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Original Articles

Monitoring and Fuzzy Control Approach for Efficient Electrical Discharge Machining Process

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Pages 281-286 | Received 29 Jun 2013, Accepted 09 Oct 2013, Published online: 04 Mar 2014

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Ravinder Kumar & Sahendra Pal Sharma. (2022) Electric discharge drilling of blind holes in titanium alloy Ti6Al4V. World Journal of Engineering.
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Shoufa Liu, Muthuramalingam Thangaraj, Khaja Moiduddin & Abdulrahman M. Al-Ahmari. (2022) Influence of Adaptive Gap Control Mechanism and Tool Electrodes on Machining Titanium (Ti-6Al-4V) Alloy in EDM Process. Materials 15:2, pages 513.
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Min Li, Lanrong Cai & Junling Zhao. (2020) Research on discharge characteristics of working mediums of electric discharge machining. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 235:1-2, pages 34-40.
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Pierpaolo Carlone, Dragan Aleksendri & Luca Sorrentino. 2021. Encyclopedia of Materials: Composites. Encyclopedia of Materials: Composites 2 13 .
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Ricardo Martínez-Alvarado, Everardo Efrén Granda-Gutiérrez, Alejandra Hernández-Rodríguez & Rolando Javier Praga-Alejo. (2020) Pulse Classification for an Electrochemical Discharge Machining Process Based on Fuzzy Logic Approach. International Journal of Precision Engineering and Manufacturing 21:10, pages 1807-1820.
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T. Muthuramalingam, D. Saravanakumar, L. Ganesh Babu, Nguyen Huu Phan & Vu Ngoc Pi. (2019) Experimental Investigation of White Layer Thickness on EDM Processed Silicon Steel Using ANFIS Approach. Silicon 12:8, pages 1905-1911.
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Eswara Krishna Mussada & P.K. Patowari. (2020) Development of intelligent system for predicting MTR in EDC process using powder metallurgical tools. Grey Systems: Theory and Application 10:3, pages 321-337.
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Sheng Du, Min Wu, Luefeng Chen, Kailong Zhou, Jie Hu, Weihua Cao & Witold Pedrycz. (2020) A Fuzzy Control Strategy of Burn-Through Point Based on the Feature Extraction of Time-Series Trend for Iron Ore Sintering Process. IEEE Transactions on Industrial Informatics 16:4, pages 2357-2368.
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R. Mathiyazhagan, S. Sampathkumar & T. Muthuramalingam. (2019) Prediction Modeling of Surface Roughness Using Capacitive Sensing Technique in Machining Process. IEEE Sensors Journal 19:21, pages 9997-10002.
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T. Muthuramalingam, S. Vasanth, L. Ganesh Babu, D. Saravanakumar & P. Karthikeyan. (2019) Flushing Pressure Automation for Efficient Machining in EDM Process. Flushing Pressure Automation for Efficient Machining in EDM Process.
T. Muthuramalingam. (2019) Effect of diluted dielectric medium on spark energy in green EDM process using TGRA approach. Journal of Cleaner Production 238, pages 117894.
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T. Geethapriyan, T. Muthuramalingam & K. Kalaichelvan. (2019) Influence of Process Parameters on Machinability of Inconel 718 by Electrochemical Micromachining Process using TOPSIS Technique. Arabian Journal for Science and Engineering 44:9, pages 7945-7955.
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T. Muthuramalingam. (2019) Measuring the influence of discharge energy on white layer thickness in electrical discharge machining process. Measurement 131, pages 694-700.
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T. Muthuramalingam. 2019. Micro and Nano Machining of Engineering Materials. Micro and Nano Machining of Engineering Materials 3 8 .
T Muthuramalingam, A Ramamurthy, K Sridharan & S Ashwin. (2018) Analysis of surface performance measures on WEDM processed titanium alloy with coated electrodes. Materials Research Express 5:12, pages 126503.
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T. Muthuramalingam, B. Mohan & S. Vignesh. (2018) Performance Analysis of Pulse Generators on Residual Stress of Machined Silicon Steel Using the EDM Process. Silicon 10:5, pages 1785-1792.
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Pedro Daniel Urbina Coronado, Joel Martínez García, Edgar Vargas Tinoco & Pedro Orta-Castañon. (2018) Online monitoring of a micro-EDM machine: Machining diagnosis on the cloud based on discharge currents and voltages. Manufacturing Letters 15, pages 115-118.
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Ravinder Kumar & Inderdeep Singh. (2015) Electric discharge sawing of hybrid metal matrix composites. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 231:10, pages 1775-1782.
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Hussien Mahmoud Al-Wedyan & Mohammed T. Hayajneh. (2017) Prediction and controlling of roundness during the BTA deep hole drilling process: Experimental investigations and fuzzy modeling. Materials Testing 59:3, pages 284-289.
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Cheng-bo Guo, Dong-bo Wei & Shi-chun Di. (2016) Improving energy utilization efficiency of electrical discharge milling in titanium alloys machining. Journal of Central South University 23:10, pages 2550-2557.
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Min Zhang, Qinhe Zhang, Liya Dou, Guang Zhu & Chunjie Dong. (2016) An independent discharge status detection method and its application in EAM milling. The International Journal of Advanced Manufacturing Technology 87:1-4, pages 909-918.
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Azizah Mohamad, Azlan Mohd Zain & Noordin bin Mohd Yusof. (2015) Overview of Fuzzy Logic Technique for Modeling Machining Process. Applied Mechanics and Materials 815, pages 264-267.
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S. Vignesh, B. Mohan, T. Muthuramalingam & S. Karthikeyan. (2015) Evaluation of Recast Layer Thickness of Electrical Discharge Machined AISI 202 Stainless Steel with Various Pulse Generators. Applied Mechanics and Materials 766-767, pages 518-522.
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T. Muthuramalingam & B. Mohan. (2014) Application of Taguchi-grey multi responses optimization on process parameters in electro erosion. Measurement 58, pages 495-502.
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