Browse Topic: Production

Items (7,931)
Find
Assessing Excavator Quick Couplers: A Customer-Centric Study to Application Suitability2025-28-0268To be published on 11/06/2025
In the fast-paced world of construction, the demand for machine Uptime is paramount. Various construction machines play crucial roles in applications such as digging, loading, landscaping, and demolition. One critical component that significantly enhances machine uptime for these operations is the quick coupler. This innovative attachment facilitates rapid tool changes, enabling operators to switch between attachments seamlessly. It also boosts operator safety by eliminating frequent interaction between the operator and the attachments. Additionally, the ease of replacing attachments ensures that operators can easily use the correct attachment for specific tasks optimizing overall attachment usage. This paper aims to study the trade-off between breakout force and productivity when using quick couplers. This research assists customers in determining whether to utilize quick couplers based on their specific application requirements. The findings of this study are designed to help
Bhosale, Dhanaji Haridas, PARAMESWARAN, SANKARAN, Narayanan, Arun
Transformative Deep Learning for Image Colorization with Machine Learning-Based Classification2025-28-0317To be published on 11/06/2025
Imagine a user opening a technical manual, eager to troubleshoot an issue, only to find a mix of stark black-and-white illustrations alongside a few color images. This inconsistency not only detracts from the user experience but also complicates understanding. For technicians relying on these documents, grayscale graphics hinder quick interpretation of diagrams, extending diagnostics time and impacting overall productivity. Producing high-quality color graphics typically requires significant investment in time and resources, often necessitating a dedicated graphics team. Our innovative pipeline addresses this challenge by automating the colorization and classification of existing grayscale graphics. This approach delivers consistent, visually engaging content without the extensive investment in specialized teams, enhancing the visual appeal of materials and streamlining the diagnostic process for technicians. With clearer, more vibrant graphics, technicians can complete tasks more
Khalid, Maaz, Akarte, Anurag, Kale, Aniket, Rajmane, Gayatri, Nalawade, Komal
3D Printed Injection Molding Tool: An unique Approach for New product development2025-28-0321To be published on 11/06/2025
Automotive industry frequently uses 3D printed plastic proto parts during new product development phases as it bypasses the high tooling investment & development time at early part development stage. However for some application, 3D printing technique & its limited material options are not fulfilling the required material properties in the part, resulting poor performance during product testing which may mislead the design engineer during validation process. To overcome this, we introduce a novel approach in constructing injection molding tool by 3D printing the core and cavity using Stereolithography (SLA). This enables production of parts with application-recommended material grades, facilitating traditional validation and increasing stakeholder confidence. This paper compares part quality from 3D printed molds against conventional metallic molds for a gear housing cover, demonstrating a 45% reduction in tooling costs and a 75% decrease in tooling development time. Mold life analysis
Gandhi, Sorna Rajendran
Enhanced PTO motor operation modes in Electric tractor2025-28-0239To be published on 11/06/2025
This paper is about optimized way of operation of PTO motor (Auxiliary motor) in Electric tractor using 3 different modes - Low Idle mode, Loader mode and PTO mode. These modes will provide benefit to user by improved battery range, comfort/less fatigue while using loader operation and improved performance or productivity while using PTO operated implements.
sundaram, Pavithra, M, Rojer, Natarajan, Saravanan, Joshi, Priyanka
Design IQ2025-28-0327To be published on 11/06/2025
Weight and cost are critical parameters in any new product development program, influencing aspects such as homologation and efficiency. Traditionally, tracking these parameters at the machine, subsystem, and module levels involves a manual, time-consuming process. This reactive approach often delays the program and hampers the productivity of design engineers. These challenges can be managed with an automation and simulation. WCOSAP automates the extraction of weight details, identifies outliers, calculates module-level impacts, and predicts future weight changes. This proactive tool eliminates repetitive manual work, enhances data accuracy, and supports dynamic updates. By integrating real-time data and predictive models, WCOSAP enables sound decision-making and proactive weight control during the design phase, ultimately improving efficiency and reducing the need for part revisions. This paper discusses the development, implementation, and benefits of the WCOSAP tool, highlighting
Patil, Vivek, Sahoo, Abhilash, ballewar, Sachin, Chidanandappa, Basavaraj, Chundru, Satyanarayana
Technology Driven Solutions for Effective Tool Management.2025-28-0249To be published on 11/06/2025
IoT is revolutionizing the asset tracking industry, transforming it from manual entries in spreadsheets and logs to real-time, data-driven, foolproof solutions that boost manufacturing efficiency. Technical advancements are occurring in the IOT architecture. Leveraging a combination of cost-effective sensors such as LoRa -WAN and UWB provides data precision and accuracy by replacing traditional benchmark hardware solutions. Protocols like MQTT and Kafka enhance the data connectivity layer, enabling rapid data flow and logging, instantaneous insights, and agile decision-making. In the context of manufacturing, real-time indoor tracking ensures that equipment, tools, and products are located more accurately, resulting in improved operational matrices like productivity, availability, etc. This aligns with digital LEAN manufacturing principles such as Continuous Improvement (CI), Equipment Utilization factor, and just-in-time inventory management.
