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483 articles for “machining operation”
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Experimental Investigations on Concentric Flow Dry Ultrasonic Assisted Wire Electric Discharge Machining (CFDUAWEDM) Using Regression Analysis
Abstract: This paper presents an application of concentric flow mode of dry dielectric (compressed air) supply for ultrasonic assisted wire electric discharge machining process (CFDUAWEDM). The concentric flow mode of dielectric supply using ultrasonic assistance is expected to offers improved surface integrity, environmental and operator friendliness during wire electric discharge machining (WEDM) process. Experimental set up was developed wherein, the ultrasonic vibration was applied to the electrode wire using an ultrasonic …
Published in Trends in Machine design · Vol. 3, Issue 2, 2016 · pp. 33–43 Read article
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Evaluation of Optimal Parameters for Wire EDM Machine on En45A Alloy Steel using Taguchi and Grey Relational Analysis (GRA) Method
Abstract: The core goal of this research paper is to evaluate process parameters of wire electrical discharging machining and to find out the best parameter among the multiple responses given by machine. Wire cut machine is very accurate and precise machine which is actually manufactured to cut those material which have high strength, toughness, and hardness. This machine works on melting property; here spark is generated between the work piece and …
Published in Journal of Materials & Metallurgical Engineering · Vol. 6, Issue 1, 2016 · pp. 11–21 Read article
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Research Paper on Design Analysis of Bucket of JCB 3dx Model
Abstract: JCB machines principal functions are Digging (material removing), Ground leveling and material transport operations. Backhoe attachment is rear part of Excavator machine. The backhoe attachment is subjected to static as well as dynamic forces. Because of several working conditions, Excavator parts, like bucket, arm, and boom are subjected to high loads .Thus, it is necessary to provide a better design of parts having maximum reliability, keeping design safe under loading …
Published in Journal of Production Research & Management · Vol. 11, Issue 1, 2021 · pp. 37–41 Read article
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Comparative Analysis of Serial and Parallel Robot Mechanisms for Industrial Automation
Abstract: Serial and parallel manipulators represent two major mechanical architectures in industrial automation, each with distinct strengths and trade-offs. This study presents a detailed comparative analysis of serial-chain (open-kinematic) robots and parallel-kinematic manipulators (PKMs) with a focus on industrial automation tasks. It covers kinematics, static accuracy and stiffness, dynamics and actuation requirements, control and calibration burdens, workspace and singularity behaviour, and practical industrial considerations (cost, integration, safety, maintenance). Serial robots, exemplified …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 2, 2025 · pp. 22–26 Read article
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A Data-Driven Analysis of Machine Learning Classification Models for Reliable Crop Yield Prediction
Abstract: The adoption of ML technologies in agriculture is reshaping farming practices, empowering producers to make informed, data-oriented decisions that improve yields, sustainability, and long-term resilience. In mango cultivation, ML analyzes data from weather, soil, and pests to optimize irrigation, fertilization, and pest control. Predictive analytics help forecast ideal farming practices, minimizing resource wastage and improving yield. Real-time monitoring and image-based disease detection allow timely interventions to maintain plant health and …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 1, 2026 · pp. 12–17 Read article
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Enhancing Construction Safety Performance Through Artificial Intelligence: A Systematic Review
Abstract: The construction industry is still one of the most dangerous sectors globally because of its dynamic working environment, the employment of heavy machinery, and the complexity of operational processes. Traditional safety management methods are largely dependent on manual monitoring and reactive measures, which are not always effective for accident prevention. In recent years, Artificial Intelligence (AI) has been recognized as a revolutionary technology in construction safety, with capabilities such as …
Published in Journal of Industrial Safety Engineering · Vol. 13, Issue 1, 2026 · pp. 13–30 Read article
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Selection of Maintenance Strategy Using Hybrid AHP-VIKOR Approach for a Smart Manufacturing Application in Industry 4.0
