Browse Topic: Tools and equipment

Items (7,190)
This novel method deals with emulation of Strain of a Structural Measurement System which includes software validation, acceptance tests and training. Current methods for simulating strain and force data for developing and verifying data acquisition (DAQ) software typically rely on costly electronic simulators or specialized hardware, making it challenging and expensive for developers, researchers, and small organizations to test their solutions under realistic conditions. To verify DAQ software, multiple specialized hardware solutions are deployed, that include Electronic Simulators, Commercial DAQ Modules and Hydraulic/Pneumatic test rigs. These technologies pose a challenge with limited flexibility and scalability options for small-scale prototyping, especially in budget-constrained scenarios. The sensors on these equipment may or may not be company approved inducing acceptance challenges. Our invention is an inexpensive, scalable, and mechanically simple alternative. Using a 3D
Murthy, HarshaBhat Venkatesh, AditiK Padmanabhan, RahulMadhu, SheetalGarag, Naveen
As aerospace platforms adopt increasingly interconnected architectures for avionics, telemetry, and predictive diagnostics, lightweight publish–subscribe protocols have become integral to communication efficiency. The Message Queuing Telemetry Transport (MQTT) protocol is widely employed due to its small footprint and low network overhead. The release of MQTT 5.0 introduces new control features—reason codes, session expiry, user properties, topic aliasing, shared subscriptions, and improved error feedback—aimed at enhancing scalability and diagnostic reliability. However, these benefits come with trade-offs in complexity and potential overhead, particularly in real-time and resource-constrained environments typical in aerospace. This paper evaluates MQTT 3.1 and MQTT 5.0 within aerospace IoT contexts using a Raspberry Pi–based experimental framework. The analysis is done using practical throughput benchmarks implemented via popular open-source tools like Eclipse Mosquitto Clients
Bhuyar, PrabhudevM, MeghanaKaniraja, ChristinaThomas, Tinto
To enhance the economic efficiency and operational security of distribution grids, this paper develops a reactive power optimization model that incorporates distributed power sources. The model aims to minimize the costs of reactive-load compensation equipment, reduce voltage deviations, and lower network losses while satisfying operational constraints. To overcome the common drawbacks of the standard genetic algorithm—such as limited optimization precision and a tendency to converge to local optima—four improvement strategies are introduced. These include an enhanced encoding scheme, an initial population generated via opposition-based learning, an elite retention strategy, and the adaptive adjustment of crossover and mutation rates. Together, these modifications strengthen the algorithm’s global search capability. The proposed approach is validated using the IEEE30 node system. Compared with both the conventional genetic algorithm (GA) and an adaptive genetic algorithm, the improved
Wang, MaozeXiao, WenyuLiu, YujiaXu, ZhengweiXia, Yinyong
Causal inference from observational data, particularly the estimation of a treatment’s causal effect on an outcome, has long been challenging, primarily because it hinges on correctly identifying confounders. This is typically accomplished in two main ways within causal inference frameworks: either by using causal discovery algorithms to recover the underlying causal structure through a causal graph, or by assuming that the relevant confounders are already known. Both approaches have been shown to be unreliable or simply infeasible in practical applications. Although large language models (LLMs) are advancing rapidly, their emerging capabilities in causal inference have only recently begun to receive significant attention. Nevertheless, LLMs currently lack the ability to directly interpret structured tabular data, which is widely used in causal inference. To address this limitation, we introduce a novel framework, CauExecutor, for causal inference. Our framework enables a novel
Yang, JiaoyunChen, JinxiYin, YueLiu, LiLi, LianAn, Ning
When simulating spray atomization process involving VOF method, a core problem is the conflict between high grid detail and limited computer power. Although VOF and DPM methods have recently been coupled to reduce computational cost, their application in practical engineering calculations still imposes a considerable computational burden. To solve this, a better adaptive mesh refinement (AMR) plan is put forward. This plan uses a 0.2 mm initial grid (twice the usual 0.1mm) and allows refinement up to four levels. This improved technique makes high computational efficiency for large-scale simulations. Two types of nozzles are employed to evaluate the proposed method. However, for circular nozzles, the new method does not increase calculation speed, while lowers the accuracy of the simulation.In contrast, for square nozzles, it greatly boosts computation speed and keeping high accuracy. This makes the technique a useful tool for modeling transverse jet atomization in industry. Overall
