Browse Topic: Suppliers

Items (10,355)
The cutting machine is a critical component in the cigarette processing line, and its cutting quality depends on the operational condition of the copper bar chain. The grooves on the surface of the copper bar chain accumulate dust during the operation of the machine, which often causes unstable conveyance of raw materials, significant width variations, and a high defect rate. To address this issue, this study developed a linear reciprocating automatic cleaning system for copper bar chains to remove dust from the groove surface and hinge joints. Experiments have verified that the system improved the cutting qualification rate, increased the operational stability of the cutting machine, reduced manual cleaning workloads, and reached higher cleaning efficiency. This innovative system is also expected to provide a valuable reference for similar equipment manufacturers and advance technological innovation in the cigarette processing industry.
Li, HaitaoZhang, ChunyuanFang, JunqingSu, LinChen, PengGuo, ZhiweiXing, Dongdong
In view of the key problems—low chip burn-in efficiency and high burn-in costs—caused by high R&D costs and a limited number of veneer stations in the traditional burn-in system used in the military aerospace field, this project has carried out a series of innovative research. Through systematic scheme optimization design and strict cost control measures, a new burn-in system with significant cost advantages and supporting multi-station parallel processing has been successfully developed for the aerospace field. The core technical breakthroughs of the system are mainly reflected in three aspects: first, through architectural reconstruction, the number of single incubator stations has been increased by leaps and bounds from the traditional 60 to 720; secondly, the use of intelligent monitoring technology can expand the scale of the workstation while using the display for process monitoring and data collection; Finally, the modular design concept is innovatively introduced, which greatly reduces the construction cost per workstation. Actual tests have verified that the processing efficiency of the AD1120 chip burn-in system has achieved a significant improvement of 1100%, which is equivalent to increasing the processing capacity of a single batch by 11 times. Up to now, the system has completed the 160-hour continuous burn-in test of 5,000 AD1120 chips, during which the system operation is stable and reliable, and there is no abnormality in the use of the test chip manufacturers. This breakthrough performance improvement not only significantly shortens the product development cycle but, more importantly, provides a practical technical solution for batch screening of high-reliability chips. Subsequent promotion and application can meet the mass production needs of a variety of chips in the aerospace industry, and provide a way to reduce costs and increase efficiency for the same type of unit.
Gu, ZuchengKang, XiaoJiang, Shang
North American CAV Performance Data StandardWP-00157/22/2026
As the deployment of connected and automated vehicles (CAVs) expands, the need for a consistent, cross-industry approach to performance relevant CAV data exchange is becoming more pressing. Vehicle developers, infrastructure owners and operators (IOOs), and technology providers generate and consume data that support safety, mobility, and operational efficiency, yet much of the data remains fragmented, inconsistently formatted, and difficult to reuse across systems. To address these gaps, the Society of Automotive Engineers (SAE) and the Canadian Standards Association (CSA) convened a multi-stakeholder workshop on November 3, 2025, with participants representing original equipment manufacturers (OEMs), automated driving system (ADS) developers, state and local agencies, standards bodies, and technology partners. The workshop focused on identifying challenges, clarifying needs, and outlining a path toward a North American CAV Performance Data Standard. Key themes from the workshop included: -The need for a shared data language to support safe and interoperable CAV operations. -The lack of consistent formatting, labeling and visibility regarding who produces and consumes data. -A “start small, iterate and scale” approach beginning with well-defined use cases. -The need for technical harmonization and governance structures that build trust and support sustained coordination. This white paper summarizes the key findings and outlines a practical approach to developing a Version 0.1 base-layer data standard that can support measurable progress in 2026 and beyond.
Nesheli, Mahmood
Product options are an important means for civil aircraft manufacturers to meet market demand, increase revenue, and enhance competitiveness. How to achieve a customized configuration of civil aircraft options is the focus of attention for aircraft manufacturers. In order to reduce manufacturing costs and cover more target markets, it is necessary to pay attention to the customized detail design of aircraft products in the early stages of design. At present, academic research on product selection is relatively limited and lacks quantitative evaluation methods. This article selects four elements to form an evaluation indicator system, namely comfort, competitiveness, cost investment, and maintainability; establishes a civil aircraft option evaluation model based on grey correlation analysis, quantifies the degree of correlation between product options and customer needs, and uses the analytic hierarchy process to reflect the weight differences of evaluation indicators. Taking the option list of a wide-body aircraft as an example, the model was used to evaluate and rank the options, verifying the rationality of the model and providing a reference for aircraft manufacturers to make provisions in advance.
Lu, Meihua
As a special vehicle, motor caravans have high customer demand and expectations for product quality under current market conditions. At the same time, customers generally have strong demands for functional differentiation and modification. To meet the requirements, manufacturers need to redesign and construct the production process platform, including redesigning and transforming various functional unit modules on the vehicle. For example, the flexibility of production process platform systems, standardization of electrical interfaces, and modularization of functional units, etc. In the implementation process, by embedding flexible architecture into the existing universal process system, motor caravans modification can be flexibly organized according to customer orders and requirements while ensuring streamlined production. In the implementation process, the focus of the new installation process system is to match the electrical systems inside the vehicle, ensuring not only the matching between different unit systems, but also the compatibility between the new installation system and the original vehicle system. When formulating the modification process, it is necessary to meet the actual usage requirements and environmental conditions of the motor caravans, while also considering the speed of production organization. The beginning of in car modification often means rebuilding local systems, and whether the compatibility and compatibility of the overall system modules are complete is the ultimate goal pursued by modification production enterprises. In the research process, methods such as comparison, literature review, and examples were used to attempt to illustrate the role of flexible process system architecture in promoting motor caravans modification, especially personalized and differentiated modification, in the context of rapid development of the contemporary automotive industry. Especially in today's rapidly developing advanced control technology of artificial AI, breaking down the whole into smaller parts and standardizing them one by one is of great significance for improving production efficiency and enhancing the automation level of process systems.
