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 8 Issue 6
June-2021
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:
JETIR2106501


Registration ID:
310222

Page Number

d661-d672

Share This Article


Jetir RMS

Title

MULTI-OBJECTIVE OPTIMIZATION IN CNC MILLING PROCESS OF Al-Cu-Zn ALLOY MATRIX COMPOSITE BY USING TAGUCHI-GREY RELATIONAL ANALYSIS TECHNIQUE

Abstract

In present the increased demand of lightweight materials with high strength to weight ratio in the aerospace and automotive industries has led to the development and use of Al-alloy-based composites. In this paper an attempt has been made to prepare Al6082+Cu+Zn composite material and the optimization of CNC milling process parameters for three different work materials of compositions are Al6082 96%+Cu3%+Zn1%, Al6082 92%+Cu5%+Zn3% and Al6082 89%+Cu7%+Zn4%composite material. .¬¬The characteristics of these alloys have strength as well as weight ratio makes the extensive research on Al-Cu-Zn alloy Metal matrix composite (MMC) is carried out universally because of it is widely used in automotive & aerospace industries. Tribological behavior of aluminum alloy matrix is fabricated by using the stir casting process was investigated. The theory of grey systems is a new optimizing technique for performing the prediction, grey relational analysis and decision making in many areas. In this paper, the use of grey relational analysis for to optimizing the machining process parameters for the work piece is surface roughness and the metal removal rate is introduced. In order to improve the quality and productivity the present study highlights the optimization of CNC milling process parameters like speed, feed rate, depth of cut and different coated HSS tools to provide a good surface finish as well as high material removal rate. Hence a multi objective optimization problem has been obtained which can be solved by the hybrid Taguchi method comprising of grey relational analysis.. Finally, Taguchi method has been used to solve the optimization problem.

Key Words

Optimization, Composite materials, CNC milling, Taguchi.

Cite This Article

"MULTI-OBJECTIVE OPTIMIZATION IN CNC MILLING PROCESS OF Al-Cu-Zn ALLOY MATRIX COMPOSITE BY USING TAGUCHI-GREY RELATIONAL ANALYSIS TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.d661-d672, June-2021, Available :http://www.jetir.org/papers/JETIR2106501.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

"MULTI-OBJECTIVE OPTIMIZATION IN CNC MILLING PROCESS OF Al-Cu-Zn ALLOY MATRIX COMPOSITE BY USING TAGUCHI-GREY RELATIONAL ANALYSIS TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppd661-d672, June-2021, Available at : http://www.jetir.org/papers/JETIR2106501.pdf

Publication Details

Published Paper ID: JETIR2106501
Registration ID: 310222
Published In: Volume 8 | Issue 6 | Year June-2021
DOI (Digital Object Identifier):
Page No: d661-d672
Country: ANANTAPUR, ANDHRA PRASAD, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000519

Print This Page

Current Call For Paper

Jetir RMS