Zhou, TaotaoMa, MingZhang, HaitaoZhang, FenganChen, XianhuiChen, QiXia, Hongwei
This article focuses on the problem of high labor cost, low processing efficiency and poor automation of the existing equipment in the postharvest processing of Chinese cabbage. It will design and produce an automated Chinese cabbage processing method called Smart Fresh Pack. Root removal, leaf removal, washing, loading, weighing, packaging and labeling functions were integrated, and smart dexterous intelligence was applied to core concepts and this can be used in the bulk production scenario of supermarkets in the city and countryside Compared with traditional assembly line equipment, obvious advantages in terms of structure, function and processing capacity: Key innovations include: Low-pressure air jet cleaning replaces water washing, which prevents a second contamination and weighing error due to surface moisture; pneumatic gripper and multi-DOF robotic arms combine to package and dynamically weigh simultaneously, streamlining these tasks; machine vision relies on an SSD
Chen, YuhuiZhang, YixuanRuan, JiaZhu, HuayunHe, LianzhengZhao, Ping
Causal discovery within time series is crucial for revealing the actual causal mechanisms in dynamic systems, and it has major impacts in various fields like economics, healthcare, and climate science. Even though it’s important, accurately figuring out causal relationships from observational temporal data is still quite a difficult task. Traditional Granger causality based methods are often limited by noise sensitivity, large amount of data, and the inability to distinguish between real causality and false correlation caused by hidden factors. In order to solve these problems, this paper presents CausalAugVeri, which is a new algorithm that cleverly mixes data augmentation with causal verification to make causal discovery more solid and precise. This work has three main points: First, we carefully check that using convolutional data augmentation techniques can greatly improve how well time series predictions work, giving a steadier base for detecting Granger causality. Second, the
Yang, JingChen, XiaotaoQin, XuanliXu, XianjunHu, Zhangxiang
Meta-wheels—non-pneumatic wheels whose performance is governed by structural geometry rather than internal pressure—offer new opportunities for directional stiffness control. Yet achieving independent tuning of longitudinal, lateral, and vertical stiffness within a single wheel architecture has remained challenging due to the inherent coupling in conventional radial and planar curved spokes. In this study, we introduce a three-dimensional (3D) discrete curved-spoke design that provides explicit geometric control through two independent parameters: the in-plane curvature angle (α) and the out-of-plane inclination angle (β). Using spoke-level and full-wheel finite-element (FE) simulations, supported by a simplified cantilever-beam analytical model, we show that these two geometric parameters govern stiffness in fundamentally different ways. The curvature angle α serves primarily as a geometric softener, reducing stiffness in all directions while maintaining a high top-loading ratio (TLR
Han, HeeseungLiu, ZhipengJu, Jaehyung
Understanding the fluid flow behavior over and into narrow gaps is crucial for many industrial applications, particularly in the automotive sector. Evaluating the potential of water ingress into narrow pathways and towards components is of great importance to design the water management of such components. The employment of CFD simulations supports the evaluation of potential water ingress into such gaps. Lagrangian based tools are used in a variety of simulation scenarios of fluid flow, especially due to their ability to easily simulate free surfaces with strong curvatures. In our previous work, a validated simulation setup was developed using the meshless simulation tool MESHFREE from Fraunhofer ITWM [8] for simulating water entering small gaps. Especially for industrial use cases, the computation time of several days is too expensive. Thus, we enhanced this approach to a fast and robust CFD simulation that realizes industrial use cases within appropriate time. The development was
Zrnic, DinoKonstantinovics, AthenaKospach, AlexanderRugerri, EvelynLoy, MichaelBäder, DirkMichel, Isabel
