INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Multi objective optimization of parameter of turning on 17-4 PH material by grey relational method
Authors Name:
Manthan Sheth
, Hitesh Raiyani , Hiren Gajera
Unique Id:
IJSDR1605043
Published In:
Volume 1 Issue 5, May-2016
Abstract:
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.
Keywords:
CNC Turning; ANOVA; Full factorial; Grey relational analysis; surface roughness; Temperature
Cite Article:
"Multi objective optimization of parameter of turning on 17-4 PH material by grey relational method", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.1, Issue 5, page no.219 - 225, May-2016, Available :http://www.ijsdr.org/papers/IJSDR1605043.pdf
Downloads:
000336256
Publication Details:
Published Paper ID: IJSDR1605043
Registration ID:160328
Published In: Volume 1 Issue 5, May-2016
DOI (Digital Object Identifier):
Page No: 219 - 225
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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