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Optimization of Cylindrical Grinding Machine Parameters for Minimum Surface Roughness and Maximum MRR

Journal: GRD Journal for Engineering (Vol.2, No. 5)

Publication Date:

Authors : ; ; ; ;

Page : 62-68

Keywords : Cylindrical Grinding; Grinding; Taguchi Method; ANOVA; Modeling; Optimization;

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Cylindrical grinding is very important process to improve quality of the component and to get precision dimensions with smooth surface finish. In the manufacturing sector, producing smooth surface finish plays an important role. To fulfill this smooth finish, surface grinding process is mostly used in which the parameters to be considered are surface quality and metal removal rate. Several factors which include depth of cut, wheel grade, wheel speed, material properties and table speed affects the machining process economics. This paper mainly focuses on developing the empirical models using response surface methodology for surface roughness and metal removal rate by considering control factors as wheel speed, table speed and depth of cut. The main objective of using Response surface methodology (RSM) on surface grinding operation of EN19 steel is to find optimum machining parameters which leads to minimize surface roughness and maximum metal removal rate. For conducting the experiment EN19 material was chosen due to various applications in automobile and mechanical components. While experimenting on cylindrical grinding machine having silicon carbide wheel L9 Orthogonal array with input variables for analysis and for optimization Taguchi method was implemented. The optimization model developed could be beneficial to many different manufacturers to get right combination of matching parameters to achieve minimum surface roughness. Citation: Rupesh Karande, NBNSSOE; Kshitij Patil ,NBNSSOE; Sainand Jadhav ,NBNSSOE; Ravikant Nanwatkar ,NBNSSOE. "Optimization of Cylindrical Grinding Machine Parameters for Minimum Surface Roughness and Maximum MRR." Global Research and Development Journal For Engineering 25 2017: 62 - 68.

Last modified: 2017-04-09 19:19:02