Patel, Shravani Prashant
A Load Cell-Free Solution for Weighing2025-28-0346To be published on 11/06/2025
The agricultural industry increasingly demands innovative solutions to enhance efficiency and productivity, while minimizing overhead costs of an advanced system. Large farms cultivating forage crops for the Dairy and Livestock sectors require high-quality, dense bales that retain their nutritional value. Bale weight serves as a critical parameter for assessing production yields, managing inventory and facilitating fair trade in the industry. Traditional weighing systems reliant heavily on load cells, can pose limitations in terms of cost, complexity and maintenance. This paper presents an advanced model-based weighing system de-signed specifically for balers machine. It utilizes mathematical models and dynamic torque monitoring techniques to accurately estimate the weight of bales just after the baling process. The Bale weight calculation is achieved by measuring reverse pressure experienced during bale handling and monitoring the pitch angle to compensate for measurements over
Kadam, Pankaj
Advanced Manufacturing Processes – Construction Equipment’s2025-28-0243To be published on 11/06/2025
With the global increase in demand for construction equipment, companies face immense pressure to produce more products in a competitive & sustainable way by utilizing advanced manufacturing technologies. Additionally, the need for data analytics and Industry 4.0 is increasing to take better decision 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 its benefits. To maximize efficiency gains, improve safety standards, and
Bhorge, Pankaj, Saseendran, Unnikrishnan, RODGE, SOMESHWAR
Bale Wrap orientation tracking for on-field storage2025-28-0279To be published on 11/06/2025
In the agricultural industry, the transportation and storage of bales-dense stacks of hay used as cattle feed-present significant logistical challenges, particularly for large farms. Traditionally, this process involves extensive labor and vehicle movement from the field to storage areas, known as barns. Improper handling during this transition can lead to substantial losses in both time and re-sources. This development aims to eliminate the last-mile transportation step by enabling year-round storage of bales directly in the field. This objective is achieved through the utilization of a patented wrapping material and the strategic orientation of wrapped bales to enhance their resistance to weather conditions. Field experiments demonstrated that this innovative material not only protects the bales from adverse environmental factors but also effectively retains their nutrient and moisture content. A critical challenge was ensuring correct orientation of the wrap seams during the
Kadam, Pankaj
Enhancing Tractor Operator Comfort and Safety Through Advanced Drive Assistance Features2025-28-0216To be published on 11/06/2025
This paper explains the role of Advanced drive assistance features that have been designed to increase comfort, operational efficiency, and safety in an electric tractor. Prime goal is to address the challenges faced by the operators currently in a variety of agricultural and utility applications. Hill hold and electric parking brake work in tandem to offer unparalleled safety by eliminating the fear of tractor roll back in uneven terrain and surfaces both in launch and normal operational scenarios. Cruise and Creep control in a combination have been designed to reduce operator fatigue and increase productivity.
