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To Improve Process Parameters Of Wire Edm At Minar Indusrty Using Anfis
Amit.R.Choudhari,  Prashant Shende
: Electrical discharge machining (EDM) is machining process that is suitable for machining very hard materials that are electrically conductive. In this process the material is removed by series of repeated electrical discharges, produced by electric pulse generators at short intervals in dielectric fluid medium. Thus, the electrical parameters are the main process parameters. The aim of this research is to investigate and predict the influence of the electrical parameters: peak current (I), pulse duration (Ton) and pulse off (Toff) on the surface roughness (SR),Cutting time (CT). Adaptive Neuro-Fuzzy Inference System (ANFIS) as one of the effective soft computing methods. In this research, a set of experimental data was obtained with different levels. The measured values have been used to train the ANFIS system to find minimum error. The results indicate that even with the complexity of the EDM process, the Adaptive Neuro-Fuzzy Inference System (ANFIS) was found to be adequate in predicting response variable with high accuracy.
Keywords- Wire-EDM, Fuzzy inference, Artiﬁcial neural network, ANFIS.
Unique Identification Number - IJEDR1702146Page Number(s) - 877-881Pubished in - Volume 5 | Issue 2 | May 2017DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Amit.R.Choudhari,  Prashant Shende,   "To Improve Process Parameters Of Wire Edm At Minar Indusrty Using Anfis"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 2, pp.877-881, May 2017, Available at :http://www.ijedr.org/papers/IJEDR1702146.pdf