Multi objective optimization of parameter of turning on 17-4 PH material by grey relational method

Manthan Sheth , Hitesh Raiyani , Hiren Gajera

CNC Turning; ANOVA; Full factorial; Grey relational analysis; surface roughness; Temperature

17-4 PH is the most widely used of all the precipitation-hardening stainless steels. Its valuable combination of properties gives designers opportunities to add reliability to their products while simplifying fabrication and often reducing costs. This valuable alloy is widely used in the aerospace, chemical, petrochemical, food processing, paper and general metalworking industries. This Research study refers to parametric optimization of turning process applying full factorial method in order to improve quality of manufacturing goods, and engineering development of designs for studying variation 17-4 PH is used as work-piece for carrying out experiment to optimize tool wear, temperature and surface roughness. There are three machining parameters i.e. spindle speed, feed rate, depth of cut. Different experiments are done by varying one parameter and keeping other two fixed so that optimized value of each parameter can be obtained. Full Factorial Method is designed with three levels of turning parameters with the help of software Minitab version 16.. It is predicted that Full Factorial Method is a good method for optimization of various machining parameters as it reduces number of experiments.

Published Paper   E-Certificate

"Multi objective optimization of parameter of turning on 17-4 PH material by grey relational method", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 5, page no.219 - 225, May-2016, Available :https://ijsdr.org/papers/IJSDR1605043.pdf

Volume 1 Issue 5, May-2016

Pages : 219 - 225

Paper Reg. ID: IJSDR_160328

Published Paper Id: IJSDR1605043

Downloads: 000347060

Research Area: Engineering

Country: Ahmedabad, Gujarat, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1605043

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1605043

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition