Journal Press India®

Optimization of Process Parameters in Turning Operation Using Taguchi Method and Anova: A Review

Vol 1 , Issue 1 , January - March 2013 | Pages: 42-56 | Research Paper  

https://doi.org/10.51976/ijari.111306

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Author Details ( * ) denotes Corresponding author

1. * Ranganath M. S., Department of Mechanical Engineering, Delhi Technological University, New Delhi, Delhi, India (ranganathdce@gmail.com)
2. Vipin Department of Mechanical Engineering, Delhi Technological University, New Delhi, Delhi, India

This paper investigates the parameters affecting the roughness of surfaces produced in the turning process for the various materials studied by researchers. Design of experiments were conducted for the analysis of the influence of the turning parameters such as cutting speed, feed rate and depth of cut on the surface roughness. The results of the machining experiments were used to characterize the main factors affecting surface roughness by the Analysis of Variance (ANOVA) method Taguchi‟s parametric design is the effective tool for robust design it offers a simple and systematic qualitative optimal design to a relatively low cost. The Taguchi method of off-line (Engineering) quality control encompasses all stages of product/process development. However the key element for achieving high quality at low cost is Design of Experiments (DOE). In this paper Taguchi‟s (DOE) approach used by many researchers to analyze the effect of process parameters like cutting speed, feed, and depth of cut on Surface Roughness and to obtain an optimal setting of these parameters that may result in good surface finish, has been discussed.

Keywords

DOE; TAGUCHI Method; ANOVA; Surface Roughness; Turning

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