Abstract: In Industry 4.0, choosing the right maintenance strategy is important for improving machine performance, reducing downtime, and ensuring smooth operation in smart manufacturing systems. This study aims to find the most suitable maintenance strategy for a customized machine-making company by using a combination of AHP and VIKOR methods. In this study, four types of maintenance strategies are considered: breakdown maintenance, time-based maintenance, condition-based maintenance, and predictive maintenance. First, the AHP …
Published in Journal of Production Research & Management · Vol. 16, Issue 2, 2026 · pp. 1–11 Read article
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Industrial Prognostics via Ensemble Machine Learning: An Uncertainty Aware Framework for RUL Estimation on NASA FD004 Telemetry
Abstract: Estimating the Remaining Useful Life (RUL) of industrial machinery in real-time is now vital for both operational safety and smart resource management. In the aviation industry, turbofan engines deal with constantly shifting flight conditions, making traditional, scheduled maintenance both expensive and prone to error. This paper addresses the flaws in common “point-prediction” AI models, which offer a single failure date without any margin for error, by introducing a new, uncertainty-aware …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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Eco-Design Approaches in Modern Machine Tool Construction
Abstract: In the contemporary landscape of manufacturing, sustainability is no longer optional; it is imperative. Within this context, machine tool construction presents a unique set of challenges and opportunities: these heavy, energy-intensive pieces of capital equipment operate across long lifecycles, consume substantial embodied energy and materials, and eventually require disposal or remanufacture. This study explores eco-design approaches tailored specifically to modern machine tools, covering the full lifecycle from material sourcing and …
Published in Trends in Machine design · Vol. 12, Issue 3, 2025 · pp. 23–29 Read article
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Design and Fabrication of Double-sided Linear Induction Motor
Abstract: Nowadays for application like high-speed ground transportation and specific industrial application including transportation, conveyer system, actuator, material handling, etc. there is need to develop in linear induction motor. These applications require machines that can produce large forces, operate at high speeds, and can be controlled precisely to meet performance requirements. In this project, the working principle of Double-sided linear induction motor (DSLIM) is same as rotational induction motor, but the …
Published in Trends in Machine design · Vol. 7, Issue 3, 2020 · pp. 1–4 Read article
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Thermodynamic Analysis of Cascaded Organic Rankine Cycle for Optimizing Thermal Efficiency
Abstract: AbstractPower cycles converting medium temperature heat (~300°C) into electricity using working fluids like toluene, benzene etc. result in vacuum on condenser side operating near ambient temperatures. To overcome this, two stage cascaded power cycle is proposed with toluene in the top cycle and R- 245fa as a bottom cycle working fluid. In this scheme, condensation heat of toluene is used as a heat source for R- 245fa. A realistic analysis …
Published in Journal of Thermal Engineering and Applications · Vol. 5, Issue 3, 2018 · pp. 30–35 Read article
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Experimental Investigation and Analysis of Dry EDM process for Material Removal Rate and Tool Wear Rate
Abstract: The importance of Electrical Discharge Machining process is increasing, especially for the machining of electric conductive ceramic materials. EDM is particularly ideal due of its thermal operating principle, which allows for almost force-free machining. The effect of air on the machining characteristics of the dry electrical discharge machining (EDM) process is investigated in this study. Researchers regard dry electrical discharge machining to be an environmentally benign machining process, and many …
Published in Journal of Thermal Engineering and Applications · Vol. 9, Issue 1, 2022 · pp. 36–44 Read article
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Parametric Optimization of Tool Wear Rate in Side Flushing form of Die Sink EDM of EN-31 Die Steel
Abstract: Electrical discharge machining (EDM) is one of the most extensively used non-conventional material removal processes for manufacturing geometrically complex or hard material parts that are extremely difficult to machine by conventional machining process. EDM researchers have concentrated on achieving faster and more efficient metal removal rate coupled with a reduction in tool wear and improved surface characteristics. In this paper, the operating performance measures of side flushing type of electrical …
Published in Journal of Materials & Metallurgical Engineering · Vol. 1, Issue 1-3, 2011 · pp. 72–80 Read article
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Experimental Investigations on Aluminium Composites Materials Using Stir Casting Process