M, Rojer, sundaram, Pavithra, Natarajan, Saravanan, devakumar, Kiran, Muniappan, Balakrishnan
Automated Offboard system to measure the volume of harvested material2025-28-0331To be published on 11/06/2025
Problem Statement: Measuring the volume of harvested material behind the machine can be beneficial for various agricultural operations, such as baling, dropping, material decomposition, cultivation, and seeding. This paper aims to investigate and determine the volume of material for use in various agricultural operations. This proposed methodology can help to predict the amount of residue available in the field, assess field readiness for the next production cycle, measure residue distribution, determine hay readiness for baling, and evaluate the quantity of hay present in the field, among other applications which would benefit the customer. Solution Statement: • TO Improve the agricultural production system. • By – Measuring the volume of harvested material • Using – Remote Sensing and IoT Technology: System is going to use Onboard camera and satellite image to determine the volume of materials. The system collects data from the capture device during runtime to obtain information
Singh, Rana Shakti
Implementing Generative AI into Realtime Visualization Workflow2025-28-0324To be published on 11/06/2025
The development of 3D models is a critical component of the asset creation workflow in industries. However, traditional modeling techniques often demand extensive manual input, particularly in the areas of modeling, retopology, and texturing. To address challenges, we propose the integration of generative AI technologies into the 3D modeling workflow, aiming to enhance efficiency and streamline processes. This paper presents a comprehensive methodology that leverages advanced algorithms, machine learning techniques, and specialized software to automate repetitive tasks associated with 3D asset creation. By harnessing the power of generative AI, we aim to significantly reduce the manual effort required to produce high-quality 3D models, thereby accelerating the overall development timeline. The aim is to enter a prompt/Image as input to get a fully developed Model. Through a series of experimental implementations, we are aiming to demonstrate the effectiveness of our proposed framework
Arunachalam, Haripriya, GUMASTE, Amey, Kumar, Pravin
Eyes of Robot operating system for future hands2025-28-0246To be published on 11/06/2025
In today’s competitive market, factories need to harness their full potential by smart and adaptive thinking to keep up with changing technology, demand, and manufacturing process. This demands multiple product manufacturing on same line, less time for changeovers and robotic automations for efficiency improvements. Each custom automation piece requires human efforts for development and maintenance. Robot programming is major pain area for industries requiring skilled professionals and adapting to shifting market demands. Enabling ROS with Cameras for learning natural/traditional way of manufacturing for Robots and incorporating that to program them will reduce manual efforts, skilled professionals and help factories in sustainability, highest customization, and even higher quality. Enabling ROS with Camera to capture -> connect -> compile -> create for reducing development time and increasing efficiency. This will help industries to manage even the complex product portfolio on a
Hepat, Abhijeet
Additive Manufacturing for Custom Off-Highway Vehicle Components: Enhancing Performance and Sustainability2025-28-0250To be published on 11/06/2025
Off-highway vehicles (OHVs) operate in challenging environments that demand high-performance components that can withstand extreme conditions. This paper explores the use of additive manufacturing (3D printing) to produce custom, lightweight components for OHVs, offering significant advantages over traditional manufacturing methods. By utilizing advanced materials and CAD/CAM software, this approach enables the creation of complex, optimized designs that reduce vehicle weight, enhance fuel efficiency, and improve overall performance. Additionally, 3D printing reduces material waste and shortens production times, making it an ideal solution for producing tailored components with minimal environmental impact. The use of rapid prototyping further accelerates the design and testing process, enabling faster iteration and optimization of vehicle parts. This innovation not only improves OHV functionality but also aligns with sustainability goals by minimizing resource usage and reducing the
Vashisht, Shruti
Analysis of Artificial Intelligence in biofuel industry: A case study2025-28-0341To be published on 11/06/2025
Increasing reservations about the consumption of fossil fuels due to their detrimental impact on our ecosystem has led to an increased focus to look for renewable alternative. In the last decade, biofuels have attracted much attention as a promising replacement for fossil fuel-based diesel, especially in the transportation sector. Biofuels are non-toxic, environmentally friendly, and carbon-free fuel that can be made from naturally available resources. Biofuel production and its further utilization requires identifying unknown parameters having nonlinear relationships between each other. Accurate and better predictive tools are required at different stages during its usage. AI technique is one such tool that can provide support during production and utilization. The same is utilized to design handle, control, optimize, and monitor the system. The present research investigates the different areas of AI usage which makes use of production modeling methods, machine learning for better