In a few extreme customer abuse load cases such as curb impact and potholes, automotive structures see non-linear (plastic) deformations as well as large rigid body motion. The load cases can be simulated by a few tools: crash analysis tools such as LS-Dyna, non-linear structure analysis tools, or multi-body dynamics (MBD) analysis tools like Ansys Motion. The three simulation tools have pros and cons, respectively. In this study, a curb impact simulation was performed using the multi-body dynamic approach with nonlinear structural analysis capabilities included in Ansys Motion. The tool demonstrated the simulation was completed faster than other MBD tools due to smartly recycling the system Jacobian matrix when structural deformation was not significant. The results were compared with structural analysis and correlated reasonably well. The post-impact suspension alignment changes can also be simulated for reviewing design requirements. This approach proposes a new way to simulate
Hong, Hyung-JooKim, Wangoo
The useability of development processes in the automotive sector has decreased in the past years to a level at which their application and true benefit to is being questioned. Such degradation can be attributed to new additions to the processes and introduction of FuSa and Cybersecurity standards. The processes try to keep up with the shift from the traditional ‘plan–implement–test–roll-out' methodology to more agile methods. In addition, process departments typically in charge of these processes, focus on compliance to the letter of the standard to achieve certification, often with little thought to the actual implementation and the process they will be used by their engineering teams. Process growth to meet the needs of new and more complex technologies often mandates the use of new tools, which if implemented incorrectly can lead to unnecessary bureaucracy and additional overheads. Furthermore, the language of these new processes is in a form from assessor, making it difficult for
Weber, MatthiasKmiec, MateuszRomijn, MarcelNedkov, Detelin
The proven usefulness of large language models (LLMs) as tools for software development and the recent rapid increase in their capabilities have made it possible and attractive to extend their scope of application to almost all tasks in the engineering of complex and even safety-critical systems. While these tools promise substantial efficiency gains and improved engineering productivity, they remain prone to errors, and the generated artifacts may not meet the stringent quality requirements for safety-critical systems. In this paper, we systematically analyze potential applications of LLMs throughout the engineering lifecycle of safety-critical systems and identify associated risks as well as practical approaches to risk mitigation. We classify LLM-supported use cases according to LLM autonomy, impact, and artifact observability, and compare the corresponding mitigation strategies with established approaches used for traditional engineering automation. In addition, we examine the
Thomas, CarstenWagner, Michael
This work presents two approaches for weld optimization aimed at reducing manufacturing cost and process time, while meeting structural performance requirements in automotive structures. The first approach uses topology optimization to identify the most efficient weld layouts. A design space is generated along mating flanges, joints, and panel interfaces, where potential weld locations are defined. Welds are treated as discrete design variables, and the topology optimization systematically evaluates their contribution to global stiffness and load path integrity. Non-critical welds, those with minimal impact on stiffness, durability, or crashworthiness, are eliminated, resulting in a minimized weld pattern that maintains structural performance. The second approach applies Multi-Disciplinary Optimization (MDO) to balance weld reduction with performance targets across multiple domains, including linear and non-linear stiffness, crashworthiness, and fatigue. Using a preprocessing tool
Koppaka, VinayaYoo, Dong YeonChavare, Sudeep
In the stringent market of BEV, the development of integrated Drive Modules (iDM) fitting environmental and customer needs is mandatory. It is important to extract the best from the less. To achieve those goals, a deep insight into complex multiphysics phenomena occurring in an iDM has been achieved by accurate and validated models. This engineering methodology is applied through the development of BorgWarner products, comprising non-exhaustively iDM 180-HF, Externally Excited Synchronous Machine and Multi-Level Inverter. The paper will review the methodology development for deeper understanding involving in-house technical excellence and complemented by strategic partnerships with academic institutions and start-ups. It will present the approach of integrating advanced multiphysics models with high-quality experimental validations, specifically on loss evaluation on electrical machines and inverters. Complex models involving multiphysics such as thermal/fluid coupling or electric
Leblay, ArnaudBourniche, EricBossi, AdrienDavid, PascalNanjundaswamy, Harsha