Abstract: In physical operations, accoutrements in motorcars and aeronautical machine factors, aluminium and its alloys are extensively used. In this study an effort is made to ameliorate the properties of aluminium essence matrix compound (A356) for manufacturing of machine rudiments taking High Tensile strength, Hardness, Wear resistance and low coefficient of friction, aluminium alloy (A356) reinforced with aluminium oxide, graphite and silicon carbide. In the current work, A356 as base metal …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 302–323 Read article
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Hybrid Machining Processes in Advanced Manufacturing: A Review of Mechanisms and Industrial Applications
Abstract: Hybrid machining processes (HMPs) have gained considerable attention in recent years as an effective approach to address the growing complexity and performance demands of modern manufacturing systems. These processes combine two or more machining techniques—such as mechanical, thermal, chemical, or electrical methods—into a single setup, enabling enhanced productivity, precision, and adaptability, particularly for hard-to-machine materials like ceramics, composites, and superalloys. The integration of distinct energy sources results in synergistic effects …
Published in Journal of Production Research & Management · Vol. 15, Issue 2, 2025 · pp. 19–24 Read article
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Adaptive Drift Correction in Polymer-Based Wearable Biosensors via Data-Driven Signal Modeling
Abstract: Polymer-based wearable biosensors have emerged as a promising technology for continuous health monitoring due to their mechanical flexibility, biocompatibility, and suitability for long-term physiological interfacing. However, prolonged exposure to biofluids, environmental variability, and mechanical deformation introduces signal drift, which significantly degrades measurement accuracy and limits clinical reliability. This paper presents a data-driven methodology for compensating signal drift in polymer-based wearable biosensors using adaptive signal processing and machine learning techniques. The …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 131–139 Read article
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Innovations in Mineral Science and Engineering for Sustainable Resource Development
Abstract: The growing global demand for mineral resources, coupled with increasing environmental and social concerns, has intensified the need for sustainable approaches in mineral science and engineering. Traditional mining and mineral processing practices, while essential for industrial development, are often associated with high energy consumption, resource depletion, and environmental degradation. In response, recent innovations in mineral science and engineering have focused on improving resource efficiency, minimizing environmental impact, and ensuring long-term …
Published in International Journal of Minerals · Vol. 3, Issue 1, 2026 · pp. 31–36 Read article
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Vertical Axis Wind Turbine Modeling and its Analysis Using ANSYS
Abstract: Research on small wind turbine (SWT) is on the upswing in the last five years, as there is a need of energy producing machines to compensate with the fossil fuel based energy. The green technology wishes to create environment friendly energy producing devices based on wind or solar technology. In this paper, an attempt is made to make use of already existing waste wind energy produced by high speed moving …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 8, Issue 1, 2017 · pp. 26–32 Read article
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Performance Estimation of Self-Excited Induction Generator under Different Power Factor Loading
Abstract: The paper presents a model, which has been analyzed using genetic algorithm, in order to estimate the steady state performance of three-phase self-excited induction generator under unbalanced operation. The technique as proposed has been implemented on a 15 KW rating machine to see the effect of variation in load power factor of one phase and two phases simultaneously on phase voltages, phase currents, degree of unbalance, power output, power losses …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 7, Issue 2, 2016 · pp. 12–16 Read article
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An Outline of Receiver Device Or Gesture Device Components
Abstract: In the new era of computer science & language technology, Signal acknowledgement is a varied topic with the aim of taking human motions through mathematical algorithms. Signals can create from any physical motion or state then commonly initiate from the face or hand. Present emphases in the field comprise emotion acknowledgment from the face and hand motion response. Various methods have been completed using cameras and computer vision algorithms to …
Published in Journal of VLSI Design Tools and Technology · Vol. 9, Issue 3, 2019 · pp. 21–25 Read article