Li, Sheng
HV Power nets of electric vehicles consist of various HV components such as batteries, inverters, auxiliaries and cables. During in-vehicle testing, multiple failures of an auxiliary inverter were observed, caused by resonance issues within the component filter. Initial investigations revealed that these resonances, absent during manufacturer testbench evaluations, were influenced by the vehicle power net and its impedance characteristics. To better understand the underlying causes and identify preventative measures, extensive simulations were performed. The results demonstrate a diminishing influence of the power net capacitance when significantly larger than the component capacitance. Also, they highlight the critical impact of cable inductance on the component resonance frequency when comparable to the component’s inductance. A simplified electrical equivalent circuit was used to derive an equation predicting the resonance frequency as a function of the component’s capacitance/inductance and the cable length to the main power net capacitances. Based on these findings, recommendations for component filter design and testing protocols were proposed to mitigate similar failures in future applications.
Schmiel, FabianAurand, TobiasKoehnlechner, BenjaminZimmer, Markus
SAE TOMORROW TODAY - Additive Manufacturing Certified for Aerospace135736/22/2026
When aircrafts are lighter, they use less fuel and are easier to maintain. That's why major airline manufacturers are increasingly using titanium and carbon in their construction. Norsk Titanium is the only high deposition rate additive manufacturing company that is FAA-approved and OEM-qualified for structural titanium parts--and their wire-based manufacturing process reduces material waste by up to 50%. Listen in as we sit down with Philip Riegler, Product Quality Manager, to explore how additive manufacturing is transforming aerospace production, from lightweight titanium structural components to large-format printed parts for commercial and defense aircraft. From serial production programs with Airbus and Boeing to future applications in aerospace, defense, and space, this conversation dives into the realities of certifying 3D-printed flight hardware, scaling additive manufacturing globally, and why titanium supply chain pressures are pushing the industry toward a new era of production. 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 preferred podcasting platform. Follow SAE on LinkedIn, Instagram, Facebook, X, and YouTube. Follow host Grayson Brulte on LinkedIn, X, and Instagram.
Patterson, Lori
Vehicle electrification and accelerated development cycles create a need for virtual Noise, Vibration and Harshness (NVH) development tools which are fast, precise and, seamlessly interchangeable between development sites, suppliers and OEMs. Component-based Transfer Path Analysis (C-TPA), standardized in ISO 20270:2019, enables independent component characterization and integration with virtual models to predict sound and vibration in new assemblies, referred to as Virtual Prototype Assemblies (VPA). However, conventional measurements are labor-intensive, typically restricted to a small number of samples, and overlook production variability. This paper introduces a fully automated, ISO 20270-compliant C-TPA system for non-rigid test benches, featuring a pre-instrumented test fixture with multiple vibration shakers and sensors automatically linked to a data acquisition system for immediate processing. Components can be characterized within minutes, with blocked forces directly integrated into a VPA workflow, replacing time-intensive in-vehicle testing with a repeatable, operator-independent bench procedure. A case study on an automotive steering system demonstrates the method’s accuracy, repeatability, and efficiency, along with its ability to predict realistic interior sound pressure levels and capture production variability, enabling robust virtual NVH evaluation early in the development cycle.
Sturm, MichaelWienen, KevinBrandstetter, MarkusSorber, EricCorbeels, PatrickVerrecas, BartGonçalves, Vinícius
In the two months since Microvision bought Luminar and acquired key tech and talent, the sensor company has been busy. In that time, they've merged key lidar units from each company and created a perception software stack to run it in a convincing demo of its ADAS and autonomous capabilities. The company is also pushing innovative lidar tech into the defense drone and antidrone markets, already working with a German defense supplier that works with NATO member countries.
Clonts, Chris
ZF foresees hybrid powertrain technology becoming more popular for commercial transport in the coming years, and it's working earnestly to be a major player in that realm. The supplier unveiled the TraXon 2 Hybrid transmission to the North American commercial vehicle market at last year's ACT Expo and is now evaluating the technology in real-world conditions. The next-gen automated manual transmission (AMT) is optimized to improve fuel efficiency for plug-in and full hybrid heavy-duty trucks and coaches, as well as special applications such as medium- to heavy-duty mobile cranes.
Gehm, Ryan
Though the U.S. EPA has rolled back many emissions regulations surrounding the mobility industry, its HD rules remain intact, meaning manufacturers must hit the world's most stringent NOx requirement. It was clear at a panel of industry experts that the new rule was still causing confusion among operators and fleet owners. The EPA's new limits are set at 0.035 grams per horsepower-hour during normal operation, 0.050 grams at low load and 10.0 grams at idle. A panel immediately following revealed how companies have hit the tough target, which goes into effect in January of 2027.
Clonts, Chris
Sustainability needs to be practical. That was a point Peter Voorhoeve, president of Volvo Trucks North America, made clear at CONEXPO 2026 in Las Vegas. “We're running a business, so we are focusing a lot on efficiency and uptime,” he said, referencing the up-to-10% improvement in fuel efficiency with the new VNL. “That helps our customers to run their operations at a better pace and a lower cost, but at the same time we have a very positive impact on the climate.” Voorhoeve also teased the launch of a new vocational truck. “We are strong in long haul. We are a leading sleeper manufacturer, very strong in regional haul, and we now have renewed focus on vocational,” he said. “In August we will launch a new truck specifically for the vocational segment that's built on the same platform as the VNL and VNR.” (See page 22 for our feature story on the new VNR.)