The present study investigates optimization of ultimate tensile strength (UTS) in FSW of AA2024-T3 and SS304 in a butt joint configuration. An L18 mixed-level orthogonal array was used to design 18 experiments, varying tool rotational speed (450, 560, and 710 rpm), traverse speed (20, 25, and 40 mm/min), and pin offset (1 and 1.5 mm toward the Al side). The tool rotational speed had the greatest influence on UTS, contributing nearly one-third of the total variance, followed by pin offset and traverse speed. The optimal combination, 450 rpm, 20 mm/min, 1.5 mm offset, yielded a UTS of 344.7 MPa and a joint efficiency of 78.3%. At this setting, peak temperatures reached ~356 °C, ensuring sufficient plasticization and uniform mixing of the Al–SS interface, producing a refined stir zone with an average grain size of 4.2 μm. Fracture analysis revealed ductile failure at the optimal parameters, whereas suboptimal conditions resulted in brittle or mixed fractures due to either insufficient or
Mir, Fayaz AhmadKhan, Noor ZamanPali, Harveer Singh
With the rise of software-defined vehicles and the emergence of cyber threats to vehicular systems, developing teams are compelled to conduct extensive testing on both virtual and physical prototypes at an accelerated pace. This new development landscape necessitates diagnostic tools that are both precise and adaptable. However, proprietary systems dominate this field, often hindering accessibility for students and researchers due to high costs and restrictive licensing. This paper presents the design and implementation of an open-source, low-cost remote testing system tailored for automotive development and diagnostics. The proposed system utilizes Arduino and Raspberry Pi processing units, along with relay-based switching modules, to provide secure remote control of vehicle components through a web-based dashboard equipped with authentication, scheduling, and real-time synchronization capabilities. The tested prototype showcased robust scalability, secure session handling, and
Pries, AndrewMohammad, Utayba
Military tactical vehicles are increasingly incorporating anti-idle kits as a method to reduce fuel consumption. The larger battery pack associated with the anti-idle kit has the potential to provide new capabilities to the warfighter, who can use the battery pack to power pieces of equipment. This study analyzes a set of these new capabilities derived from the U.S. Army Universal Task List, supplemented with user interviews and doctrinal analysis. These capabilities include powering dismounted soldier systems, counter-drone and surveillance equipment, mobile refrigeration for medical applications, field maintenance tools, and mobile food services. The study then uses geolocation data collected from the U.S. Army’s National Training Center to model daily fuel consumption for soldiers performing each of these activities. The model was subsequently adapted to incorporate an anti-idle kit, revealing significant reductions in fuel usage. The analysis uses the results to define common
Lusian, TrevonteMummert, TaigeKaiser, CalebGreer, MichaelBlack, NathanielOng, BennettTapahonso, EugeneMittal, Vikram
This document is a guideline for format, structure and content for ground support equipment (GSE) technical manuals. This document focuses on requirements specific to the GSE industry and does not cover general technical publication practices. Additional standards for GSE and for manufacturer’s publications exist and may add requirements beyond what is covered in this standard. This may include EU Directive 2006/42/EC. This document is written in specific terms by intention, and conforms to recognized practices in the industry. When the word SHALL is used in this standard, it indicates a requirement that must be adhered to in total and does not allow for variance. When the word SHOULD is used, it indicates a recommended practice which allows the manual writer to use discretionary judgment. This document does not apply to electronic test equipment.
AGE-3 Aircraft Ground Support Equipment Committee
AE-8C2 Terminating Devices and Tooling Committee
Off-highway equipment operates in an environment defined by extremes - extreme loads, extreme duty cycles, extreme temperatures and extreme expectations. OEMs and fleet operators face mounting pressure to deliver more power, more uptime and more precision from platforms that are becoming increasingly compact, intelligent and complex. Whether the task is hauling, lifting, dumping, clearing or moving materials, the equipment must deliver consistent, reliable performance without compromise. This pressure is reshaping the mobile-hydraulic ecosystem. The industry is steadily shifting away from piecemeal systems and toward integrated, intelligent power architectures that maximize efficiency across the entire vehicle. Leaders in this space, Eaton among them, demonstrate how a system-level approach to PTOs, hydraulic pumps and control valves is enabling a new generation of off-highway innovation.
