Analysis and Optimization of Cutting Parameters in Dry Turning of AISI 304 Stainless Steel by Using Taguchi and ANOVA Method

Authors

Naveen Kumar
Department of Mechanical Engineering, United College of Engineering and Research Naini, Prayagraj, Uttar Pradesh, India
Mohd. Sameer Siddiqui
Department of Mechanical Engineering, United College of Engineering and Research Naini, Prayagraj, Uttar Pradesh, India
Rishabh Srivastava
Department of Mechanical Engineering, United College of Engineering and Research Naini, Prayagraj, Uttar Pradesh, India
Vivek Kumar
Department of Mechanical Engineering, United College of Engineering and Research Naini, Prayagraj, Uttar Pradesh, India
Jitendra Kumar
Department of Mechanical Engineering, United College of Engineering and Research Naini, Prayagraj, Uttar Pradesh, India

Synopsis

This paper presents an optimization method of the cutting parameters (cutting speed, depth of cut and feed) in rough turning of AISI 304 stainless steel to achieve Maximum Metal Removal Rate (MRR). The DOE was carried out according to Taguchi’s Method. The experiment layout was designed based on Taguchi’s L9 (3*3*3) Orthogonal Array Technique and analysis of S/N ratio was performed to identify the effect of the cutting parameters on the response variables. In this study Taguchi’s method is used to optimize cutting parameters for material removal rate (MRR), main effect plots are generated and analyzed to find out relationship between cutting parameters and variables using ANOVA analysis. ANOVA analysis provides us the contribution percentage of each control factor upon the output i.e. MRR.

RDMPMC-2020
Publication
Abstracts of National Conference on Research and Developments in Material Processing, Modelling and Characterization 2020
PDF
Published
February 6, 2021
Series
AIJR Abstracts
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