Browse Topic: Manufacturing systems

Items (2,301)
Like many from Poland, Tomasz Łuczyński moved to the UK for better wages. Following Poland's joining of the UE in 2004, hundreds of thousands of people from Poland have settled in the United Kingdom. Currently, over 1% of the UK population is Polish. But Tomasz Łuczyński didn't stick around. After working in a facility that remanufactured automotive parts, he returned to Poland to start his own large-vehicle parts refurbishing company, Elerte. Poland has a history of rebuilding. Much of Warsaw needed to be rebuilt after the Nazis razed the city following an uprising of the Polish people. The country's break from communism in the late '80s and early '90s required the entire system to be rejiggered into a market economy. As of 2024, the country's GDP is 21st in the world. To see how Poland is increasing its stake in the world of automotive suppliers and technology, I visited a wide range of individually owned and government-funded companies and research facilities to where the country is
Baldwin, Roberto
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.
In modern automotive manufacturing, ensuring the integrity of suspension joints under real-world driving conditions is a critical aspect of vehicle safety and performance. These joints endure substantial transverse loads and large vibrations due to irregular road surfaces, dynamic maneuvers, and varying environmental factors. As a result, bolt loosening becomes a significant concern, compromising joint integrity and overall vehicle reliability. This paper delves into the challenges associated with maintaining joint integrity, specifically focusing on pre-load determination, torque application, and production-related issues. The pre-load generated during torquing is the primary factor that ensures a suspension joint remains securely fastened under dynamic road conditions. This pre-load is derived using road load data acquisition (RLDA) inputs, which capture the forces acting on the joint during actual driving scenarios. RLDA inputs provide critical insights into the forces experienced
Kumar, SabeeshVasant Kumar, Jesse DanielMishra, HarshitSenthil Raja, TNayak, BhargavM, SudhanNamani, PrasadVibhute, Shekhar
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
Singh, Pundan KumarRaj, AbhishekKumar, AnkitChatterjee, SourabhVerma, Rahul KumarSamantaray, BikashGautam, VikasPandey, Ashwani
Today, passenger car makers around the world are striving to meet the increasing demand for fuel economy, high performance, and silent engines. Corporate Average Fuel Economy (CAFE) regulations implemented in India to improve the fuel efficiency of a manufacturer's fleet of vehicles. CAFE goal is to reduce fuel consumption and, by extension, the emissions that contribute to climate change. CNG (Compressed Natural Gas) engines offer several advantages that help manufacturers meet and exceed these standards. The demand for CNG vehicles has surged exponentially in recent years, CNG engine better Fuel efficiency and advantage in CAFÉ norms make good case for OEM & Customer to use more CNG vehicle. CNG is dry fuel compared to gasoline. These dry fuels lack lubricating properties, unlike conventional fuels like petrol, diesel and biofuels, which are wet and liquid. Consequently, the operations and failures associated with these fuels differ. The materials and designs of engine parts, such as
Poonia, SanjayKumar, ChandanSharma, ShailenderKhan, PrasenjitBhat, AnoopP, PrasathNeb, Ashish
The safety of vulnerable road users, particularly pedestrians, cyclists, and motorcyclists, is a paramount concern in automotive design and regulation. In India, the situation is particularly alarming, with pedestrians being the second highest victims of road accidents, as evidenced by over 32,825 reported pedestrian accidents and 4,836 cyclist fatalities in 2022, excluding two-wheeler motorcyclists. On a global scale, the prevalence of such incidents has prompted European countries to introduce new regulatory requirements, such as ECE R127.03. This regulation encompasses the evaluation of pedestrian head form impacts on windshields, assessing the typical behavior of glass through jerk criteria following initial contact, in conjunction with the existing Head Injury Criterion (HIC) evaluation for pedestrian head forms. These criteria’s are meticulously designed to ensure that both acceleration and jerk remain within safe limits to reduce the severe risk of severe injury to head of
Kumar, RitikA, Rajesh
