Analysis and Optimization of Surface Roughness in Grinding Operation of High Carbon High Chromium Steel by Taguchi
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2016 by IJETT Journal|
|Year of Publication : 2016|
|Authors : Ankit Kumar, Ravi Patel, Jitendra Kumar Verma
|DOI : 10.14445/22315381/IJETT-V35P204|
Ankit Kumar, Ravi Patel, Jitendra Kumar Verma"Analysis and Optimization of Surface Roughness in Grinding Operation of High Carbon High Chromium Steel by Taguchi", International Journal of Engineering Trends and Technology (IJETT), V35(1),19-23 May 2016. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Grinding is a material removal process by the application of abrasives. Abrasives are bounded to form a grinding wheel. When the moving abrasive particles come in contact to the work piece they act as cutting tools. Grinding wheel is considered as multi-point cutting tool. These cutting tools remove the material in form of micro chips. Metal removal rate and surface finish are the important output responses in the production with respect to quantity and quality respectively. In this experiment Taguchi method that is a powerful tool to design optimization for quality is used to find the optimum surface roughness in grinding operation. An orthogonal array, a signal-to-noise (S/N) ratio and analysis of variance (ANOVA) are employed to investigate the surface roughness characteristic for grinding operations. The effects of Grain size, Depth of Cut, cross feed, have been evaluated on the surface roughness of work piece. The effect of all input parameters was analyzed on output response. Plots of significant factor and S/N ratio have been used to optimize the control parameters to minimize the surface roughness.
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HCHC steel, DOE, Taguchi, Optimization, ANOVA, Surface Roughness.