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2021 | OriginalPaper | Chapter

Optimization of Input Parameters for CNC Turning of SS304: A Grey Relational Analysis and Response Surface Methodology Approach

Authors : Anmol Bhatia, Mayank Juneja, Nikhil Juneja

Published in: Advances in Production and Industrial Engineering

Publisher: Springer Singapore

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Abstract

The present study deals with the investigation of the effect of input parameters on material removal rate and surface roughness during CNC turning of SS304. The turning of the specimen was done using TNMG tool inserts. The paper presents multi-response optimization with the Response surface models. The input parameters chosen for the study are speed, feed, and depth of cut. L-27 orthogonal array was used for the experimentation and Taguchi with Grey relational analysis were used for analysis. The significant parameters were obtained using analysis of variance. Optimal and significant levels were obtained and their regression models were made which are further verified by response surface plots. The relational model demonstrates the relationship between the response variables and input variables. The optimized parameters were further confirmed using a confirmatory experiment.

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previous chapter Effect of Power Level on the Processing of Ni-Based Casting Through Microwave Heating
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Metadata
Title
Optimization of Input Parameters for CNC Turning of SS304: A Grey Relational Analysis and Response Surface Methodology Approach
Authors
Anmol Bhatia
Mayank Juneja
Nikhil Juneja
Copyright Year
2021
Publisher
Springer Singapore
Book
Advances in Production and Industrial Engineering

Print ISBN: 978-981-15-5518-3

Electronic ISBN: 978-981-15-5519-0

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-15-5519-0_34

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