Optimization of Machining Characteristics in Turning Operation of LM2 -Al2O3 Metal Matrix Composite

Author:

Madki Santosh Jaykumar1ORCID,V. Kohir Vishaldatt2ORCID

Affiliation:

1. 1K.B.N. College of Engineering, Kalaburgi, Karnataka, India.

2. 2Mechanical Engineering, K.B.N. College of Engineering, Kalaburgi, Karnataka, India.

Abstract

The optimization of machining parameters in the turning operation of metal matrix composite (MMC) is a crucial aspect in the manufacturing process. In this research work, Taguchi Method of optimization is used to optimize the cutting parameters, which include cutting speed, feed rate, and depth of cut. The experiments are carried out according to Taguchi L9 algorithm. The optimization is based on minimizing the surface roughness. The results show that the cutting speed has the most significant effect on the responses, followed by feed rate and depth of cut. It is observed a good agreement between the predicted and actual results, indicating the effectiveness of the Taguchi method in optimizing the cutting parameters.

Publisher

Oriental Scientific Publishing Company

Subject

Pharmacology (medical),Complementary and alternative medicine,Pharmaceutical Science

Reference15 articles.

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2. 2. Ashvin J. Makadia , J.I. Nanavati , Optimisation of machining parameters for turning operations based on response surface methodology, Measurement, Volume 46, Issue 4, pp 1521-1529, (2013)

3. 3. Ranganath M S , Vipin , Harshit, Optimization of Process Parameters in Turning Operation Using Response Surface Methodology: A Review, International Journal of Emerging Technology and Advanced Engineering, Volume 4, Issue 10, pp 351-360, (2014)

4. 4. Shankar S , Balaji A and A. Pramanik, Optimization of turning parameters for AlSi10Mg/SCBA/SiC hybrid metal matrix composite using response surface methodology, Materials Research Express, IOP, (2019)

5. 5. R. Arokiadass, Optimization in Machining of Al/SiCp Composites by a Uncoated Solid Carbide Tool using Response Surface Methodology (RSM), International Journal of Control Theory and Applications, Volume 10 • Number 30, pp 437-445 (2017)

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