Study on Influence of Process Parameters on Surface Roughness in CNC Milling Operation

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Authors

  • Shailesh
     Department of Mechanical Engineering, M S Ramaiah Institute of Technology, Bangalore – 560054, Karnataka ,IN
  • K. Lokesha
     Department of Mechanical Engineering, M S Ramaiah Institute of Technology, Bangalore – 560054, Karnataka ,IN
  • Bijayalakshmi Das
     Department of Mechanical Engineering, M S Ramaiah Institute of Technology, Bangalore – 560054, Karnataka ,IN
  • N. Harish
     Department of Mechanical Engineering, M S Ramaiah Institute of Technology, Bangalore – 560054, Karnataka ,IN

DOI:

https://doi.org/10.18311/jmmf/2023/43181

Keywords:

Analysis of Variance, Process Parameter, Surface Roughness, Taguchi, Wet Cutting Condition.

Abstract

Machine tools are a vital element in engineering manufacturing environment. It assists in the supply of products and components that meet the highest possible standards. An experimental approach was administered to evaluate the factor affecting surface finish in milling operation performed on ferrous material under wet cutting condition. Laboratory inspection was initiated to assess the effect of process parameters on surface finish. Cost effective experimental trials combining speed, feed and depth of cut were formulated using Taguchi L9 orthogonal array. The significant factor influencing surface topography was analyzed using analysis of variance (ANOVA) tool. The examination divulges that the surface roughness was found to be maximum at the lower levels of process meters in the milling process on mild steel material. The ANOVA depicts the process parameter which is greatly contributing to the surface texture.

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Published

2024-05-24

How to Cite

Shailesh, Lokesha, K., Das, B., & Harish, N. (2024). Study on Influence of Process Parameters on Surface Roughness in CNC Milling Operation. Journal of Mines, Metals and Fuels, 71(12A), 447–450. https://doi.org/10.18311/jmmf/2023/43181

Issue

Volume 71, Issue 12A , 2023

Section

Articles

License

Creative Commons License

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

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