Bogdan, Corneliu
AE-8C2 Terminating Devices and Tooling Committee
This study presents a simulation-based approach to estimate the dog clutch engagement probability maps under different vehicle operating conditions. The developed probability function incorporates multiple critical parameters including initial speed differential between engaging components, application of countershaft brake, number of tooth in dog clutch, friction coefficients at tooth interfaces, applied actuation force, dog tooth geometry, and component inertia. Using MATLAB and Simulink, comprehensive simulation models were developed to analyze engagement dynamics and produce detailed probability maps at different vehicle speeds. The present work effectively outlines optimal operational zones for successful engagement while identifying critical regions prone to tooth clash and engagement failure. The effect of tooth geometry on engagement probability has been investigated to study its effect on the optimal mismatch speeds. The resulting engagement maps serve as valuable diagnostic
Khan, Mohammad AdeebKhan, Nuruzzama MehadiKoona, Rammohan
Tire noise reduction is important for improving ride comfort, especially in electric vehicle due to lack of engine noise and majority of the noise generated in-cabin is from tire-road interaction. Therefore, the tire tread pattern contribution is one of the important criteria for NVH performance apart from other structurally generated noise and vibration. In this work a GUI-based pitch sequence optimization tool is developed to support tire design engineers in generating acoustically optimized tread sequences. The tool operates in two modes: without constraints, where the pitch sequence is optimized freely to reduce tonal noise levels; and with constraints, where specific design rules are applied to preserve pattern consistency and manufacturability. The key point to be considered in this pitch sequence is that it should be reducing the tonal sound and equally spread i.e., the same pitch cannot be concentrated on one side which may lead to non-uniformity. So, the restriction is that
Sampathraghavan, LakshmiRamarathnam, Krishna KumarMantripragada PhD, Krishna TejaRamachandran, Neeraj
The rising software complexity in Automotive industry demands reusable, hardware-agnostic development frameworks. AUTOSAR (Automotive Open System Architecture) provides a standardized, scalable ECU software architecture but cost-effective tooling and modern workflows are critical for broad adoption and competitiveness. One such area is for AUTOSAR configuration and authoring of Autosar architecture. Current solutions include commercial offerings built by vendors on top of ARTOP (ArTOP is an eclipse-based ecosystem maintained by AUTOSAR consortium) and open-source python implementations. Commercial tools are prohibitive in cost, have complicated development workflows, are difficult to automate and lack quick integration with other tools. Python-based solutions are often community driven with small developer teams and face challenges. These tools are not mature enough, have staggered development, security concerns, liability issues, lack of approvals and other similar issues. These
Daware, KartikGarg, MuditPasupuleti, Raju
Current world conflicts have proven that drones are now indispensable tools in modern warfare. Whether for reconnaissance, loitering munitions, or asymmetric tactics that exploit vulnerabilities in conventional defenses, unmanned aerial systems (UAS) are redefining the rules of engagement.
The U.S. Food and Drug Administration (FDA) has taken a substantial step in its digital modernization strategy with the deployment of agentic artificial intelligence capabilities across all agency employee groups. The move represents an expansion of the agency’s internal AI tools, intended to streamline complex, multi-step processes that support regulatory science, product review, and compliance activities. The deployment strengthens the FDA’s ongoing effort to embed structured, secure, and transparent AI systems into daily workflows, building on the rapid adoption of the LLM-based tool Elsa earlier this year.
High-power fiber lasers have become increasingly indispensable tools in automotive manufacturing over the past two decades. They are now widely deployed in welding and brazing applications for body-in-white, powertrains, engine components, and more.
With the advancement of cable-stayed bridge construction technology, the application of long-span concrete girder cable-stayed bridge is gradually extensive, making the study of construction technology and equipment for concrete main girders increasingly important. The cable hanging basket, a crucial piece of equipment for cable-stayed bridge construction, maximizes the cable’s bearing capacity, improves construction efficiency, and ensures safety and stability during construction. However, due to the varying structural designs and construction environments, the cable hanging basket must be specifically tailored for different cases. The Hanjiang Bridge on the Xi’an-Shijiazhuang High-speed Railway is China’s first steel-truss-reinforced PC box-girder cable-stayed bridge, with a main span of 420 meters. If conventional diamond-shaped hanging baskets are used for suspended casting of small sections, the construction period will not meet the construction requirements of this bridge. To
Li, Jian
Objective:Methods:Conclusion:
Dai, HongzhouLi, JianZhao, DiLiu, Haoran
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
Rosa da Silva, Petterson MaxwellCampos, Renato deFranco, Bruno Chaves
This article focuses on the control of autonomous vehicles (AVs) using advanced methodologies, with particular emphasis on Model-based Predictive Control (MPC) as a tool for optimizing trajectory replication. The primary objective is to demonstrate that MPC can effectively minimize costs and improve efficiency in urban traffic scenarios. The study explores control strategies centered on reducing energy consumption and response time. Given the extensive research on this topic, the article evaluates and compares various control methods, including Pole Allocation, Linear Quadratic Regulator (LQR), and MPC, highlighting the superior capabilities of MPC in ensuring stability and adaptability. Simulations conducted in MATLAB are utilized to validate these approaches, focusing on maintaining trajectory stability during variations in the steering angle.
