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Optimization of Surface Grinding Process Parameters Through RSM

  • Harshita Khangarot
  • Shubham Sharma
  • Umesh Kumar Vates
  • Gyanendra Kumar Singh
  • Vivek Kumar
Conference paper
Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Abstract

Surface grinding is one of the most important conventional machining processes, which is being used in the finishing operations in manufacturing sector. Surface roughness (SR) and material removal rate (MRR) are the two important output factors to be considered during the surface grinding process. Response surface methodology (RSM) is used to investigate the effects of three controllable input variables, namely grit size of grinding wheel, feed rate, and depth of cut on SR & MRR. Horizontal spindle surface grinding machine was used in order to conduct the experiment on die tool steel (AISI D3) work piece. Central composite design (CCD) is used to perform L 20 experimental design. Second-order polynomials equations are developed to predict the SR and MRR within the experimental values and also check the adequacy of these models. Correlation coefficients (R2) were observed 93.06 and 98.19% for MRR and SR, respectively. The response was predicted as 0.0231 g/min (MRR) and 1.4291 microns (SR), respectively, using critical values of significant variables through RSM.

Keywords

Grinding Surface roughness Material removal rate Response surface methodology Central composite design 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Harshita Khangarot
    • 1
  • Shubham Sharma
    • 1
  • Umesh Kumar Vates
    • 1
  • Gyanendra Kumar Singh
    • 1
  • Vivek Kumar
    • 1
  1. 1.Department of Mechanical EngineeringASET, Amity UniversityNoidaIndia

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