The modern vehicle is no longer a mechanical appliance—it has transformed into a software-defined cyber-physical system, integrating OTA updates, cloud-connected diagnostics, V2X services, and telematics-driven personalization. While this evolution promises unprecedented value in consumer experience and fleet operations, it also surfaces a dramatically expanded and evolving attack perimeter, especially across safety-critical ECUs and communication buses. Cyber vulnerabilities have shifted from isolated IT threats to real-time, embedded exploits. Controller area network (CAN), the backbone of vehicle bus systems, remains intrinsically insecure due to its lack of authentication and encryption, making it highly susceptible to message injection and denial-of-service by low-cost tools. Similarly, OEM implementations of BLE-based passive entry systems have proven vulnerable to replay and spoofing attacks with minimal hardware. In the Indian context, the transition to connected mobility is
Shah, RavindraAwasthi, Vibhu VaibhavKarle, Ujjwala
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
Oka, Dennis KengoVadamalu, Raja Sangili
Transportation sector in India accounts for 12% of total energy consumption. Demand of energy consumption is being met by the imported crude oil, which makes transportation sector more vulnerable to fluctuating international crude oil prices. India is mindful of its commitment in 2016 Paris climate agreement to reduce GHG emissions intensity of its GDP by 40% by 2030 as compared to 2005 levels. To fast track the decarbonization of transportation sector, commercial vehicle manufacturers have been exploring other viable options such as battery electric vehicles (BEVs) as a part of their fleet. As on today, BEV has its own challenges such as range anxiety & high total cost of ownership. Range anxiety can be certainly addressed by optimum sizing of electric powertrain, reduction in specific energy consumption (SEC) & use of effective regeneration strategies. Higher SEC can be more effectively addressed by doing vehicle energy audit thereby estimating the energy losses occurring at each
Gijare, SumantKarthick, K.Juttu, SimhachalamThipse, Sukrut S.A, JothikumarJ, Frederick RoystonSR, SubasreeG, HariniM, Senthil Kumar
The scale of worldwide population presents its own set of difficulties, especially in densely populated cities. Almost every individual has some form of personal transport, which leads to congestion and limited parking space. Automotive manufacturers are scaling down the size of vehicles to resolve these issues to some extent. This paper is based on the NVH development of a single cylinder diesel engine vehicle. It provides an insight into the comprehensive vehicle level NVH refinement approaches adopted. The NVH characteristics of benchmark two-cylinder diesel and baseline vehicle were measured and analyzed for target setting. The performance of each subsystem such as engine mounting, vehicle structure, intake and exhaust was evaluated, and gap analysis was performed against set targets. It was found that the engine mounting system and vehicle structure were inefficient in isolating the excitation forces. The design and location of the mounting system was evaluated using CAE and
Ghale, Guruprasad ChandrashekharBaviskar, ShreyasBendre, ParagKamble, PranitBhangare, AmitTHAKUR, SUNILKunde, SagarWagh, Sachin
The application of AI/ML techniques to predict truck endgate bolt loosening represents a major innovation for the automotive industry, aligning with the principles of Industry 4.0. Traditional physical testing methods are both expensive and time-consuming, often identifying issues late in the development process and necessitating costly design changes and prototype builds. By harnessing AI/ML, manufacturers can now analyze endgate slam and bolt preload data to accurately forecast potential bolt loosening issues. This predictive capability not only enhances quality and safety standards but also significantly reduces the costs associated with tooling and builds. The AI/ML tool described in this paper can simulate a variety of load conditions and predict bolt loosening with over 90% accuracy, considering factors such as changes in loads, bolt diameters, washer sizes, and unexpected masses added to the endgate. It provides valuable design insights, such as recommending optimal bolt
Sivakrishna, MasaniDas, MahatSingh, AbhinavKarra, ManasaShienh, GurpreetLuebke, Amy
The objective of this study was to examine the effect of Correlated Colour Temperature (CCT) of automotive LED headlamps on driver’s visibility and comfort during night driving. The experiment was conducted on different headlamps having different correlated colour temperatures ranging from 5000K to 6500K in laboratory. Further study was conducted involving participants of different age group and genders for understanding their perception to identify objects when observed in light of different LED headlamps with different CCTs. Studies have shown that both Correlated Colour Temperature and illumination level affect driver’s alertness and performance. Further study required on headlamps with automatically varying CCT to get better solution on driver’s visibility and safety.