Gehm, Ryan
Achieving zero-waste manufacturing in aerospace requires a shift from end-of-pipe waste mitigation toward circular design principles embedded early in product development. This paper presents a practical framework for integrating circularity into aerospace systems through five design pillars: design for modularity and disassembly, material substitution to enhance recyclability, waste segregation and characterization, component-level circularity readiness scoring, and collaborative supplier engagement. To operationalize this approach, a Circularity Readiness Assessment Tool (CRAT) is developed to evaluate design alternatives against criteria such as disassembly ease, material recyclability, manufacturing waste potential, end-of-life recovery pathways, and supplier take-back mechanisms. The framework supports multi-criteria decision-making by complementing traditional aerospace design drivers including weight, performance, cost, and safety. The methodology is demonstrated through a case study of an aircraft seating system. Scenario-based analysis indicates that targeted circular design interventions can reduce material waste and lifecycle carbon emissions while maintaining functional and regulatory requirements. Emphasizing practical engineering workflows rather than exhaustive lifecycle modeling, this work provides a scalable foundation for embedding circular design into aerospace product development and advancing zero-waste manufacturing objectives.
S, Chaitra
As satellites take on more onboard processing - from Earth imaging to autonomy - spacecraft computing designers are pushing for higher performance under tight thermal and radiation constraints. Here's how suppliers are approaching heat removal, radiation mitigation and production-scale space-grade computing for LEO and beyond.
This SAE standard establishes the requirement for suppliers to plan a reliability program that satisfies the following three requirements: a The supplier shall ascertain customer requirements b The supplier shall meet customer requirements c The supplier shall assure that customer requirements have been met
G-41 Reliability
This standard establishes the common requirements for training of DPRV personnel for use at all levels of the aerospace engine supply chain. This standard shall apply when an organization elects to delegate product release verification by contractual flow down to its suppliers (reference 9100 and 9110 standards) and to perform product acceptance on its behalf. It is intended that organizations specify their DPRV requirements through the application of AS9117. While the delegating organization will use the AS13001 standard as the baseline for establishing DPRV process and product training, it may include additional contractual training requirements to meet its specific needs. The DPRV training material was primarily developed for aerospace engine supply chain requirements. However, this standard may also be used in other aerospace industry sectors where a DPRV process requiring specific training can be of benefit.
G-22 Aerospace Engine Supplier Quality (AESQ) Committee
Enterprises that develop complex products or systems often struggle to reuse technology efficiently across their portfolios. This challenge is especially prevalent in aerospace, transportation, energy, and defense industries, where preserving freedom of action is critical. In this context, freedom of action is defined as the ability to avoid vendor lock imposed by integrators or third parties, while enabling competition within clearly defined functional boundaries that establish effective market segments for system components. This paper presents eight best practices for Enterprise Reference Architecture (ERA) development to address this challenge and applies them to aviation functionality spanning both vertical lift and fixed wing platforms. Because complex systems can be modularized in many ways, a consistent set of guiding rules is required to produce an organized set of modules that are reusable across an enterprise portfolio. The best practices presented in this paper are intended to fulfill that role.
DuBois, ThomasZook, Keith
Metal-elastomer bonded components can suffer from manufacturing defects such as porosity and bond-line voids. Nondestructive evaluation (NDE) methods can replace or supplement existing destructive tests; however, implementation can be challenging for manufacturers due to the initial equipment cost, time required per test, and imaging quality. These criteria were used to evaluate shearography, high-resolution ultrasound testing (UT), 2D projection X-ray, computed tomography (CT), and acoustic emission (AE) testing, culminating in trade studies for different sample part types. Experimental work was performed on three samples of varying geometries and sizes with seeded defects, applying feasible NDE methods to each. Shearography succeeded in detecting void defects and flow fronts. X-ray and CT failed to detect flaws in 2 out of 3 part types due to energy and time constraints. UT could not reliably detect defects in parts with complex geometries because of scatter. Acoustic emission reliably detected a seeded knit-line defect.
Mullin, HollyGodinez-Azcuaga, ValeryHobart, AndersonPearson, JohnVadella, RobbieMoose, ClarkSmith, Edward
Researchers recently helped Skydio, the leading U.S. drone manufacturer, demonstrate compliance to the Federal Aviation Administration's rules for safe flights over people and vehicles. Virginia Polytechnic Institute and State University, Blacksburg, VA Operators using a drone from the leading manufacturer in the U.S. can now conduct missions over people and vehicles much easier and with even greater confidence in their safety. In January, the Federal Aviation Administration (FAA) accepted a declaration of compliance for such flights for the parachute-equipped Skydio X10 drone from Skydio, a San Mateo, California-based company that supplies its drones to customers in public safety, utilities, and national security. The acceptance came as the result of working with Virginia Tech's Mid-Atlantic Aviation Partnership (MAAP) and Center for Injury Biomechanics to complete their FAA-approved means of compliance testing.
This document applies to the development of Plans for integrating and managing COTS assemblies in electronic equipment and Systems for the commercial, military, and space markets, as well as other ADHP markets that wish to use this document. For purposes of this document, COTS assemblies are viewed as electronic assemblies such as printed wiring assemblies, disk drives, servers, printers, laptop computers, etc. There are many ways to categorize COTS assemblies1, including the following spectrum: At one end of the spectrum are COTS assemblies whose design, internal parts2, materials, configuration control, traceability, reliability, and qualification methods are at least partially controlled, or influenced, by ADHP customers (either individually or collectively) or by industry standards. An example at this end of the spectrum is a VME circuit card assembly. At the other end of the spectrum are COTS assemblies whose design, internal parts, materials, configuration control, and qualification methods are not controlled, or controllable, in any way by ADHP customers (either individually or collectively) or by industry standards. An example is a disk drive targeted for an industry other than ADHP use. It is critical for the Plan owner to: (1) review and understand the design, internal parts, materials, configuration control, reliability, and qualification methods of all “as-received” COTS assemblies and their capabilities with respect to their application in the intended System and environment; (2) identify risks; and where necessary (3) take additional action to mitigate the risks associated with the performance and reliability of the COTS assembly in the ADHP system.
