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Optimisation of WEDM Parameters Using Taguchi Method and Fuzzy Logic Technique for Al-6351
Author(s) -
Ankit Saxena Deepak Bhardwaj Deepak Bhardwaj
Publication year - 2018
Publication title -
international journal of mechanical and production engineering research and development
Language(s) - English
Resource type - Journals
eISSN - 2249-6890
pISSN - 2249-8001
DOI - 10.24247/ijmperdfeb201879
Subject(s) - taguchi methods , fuzzy logic , computer science , artificial intelligence , machine learning
WEDM is a non-conventional machining process, there is no physical contact between the electrode and the work-piece to be cut. As the charged wire makes no physical contact with the work-piece in EDM machining hence no cutting force is involved (S.G. & B.M., 2015) and eradicated all kinds of stress, vibration and chatter problems (Joshi, 2011). The highly accurate and precise machining parts are not possible through traditional machining. Nowadays, WEDM is widely used in production of complex shaped components used in different industries such as aerospace, automobile and other industrial application ( Dongguan Lemo Precision Metal Products Co.,Ltd, 2002)

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