Patil, Mahendra G.Kirve, JyotiParlikar, Padmakumar
Effective communication is the key for bringing harmony - be it the communication between humans and humans, or communication between machine and machine. Today’s car is a sophisticated gadget, equipped with the best of technologies running using millions of lines of codes of software. The effective use of these technologies involve communication between car to car and car to infrastructure using Dedicated Short-Range Communication (DSRC), C-V2X (Cellular Vehicle-to-Everything). It is pertinent that any communication using the internet needs to be digitally secure and that the systems are designed to mitigate the perceived threats. The methods used for ensuring cyber safety of automobiles need to be verified before the end product is put to use. Automotive Industry Standards AIS-189 and AIS-190 have been formulated to provide a harmonized verification framework. Both the vehicle manufacturer and the test agency need to equip themselves with necessary skills and tools to ensure
Nayak, PratikTandon, VikramBadusha, AkbarDesai, ManojSathianesan, Rejin
This paper presents a bidirectional digital twin developed for the Fischertechnik Smart Factory Kit, enabling real-time simulation and validation of production line modifications prior to actual deployment. The digital twin integrates with a Siemens Programmable Logic Controller (PLC) to mirror real-world operations, capturing live production data and visualizing key factory parameters, such as product, process, and resource metrics within a 3D environment. Engineers can test various optimization scenarios by adjusting robot speed and path, conveyor speeds, part & process sequences, and modifying equipment layout sizes to enhance efficiency. Based on the optimization scenarios, the best-performing configurations are identified using metrics such as throughput, cycle time, and resource utilization. Once validated, these changes are directly deployed to the PLC, ensuring seamless implementation. Beyond capacity optimization, this solution enhances overall production efficiency by
Kumar, RahulSingh, Randhir
The Ro-dip Cathodic Electrodeposition (CED) process is new technology used by automotive manufacturers for higher quality corrosion protection in new generation automobiles. This process involves multiple 360-degree rotation of automotive body-in-white (BIW) which exert higher hydrostatic pressure and drag forces on large surface panels of BIW like hood. For maintaining consistent gaps and flushness control at vehicle level, it is important to safeguard the dimensional stability of light weight (crash performance sensitive) steel hood panel while undergoing through this CED process. This study investigates the enhancement of hood structure supports through strategic optimization of support rod placement and quantity within the Ro-dip CED paint shop system. This Paper underscore the importance of tailored fixture design in the Ro-dip CED process, offering a scalable solution for automotive manufacturers aiming to improve quality while reducing costs associated with dimensional
Tile, VikrantUnadkat, SiddharthAskari, HasanJadhav, Devidas
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
Juliatti, Rafael MotterOliveira, Julia Mathias deMorais Hanriot, Sérgio deSilveira, Hairton Júnior Jose daMoreira, Vinicius Guerra
Safety improvements in vehicle crashworthiness remain a primary concern for automotive manufacturers due to the increasing complexity of traffic and the rising number of vehicles on roads globally. Enhancing structural integrity and energy absorption capabilities during collisions is paramount for passenger protection. In this context, longitudinal rails play a critical role in vehicle crashworthiness, particularly in mitigating the effects of rear collisions. This study evaluates the structural performance of a rear longitudinal rail extender, characterized by a U-shaped, asymmetric cross-section, subjected to rear-impact scenarios. Seventy-two finite-element models were systematically developed from a baseline configuration, exploring variations in material yield conditions, sheet thickness, and targeted geometric modifications, including deformation initiators at three distinct positions or maintaining the original geometry. Each model was simulated according to ECE R32 regulation
Souza Coelho Freitas, Victor dePereira, Romulo FrancoSouza, Daniel Souto de
Potholes pose significant challenges to road infrastructure and the automotive industry, leading to safety risks, vehicle damage, and increased maintenance costs. These road defects form due to water infiltration, freeze-thaw cycles, heavy traffic, and inadequate maintenance, creating localized depressions with well-defined edges that compromise pavement integrity. Their impact extends to vehicle durability, affecting tires, suspension systems, and chassis components. This study presents a standardized manual methodology for pothole characterization, focusing on geometry, depth, and distribution assessment. Unlike advanced techniques such as LiDAR and GPR, this cost-effective approach requires no specialized equipment, making it accessible and practical for real-world applications. The methodology involves profile measurements, lateral positioning analysis within the lane, and density calculation based on pothole concentration by square kilometers. To validate the methodology was
Arias, Caio BorgesDedini, Franco GiuseppeEckert, Jony Javorski
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.