APMC Avionics Process Management
Safety assurance of Cooperative, Connected, and Automated Mobility (CCAM) systems is a crucial factor for their successful adoption in society, yet it remains a significant challenge. The SUNRISE project has consolidated previous and on-going efforts, and developed a harmonised Safety Assurance Framework (SAF) designed to operationalise the UNECE New Assessment/Test Method (NATM), targeting a wide range of stakeholders including (but not limited to) certifiers, regulators, manufacturers, suppliers, researchers, and assessors. It incorporates a scenario-based approach, underpinned by the system’s Operational Design Domain (ODD) and behaviour for safety assessment. In line with NATM, the SAF consists of multiple pillars: the Audit of manufacturer processes and Safety Management Systems, In-Service Monitoring and Reporting (ISMR) to ensure continued safety during deployment, and Performance Assurance to generate and evaluate safety evidence pre-deployment. While all pillars are integral, this paper concentrates on the Performance Assurance pillar, which integrates three interlinked blocks: Scenario, Environment, and Safety Argument. The Scenario block covers the creation, the formatting, and the storage of logical and concrete scenarios. The Environment block contains an ODD and behaviour based scenario query and retrieval, scenario parameter concretisation, test environment allocation, and test execution. The Safety Argument block contains test evaluation, coverage analysis, safety case formulation, and evaluation decision outcome. Within the SUNRISE project, the SAF has been demonstrated across multiple use cases (various ODDs, systems, and test environment), and several ongoing/ future international collaborative projects are building on top of the SUNRISE SAF and applying it to an even wider set of use cases.
Zhang, XizheKhastgir, Siddarthade Vries, StefanHillbrand, BernhardOp den Camp, OlafBolovinou, AnastasiaBourauel, BryanEhrenhofer Gronvall, John FredrikMenzel, ThaddäusNieto, MarcosStettinger, GeorgJennings, Paul
During the initial design phase, automotive Original Equipment Manufacturers (OEMs) require the adaptability to examine various suspension system architectures while maintaining focus on the specific performance objectives. Those requirements are expressed by Kinematics and Compliance (K&C) look-up tables and represent the footprint of what the suspension should look like in real-world applications. However, translating those requirements into the full geometric hardpoint layout is not straightforward. This process often relies on trial-and-error approaches, making it time consuming and requiring significant expertise. This challenge, known as ”target cascading,” remains a major hurdle for many engineers. The main objective of this paper is to cascade the suspension requirements from K&C look-up tables to hardpoint locations by adopting an automatic workflow and ensuring respect for constructive and feasibility constraints. Design space exploration was conducted using a robust optimization methodology leveraging a Reduced-Order Model (ROM) of a MacPherson suspension. Feasible designs are ensured by incorporating physical constraints such as roll center variation, scrub radius range, tie rod inclination, packaging limitations and relative hardpoint influence. The usage of ROM significantly accelerates the optimization cycle, reducing the computation time from 2 days to 3 hours.
Brigida, PieroDi Carlo, PaoloDi Gioia, NiccolòGeluk, TheoTong, SonAlirand, MarcGorgoretti, DavideOcchineri, MarcoTassini, NicolaBerzi, Lorenzo
Complexity of modern ground vehicles grows constantly, since car manufacturers want to provide functionality, while customers are expecting innovation and recent technologies to be integrated into the latest models released to the market. Recent advances in hard- and software opened the gates for new means of vehicle control and operation. Especially the transition to electric propulsion systems and decoupled chassis actuators offer completely new opportunities of dynamics control and manipulation. This paper presents an approach for integrated chassis and vehicle motion control in (battery) electric vehicle applications by using new and innovative controllers as well as mechatronic chassis systems. In several experiments on public roads with a fully instrumented vehicle demonstrator, that features in-wheel based rear-wheel drive and a hybrid brake-by-wire-system, the proposed control is tested under real environmental and traffic conditions with respect to aspects like energy efficiency and driving comfort. The improvements are evaluated by objective performance indicators. In particular, it was found that the controller recovers more kinetic energy during braking maneuvers and lowers driver stress by up to over 90 % fewer mandatory pedal changes compared to already industrialized approaches.
Heydrich, MariusMitsching, ThomasIvanov, Valentin
The evolution toward software-defined vehicles (SDVs) is causing disruption to the traditional automotive supply chain and breaking down the common hierarchical OEM, tier 1 supplier, and tier 2 supplier relationships. With demands for faster software release cycles, more advanced software projects involving multi-party development, and considerations for end-to-end embedded and cloud integrations, new cybersecurity challenges are introduced that no single organization can address alone. Thus, this disruption creates new trust dependencies and requires new models for collaboration, transparency, and joint responsibility in cybersecurity. This paper presents a collaborative cybersecurity model, emphasizing shared responsibility during multi-party development between OEMs, tier 1 and 2 suppliers, engineering services organizations, and technology and services providers. As such, we explore collaborative approaches for each stage in the development lifecycle including design, development, testing and validation, and post-release activities. This includes joint development frameworks, standardized communication and reporting approaches, and cooperative continuous cybersecurity activities. These collaborative approaches enable the involved parties to maintain trust, mitigate cross-organization risks, and support rapid innovation while assuring cybersecurity. The current traditional siloed approaches or purely internal monitoring practices cannot adequately address new multi-party risks. Thus, as the automotive supply chain is disrupted, cybersecurity must also be considered in a collaborative manner in order to secure vehicles throughout the development lifecycle across a distributed and rapidly changing supply chain. Therefore, our paper focuses on a collaborative model that provides a practical, pre-competitive framework that allows to tackle cybersecurity cooperatively while enabling agile software delivery.