Vashist, Devendra
Higher-strength, higher-toughness die cast wheel material using recycled aluminum2025-32-0007To be published on 11/03/2025
In an attempt to reduce CO2 release from the alloy wheel production, we have developed such an aluminum alloy for casting that satisfies necessary property requirements using recycled aluminum and without heat treatment. The wheel is a critical safety item of the vehicle requiring higher toughness and strength. In many wheels, virgin aluminum containing small amounts of impurities are used to maintain toughness, and the heat treatment (T6), in which quick heating and cooling are conducted after the casting, is applied to provide ensure strength. At the start of this project, we focused on two wheel-manufacturing processes; the production of virgin aluminum and the heat treatment, from which a large amount of CO2 is released. The change from the virgin to the recycled material allows reduction of CO2 release to 1/9. The issue in the use of recycled material is that impurities grow in the metal structures as an intermetallic compounds and lower toughness. To deal with the said issue, we
Suzuki, Noritaka
Artificial Intelligence application in biodiesel production and usage for better resource utilization2025-28-0385To be published on 10/30/2025
Increasing reservations about the consumption of fossil fuels due to their detrimental impact on our ecosystem has led to an increased focus to look for renewable alternative. In the last decade, biodiesel has attracted much attention as a promising replacement for fossil fuel-based diesel, especially in the transportation sector. Biodiesel is a non-toxic, environmentally friendly, and carbon-free fuel that can be made from any kind of vegetable oil or fat. Biodiesel production and its further utilization requires identifying unknown parameters having nonlinear relationships between each other. Accurate and better predictive tools are required at different stages during its usage. AI technique is one such tool that can provide support during production and utilization. The same is utilized to design handle, control, optimize, and monitor the system. The present research investigates the different areas of AI usage which makes use of production modeling methods, machine learning for
Vashist, Devendra, KUMAR, VIVEK
Optimizing Electric Vehicle Motor Testing with Fine Gaussian SVM and Bilayered Neural Network.2025-28-0397To be published on 10/30/2025
Electric vehicles are shaping the future of the automotive industry, with the drive motor being a crucial component in their operation. Ensuring motor reliability requires rigorous testing using specialized test benches to validate key performance parameters. However, inefficiencies in the helical gear configuration within these test systems have led to frequent malfunctions, affecting production flow. This study focuses on optimizing the motor test bench by refining critical design parameters through vibration signal analysis and machine learning techniques. Vibrational data is collected under different gear configurations, utilizing an accelerometer integrated with a Data Acquisition (DAQ) system and MATLAB-based directives for seamless data collection. Machine learning classifiers, including Fine Gaussian SVM and a Bilayered Neural Network, are applied to categorize signals into normal and faulty conditions, both with and without a 0.25 KW load. The analysis reveals that SVM
S, Ravikumar, Sharik, N, Syed, Shaul, V, Muralidharan, D, Pradeep Kumar
Diversifying the Supply Chain for Producing Large-Scale Metal PartsTBMG-5371309/01/2025
Researchers at the Department of Energy’s Oak Ridge National Laboratory are using advanced manufacturing techniques to revitalize the domestic production of very large metal parts that weigh at least 10,000 pounds each and are necessary for a variety of industries, including clean energy.
Training and Approval of Thermal Processing PersonnelARP1962C (Current)08/22/2025
This SAE Aerospace Recommended Practice (ARP) describes training and approval of personnel performing certain thermal processing and associated operations that could have a material impact on the properties of materials being processed. It also recommends that only approved personnel perform or monitor the functions listed in Table 1.
AMS B Finishes Processes and Fluids Committee
Aluminum Alloy Castings, Investment, 7.0Si - 0.32Mg (356.0-T51), Precipitation Heat TreatedAMS4261H (Current)08/22/2025
This specification covers an aluminum alloy in the form of investment castings (see 8.6).
AMS D Nonferrous Alloys Committee
Spray Drying Tech Used in Instant Coffee Applied to High-Capacity Battery ProductionTBMG-5352508/01/2025
Secondary battery electrodes are made by mixing active materials that store electrical energy, conductive additives that help the flow of electricity, and binders, which act as a kind of adhesive. There are two methods for mixing these materials: the wet process, which uses solvents, and the dry process, which mixes solid powders without solvents. The dry process is considered more environmentally friendly than the wet process and has gained significant attention as a technology that can increase the energy density of secondary batteries. However, until now, there have been many limitations to achieving a uniform mixture of active materials, conductive additives, and binders in the dry process.