Finland-based Metos Oy, a manufacturer of professional stainless steel kitchen equipment, needed a welding solution that could deliver flawless, pressure-rated welds for small batches of high-spec products, which feature tubular structures and circular shafts that required continuous, precision welding.
Battery technology is at the center of global innovation. From electric vehicles and off-highway machinery to consumer electronics and grid storage, demand for high-performing, reliable batteries has never been higher. This acceleration creates pressure on manufacturers to scale production while safeguarding quality and throughput.
As I'm wont to do come December, with work well underway on the first issue of the new year, I like to take stock of upcoming venues for innovative product reveals and thought-provoking presentations on emerging trends and technologies. Come the first week of January, that means CES in Las Vegas. Traditional equipment manufacturers have increasingly used the event to demonstrate to the broader public that they not only deal in metal but also the digital realm. For example, earlier this year at CES, John Deere revealed its second-generation tech stack featuring camera pods, Nvidia Orin purpose-built processors and Deere's VPUs (vision processing units), along with four new autonomous machines including the 9RX 640 tractor for open-field ag operations. The company is exhibiting again this coming year.
Gehm, Ryan
When manufacturers seek to leverage specialized expertise, advanced processing capabilities, or proprietary technologies without assuming the financial burden of acquiring and maintaining dedicated equipment or facilities, they often turn to toll processing.
In this Q&A, Audrey Turley, director of lab operations – biosafety at Nelson Laboratories, spoke with Medical Design Briefs about the critical importance of monitoring and managing material changes in medical devices. Even seemingly minor shifts — such as switching suppliers or altering processing steps — can introduce unknown additives or variations that impact biocompatibility and, ultimately, patient safety. Turley discusses how manufacturers can effectively document and justify changes, maintain regulatory compliance, and strengthen supplier relationships to ensure ongoing device safety. She also shares insights into trends shaping post-pandemic supply-chain strategies and the growing emphasis on proactive risk assessment and communication across the product lifecycle.
This specification establishes process controls for the repeatable production of aerospace parts by EB-DED-Wire. It is intended to be used for metal aerospace parts produced by additive manufacturing (AM), but usage is not limited to such applications.
AMS AM Additive Manufacturing Metals
The Operator’s Field of Vision (FOV) test, conducted in accordance with IS/ISO 5006:2017, is a vital assessment to ensure the safety and operational comfort of personnel operating Construction Equipment Vehicles (CEVs) / Earth-Moving Machinery. IS/ ISO 5006:2017 defines rigorous guidelines for evaluating the operator’s visibility from the driver's seat, with particular emphasis on the Filament Position Centre Point (FPCP), determined from the Seat Index Point (SIP) coordinates. The test includes assessment of masking areas, focusing on the Visibility Test Circle (a 24-meter diameter ground-level circle around the machine), and on the Rectangular Boundary on which a vertical test object is placed at a height specific to the machine type and its operating mass. These parameters are designed to simulate real-world operating conditions. This paper introduces a portable testing setup developed specifically for conducting the Operator’s FOV test as per IS/ISO 5006:2017. The setup facilitates
Ghodke, Dhananjay SunilTambolkar, Sonali AmeyaBelavadi Venkataramaiah, Shamsundara
This paper introduces a comprehensive solution for predictive maintenance, utilizing statistical data and analytics. The proposed Service Planner feature offers customers real-time insights into the health of machine or vehicle parts and their replacement schedules. By referencing data from service stations and manufacturer advisories, the Service Planner assesses the current health and estimated lifespan of parts based on metrics such as days, engine hours, kilometers, and statistical data. This approach integrates predictive analytics, cost estimation, and service planning to reduce unplanned downtime and improve maintenance budgeting, aligning with SAE expectations for review-ready manuscripts. The user interface displays current part health, replacement due dates, and estimated replacement costs. For example, if air filter replacement is recommended every six months, the solution uses manufacturer advisories to estimate the remaining life of the air filter in terms of days or
Chaudhari, Hemant Ashok
With the global increase in demand for construction equipment, companies face immense pressure to produce more products in a competitive and sustainable way by utilizing advanced manufacturing technologies. Additionally, the need for data analytics and Industry 4.0 is increasing to take better decisions early in the development cycles and during the production phase. Advanced manufacturing processes & adopting Industry 4.0 is the only viable solution to address these challenges. However, the implementation of advanced manufacturing processes in heavy fabrication and construction equipment factories has been slow. A significant challenge is that the products being produced were originally designed for conventional manufacturing processes. When factories are becoming smart and connected through Industry 4.0 solutions, companies must reconsider many established assumptions about advanced manufacturing processes and their benefits. To maximize efficiency gains, improve safety standards
