Optimizing Machining Parameters for Surface Roughness and Metal Removal Rate While Turning of Aluminium Based Metal matrix Composite

Authors

  • Babarao S Rathod Research Scholar, SIU and Assistant Professor, Department of Mechanical Engineering, Vishwakarma Institute of Information Technology, Pune, Maharashtra, India
  • Ganesh B Narkhede Assistant Professor, Department of Mechanical Engineering, VIIT, Pune, Maharashtra, India
  • Nitin K Khedkar Associate Professor, Department of Mechanical Engineering, Symbiosis Institute of Technology, Pune, Maharashtra,
  • Satish S Chinchanikar Professor, Department of Mechanical Engineering, Vishwakarma Institute of Information Technology (VIIT), Pune, Maharashtra, India

DOI:

https://doi.org/10.37591/joma.v6i3.3411

Keywords:

Surface roughness, Material removal rate, Taguchi method, orthogonal array, ANOVA, MRR

Abstract

Nowadays demand of lightweight materials is increasing tremendously and aluminum based metal matrix composite (MMC) plays important role to fulfill such demands due to characteristics like lightweight and high strength. This work is intended to investigate the effect of the variables like speed, feed and depth of cut, on surface roughness and MRR. This work is carried out on Aluminum based MMC with 10% of boron carbide (B4C). Taguchi’s L27 orthogonal array is used for experimentation. The effect of input parameters is evaluated using signal to noise (S/N) ratio analysis. The Optimum parameters which give minimum surface roughness (Ra) and maximum MRR are obtained. The experimental results showed depth of cut as a prominent factor followed by feed and cutting speed for surface roughness and cutting speed observed as most influencing factor for metal removal rate (MRR).

References

Cite this Article

B.S. Rathod, G.B. Narkhede, N.K. Khedkar, S.S. Chinchanikar. Optimizing Machining Parameters for Surface Roughness and Metal Removal Rate While Turning of Aluminium Based Metal matrix Composite. Journal of Mechatronics and Automation. 2019; 6(3): 42–48p.

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Published

2019-12-06

Issue

Vol. 6 No. 3 (2019)

Section

Articles

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