Developing Durable Solar Panels Without SiliconTBMG-5354908/01/2025
Solar panels are composed of dozens of solar cells, which are usually made of silicon. While silicon is the standard, producing and processing it is energy-intensive, making it costly to build new solar panel manufacturing facilities. Most of the world’s solar cells are made in China, which has an abundance of silicon. To increase solar cell production in the U.S., a new, easily produced domestic material is needed. “We’re developing technologies that we can easily produce without spending a ton of money on expensive equipment,” said Juan-Pablo Correa-Baena, an Associate Professor in the School of Materials Science and Engineering.
Komatsu logs a new timber machine25TOFHP08_1108/01/2025
Komatsu has announced a new swing machine designed to move large quantities of timber in log loader and millyard environments. The TimberPro TN785D is Komatsu's most powerful and highest capacity machine to date. According to Komatsu, it was built with proven components and new features to meet the demand of high productivity swing applications. “TimberPro has designed this machine to excel in high demand millyard applications where lift capacity, reach combined with stability and hydraulic response are key to maximizing productivity,” said Nathan Repp, product manager for Forest Products at Komatsu. “We understand the real-world demands our customers face in these environments, and the TN785D was designed to meet those needs.”
Wolfe, Matt
Retrofit in Industrial Production: Digitization of Existing SystemsTBMG-5353208/01/2025
Alloy, Corrosion- and Heat-Resistant, Investment Castings 30Fe - 21Cr - 20Ni - 20Co - 3.0Mo - 2.5W - 1.0Cb - 0.15N (N-155) As-CastAMS5376J (Current)07/16/2025
This specification covers a corrosion- and heat-resistant iron alloy in the form of investment castings.
AMS F Corrosion and Heat Resistant Alloys Committee
Nickel Alloy, Corrosion- and Heat-Resistant, Investment Castings 73Ni - 0.14C - 13Cr - 4.5Mo - 2.3Cb (Nb) - 0.75Ti - 6.0Al - 0.010B - 0.10Zr (IN-713) Vacuum Cast, As-CastAMS5391J (Current)07/16/2025
This specification covers a corrosion- and heat-resistant nickel alloy in the form of investment castings.
AMS F Corrosion and Heat Resistant Alloys Committee
Nickel Alloy, Corrosion- and Heat-Resistant, Investment Castings 47.5Ni - 22Cr - 1.5Co - 9Mo - 0.60W - 18.5Fe (Hastelloy® X) As-CastAMS5390H (Current)07/16/2025
This specification covers a corrosion- and heat-resistant nickel alloy in the form of investment castings.
AMS F Corrosion and Heat Resistant Alloys Committee
An Investigation into Friction Stir Surfacing of AA 6061-T6 Alloy on Low-Carbon Steel: Microstructural and Mechanical Analysis05-19-02-001306/30/2025
Friction stir surfacing is an advance surface modification technique, which is functionally evolved from the friction stir welding process. However, the fundamental reason behind the joining of Al/steel is difficult due to the formation of hard and brittle intermetallic compounds (IMC). To address the problem of IMC formation, the current study suggested an alternate production technique with solid-state friction surfacing deposition. In this work, the adhesion mechanism and metallurgical properties of solution-treated AA6061-T6 aluminum alloy cladding over a low-carbon steel IS2062 substrate were investigated. Impact procedural factors (axial frictional force, spindle speed, table traverse speed, consumable rod diameter, and substrate roughness) were examined. Push-off and hardness tests were used to inspect the mechanical properties of cladded samples. 67–77± HV hardness is observed at the interface of the cladded cross-section. A push-off strength of 9 kN was achieved, indicating
Badheka, Kedar Hiteshkumar, Sharma, Daulat Kumar, Badheka, Vishvesh
Core, Honeycomb, Aluminum Alloy, Corrosion Inhibited, For Sandwich Construction, 5052, 350 Fahrenheit (177 Celsius)AMS4348F (Current)06/17/2025
This specification covers bonded honeycomb core made of aluminum alloy and supplied in the form of blocks, slices, or other configurations as ordered (see 8.5).
AMS D Nonferrous Alloys Committee
Hard Anodic Coating of Magnesium Alloys Alkaline, Non-Chromate Type, High VoltageAMS2466D (Current)06/17/2025
This specification covers the requirements for a hard anodic coating on magnesium alloys and the properties of the coating.
AMS B Finishes Processes and Fluids Committee
Castings, Leaded Bronze, Sand and Centrifugal, 80Cu - 10Sn - 9.5Pb, As CastAMS4842G (Current)06/17/2025
This specification covers a leaded bronze in the form of sand and centrifugal castings (see 8.6).