Bhorge, PankajSaseendran, UnnikrishnanRodge, Someshwar
In today’s competitive landscape, industries are relying heavily on the use of warranty data analytics techniques to manage and improve warranty performance. Warranty analytics is important since it provides valuable insights into product quality and reliability. It must be noted here that by systematically looking into warranty claims and related information, industries can identify patterns and trends that indicate potential issues with the products. This analysis helps in early detection of defects, enabling timely corrective actions that improve product performance and customer satisfaction. This paper introduces a comprehensive framework that combines conventional methods with advanced machine learning techniques to provide a multifaceted perspective on warranty data. The methodology leverages historical warranty claims and product usage data to predict failure patterns & identify root causes. By integrating these diverse methods, the framework offers a more accurate and holistic
Quadri, Danishuddin S.F.Soma, Nagaraju
Over the past 25 years, the heavy fabrication and construction equipment industry has experienced significant transformation. Driven by a global surge in demand for construction machinery, manufacturers are under increasing pressure to deliver higher volumes within shorter timelines and at competitive costs. This demand surge has been compounded by workforce-related challenges, including a declining interest among the new generation in acquiring traditional manufacturing skills such as welding, heat treatment, and painting. Furthermore, the industry faces difficulties in staffing third-shift operations, which are essential to meet production targets. The adoption of automation technologies in heavy fabrication and construction equipment manufacturing has been gradual and often hindered by legacy product designs that were optimized for conventional manufacturing methods. As the industry transitions toward smart, connected manufacturing environments under the industry 4.0 paradigm, it
Saseendran, UnnikrishnanBhorge, Pankaj
Direct current (DC) systems are increasingly used in small power system applications ranging from combined heat and power plants aided with photovoltaic (PV) installations to powertrains of small electric vehicles. A critical safety issue in these systems is the occurrence of series arc faults, which can lead to fires due to high temperatures. This paper presents a model-based method for detecting such faults in medium- and high-voltage DC circuits. Unlike traditional approaches that rely on high-frequency signal analysis, the proposed method uses a physical circuit model and a high-gain observer to estimate deviations from nominal operation. The detection criterion is based on the variance of a disturbance estimate, allowing fast and reliable fault identification. Experimental validation is conducted using a PV system with an arc generator to simulate faults. The results demonstrate the effectiveness of the method in distinguishing fault events from normal operating variations. The
Winkler, AlexanderMayr, StefanGrabmair, Gernot
Widespread adoption of electric vehicles (EVs) is hindered by "range anxiety," a major concern for consumers. A primary contributor to this issue is the significant energy consumption of the Heating, Ventilation, and Air Conditioning (HVAC) system, which can account for 15-40% of a vehicle's total energy demand, directly reducing its practical driving range. Using the 1D simulation tool GT-SUITE, this research provides a comparative analysis of two distinct HVAC architectures: a conventional air-cooled condenser (ACC) and a proposed liquid-cooled condenser (LCC). The performance of both hardware systems was evaluated under two control strategies a Proportional-Integral (PI) controller and a basic On/Off controller—to identify the optimal configuration. The results advocate that optimizing the system's architecture and control logic yields a substantial improvement in the Coefficient of Performance (COP) ranging from 47% to 128% compared to the baseline ACC/On-Off configuration, with a
T R, RakshithYadav, Ankit
Cabin air quality plays a crucial role in ensuring passenger comfort, health and driving experience. There have been growing concerns over poor cabin air quality resulting from multiple factors, including infiltration of external pollutants such as particulate matter, volatile organic compounds, emissions from vehicle interior materials, microbial contamination and inadequate ventilation. Therefore, maintaining optimal air quality inside vehicle cabin has become a critical aspect of vehicle climate control systems. Additionally, high humidity levels inside the cabin contribute to mold growth and fogging of windows, further compromising both air quality and visibility. This review explores such factors contributing to poor cabin air quality, where the severity of these issues ranges from mild discomfort and allergic reactions to long-term respiratory ailments. To mitigate these challenges, automotive manufacturers and researchers have implemented various air purification and filtration
Sharma, Shrutika