Oka, Dennis KengoVinzenz, Nico
Reliable environmental perception under adverse and contaminated conditions is a critical requirement for autonomous driving systems. Although LiDAR sensors play a central role in such perception, their performance is significantly degraded by surface contamination caused by environmental factors such as rain, snow, dust, anti-icing materials, and bug splatter impacts. However, most existing public datasets and prior studies rely on simulated or laboratory-generated contamination scenarios, which limit their applicability to real-world autonomous driving. To address this gap, we construct a large-scale real-world dataset collected from approximately 22,000 km of on-road driving across diverse regions of the United States, covering a wide range of naturally occurring environmental contamination conditions. The dataset was acquired using a multimodal sensing platform integrating LiDAR, perception RGB cameras, infrared camera sensors, and external monitoring systems, enabling comprehensive observation of sensor behavior under realistic operating environments. Based on this dataset, we propose a scalable contaminant classification framework that focuses on LiDAR surface contamination. A key contribution of this study is the introduction and exploitation of near-field point cloud features, which capture backscattered laser signals caused by surface contamination and exhibit a strong correlation with contamination severity and type. Using raw LiDAR signals, we utilize sixteen feature functions and train supervised learning models to classify seven distinct contaminant categories. Experimental results demonstrate that the proposed approach achieves classification accuracy exceeding 95% under real-world driving conditions, significantly outperforming prior laboratory-based studies. Furthermore, the framework is designed for practical deployment and can be extended to additional contaminant types and geographic regions through incremental data collection and learning. The proposed methodology enables real-time identification of LiDAR contamination sources, providing a critical foundation for adaptive sensor-cleaning strategies. By supporting contamination-aware sensor maintenance, this work contributes to cost- and weight-efficient sensor system design and represents an essential step toward achieving reliable Level 4 autonomous driving.
Kim, Hunjae
This will be my last column for SAE Automotive Engineering after an 11-year run. Don't worry, I'm not going anywhere, just taking a monthly column off my plate to enable more time to spend with my grandson and focus on other passions. While I have been a forecaster for nearly four decades, writing a column for an external publication was always an important outlet for ideas. An opportunity to outline a trend, event, or development that would change the fortunes of our industry, specifically for suppliers. While OEMs get the headlines and the accolades, supporting the unsung supply base has been Job 1 in my book.
Over the past few Supplier Eye columns, we have explored the impact of weakened U.S. emissions legislation and the loss of global scale economies. In isolation, suppliers could devise a gameplan to accommodate either of these shifts. Together, though, a completely revised approach is necessary. The combination demands that suppliers re-evaluate all facets of market strategies. Given this increased U.S. isolation, is there a possibility that the next five years could be the golden age of our industry? A period where the U.S. takes a pause from the speed and technical requirements of the rest of the world's markets to focus on our internal market? Leave global considerations on the doorstep? It is not only a possibility but a likely reality into the next decade.
Conventional tractor transmission systems feature separate Brake and Bull Cage housings, with brakes often being proprietary components and Bull Cage designed by the Original Equipment manufacturer (OE). To optimize design and performance, an innovative integrated system was developed, combining an in-house braking system with a unitized Bull Cage assembly. This robust design reduces part count, eliminates proprietary dependency (except for friction liners), and enhances performance. Virtual simulations performed under RWUP conditions demonstrated enhanced strength and stiffness in the integrated design. In this Integrated Brake & Bull Cage assembly (IBCA), the braking layout was reconfigured from a 4+1 friction design to a 3+2 configuration which improved balancing, enhancing customer braking experience and increasing contact area by 11%. This adjustment extends friction liner life and boosts mechanical advantage by 7.9%, significantly improving tractor stability and performance. Additionally, the new design simplifies serviceability, requiring only brake cover removal instead of remove Tyre, Fender, RAC assembly & Brake housing thus reducing service costs and assembly time. The integrated Brake and Bull Cage assembly achieves a 15 kg weight reduction and saves approximately 180 tons of material annually. This innovation contributes to a 51-ton reduction in CO₂ emissions, supporting ESG sustainability commitments. The Integrated design is tested in lab and Field condition and implemented successfully.
Dumpa, Mahendra ReddyDhanale, SwapnilPerumal, SolairajGomes, MaxsonRedkar, DineshSavant, KedarnathV, Saravanan
When developing specialist and performance EVs, the challenge goes far beyond selecting an off-the-shelf powertrain. Each manufacturer brings unique performance targets, packaging constraints, and integration requirements. And add on the fact that no two platforms look the same. Powered by Everrati, our B2B division, engages directly with leading customers globally, capturing what they truly need from electric powertrains. Two areas emerge consistently as the most complex and variable: the electric drive unit (EDU) and the battery system.
Recent geopolitical events in Venezuela, Ukraine and other hot spots are a stark reminder that the long-term planning environment is fraught with challenges and opportunities that suppliers cannot control. The initiation of U.S. tariffs on its trading partners and various embargos also underscored that we have to be flexible in how we dole out capital and the risk we are assuming. The supply base is at the end of that chain. Any issues upstream will reverberate exponentially. It is obvious that the automotive world is re-regionalizing, and quickly. Why the concern? Some context. Until the '70s, every region essentially rowed its own boat. While there were some exports from one major region to another, there were regional OEMs that were sponsored by national governments due to job creation, tax base considerations and bragging rights. The U.S, France, Italy, Germany, Japan, South Korea and a host of others wanted to build national OEMs that could drive scale and become a global force.