AMS D Nonferrous Alloys Committee
Aluminum Bronze, Centrifugal and Chill Castings, 85Cu - 11Al - 3.6Fe, As CastAMS4870G (Current)06/17/2025
This specification covers an aluminum bronze alloy in the form of centrifugal and chill castings (see 8.5).
AMS D Nonferrous Alloys Committee
Nickel-Aluminum-Bronze, Martensitic, Sand, Centrifugal and Continuous Castings, 78Cu - 11Al - 5.1Ni - 4.8Fe, Quench Hardened and Temper AnnealedAMS4881E (Current)06/17/2025
This specification covers a nickel-aluminum-bronze alloy in the form of sand, centrifugal, and continuous castings (see 8.5).
AMS D Nonferrous Alloys Committee
Brazing, Silver For Use Up to 800 °F (427 °C)AMS2664G (Current)06/17/2025
This specification covers the engineering requirements for producing brazed joints in parts made of steels, iron alloys, nickel alloys, and cobalt alloys by use of silver alloy filler metals and the properties of such joints.
AMS B Finishes Processes and Fluids Committee
Techno-Economic Analysis of an Integrated E-Methanol Production Plant Utilizing First and Second Generation Biomass Resources2025-01-018206/16/2025
This study presents a comprehensive techno-economic assessment (TEA) of an integrated e-methanol production system building upon previously published foundational research utilizing Aspen Plus modeling for e-methanol production from sugar cane and sugar beet biomass. The established integrated system converts biomass into ethanol through fermentation and synthesizes e-methanol using both captured CO2 and syngas derived from biomass residue gasification. This approach maximizes CO2 and biomass utilization, promoting a circular carbon economy. The TEA quantifies capital expenditures (CAPEX), operational expenditures (OPEX), and levelized costs of Methanol (LCOM), providing a detailed economic analysis of the potential for commercializing e-methanol. A sensitivity analysis evaluates the impact of feedstock prices and Technology Readiness Levels (TRL), identifying key leverage points affecting financial viability. The study aims to explore the potential of utilizing existing agricultural
Fernandes, Renston Jake, Shakeel, Mohammad Raghib, Nguyen, Ducduy, Im, Hong G., Turner, James W.G.
PRODUCT BRIEFS25TOFHP06_1306/01/2025
Hatz Americas (Waukesha, Wisconsin) expanded its power generation product portfolio to include AC and DC mobile diesel generators for the recreational vehicle and industrial markets. The new offerings provide prepackaged, sound-attenuated solutions for power generation and hybrid battery charging. Manufacturing and testing of the 1B30VE engines used in the generators will continue to take place at the primary engine plant in Ruhstorf, Germany. Final assembly of the generator sets will occur at Hatz's new production facility in Italy. The first model released will be the GD3200-120 Silent Pack with RV package, which is available to order. This will be followed by the BD3000-56 Silent Pack for use in either 28V or 56V hybrid battery charging systems. https://www.hatzamericas.com
How SmartCap Uses AI-Powered Robots to Manufacture Steel Truck Cap SystemsTBMG-5321206/01/2025
For the team at SmartCap, building top-notch gear for outdoor adventurers isn’t just a business — it’s a passion driven by their own love for the wild. But as demand for their rugged, modular truck caps soared after their move to North America in 2022, they hit a snag: How do you ramp up production without sacrificing the meticulous quality you are known for, all while navigating a tough labor market? Their answer? A bold step into the world of intelligent automation, teaming up with GrayMatter Robotics, and employing the company’s innovative Scan&Sand™ system.
Manufacturing Technologies: A 2025 Medical Device Industry OutlookTBMG-5328606/01/2025
The global medical device manufacturing industry is undergoing a rapid transformation driven by technological innovation, automation, and increasing demands for customized, high-quality care. For engineers at the heart of medtech manufacturing, understanding the latest technologies is crucial not only for maintaining competitiveness but also for ensuring regulatory compliance, improving time to market, and optimizing production workflows.
