UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 4 | April 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 3 Issue 3
March-2016
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR1701778


Registration ID:
403382

Page Number

574-585

Share This Article


Jetir RMS

Title

A STUDY ON MULTI-OBJECTIVE OPTIMIZATION OF ELECTROCHEMICAL MACHINING (ECM) ON COPPER WORKPIECE BY NON-DOMINATED SORTING GENETIC ALGORITHM (NSGA)

Abstract

Using the Taguchi approach, this study investigated the influence of various input parameters such as applied voltage, electrolyte concentration, flow velocity, and inter-electrode spacing on machining rate. Using the Non-Dominated Sorting Genetic Algorithm, experiments are carried out on ECM to verify the performance of process parameters on the surface of copper. Minitab17 was used to create a series of tests utilizing the Taguchi L9orthogonal array. The regression equation and analysis of variance (ANOVA) were also done using by Taguchi technique. Machining voltage, flow rate, electrolyte concentration, and material removal rate increase as the machining voltage, flow rate, and electrolyte concentration rise. According to the findings, the interelectrode gap impacts MRR and taper angle parameters. As the interelectrode gap increase, the MRR and taper angle is decreased.

Key Words

MRR, Taper angle, ANOVA, Copper, Taguchi, Non-dominated sorting genetic algorithm

Cite This Article

"A STUDY ON MULTI-OBJECTIVE OPTIMIZATION OF ELECTROCHEMICAL MACHINING (ECM) ON COPPER WORKPIECE BY NON-DOMINATED SORTING GENETIC ALGORITHM (NSGA)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.3, Issue 3, page no.574-585, March-2016, Available :http://www.jetir.org/papers/JETIR1701778.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

"A STUDY ON MULTI-OBJECTIVE OPTIMIZATION OF ELECTROCHEMICAL MACHINING (ECM) ON COPPER WORKPIECE BY NON-DOMINATED SORTING GENETIC ALGORITHM (NSGA)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.3, Issue 3, page no. pp574-585, March-2016, Available at : http://www.jetir.org/papers/JETIR1701778.pdf

Publication Details

Published Paper ID: JETIR1701778
Registration ID: 403382
Published In: Volume 3 | Issue 3 | Year March-2016
DOI (Digital Object Identifier):
Page No: 574-585
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000311

Print This Page

Current Call For Paper

Jetir RMS