Optimization of Coating Parameters of Flame Spraying using Taguchi based Grey Relational Analysis

Ajay Malik*, Hari Singh**, Satya Prakash***
* Assistant Professor, University Institute of Engineering and Technology, Kurukshetra University, Haryana, India.
** Professor, National Institute of Technology, Kurukshetra, Haryana, India.
*** Professor, Indian Institute of Technology, Roorkee, Uttarakhand, India.
Periodicity:August - October'2015
DOI : https://doi.org/10.26634/jme.5.4.3618

Abstract

Flame spraying has emerged as the most promising technique among all thermal spraying techniques for depositing a higher quality abradable coating. The present work deals with a statistical design of experimental study of flame spraying Metco 301NS powder. The choice of the optimum coating parameters plays an important role in the quality of the coating, the coating cost and increasing the lifetime of the coated parts. Coating experiments were performed with a Taguchi (L8) design to optimize the flame spray process parameters. In this study, the influence of the different coating variables like oxygen, acetylene, rpm, coating angle and spray distance on various performance features such as hardness, roughness, porosity and thickness were evaluated. The attributes of the coating were correlated with the change in the parameters and their relative importance, contribution ratios and total variance were calculated using the Taguchi method. Since the thermal spray coating is a multiple feature technique, a multi objective optimization technique, Grey Relational Analysis (GRA), was used to optimize the process parameters. The investigation revealed the optimal combination of process parameters for oxygen (40 L/min), dissolved acetylene (50 L/min), rpm (4), spray angle (60 degree) and spray distance (7 inch). The results were verified through confirmation tests.

Keywords

Flame Spray, Taguchi, Grey Relational Analysis, Coating.

How to Cite this Article?

Malik, A., Singh, H., and Prakash, S. (2015). Optimization of Coating Parameters of Flame Spraying using Taguchi based Grey Relational Analysis. i-manager’s Journal on Mechanical Engineering, 5(4), 27-34. https://doi.org/10.26634/jme.5.4.3618

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