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Experimental investigation and optimization of surface grinding of spheroidal graphite cast iron using response surface methodology

Publication Type : Journal Article

Publisher : Journal of Mechanical Engineering Research and Developments

Source : Journal of Mechanical Engineering Research and Developments, Volume 43, Issue 2, p.305-321 (2020)

Url :,No.2(2020)/305-321.pdf

Keywords : Flatness, Grinding wheel grade, Number of steps, Response Surface Methodology., Surface hardness, Surface roughness

Campus : Coimbatore

School : School of Engineering

Department : Mechanical Engineering

Verified : Yes

Year : 2020

Abstract : ABSTRACT: Surface grinding is one of the most commonly used manufacturing operations. It is important to select proper combination of the machining parameters for getting the best results. In this work, influence of grinding process parameters on output parameters during surface grinding of spheroidal graphite cast iron were experimentally investigated. The grinding parameters such as depth of cut, grinding wheel grade and number of passes were considered in this study. Surface roughness, Flatness and surface hardness were measured as output parameters. The levels of grinding parameters were selected and using a design of experiment software the possible 20 combinations of grinding parameters were obtained. Experiments were conducted for these combinations and output parameters were measured. Analysis of Variance was performed for each output parameters and significant parameters were identified based P value. Using Response Surface Methodology and Face centered design the multi objective optimization of grinding process was done. Confirmation of optimized values were done by conducting further experiments.

Cite this Research Publication : Sumesh C.S., Harikrishna, S., Nair, H. S., Mahesh, V., and Ramkumar, R., “Experimental Investigation and Optimization of Surface Grinding of Spheroidal Graphite Cast Iron Using Response Surface Methodology”, Journal of Mechanical Engineering Research and Developments, vol. 43, no. 2, pp. 305-321, 2020.

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