Optimizing the Co2 Laser Parameters to Attain the Minimum Wear Rate in Cobalt Based Hardfaced Surfaces

Authors(2) :-A. Umesh Bala, Dr. R. Varahamoorthi

The laser hardfacing is carried out by CO2 laser. AISI 304 stainless steel is used as the base metal and Stellite- 6 cobalt based powder is used as hardfaced material. In this Investigation an attempt has be made to optimizing the process parameters of laser hardfaced surfaces such as Laser Power (P), Travel Speed (T), Defocusing Distance (D) and Powder feed rate (F). The influence of the processing variables on wear rate is discussed. The experiments were conducted using design matrix based on a four factor and five level central composite rotatable design. An empirical relationship was developed to predict the Wear Rate of Cobalt-based (Stellite-6) hardfaced layer using Response Surface Methodology (RSM) technique. The optimized parameters and the influenced parameter were identified. The interaction effects of input process parameters of laser hardfacing were discussed.

Authors and Affiliations

A. Umesh Bala
Research Scholar, Department of Manufacturing Engineering, Annamalai University, Tamil Nadu, India
Dr. R. Varahamoorthi
Associate Professor, Department of Manufacturing Engineering, Annamalai University, Tamil Nadu, India

Optimizing, RSM, Stellite-6, Laser Hardfacing, Wear Rate, AISI 304 SS.

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Publication Details

Published in : Volume 4 | Issue 1 | January-February 2018
Date of Publication : 2018-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 01-09
Manuscript Number : IJSRSET184116
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

A. Umesh Bala, Dr. R. Varahamoorthi, " Optimizing the Co2 Laser Parameters to Attain the Minimum Wear Rate in Cobalt Based Hardfaced Surfaces , International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 1, pp.01-09, January-February-2018.
Journal URL : http://ijsrset.com/IJSRSET184116

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