Baldi, EduardoConrado, Guilherme Barreto RollembergRibeiro, Levy PereiraRodrigues, Gustavo SimãoLopes, Elias Dias Rossi
Lithium-ion batteries (LIBs) have consolidated their place in the technology market for the energetic transition, with global manufacturing capacity exceeding 1 TWh in recent years and costs falling in this competitive environment. At the same time, the number of end-of-life LIBs is increasing, stimulating the recycling industry to process battery streams, thus promoting the circular economy to meet the increased demand for strategic raw materials and decarbonization. Vehicle electrification is the main driver of battery production, but their end-of-life will take some time to be significant in volume in the next years. Consumer electronics such as smartphones, laptops and power tools are now available at an appropriate volume enabling the preparation of recycling industry for the moment. In this scenario, recyclers are looking for sustainable routes to absorb all these streams and the different LIBs chemistries (LFP, NCA, NMC, LCO, LMO) to recover the critical metals (Ni, Co, Cu, Mn
Gobo, Luciana AssisFerrarese, AndreOliveira, Rafael Piumatti deMartins, Thamiris Auxiliadora GonçalvesGuillen, Daniela RomeroSilva Vasconcelos, David daTenório, Jorge Alberto Soares
As a crucial part of national strategic resources, petroleum is an important basic material for economic development. However, during the storage, loading and unloading, and transportation of bulk liquid petroleum products, unavoidable natural losses occur due to factors such as process technology and equipment. Therefore, studying the natural loss of liquid petroleum during storage and transportation, and adopting effective countermeasures to minimize the natural loss of liquid petroleum, has become a topic of focus in various fields. This paper uses the “Loss of Bulk Liquid Petroleum Products” approved in 1989 as the analysis standard to explore the natural loss of highway oil transportation, conduct statistical test analysis on oil data such as oil collection registration forms, and propose conclusions and suggestions, thereby providing a reference for the revision of oil loss standards. The experimental results show that the overall oil data meets the national standard for natural
Li, BixinLi, JilaiJin, Shifeng
This study estimates the automated detection costs for rural road pavement conditions in 32 provinces across China using conventional and lightweight equipment, respectively. Assuming full automated detection coverage, the detection costs for rural roads in Changji Hui Autonomous Prefecture and its subordinate counties are calculated to analyze the development path of automated rural road condition detection. The results show that the average detection cost using lightweight equipment is generally lower than that using conventional equipment. Based on national average detection costs, employing lightweight equipment for automated rural road detection in Changji Prefecture could reduce fiscal expenditure by approximately CNY 770,000. It is recommended that Changji Prefecture, in promoting rural road informatization, enhance the application of lightweight automated road condition detection equipment, expand the sharing and utilization of automated detection data, and strengthen the use
Yang, YutingZhang, MengWang, YajieLi, BingXu, Yongji
To address the challenges of high support deformation risk in soft rock tunnels of the Qinling Mountains and slow construction speeds in small-section tunnels due to spatial constraints, this study leverages the engineering geological characteristics of the region. These include predominantly mudstone and sandstone, well-developed joints and fissures, and moderately strong surrounding rock. Based on the Lianhua Mountain Tunnel project, the use of a cantilever roadheader in small-section tunnels with soft rock geology was introduced. Through in-depth research on adaptability and design parameters, it was demonstrated that the cantilever roadheader exhibits good adaptability in the soft rock regions of the Qinling Mountains and has significant potential for broader application. The application research results show that the cantilever roadheader causes minimal disturbance to the surrounding rock, resulting in smaller deformation. It also demonstrates a notable progress advantage in
Wu, JianminHu, RuoqiZhang, TeMeng, Xianghua
min
Wang, JieYang, YueChen, XinCui, Jiaxing
Minimally invasive and interventional platforms increasingly demand smaller profiles, tighter tolerances, and components that maintain performance under thermal, chemical, and mechanical stress. Polyimide (PI) has emerged as a workhorse within these parameters because it combines high strength, thermal stability, chemical inertness, dielectric performance, and biocompatibility in thin-wall formats suitable for catheters, electrophysiology tools, and neurovascular systems. 1- 3
Custom electrohydraulic solutions can address unique demands not satisfied by standard components. As mobile equipment is pushed to perform in increasingly demanding and challenging environments - ranging from frozen construction sites to harsh marine applications - some OEMs are discovering that customized solutions can provide significant advantages. Standard electronic controls and hydraulic components are carefully engineered to meet the requirements of a broad range of typical applications. For many OEMs, these components provide a dependable and cost-effective foundation, especially in environments and duties that don't push operational boundaries.