Pushing the Boundaries of Rapid Production of Spacecraft: Flight Results from NearSpace Launch’s TROOP and ThinSat PlatformsTBMG-5326006/01/2025
SAE TOMORROW TODAY - How Autonomy is Breathing New Life into Farming1351505/19/2025
Labor shortages are pushing many family farms to the brink. The solution? Autonomous technology which is emerging as a game-changer--boosting productivity, cutting risk, and giving family farms a fighting chance to thrive for generations to come. At the forefront of this transformation is Blue River Technology, a John Deere subsidiary leading the charge in precision agriculture. From AI-driven tools to autonomous machinery, the company is helping to build the future of farming the John Deere way, meeting farmers in the field and designing solutions grounded in real-world challenges. With safety and scalability built in, farmers can start small with retrofit kits that upgrade existing tractors, making automation more accessible than ever. To learn more, we caught up with Aaron Wells, Director of Engineering at Blue River, to explore how automation is transforming agriculture and giving farmers the tools they need to stay ahead--despite labor challenges. We'd love to hear from you. Share
Hineman, Marcie
Optimization of Stainless Steel Casting Process Based on Numerical Simulation05-19-01-000605/10/2025
Due to the increasing precision requirements for stainless steel castings in the current industrial field, we take stainless steel as the object, use numerical simulation to analyze the manufacturing process of castings, and explore the mechanism of related defects and preventive measures. The results indicate that in the process optimization of small castings, the maximum shrinkage and porosity of the conventional scheme, the optimization scheme with the addition of cold iron and insulation riser, and the optimization scheme with the improved pouring system combined with the optimal parameters are 1.83%, 1.64%, and 1.42%, respectively. The optimal pouring temperature, pouring speed, and shell preheating temperature of medium- and large-sized castings are: 1620°C, 1.5 kg/s, and 1100°C, respectively. According to the aforementioned findings, the study raises the standard of precision production for stainless steel, and fuel the growth of the precision casting sector.
Huang, Jie, Zhang, Hongshan
Do EVs Snore?2025-01-007405/05/2025
As the adoption of Electric Vehicles (EV) and Plug-in Hybrid Electric Vehicles (PHEV) continues to rise, more individuals are encountering these quieter vehicles in their daily lives. While topics such as propulsion sound via Active Sound Design (ASD) and bystander safety through Acoustic Vehicle Alerting Systems (AVAS) have been extensively discussed, charging noise remains relatively unexplored. Most EV/PHEV owners charge their vehicles at home, typically overnight, leading to a lack of awareness about charging noise. However, those who have charged their cars overnight often report a variety of sounds emanating from the vehicle and the electric vehicle supply equipment (EVSE). This paper presents data from several production EVs measured during their normal charging cycles. Binaural recordings made inside and outside the vehicles are analyzed using psychoacoustic metrics to identify sounds that may concern EV/PHEV owners or their neighbors.
Marroquin, Marc, Bray, Wade
Identification and Evaluation of Passthroughs that Affect the Acoustic Performance of a Dash System2025-01-012105/05/2025
This paper discusses a systematic process that was developed to evaluate the acoustic performance of a production dash system. In this case it is for an electric vehicle application. The production dash panel was tested under different configurations to understand the importance of passthroughs in the acoustics of the system. Results show that often the performance of the passthroughs strongly affects the overall performance of the dash system and this may become the limiting factor to increase the system sound transmission loss. To understand the acoustic strength of different passthroughs and their effects on the overall system, the dash with passthroughs underwent extensive testing. Subsequently, a test procedure using flat panels was developed to quantify the performance of individual passthroughs on a part level. This data can be used by the OEM to develop STL targets that can be considered in the grommet design early in the vehicle development process.
Saha, Pranab, Baack, Gregory, Geissler, Christian, Kaluvakota, Srikanth, Pilz, Fernando
A Comparative Analysis of Fault Diagnosis by Vibration Signals for Critical Gear Components in Electric Vehicle Motor Testing Machines Using Machine Learning Algorithms2025-01-004005/05/2025
Electric vehicles (EVs) are shaping the future of mobility, with drive motors serving as a cornerstone of their efficiency and performance. Motor testing machines are essential for verifying the functionality of EV motors; however, flaws in testing equipment, such as gear-related issues, frequently cause operational challenges. This study focuses on improving motor testing processes by leveraging machine learning and vibration signal analysis for early detection of gear faults. Through statistical feature extraction and the application of classifiers like Wide Naive Bayes and Coarse Tree, the collected vibration signals were categorized as normal or faulty under both loaded (0.275 kW) and no-load conditions. A performance comparison demonstrated the superior accuracy of the wide neural networks algorithm, achieving 95.3%. This methodology provides an intelligent, preventive maintenance solution, significantly enhancing the reliability of motor testing benches.
