vehicle Infrastructure Program (NEVI) is a $5 billion initiative aimed at developing EV charging infrastructure across all 50 states and Puerto Rico. However, recent executive orders have put the program and its funding on hold. To dig into what this all means, Roberto Baldwin, Sustainability Editor, SAE Sustainable Mobility Solutions, recently sat down with Andrew Wishnia, Senior Vice President at Boundary Stone Partners, to discuss what NEVI is all about and what the future holds for this EV charging infrastructure initiative. For more information on the evolution of sustainability, head on over to sustainablecareers.sae.org. There, you can check out our drive of the new 2025 Ioniq 5, the first non-Telsa EV to hit the road with SAE J3400 (a.k.a., NACS). 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
Hineman, Marcie
IAQG-03282025-1 IAQG-03282025-1 (Current)04/02/2025
IAQG-03282025-1
IAQG-1 Standards Committee
SAE TOMORROW TODAY: Simulating Off-Road Autonomy in Combat1350803/27/2025
As warfare becomes more technologically advanced, the military requires a "one-to-many" system that allows one operator to control a fleet of air, ground, and surface-level assets. This type of technology can also support industries like construction that may be experiencing labor shortages. To bring these visions to reality, there is a critical need for a virtual environment to stress-test autonomous systems and ensure they are secure. Enter Neya Systems, a wholly owned subsidiary of Applied Research Associates that is committed to advancing the field of unmanned systems through a robust simulation platform and expertise in autonomy, computer vision, and cybersecurity. To learn more, we sat down with Kurt Bruck, Vice President, Neya Systems, to discuss supporting the military as warfare becomes more technologically advanced and how his company is fostering safe and secure autonomous operations for unmanned ground vehicles. We'd love to hear from you. Share your comments, questions and
Hineman, Marcie
System Configuration and Validation of Hybrid-Based Six Degrees of Freedom Motion Platform for Vehicle Dynamic Testing2025-01-502103/27/2025
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 Industry2025-01-501603/21/2025
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 Charging1350703/20/2025
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
Background Filtering and Target Detection for Traffic Objects with Roadside LiDAR Point Cloud Data2025-01-719303/19/2025
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
The Logistic Lasso and Ridge Regression Algorithm-Based Airline Passenger Satisfaction Prediction Model2025-01-716803/19/2025
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
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.
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
Intelligent Courier Delivery Scheduling Based on XGBoost Feature Selection and Reinforcement Learning: A Case Study Using Chongqing Cainiao Express Data2025-01-717602/21/2025
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
Investigating the Effect of Traffic Network Information on the Evolution of Traffic Flow in Intelligent Transportation Systems under Herd Effect2025-01-721502/21/2025
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
SAE TOMORROW TODAY: Optimizing Energy Data for the Cold Supply Chain1350102/09/2025
The growing complexity of fleet electrification has highlighted the importance of understanding how energy is used and where you can reduce waste. To optimize energy intensity at industrial facilities, one company is leveraging integrated data and AI-powered intelligence to reduce both cost and fleet-related emissions, particularly when it comes to cold storage supply chains. Ndustrial helps companies lower energy intensity, decrease costs, and increase sustainable industrial operations with solutions like the Nsight Energy Intensity Platform, a data analytics and monitoring solution central to the management of electric transport refrigeration unit (eTRU) power systems. To learn more, we sat down with Manuel Aguirre VP of Supply Chain Electrification, to discuss Ndustrial's energy optimization solutions and the importance of efficient refrigeration management throughout the cold storage supply chain. We'd love to hear from you. Share your comments, questions and ideas for future
Hineman, Marcie
Bosch consolidates computing talent in new mobility division21AUTP03_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
EDITORIAL: Farewell and thanks, Mr. Birch21AUTP06_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
SAE TOMORROW TODAY: Launching Human Space Travel with a Luxury Balloon1349801/23/2025
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
TightGV6677_202501 (Current)01/17/2025
Scoop
Agricultural Tractor Standards Committee (ATSC)
SAE TOMORROW TODAY - Matching Buyers & Sellers to Advance SDV Development1349701/16/2025
From evolving consumer expectations to changing business models to updates to the car itself, there is no doubt that software is radically transforming the automotive industry--and companies must adapt now or risk being left behind. The rise of smartphones has permanently altered consumer expectations, and software-defined vehicles (SDVs) are expected to provide experiences akin to those found on mobile devices. Preferences for infotainment and safety features through advanced driver-assistance systems (ADAS) are also increasingly central to purchase decisions. In an effort to meet these demands and accelerate the development of SDVs, SDVerse was developed as a B2B sales marketplace for buyers and sellers of automotive software. The matchmaking platform is available to all OEMs, suppliers, and other companies with relevant software offerings and tools. To learn more, we sat down with Prashant Gulati, Chief Executive Officer, to discuss the role of SDVerse in the automotive industry's
Hineman, Marcie
Test document SW2-6715 1SW2-6715-1 (Current)01/15/2025
testing
A-20 Aircraft Lighting Steering Committee
Test TitleAIRF01012025 (Current)01/07/2025
Test Scope
A-20A Crew Station Lighting
Test Grounds DocumentJTEST123 (Current)12/31/2024
test
G-41 Reliability
Arinc Automation Document - Standard Information Report - PageCount 101 - 150KJH005 (Current)12/19/2024
Arinc Automation Document - Standard Information Report - PageCount 101 - 150
Flight Simulator Engineering and Maintenance Committee
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
SAE TOMORROW TODAY: The Future of Hydrogen Fuel: A Distribution Revolution1349112/10/2024
Jules Verne was ahead of his time--and so is a company inspired by his name that recognizes hydrogen's immense potential as a clean energy solution. Verne develops and commercializes a novel technology to store and distribute hydrogen in its densest form, cryo-compressed. This approach maximizes hydrogen density, addressing the limitations of compressed gas and reducing the cost of dense storage -- which is a game-changer for boosting hydrogen adoption. To learn more, we sat down with Ted McKlveen, Co-founder & CEO, Verne, to discuss the company's breakthrough solution to addressing hydrogen storage and transportation and how it can unlock the widespread adoption of hydrogen energy, particularly in sectors like Class 8 trucking. 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
Hineman, Marcie
Army Completes Satellite as a Managed Service Research ProjectTBMG-5213312/01/2024
Intelsat McLean, VA melissa.longo@intelsat.com
3D-Woven Thermal Protection SystemTBMG-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 ChainTBMG-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 StorageTBMG-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 PlatformTBMG-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 1TBMG-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 MotionTBMG-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 DevelopmentTBMG-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 ApplicationsTBMG-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 MentionsTBMG-5215312/01/2024
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