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816 articles for “machining time”
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Monitoring of Ship Deployment Through Emerging Technologies
Abstract: The mission for naval vessels encompasses defining combat tasks, deployment statuses, and timing requirements to optimize combat patrol effectiveness and daily ship management. This involves inheriting, developing, and optimizing ship deployment strategies while establishing new deployment categories with distinct names, connotations, personnel, and equipment needs to ensure organic integration and synergy. Emphasis is placed on maintaining continuity, stability, and forward-thinking to meet the demands of warship combat operations, facilitate management …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 59–66 Read article
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Evaluation of Reliability in Five-Phase Induction Motor Operated at Low Speed by V/F Control Method using FPGA
Abstract: AbstractThis paper presents the study of performance and reliability evaluation of five-phase induction motor by finding various parameters in the induction motor. Induction motors have increased demand for low cost and size, simple construction, least maintenance, operational simplicity and brush-less construction with cage rotor. Industrial applications demand high efficiency, and reliable and long life-time electrical machines. The fault modes of induction machines are very complex; many researchers are plagued to …
Published in Journal of Power Electronics and Power Systems · Vol. 4, Issue 2, 2014 · pp. 56–61 Read article
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Research Paper On Design Modification Of Dipper Stick Of Jcb 3DX Model
Abstract: JCB’s excavators does various earth moving activities. Practically earth moving activity in them is made by backhoe assembly. In this assembly, the dipper stick is the part which connects the boom with the bucket. The stick provides the digging movement needed to pull the bucket through the ground. There are some problems like dipper stick can’t getting closer to the machine when they’re trenching, questions on their structural rigidity as …
Published in Trends in Mechanical Engineering & Technology · Vol. 11, Issue 1, 2021 · pp. 38–43 Read article
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Role of Machine Vision in Autonomous Vehicles: A Review
Abstract: The integration of machine vision in autonomous vehicles (AVs) is a critical advancement in the field of intelligent transportation systems. Machine vision systems enable AVs to perceive their environment, understand road conditions, detect obstacles, and make real-time decisions necessary for safe navigation. These systems rely heavily on image processing techniques, which have evolved significantly over the past decade, leading to improved performance in complex driving scenarios. These developments are largely …
Published in Trends in Machine design · Vol. 12, Issue 1, 2025 · pp. 38–43 Read article
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Influence of Cutting Angle on the Performance of an Orange Peeling Machine
Abstract: Growing demand for oranges for domestic and industrial uses requires a device that would peel the oranges at minimum cost, stress and time. Reduction in cost and stress can be meaningful only if the peeling time is minimised. Orange peeling machine was developed by taking into consideration effective choice of peeling tool component to enhance savings in peeling time. Tool holding system was made flexible to accommodate variation in set …
Published in Trends in Machine design · Vol. 6, Issue 2, 2019 · pp. 8–14 Read article
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Optimization of Machining Parameters of EN-27 Material Using Wire Electric Discharge Machining (WEDM)
Abstract: The optimization of Wire Electrical Discharge Machining (WEDM) parameters for EN-27 alloy steel, a high-strength material widely utilized in mechanical and structural applications, is the subject of this study's methodical analysis. Due to its hardness and poor machinability by conventional methods, WEDM is preferred for achieving precise dimensional accuracy and surface integrity. The primary objective of this work is to enhance machining performance by identifying optimal process parameters influencing Material …
Published in Journal of Production Research & Management · Vol. 16, Issue 1, 2026 · pp. 32–36 Read article
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`Lining Pains and Lance Strains-A Case Study to Competing Productivity
Abstract: A relation between sinter usages in burden and productivity are well established. Now a day, almost all blast furnace usages a sinter in its burden charge. The percentage of sinter in blast furnace is depending upon the availability of fines & sinter machine. But some time, due to non–availability of fine or sinter machines, or both, only calibrated iron ore lump are used as a source of iron in charge …
Published in Journal of Materials & Metallurgical Engineering · Vol. 1, Issue 1-3, 2011 · pp. 48–60 Read article
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Behaviour of NINL Blast Furnace with 100% Calibrated Lump Iron Ore
Abstract: A relation between sinter usages in burden and productivity are well established. Now a day, almost all blast furnace usages a sinter in its burden charge. The percentage of sinter in blast furnace is depending upon the availability of fines & sinter machine. But some time, due to non-availability of fine or sinter machines, or both, only calibrated iron ore lump are used as a source of iron in charge …
Published in Journal of Materials & Metallurgical Engineering · Vol. 1, Issue 1-3, 2011 · pp. 28–36 Read article
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Versatile CNC Machine for Tabletop Use Enhanced with Machine Learning Integration
Abstract: In the realm of tabletop multipurpose CNC machines, the integration of machine learning represents a groundbreaking advancement potentially revolutionary in the field of desktop manufacturing. This research explores the seamless incorporation of machine learning algorithms into tabletop CNC machines to enhance their capabilities, performance, and user experience. Through case studies and examples, we demonstrate the profound impact of machine learning integration in key areas of CNC machining, such as accurate …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 353–361 Read article
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Improving The Accuracy of Medical Diagonosis Detection Using Machine Learning
Abstract: While accurate and timely medical diagnosis is a fundamental aspect of effective health care delivery, traditional methods have not been able to overcome major hurdles such as inefficiencies in data analysis with Gi Human Error as well as limitations in scalability. The “Improved Accuracy of Medical Diagnosis Detection Using Machine Learning” project seamlessly integrates advanced machine learning (M L) technologies with efficient preprocessing and feature selection techniques to outperform all …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 1–8 Read article