S, Ravikumar, Sharik, N, Syed, Shaul, V, Muralidharan, D, Pradeep Kumar
Thin-Film Electronics for Flexible Chip DesignTBMG-5303705/01/2025
The mass production of conventional silicon chips relies on a successful business model with large “semiconductor fabrication plants” or “foundries.” New research by KU Leuven and imec shows that this “foundry” model can also be applied to the field of flexible, thin-film electronics. Adopting this approach would give innovation in the field a huge boost.
Serial Hi-Rel Ring Network for Aerospace Applications (RingNet)AS1393 (Current)04/28/2025
This standard establishes the design requirements for a fiber optic serial interconnect protocol, topology, and media. The application target for this standard is the interconnection of multiple aerospace sensors, processing resources, bulk storage resources and communications resources onboard aerospace platforms. The standard is for subsystem interconnection, as opposed to intra-backplane connection.
AS-1A Avionic Networks Committee
Dependency of Gear Honing Machine Processing Accuracy on Machine Vibration and the Vibration Reduction Considering Contribution2024-32-002004/18/2025
In recent years, accurate gear processing is required for various products to improve efficient power transmission and small noise and vibration. On the other hand, the accuracy tends to be worse by high speed processing for increasing production efficiency. Therefore, we investigated relationship between gear honing machine vibration and the accuracy. The vibration acceleration of the honing machine was measured at various conditions, and the gear accuracy was measured after processing. As results, the accuracy was observed to be affected by both the original gear accuracy before honing processing and the gear secondary rotational vibration of the machine in operation. Subsequently, we applied transfer path analysis (TPA) to investigate which directional force in operation increased the vibration. As the results, the contribution from the input force at gear processing point along normal direction was the main contributor. Then, vibration transmission characteristics of the machine
Hanioka, Hiroaki, Ogawa, Yunosuke, Yoshida, Junji, Onishi, Yoichi, Kurokawa, Yasuhiro
SPC based Critical Parameters Monitoring of Vendor Supplied Parts by Auto OEM for Quality Control2025-01-833404/01/2025
In Automobile manufacturing, maintaining the Quality of parts supplied by vendor is crucial & challenging. This paper introduces a digital tool designed to monitor trends for critical parameters of these parts in real-time. Utilizing Statistical Process Control (SPC) graphs, the tool continuously tracks Quality trend for critical parts and process parameters, predicting potential issues for proactive improvements even before parts are supplied. The tool integrates data from all Supplier partners across value chain into a single ecosystem, providing a comprehensive view of their performance and the parts they supply. Suppliers input data into a digital application, which is then analyzed in the cloud using SPC techniques to generate potential alerts for improvement. These alerts are automatically sent to both Suppliers and relevant personnel at the OEM, enabling proactive measures to address any Quality deviations. 100% data is visualized in an integrated dashboard which acts as a
Sahoo, Priyabrata, Garg, Ishan, Rawat, Sudhanshu, Narula, Rahul, Gupta, Ankit, Bindra, Ritesh, Rao, Akkinapalli VN, Garg, Vipin
Finite Element Simulation and Experimental Study of the in-Mold Graining Process2025-01-833004/01/2025
In-Mold Graining (IMG) is an innovative production technology applied to the skin wrapping of automotive interior components. In the design of automotive interior components of door panels and instrument clusters, to overcome process-related problems, such as the thinning of grain patterns and excessive reduction in thickness, simulation of the skin vacuum forming process is required. The Thermoplastic Olefin (TPO) skin material is investigated in this paper, and a viscoelastic mechanical model for this material is established. Dynamic Mechanical Analyzer (DMA) is utilized to perform scan for frequency and temperature, and the tested data is used to obtain key model parameters of the viscoelastic constitutive model. Based on the experimental data, the study explores how to calculate the relaxation time spectrum to describe the viscoelastic properties of TPO material during the vacuum forming process. Numerical simulation of the vacuum forming process of TPO material is conducted using
Chai, Bingji, Guo, Yiming, Xie, Xinxing, Zhang, Qu
Items per page:
1 – 50 of 7931