How engineers can ensure safety, reliability and quality in aerospace systems. Courbevoie, Île-de-France In an industry where failure is not an option and precision is paramount, aerospace manufacturers and suppliers are constantly seeking components and system solutions that deliver trusted reliability, performance, and compliance. Industry standards are a key part of achieving these high expectations, bringing together global leaders in the mobility industries to create defined, repeatable methods and consistent processes. One of these aerospace standards is AS1895 developed by SAE International - a critical standard due to the need for durable components that can withstand extreme conditions and offer high performance: high-temperature resistance, pressure sealing, and long service life with a cost-effective installation method. Leading aerospace companies such as Eaton and Honeywell have been manufacturing components that meet this standard for a long period of time.
The US trucking industry heavily relies on the diesel powertrain, and the transition towards zero-emission vehicles, such as battery electric vehicles (BEV) and fuel cell electric vehicles (FCEV), is happening at a slow pace. This makes it difficult for truck manufacturers to meet the Phase 3 Greenhouse Gas standards, which mandate substantial emissions reductions across commercial vehicle classes beginning of 2027. This challenging situation compels manufacturers to further optimize the powertrain to meet stringent emissions requirements, which might not account for customer application specifics may not translate to a better total cost of ownership (TCO) for the customer. This study uses a simulation-based approach to connect customer applications and regulatory categories across various sectors. The goal is to develop a methodology that helps identify the overlap between optimizing for customer applications vs optimizing to meet regulations. To use a data-driven approach, a real-world customer usage pattern analysis was conducted to identify key performance metrics required to optimize driveline components. Additionally, the impact of certification requirements on vehicle performance is examined to ensure compliance while maximizing the benefits of the proposed optimization strategies. The findings of this research will provide valuable insights for manufacturers, enabling the development of trucks that are not only efficient and high-performing but also compliant with environmental standards, ultimately leading to a more sustainable future in the trucking industry.
Mohan, VigneshDarzi, Mahdi
In recent years many automotive cybersecurity relevant regulations have been released and some have already started to come into effect. Moreover, some other regulations will come into effect in the next few years. These regulations provide requirements and guidance to automotive organizations with different degree of specifics. In this paper, we review a number of different cybersecurity relevant regulations such as UNR 155, UNR 156, AIS 189, AIS 190, GB 44495, GB 44496, EU Cyber Resilience Act, and BIS Final Rule. We break down and categorize these regulations based on their scope and highlight key areas relevant to different teams within the organizations. These key areas include Cybersecurity Management System (CSMS), Software Update Management System (SUMS), secure software development and software supply chain security, continuous cybersecurity activities (monitoring, incident response), and vulnerability disclosure and management. We then map responsibilities from the regulations to respective relevant teams such as cybersecurity team, software development team, IT team, legal/compliance and procurement. The purpose is to help clarify roles and responsibilities within the organization to ensure relevant teams are involved to meet the specific requirements. We further analyze the regulations to identify similarities as well as potential challenges for organizations when preparing their organizations in addressing multiple regulations. Examples we discuss in detail include incident reporting, security testing and Software Bill of Material (SBOM) management. As more regulations are coming into effect in the next coming years, organizations need to ensure that they are readily prepared to fulfill the necessary requirements to comply with relevant regulations.
Oka, Dennis KengoVadamalu, Raja Sangili
With the emergence of Software-Defined Vehicles (SDVs), more complex software and connectivity technologies are introduced to support new advanced use cases such as phone as a key, smart parking and vehicle management. However, complex software functionality and external connectivity also increase the attack surface of vehicles and its ecosystem. In this paper, we first perform a classification of recent automotive cybersecurity attacks. We further perform an analysis of these attacks and associated vulnerabilities considering the application of best practices of vulnerability management approaches including Common Vulnerability Scoring System (CVSS), Exploit Prediction Scoring System (EPSS), and Stakeholder-Specific Vulnerability Categorization (SSVC). CVSS is a standardized framework used to assign severity scores to known vulnerabilities and helps organizations prioritize vulnerability remediation based on severity. EPSS is a predictive model that estimates the probability of a vulnerability being exploited in the next 30 days and complements CVSS by focusing on real-world likelihood of exploitation rather than just severity. SSVC is a decision-making framework for vulnerability handling to help organizations make appropriate remediation decisions considering the specific situation based on, e.g., exploitation activity, mission prevalence and public well-being. We discuss the challenges and benefits of using these different vulnerability management approaches to help automotive organizations manage risks and prioritize handling of vulnerabilities. As auto manufacturers are responsible for the cybersecurity during the lifecycle of their fleet of vehicles, we stress the importance of analyzing and assessing vulnerabilities in a systemic way in order to timely address newly detected vulnerabilities with appropriate responses.
Oka, Dennis KengoVadamalu, Raja Sangili
The exponential growth of connected and autonomous vehicles has significantly escalated cybersecurity threats, compelling automotive Original Equipment Manufacturers (OEMs) to adopt robust and structured Cybersecurity Incident Response (CSIR) capabilities. Current automotive cybersecurity regulations, such as AIS 189 in India and UNECE WP.29 globally, mandate precise frameworks for proactive threat detection, timely response, and comprehensive incident documentation. This research presents an innovative, comprehensive CSIR framework specifically tailored to integrate seamlessly into OEM cybersecurity management processes. Leveraging a combination of real-time monitoring systems, structured threat categorization methodologies, and integrated escalation and communication protocols, the proposed CSIR framework ensures efficient incident handling aligned with stringent regulatory compliance. The framework encompasses advanced methodologies including Vehicle Security Operations Center (VSOC) integration for continuous monitoring, standardized incident classification based on severity and potential impact, and well-defined communication channels with national Computer Emergency Response Teams (CERTs) and regulatory authorities. By integrating this framework, OEMs can significantly elevate their cybersecurity resilience, strengthen stakeholder confidence, and effectively meet evolving global cybersecurity regulatory demands.