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Design and Fabrication of Agriculture based Product Filling and Packing Machine
Abstract: In earlier days, filling and packing was done manually; a person had to weigh the product using some means like weighing balance and then fill it to a container and then pack it. This takes lots of labor and time which is the key factor in the mass production as well as in batch production. To reduce the man power in packing field and to increase the productivity, this concept …
Published in Trends in Machine design · Vol. 6, Issue 2, 2019 · pp. 1–4 Read article
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Appliance Scheduling Optimization for Demand Response: A Review
Abstract: The scheduling of appliance is controlled by different controlling algorithm. In these paper, we studied about the different demand required for domestic use and the industrial use. In this thesis, for the purpose of load profiles of appliances, the study is consider for a day of week from Monday to Friday in the season of summer for all the appliance consuming electricity in mid-size load. Appliances with major contribution in …
Published in Journal of VLSI Design Tools and Technology · Vol. 11, Issue 2, 2021 · pp. 35–41 Read article
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An Analysis of Machining Parameters for Metal Matrix Composite
Abstract: The electro-discharge machining analysis of hybrid Composite is presented in this work. Variables are chosen for the input process parameters. The material removal rate is acknowledged as an output parameter, together with the current, graphite and silicon carbide percentage and pulse on time. We used the Taguchi Method to conduct our experiments. To create the theoretical model and look into how process parameters affect the rate at which material is …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 76–85 Read article
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Innovative Water Distribution Systems: Raspberry Pi Based Adaptive Water Vending Solutions
Abstract: Technology has advanced to the point that many complex equipment and gadgets are now indispensable tools for humankind. Among these, automated vending machines have become a mainstay, simplified a variety of tasks and greatly increased productivity while reduced the need for human involvement. These devices, which have numerous inputs and outputs, can dispense snacks, cold beverages, coffee, tea, water, and more to meet the needs of a diverse clientele. The …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 33–42 Read article
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Optimization of Process Parameters for AISI 304 Using Micro-EDM Drilling Process: A Review
Abstract: Today, a variety of microparts are needed to fabricate high-tech items including MEMS applications and micro-electronic parts. The advancement of micromachining technology becomes ever more important in order to produce these micro parts. The creation of accurate holes and pins is one of themultiple processes in the micromachining process that is necessary for many small components. In order to create deeper, more straight holes, micro-hole drilling is utilized in a …
Published in Journal of Materials & Metallurgical Engineering · Vol. 13, Issue 3, 2023 · pp. 26–37 Read article
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Scheduling of Autonomous Robots in the Flexible Manufacturing System
Abstract: Fast adaptability and high flexibility have made use of autonomous robots (ARs) a popular choice for different material transfer activities in the flexible manufacturing systems (FMSs). The ARs are observed to be highly capable and flexible for integration with computer-controlled machine tools, producing different types of jobs in the FMS. The integrated scheduling of production operations on the machine tools and material transfer operations of ARs in the FMS can …
Published in Journal of Mechatronics and Automation · Vol. 6, Issue 3, 2019 · pp. 1–7 Read article
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Parallel Conwip for a High-mix Multi-stage Production System with the entrance of rework
Abstract: In a complex production environment, more than one type of pull systems is often used to regulate the processesof different products. In literature, performance studies appertaining to multiple pull systems co-existed in aproduction environment are rare. The present paper evaluates the performances of parallel CONWIP (PC)systems in a high-mix production system with the entrance of rework. The production comprises three stages ofshared-machine facilities. Reject parts produced by the first stage …
Published in Journal of Production Research & Management · Vol. 1, Issue 1-2-3, 2011 · pp. 21–44 Read article
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Next-Gen Techniques for Bottleneck Detection in High-Performance Computing
Abstract: Modern computing systems face new challenges in bottleneck detection and mitigation due to their increasing complexity which stems from multi-core architectures alongside distributed platforms and real-time processing needs. Traditional methods like hardware profiling and static analysis which used to work well now struggle to keep up with the changing conditions of dynamic system behaviors and diverse computing environments along with variable workload patterns. The current limitations restrict their capability to …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 09–14 Read article
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AI-Powered Drug Delivery: Revolutionizing Formulation Science
Abstract: Artificial Intelligence (AI) is emerging as a groundbreaking tool in revolutionizing Drug Delivery Systems (DDS), offering promising advancements in precision, efficiency, and personalized treatment strategies. The integration of AI technologies into pharmaceutical research and development is transforming how drugs are formulated, delivered, and monitored in real time. By leveraging machine learning algorithms and data analytics, researchers can design drug delivery models that are not only more effective but also tailored …
Published in Trends in Drug Delivery · Vol. 13, Issue 1, 2026 · pp. 48–61 Read article
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Analysis of Autonomous Maintenance System Using ELECTRE Method
Abstract: Automated maintenance as a maintenance strategy defined, where the machine operators their continuously monitor devices and make changes, perform minor maintenance work on their machines. Lower labor costs, fewer operators being next to their machine at all times, it is inefficiency and maintenance related to travel waiting for technician to arrive on site eliminates time completely. Clean equipment properly check that it is done and lubricated -a maintenance technician for …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 3, 2022 · pp. 14–25 Read article