Statistical Evaluation of the Effect of Process Parameters on the Depth of Penetration of Tungsten Inert Gas Arc Cladding Weld in Mild Steel

Ezeliora Daniel Chukwuemeka *

Department of Industrial Production Engineering, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria.

E. Mbanusi Cyril

Department of Building, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria.

P.S. Aguh

Department of Industrial Production Engineering, Nnamdi Azikiwe University, Awka, Anambra State, Nigeria.

*Author to whom correspondence should be addressed.


Abstract

The study expressed the statistical investigation in depth of penetration on mild steel cladding weld geometry. The use of analytical tools and analysis of variance (ANOVA) were use to investigate the statistical influence of the mild steel cladding weld process parameters that gives rise to the geometry of the mild steel material. The results portray and express the statistical effects, variations and models of the process parameters and the response parameter in the system the parameters used are significant, while the model developed has a significance value of 0.48%. Finally, the need for this research has shown the essence of statistical investigation and mathematical modeling for depth of penetration on mild steel cladding weld metal geometry which give solutions to the system and more appropriate suggestions that will influence the decision making on mild steel metal utilization.

Keywords: Analysis of variance, welding, statistics, mild steel, depth of penetration, cladding.


How to Cite

Chukwuemeka, Ezeliora Daniel, E. Mbanusi Cyril, and P.S. Aguh. 2019. “Statistical Evaluation of the Effect of Process Parameters on the Depth of Penetration of Tungsten Inert Gas Arc Cladding Weld in Mild Steel”. Asian Journal of Advanced Research and Reports 7 (1):1-13. https://doi.org/10.9734/ajarr/2019/v7i130166.

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