Noise generated by a vehicle’s HVAC (Heating, Ventilation, and Air Conditioning) system can significantly affect passenger comfort and the overall driving experience. One of the main causes of this noise is resonance, which happens when the operating speed of rotating parts, such as fans or compressors, matches the natural frequency of the ducts or housing. This leads to unwanted noise inside the cabin. A Campbell diagram provides a systematic approach to identifying and analyzing resonance issues. By plotting natural frequencies of system components against their operating speeds, Test engineers can determine the specific points where resonance occurs. Once these points are known, design changes can be made to avoid them—for example, adjusting the blower speed, modifying duct stiffness, or adding damping materials such as foam. In our study, resonance was observed in the HVAC duct at a specific blower speed on the Campbell diagram. To address this, we opted to optimize the duct design
Trivedi, ArpitaKumar, RaviMadaan, AshishShrivastava, Pawan
Efficient clearing of frost formed on automotive side window glass during cold conditions is crucial for maintaining visibility and ensuring passenger safety. Conventional systems often employ dedicated side demisters, which increase system complexity, production costs and vehicle weight. This study explores an alternative approach to defrosting side window glass by optimizing airflow from the defroster, thus eliminating the need for separate side demisters. The Study leverages optimized airflow dynamics and strategic design of defroster to direct a portion of the air towards the side glass. Computational Fluid Dynamics (CFD) simulations and actual Tests to analyze the airflow patterns, temperature gradients, and defrosting efficiency of this configuration. Results indicate that the front defroster airflow can effectively clear frost from the side windows, achieving comparable performance to conventional side demisters. Key design parameters, including defroster geometry and airflow
Kushwaha, MayankBhangale, ShekharMittal, SachinKumar, MukeshUmbarkar, Shriganesh
In recent years, the vibration comfort of automobiles has become a key consideration for consumers when purchasing vehicles. This study introduces human electrocardiogram (ECG) signals and blood pressure, and proposes a comfort prediction model based on physiological indicators. The research steps include: obtaining riding indicators and subjective feelings on flat and bumpy roads, and analyzing the differences in heart rate variability indicators and blood pressure under different road conditions through paired sample tests; playing different sound signals on bumpy roads, and using repeated measures analysis of variance to explore their impacts on physiological indicators and subjective evaluations; conducting data validity tests on the subjective evaluation results, and constructing a comfort prediction model based on correlation analysis and support vector regression algorithm. The results show that there are significant differences in indicators such as the average RR interval and
Hu, LiChen, HaoWan, YeqingTian, RuiliXu, Jiahao
2024–2025 Reviewers
Barkey, Mark
The growing emphasis on environmental protection and sustainability has resulted in increasingly stringent emission regulations for automotive manufacturers, as demonstrated by the upcoming EURO 7 and 2027 EPA standards. Significant advancements in cleaner combustion and effective aftertreatment strategies have been made in recent decades to increase the engine efficiency while abiding by the emission limits. Among the exhaust aftertreatment strategies, three-way catalyst has remained the primary solution for stoichiometric burn engines due to its high conversion efficiency and ability to simultaneously allow both oxidative and reductive reactions in a single stage with spatial separation due to the oxygen storage capabilities of ceria. However, fuel and lubricant-borne sulfur and phosphorus compounds have been shown to have a significant long-term effect on the activity of three-way catalysts, particularly during the lean-rich transitions and oxygen storage processes. In the present
Sandhu, Navjot SinghYu, XiaoJiang, ChuankaiTing, DavidZheng, Ming
Hydrogen Internal Combustion Engines (H2 ICEs) are seen as a viable zero-emission technology that can be implemented relatively quickly and cost-effectively by automotive manufacturers. The changed boundary conditions of a hydrogen-fueled engine in terms of mechanical and thermal aspects require a review and potential refinement of the design especially for the 'piston bore interface' (liner honing, ring and piston design) but also for other engine sub-systems, e.g. the crankcase ventilation system. The influence of oil entry into the combustion chamber is even more important in hydrogen engines due to the risk of oil-induced pre-ignition. Therefore, investigations of the interaction between friction, blowby and oil transfer into the combustion chamber were performed and are presented in this paper. During the investigations, experimental tests were carried out on a single-cylinder engine ('floating liner') and on a multi-cylinder engine. The 'floating liner' concept allows the crank
Plettenberg, MirkoGell, JohannesGrabner, PeterGschiel, KevinHick, Hannes
Why smart electrical distribution is the new frontier in sustainable manufacturing. From transitioning to renewable energy, embracing the circular economy and pursuing carbon offsets, today's automakers are actively working to become more sustainable. Many OEMs have big goals to become fully carbon-neutral by 2050. Some believe they can get there even earlier. But look past the cars and sources of energy right into the factories in which the vehicles of today and tomorrow are born and focus on a key question: how can carmakers make significant strides inside their plants to cut waste and improve sustainability?