Chaudhary lng, VikashDesai, ManojChatterjee, AvikChatterjee lng, Avik
Sustainability and environmentally friendly business practices are becoming essential. Tyre industries are embracing the green initiatives to reduce its impact on the environment by exploring the eco-friendly strategies. Starting from the ethical raw material sourcing to a creative recycling technique, strategies are widely distributing in every step of tyre manufacturing to disposition. Each stage of a tyre’s life cycle viz. raw material procurement, manufacturing, transportation both upstream and downstream as well as during the end-of-life phases have an emission-saving potential. It is important to reduce emissions at every stage of tyre’s lifecycle. We have recently developed a Sustainable Tyre with 11% less GHG emission through sustainable raw material approach. Bio sourced or bio attributed raw materials like Styrene Butadiene Rubber (SBR), Polybutadiene Rubber (PBR), Rubber process oil (RPO) and Silica along with natural rubber (NR) had been used. Beside the raw materials from bio source, raw materials obtained from end-of-life tire and waste plastic bottles are also used, to manufacture the sustainable tyre. Being a safety item, developed tyres had gone through different testing process to evaluate the performance. Indoor evaluation viz. RRC, endurance, noise & vibration as well as field evaluation exhibits that the tyre made from sustainable materials are ready to roll on the road. In this paper, the journey starting from selection of raw materials to the placing the tyre in the market with indoor and outdoor validation have been summarised.
Bhandary, TirthankarSingha Roy, SumitPaliwal, MukeshDasgupta, SaikatChattopadhyay, DipankarDas, MahuyaMukhopadhyay, Rabindra
This paper delivers a forward-looking data-driven assessment of the transformative innovation in electric vehicle motor systems with targeting breakthroughs in the power density, energy efficiency, thermal robustness, manufacturability & better intelligent control. A rigorous Multi Criteria Decision Making (MCDM) framework is done to systematically evaluate and defining the rank of emerging motor technologies across eight weighted performance indicators. The findings reveal that which design strategies & material advancements offering the greatest potential for redefine propulsion performance that enabling lighter more compact & more efficient drivetrain capable of sustained high power operation. High ranking solution exhibit strong alignment with the industry's push toward scalable, low cost & rare earth-independent systems while other are identified as high risk/high reward pathway requiring targeted research to overcome critical problems. By integrating engineering performance metric with manufacturability and system integration insights this study not only ranks innovations readiness but also providing a strategic roadmap for accelerating the development and deployment of next-generation EV motor. The outcome serving as a high value guide for OEMs, supplier & R&D leader seeking to prioritize the investment, streamline development & lead the transition to ultra-efficient, intelligent electric mobility platform.
Jain, GauravPremlal, PPathak, RahulGore, Pandurang
With increased deterioration of road conditions worldwide, automotive OEMs face significant challenges in ensuring the durability of structural components. The tyre being the primary point of contact with the road is expected to endure harshest of impacts while maintaining the other performance functions such as Ride & Handling, Rolling resistance, Braking. Thus, it is considered as the most challenging component in terms of design optimization for durability. The current development method relies on physical testing of initial samples, followed by iterative construction changes to meet durability requirements, often giving trade-off in Ride & Handling performance. To overcome these challenges, a frugal simulation-based methodology has been developed for predicting tyre curb impact durability before vehicle-level testing so that corrective action can be taken during the design stage.
Sundaramoorthy, RagasruobanLenka, Visweswara
In recent years, the global automotive sector has undergone transformation at an unprecedented pace, driven by environmental concerns, rapid technological advancements, government incentives, and evolving consumer expectations. The rapid uptake of electric motors as the main propulsion system in New Energy Vehicles (NEVs) has been a key factor in this change. This study examines the technological development of electric motors in four different vehicle segments: passenger cars, heavy-duty commercial vehicles, three-wheelers, and two-wheelers. It identifies the leading electric motor technologies utilized in each of these segments, along with their prevalence across key globally regulated markets. The study offers a thorough analysis of current e-motor technologies and their market distribution by referencing historical data and existing scholarly literature. A regional analysis is conducted to examine variations in manufacturer preferences and deployment strategies, supported by visual representations of application-specific performance requirements, manufacturing economics, regulatory constraints, and market maturity. The study also investigates evolving trends in motor technology adoption, considering the distinct characteristics of each vehicle segment and associated regional dynamics. The core analysis focuses on Direct Current Motors (DCMs), Induction Motors (IMs), and various families of Permanent Magnet Motors (PMMs), evaluating their architectural designs, operational parameters, and integration within specific electric vehicle powertrain configurations. Furthermore, the paper identifies emerging markets and regions poised to lead in the adoption of e-motor technologies, especially as global supply chains become more integrated and resilient. The insights presented offer value to researchers and policymakers seeking to better understand the factors influencing electric motor adoption, while also serving as a contemporary reference for industry stakeholders navigating the ongoing transition toward electric mobility.