Cooper, Robin
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.
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.
Like octopi squeezing through a tiny sea cave, metatruss robots can adapt to demanding environments by changing their shape. These mighty morphing robots are made of trusses composed of hundreds of beams and joints that rotate and twist, enabling astonishing volumetric transformations.
Combining simulation with probabilistic ML enables engineers to chart the full design landscape, quantify uncertainty and uncover viable options that intuition and brute force alone would miss. Components and systems are routinely designed and validated virtually through tools like CFD and FEA before any physical prototype is built. The benefits are obvious: faster iteration, reduced cost and better products. But simulation is not cheap. Each run can take hours, consume costly GPU/CPU resources and require highly skilled engineers who are already in short supply. Licenses and compute costs can easily reach tens of thousands of dollars per seat, and most teams can complete only a few runs per day.
Appleyard, Nick
For any supplier in the medical device manufacturing industry, sustainable success requires an ability and a willingness to bring customers’ ideas to reality. There are often innovative, potentially life-saving projects that are delayed or even abandoned due to limitations on the manufacturing end. However, many specifications that seem impossible to meet can be achieved with persistence, collaboration, and dedication to customers’ ideas.
In today’s medical equipment market, reliability is not a luxury — it is a necessity. Every adjustment, every movement, and every interaction with the equipment must be performed flawlessly to ensure patient safety, caregiver efficiency, and long-term service life. Behind this design and precision are highly engineered motion control components, such as gas springs, electric linear actuators, and dampers, that ensure safe, ergonomic operation of medical equipment across a wide range of healthcare applications.
Hard carbon steel is used for drilling deep holes, such as C19, which has dimensions of 630 mm in length, 50 mm in breadth, and 125 mm in depth. Long twist drills with a diameter of 8 mm are used. Such drills are manufactured with larger helix than the traditional drills for increasing penetration efficiency. But, Prediction of long drill & tool replacement strategies during metal cutting are mostly depend on conservative estimation given by manufacturer’s catalog. Hence, long drill while drilling cam shaft in automobile applications may be underutilized or over utilized. Now a day, Diagnostics software in advanced CNC machines are indicating hours of utilization of tools in bar chart. On the other hand, Utilization of long drill wear beyond the recommended range affects the quality of workpiece. As a result, several researchers have proposed the reliable approach of vibration-based online monitoring of drill flank wear over the past 20 years. In these works, the vibration sensor is
R. S., NakandhrakumarRaja, SelvakumarElumalai, SangeethkumarVelmurugan, RamanathanM, Ramakrishnan
Off-highway vehicles (OHVs) are essential in heavy-duty industries like mining, agriculture, and construction, as equipment availability and efficiency directly affect productivity. In these harsh settings, conventional maintenance plans relying on set intervals frequently result in either early component replacements or unexpected breakdowns. This document presents a Connected Aftermarket Services Platform (CASP) that utilizes real-time data analysis, predictive maintenance techniques, and unified e-commerce functionalities to evolve OHV fleet management into a proactive and smart operation. The suggested system integrates IoT-enabled telematics, cloud-based oversight, and AI-powered diagnostics to gather and assess machine health indicators such as engine load, vibration, oil pressure, and usage trends. Models for predictive maintenance utilize both historical and real-time data to produce advance notifications for component failures and maintenance requirements. Fleet managers get
Vashisht, Shruti
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