Hamadani, Mariam
Like those in many other industries, truck and off-highway vehicle manufacturers face the challenge of producing quality components and maintaining productive processes while also generating a better bottom line. Improving employee training, simplifying complex operations and implementing better workflows can all help generate efficiencies. While not a new concept, lightweighting - in this case, reducing the weight of parts through the substitution of traditional steel with high-strength, thinner steels - can also be a viable answer to a better vehicle. As a rule of thumb, when manufacturers double the strength of the material through lightweighting, it is possible to reduce the weight of the part by one-third. That weight reduction can then lower the cost per part for greater profitability per piece of equipment and greater annual savings.
Gugel, Mick
Celebrating its 35th year, the National Aerospace Defense Contractors Accreditation Program (Nadcap) continues to advance quality assurance and regulatory compliance for aviation, defense, and space OEMs and suppliers. This article summarizes how Nadcap accreditation works, its benefits for manufacturers, and its role in expanding additive manufacturing through industry-wide consensus. The Nadcap program was first established in 1990 by a small group of aerospace and defense OEMs. Their goal was to create an accreditation initiative that provides a common approach to auditing the manufacturing and production processes used by companies supplying parts, components, structures, and services to major aerospace and defense OEMs. This foundation set the stage for Nadcap's continued focus on quality assurance and regulatory compliance in the industry.
As automotive manufacturers have tried to set themselves apart by reducing emissions, and increasing vehicle range/fuel economy by eliminating any energy loss from inefficiencies on the vehicle, the brake corners have been an area of interest to reduce off-brake torque to zero in all conditions. Caliper designers can revise some attributes like piston seal grooves, and pad retraction features to reduce drag, but even if a caliper is designed perfectly in all aspects, trying to measure it in a reliable and repeatable manner proves to be difficult. There are many ways to measure brake drag all with ranging complexity. Some of the simplest measurements are the most repeatable, but it excludes the majority of the vehicle inputs. The most vehicle representative testing requires the most complex equipment and comes with the most challenges. This paper will focus mainly on the different ways residual brake drag can be measured, the benefits and challenges to each of them, the problems trying
Retting, Joshua
This specification establishes process controls for the repeatable production of aerospace parts by Electron Beam Powder Bed Fusion (EB-PBF). It is intended to be used for aerospace parts manufactured using additive manufacturing (AM) metal alloys, but usage is not limited to such applications.
AMS AM Additive Manufacturing Metals
Aerospace research and development (R&D) is at a turning point. Emerging technologies promise faster and more efficient systems, but also expose deep limitations in aging infrastructure, siloed processes, and manual workflows. The growing disconnect between technological advances and the physical and organizational infrastructures that support them creates a bottleneck to industry progress. Electric actuation, advanced automation, and software-driven testing are becoming the norm, challenging manufacturers to adapt without disrupting operational stability. Navigating this tension requires strategic investments, flexible design thinking, and a willingness to break from legacy approaches that can no longer support the innovations driving the industry forward.
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