OPTIMIZATION OF PROCESS PARAMETER FOR TURNING OPERATION USING TAGUCHI METHOD – A REVIEW

Authors

  • Suhas A. Rewatkar Asst. Professor, Department Of Mechanical Engineering, JD College of Engineering & Management Nagpur – 441501, Maharashtra
  • Dinesh I. Dwivedi UG Scholar, Department Of Mechanical Engineering, JD College of Engineering & Management, Nagpur – 441501, Maharashtra
  • Chandan H. Rai UG Scholar, Department Of Mechanical Engineering, JD College of Engineering & Management, Nagpur – 441501, Maharashtra
  • Mohit P. Pandey UG Scholar, Department Of Mechanical Engineering, JD College of Engineering & Management, Nagpur – 441501, Maharashtra

Keywords:

Surface Roughness, Orthogonal Array, ANOVA analysis, S/N Ratio, Taguchi Method

Abstract

The aim of this paper to review the Taguchi method is used to find the best process parameters and
Improved quality results. Taguchi method can reduce the trial and error type experiments by using a matrix design. The
higher production rate can be achieved by optimal selections of process parameters during of a product by implementing
Taguchi method .The orthogonal array, signal-to-noise ratio, and the analysis of variance are employed to study the
performance characteristics on facing operation. In this analysis, three factors namely speed; feed and depth of cut were
considered.This technology has met the current needs of industry owing to its shorter design cycles and improved the
design of quality.

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Published

2018-03-25

How to Cite

Suhas A. Rewatkar, Dinesh I. Dwivedi, Chandan H. Rai, & Mohit P. Pandey. (2018). OPTIMIZATION OF PROCESS PARAMETER FOR TURNING OPERATION USING TAGUCHI METHOD – A REVIEW. International Journal of Advance Engineering and Research Development (IJAERD), 5(3), 217–219. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/2651

Issue

Vol. 5 No. 3 (2018): Volume 5 Issue 3 March 2018

Section

Articles