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12 articles for “TWR(Tool Wear Rate)”
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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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Optimization of Machining Parameters in Electric Discharge Machining of Al 65032
Abstract: Electric discharge machining has the potential to maintain surface topography and produce less stresses and destruction to the components. In this machining there is no contact between the tool and the work piece. The spark generated due to the electrostatic field generation between tool and the work piece. The objective of this experimentation was to create guidelines for electric discharge machining of Al 65032. Aluminum alloy 65032 is one of …
Published in Journal of Materials & Metallurgical Engineering · Vol. 5, Issue 3, 2015 · pp. 15–22 Read article
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Development of Electrochemical Discharge Machine for Machining Non-conductive Materials
Abstract: Electrochemical discharge machining (ECDM) is the hybrid machining process combination of electrodischarge machining and electrochemical machining process. ECDM is different machining process for micro-drilling and micro-grooving of variety of glasses, ceramics and composites. Electrochemical discharge machining also called as spark assisted chemical engraving (SACE). ECDM process is an effective and micro-machining process for non-conductive materials. It is used in micro-electromechanical system (MEMS) applications. ECDM parameters are material removing rate (MRR), …
Published in Trends in Machine design · Vol. 6, Issue 3, 2019 · pp. 18–22 Read article
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Optimization of Process Parameters for AISI 304 Using Micro-EDM Drilling Process Through Response Surface Method
Abstract: The increasing demand for micro-parts in high-tech products, such as micro-electromechanical systems (MEMS) applications and micro-electronic devices, has driven significant advancements in micromachining technologies. Among the various micromachining processes, the fabrication of accurate microholes and pins is critical for the performance and reliability of miniature components. Micro-hole drilling plays a vital role by enabling the production of deep holes with excellent straightness, roundness, and surface quality. It is widely used …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 1, 2025 · pp. 37–47 Read article
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Influence of EDM Process Parameters on MRR and TWR on Mild Steel and Cast Iron using Taguchi’s Method
Abstract: An alternative to conventional machining methods, Electrical Discharge Machining (EDM) uses electrical current for generating controlled sparks that erode surface of the material through thermal energy. Unlike traditional cutting processes, hard and electrically conductive materials with high precision can be machines very easily, which make it suitable for applications in tool and die manufacturing, aerospace, and automotive industries. Tool Wear Rate (TWR) and Material Removal Rate (MRR) for mild steel …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 614–627 Read article
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Optimization of EDM Machining Characteristics of Reinforced Aluminium Metal Matrix Composites by Taguchi
Abstract: Aluminium alloys metal matrix composites (AMMC) play a vital role in various industries, such as aerospace and automobiles. This study investigates the machining characteristics of AL8079 - based composites reinforced with 15 wt. % TiB₂ and 5 wt. % MoS₂ using Electrical Discharge Machining (EDM). The machining process was optimized using the L9 orthogonal array (OA) Taguchi - based design of experiments, and input parameters were considered at three levels, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 939–951 Read article
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Optimization of Turning Parameters of EN-36 for Material Removal Rate and Tool Life based on Taguchi and RSM Method
Abstract: In this experimental study the effect of cutting parameters on material removal rate (MRR) and tool wear rate (TWR) during turning of EN-36 material on turning machine is determined. In this work, firstly, all the cutting parameters namely, spindle speed (SS), feed rate (FR) and depth of cut (DOC) are designed by using suitable orthogonal array in Taguchi method. The experimental studies were accompanied under the varying spindle speed, feed …
Published in Journal of Mechatronics and Automation · Vol. 3, Issue 1, 2016 · pp. 14–24 Read article
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A Review on Effect of Aluminium & Silicon Powder on Response Variables in Powder Mixed EDM
Abstract: In this paper, for machining different materials, the blending of aluminium and silicon powders into the dielectric liquid of electric discharge machining (EDM) has been studied. Different process parameters like peak current, powder focus, powder grain size, obligation factor, pulse on time, pulse off time, spout flushing and duty cycle has to be specific. The execution of procedure is done regarding response factors like tool wear rate (TWR)/electrode wear rate …
Published in Trends in Electrical Engineering · Vol. 8, Issue 3, 2018 · pp. 1–7 Read article
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Comparative Study of Machining Parameters on Electrical Discharge Machining of Inconel 718 using Copper and Copper-Tungsten Electrode
Abstract: The present scenario in all the manufacturing industries is to make a priority list to cope up the challenges imposed by the superior materials like alloys, ceramics and composite materials which have difficulty in machining. In this study, comparison of experimental results which is found by optimization of machining parameters on material removal and tool wear rate along with two different electrodes material such as copper and copper tungsten for …
Published in Trends in Electrical Engineering · Vol. 8, Issue 2, 2018 · pp. 46–53 Read article
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Optimization of MRR and TWR on Electro Discharge Machining using Taguchi based GRA
Abstract: Electro Discharge Machining (EDM) is one of the most effective nonconventional machining processes in order to obtain better finishing quality result. It is vastly used to machine the most complex as well as intricate shapes so as the productivity increases in a very short time interval. The input parameters are; discharge current, voltage and pulse on time. Taguchi L9 orthogonal array is used to find out the Signal to Noise …
Published in Journal of Industrial Safety Engineering · Vol. 3, Issue 3, 2016 · pp. 26–32 Read article
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Multi-variable Analysis and Optimization of Electrical Discharge Machining Process Using a PCA-ANN Based Approach
Abstract: AbstractThe optimum selection of process parameters has played a crucial role in electrical discharge machining (EDM) for improving the material removal rate, reducing the tool wear rate and radial overcut. In this paper, optimum parameters while machining 202 stainless steel using copper electrode as a tool has been investigated. For optimization of process parameters along with multiple quality characteristics, principal component analysis coupled with artificial neural network method has been …
Published in Trends in Opto-electro & Optical Communication · Vol. 6, Issue 3, 2016 · pp. 39–45 Read article