Singh, AshishRay, Rakesh Kumar
Aluminum foils have gained traction with EV battery manufacturers for their pouch cell format. Over the years, it has evolved as a material of choice, but it is still plagued by the issues of stress concentration and swelling due to lower strength and lower stiffness of base aluminum layer. Preliminary investigation revealed that laminates using steel foil material (thickness < 0.1mm) could be a potential candidate for EV pouch cell casing. Thus, steel-based laminate was developed meeting key functional requirements (e.g., barrier performance, insulation resistance, peel strength, electrolyte resistance, formable without cracking at edges, and heat sealing compliant). This innovative patented steel-based laminate [1] was further used to manufacture pouch cell prototypes (up to a maximum capacity of 2.8Ah) for key performance evaluation (e.g., cell cycling and nail penetration). The study paves the way for a low cost, sustainable and flexible yet strong steel-based laminate packaging material solution for lithium-ion pouch cells.
Singh, Pundan KumarRaj, AbhishekKumar, AnkitChatterjee, SourabhVerma, Rahul KumarSamantaray, BikashGautam, VikasPandey, Ashwani
Automotive systems are increasingly adopting data-driven and intelligent functionality in the areas of predictive maintenance, virtual sensors and diagnostics. This has led to a need for the AI models to be directly run on vehicle ECUs. However, most of these ECUs – especially those in cost-sensitive or legacy platforms lack the computational capacity and parallel processing support required for standard AI implementations. Given the stringent real-time and reliability requirements in automotive environments, deploying such models presents a unique challenge. This paper proposes a practical methodology to optimize both the training and deployment phases of AI models for low-computation ECUs that operate without parallelism. Designing lightweight model architectures, using pruning and quantization techniques to minimize resource utilization, and putting in place a strategy appropriate for single-threaded execution are the three main objectives of the developed approach. The goal is to guarantee that the final models satisfy real-time requirements without sacrificing prediction accuracy. To evaluate the effectiveness of the proposed method, a set of use cases relevant to automotive virtual sensors and condition monitoring were selected. Importantly, latency remains within the acceptable limits for in-vehicle ECUs. Analysis was performed for memory and CPU usage to ensure that the reliability of the operation is never compromised. This work provides a path for deploying AI in embedded automotive environments without the need for hardware upgrades. It supports OEMs and suppliers aiming to bring intelligent features to market efficiently while staying within the constraints of existing ECU platforms.
Sharma, SahilMathew, Melvin John
Process mining emerges as a very important tool in the automotive industry to improve processes and increase efficiency. Its use allows the identification of bottlenecks and opportunities for improvement in production processes, contributing to increased productivity and cost reduction. This article aimed to evaluate the benefits of applying the Process Mining tool by conducting a Three-way match analysis in the Procure-to-pay (PTP) process of a company in the auto parts sector, seeking to identify opportunities for improvement. Analysis using process mining in PTP of the organization allowed us to identify significant number of cases of price discrepancies were observed in relation to orders related to services, being 2.5 times higher than orders related to materials. Additionally, quantity discrepancies represented 24% of the cases analyzed, compared to only 1.5% of price discrepancies. Of the materials involved in these price discrepancies, approximately 63% were not registered in the system. Most cases of price discrepancies among material suppliers were related to transportation services. Furthermore, 22% of the processes analyzed involved price changes, possibly due to how tax calculation was configured in the SAP system. It is recommended that the company continue to seek solutions to reduce price discrepancies, especially concerning service orders, and increase the level of automation in purchasing and payment processes. In light of the presented results, the process mining tool emerges as a strategic ally, offering competitive advantage by identifying bottlenecks, reducing costs, and automating processes.
Rosa da Silva, Petterson MaxwellCampos, Renato deFranco, Bruno Chaves
Brazil PL8 regulation has required that manufacturers comply with new emissions levels for all of vehicle life – 0 km up to 160.000 km. On this study, tests found that results between new and used vehicles are remarkably similar except for Aldehydes on Ethanol tests. To better understand this phenomena, two main ideas were considered: first, the engine mileage needed to stabilize aldehydes emissions; and second, the main factors responsible for higher acetaldehyde values on new engines only.
Fernandes, SarahBorsari, MarcioBrondani, Dhouglas
This study presents three methods for obtaining the latency of an indirect injection Electro-Injector as a function of the applied voltage. This parameter is relevant for the linearization of the injected mass in order to model fuel mass delivery on modern ECUs. For this purpose, the authors built a test bench, with the intent of running analysis on the results of tests of mass differential between injections, circulating current, and mechanical vibration. The authors gathered data over the iterative experiments and correlated the mass differential, vibration data and current measurements. The authors observed that with a reduction of supply voltage at the injector’s pins, a greater injector dead time made itself present displaying a need for a compensation of opening time in function of voltage since the injector’s needle takes a longer amount of time in partially open positions. Modern ECU manufacturers broadly use the data obtained by this type of iterative experiment to accurately model fuel mass-flow over different boundary conditions not limited only to supply voltage but also differential pressure and fuel temperatures.
Juliatti, Rafael MotterOliveira, Julia Mathias deMorais Hanriot, Sérgio deSilveira, Hairton Júnior Jose daMoreira, Vinicius Guerra
Tire is the only part of the aircraft that contacts the ground, which not only bears the vertical load and lateral load of the whole aircraft, but also provides adequate ground friction to decelerate the aircraft when braking, so the tires are important parts for aircraft take-off and landing. Besides safety concerns, tire physical properties such as vertical, lateral stiffness as static performance and rolling relaxation length, yawed rolling cornering force as dynamic performance are often required by aircraft manufacturers for analyzing aircraft maneuverability. Besides analysis or similarity by experience from other aircraft projects, tires are often qualified by a number of tests, both static and dynamic, to ensure the safety of tires and acquire tire physical performance data.
Ji, Teng
As advanced technologies reshape the medical device landscape, the demands placed on contract manufacturers are evolving. Today’s partners are expected to do more than deliver components — they must anticipate disruptions, adapt quickly, and bring a level of technical and strategic depth that supports faster development without compromising quality.
Items per page:
1 – 50 of 10355