UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1907964


Registration ID:
220491

Page Number

540-544

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Title

Optimized Surface roughness for WEDM using Genetic Algithm

Abstract

Surface Roughness (Ra) throughout the procedure has been taken into consideration as productivity estimate with the aim to minimize it. With an goal of minimizing floor roughness is been taken as maximum vital output parameter. This can be glad by way of choosing an superior process environment (most beneficial parameter setting). Objective feature is obtained with the aid of Neural Network tool of MATLAB. Then goal characteristic is optimized using Genetic Algorithm optimization tool of MATLAB. The model is shown to be effective Surface Roughness advanced the usage of optimized machining parameters.

Key Words

EDM, WEDM, Surface Roughness, Work piece.

Cite This Article

"Optimized Surface roughness for WEDM using Genetic Algithm ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.540-544, June 2019, Available :http://www.jetir.org/papers/JETIR1907964.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Optimized Surface roughness for WEDM using Genetic Algithm ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp540-544, June 2019, Available at : http://www.jetir.org/papers/JETIR1907964.pdf

Publication Details

Published Paper ID: JETIR1907964
Registration ID: 220491
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 540-544
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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