Analysis on the Effects of Cutting Parameters on Surface Roughness of Workpiece in Surface Grinding

Authors

  • Nguyen Hong Son  Center for Mechanical Engineering, Hanoi University of Industry, Bac Tu Liem District, Hanoi, Vietnam
  • Do Duc Trung  Faculty of Mechanical Engineering, Hanoi University of Industry, Bac Tu Liem District, Hanoi, Vietnam

DOI:

https://doi.org//10.32628/IJSRSET1196557

Keywords:

Surface roughness, surface grinding, SUJ2 steel, CBN grinding wheel, ANOVA analysis.

Abstract

In this paper, the analysis on the effects of cutting parameters on surface roughness of workpieces in surface grinding has been conducted. Experimental SUJ2 steel grinding process is made with CBN grinding wheel. The tests is made on an APSG-820/2A surface grinder. The Box- Behnken method has been used to design experiments. Minitab 16 statistical software has been used to analyze ANOVA test results. The results show that the feed-rate has the greatest effect on surface roughness, followed by the least effects of velocity of workpiece, depth of cut on surface roughness. The interaction between velocity of workpiece and depth of cut has the greatest effect on surface roughness, followed by the effects of the interaction between the feed-rate and depth of cut, the interaction between velocity of workpiece and the feed-rate has insignificant effects on surface roughness. This study also shows the value range of some cutting parameters for processing surface of workpiece with small roughness. Finally, a regression model of surface roughness has been established in this study.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2019-10-30

Issue

Volume 6, Issue 5, September-October-2019

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Nguyen Hong Son, Do Duc Trung, " Analysis on the Effects of Cutting Parameters on Surface Roughness of Workpiece in Surface Grinding, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 6, Issue 5, pp.277-282, September-October-2019. Available at doi : https://doi.org/10.32628/IJSRSET1196557