Optimization of Machining Parameters in CNC Turning of Hybrid Metal Matrix Composites using Different Techniques: A Review

Vaibhav Sharma; Ravi Butola

doi:https://doi.org/10.51976/ijari.511724

Submit Manuscript Login / Register Subscribe

Home Page

Editorial Advisory Board

Mission, Aims & Scope

Current Issue

Optimization of Machining Parameters in CNC Turning of Hybrid Metal Matrix Composites using Different Techniques: A Review

Vaibhav Sharma, Ravi Butola

Vol 5 , Issue 1 , January - March 2017 | Pages: 149-156 | Research Paper

https://doi.org/10.51976/ijari.511724

Received: January 25, 2017 | Revised: February 20, 2017 | Accepted: February 28, 2017 | Published Online: March 15, 2017

Author Details ( * ) denotes Corresponding author

1. Vaibhav Sharma, Department of Mechanical Engineering, Delhi Technological University, New Delhi, Delhi, India

2. * Ravi Butola, Department of Mechanical Engineering, Delhi Technological University, New Delhi, Delhi, India (ravibutola33855@gmail.com)

Metal Matrix Composites is a subject of interest from last 6 decades and it is finding wide applications in many fields like Aerospace, Automobile, Spaceship, Piston and Sports Equipment etc. Adding a new element in the Metal Matrix Composite makes it Hybrid. HMMC’s provide better machinability and tribological properties. In CNC turning process, Surface Roughness and MRR are two main parameters. The Objective of the present paper review is to determine the optimum machining parameters in CNC turning of HMMC using different algorithms and techniques. This can be achieved by finding the optimum cutting parameters by Minimizing the Surface Roughness and Maximizing the Metal Removal Rate. For this we have reviewed Taguchi’s Design experiment. The main cutting parameters considered are Cutting Speed, Feed rate and Depth of Cut. Also we have reviewed Response Surface Methodology and Grey-Fuzzy Algorithm.

Keywords

Analysis of Variance (ANOVA); Metal Removal Rate (MRR); Taguchi Design

HM Somashekara, NLakshmana. Optimizing Surface Roughness in Turning Operation using TAGUCHI Technique and ANOVA, International Journal of Engineering Science and Technology, 4(5), 2012

Ilhan, Ali. Development of a Neural Network Based Surface Roughness Prediction System using cutting Parameters and an Accelerometer in Turning, Department of Mechanical Education, Faculty of Technical Education, University of Seljuk, Turkey, IEEE, 2010.

Rakesh K Patel, HR Prajapati. Parametric Analysis of Surface Roughness and Material Removal Rate of Harden Steel on CNC Turning using ANOVA Analysis. International Journal of Engineering Science and Technology, 4(7), 2012.

Aman A, Hari S. Optimization of machining techniques–A retrospective and literature review, Sadhana, 2005.

Daniel Kirby E. A Parameter Design Study in a Turning Operation Using the Taguchi Method, Industrial technology program, Department of Agricultural and Biosystems Engineering, The technology Interface 2006.

Nalbant M , Gokkaya H ,Sur G. Application of Taguchi Method in the Optimization of Cutting parameters for surface roughness in Turning; Materials and Design, 28, 2007, 1379-1385.

Yanda, JA Ghani, MNAM Rodzi, K. Othman, CHC Haron. Optimization of Material Removal Rate, Surface Roughness and Tool Life on Conventional Dry Turning of FCD700, International Journal of mechanical and Materials Engineering , 5(2), 2007, 182-190.

Sasimurugan T, Palanikumar K. Analysis of Machining Characteristics on Surface Roughness of a Hybrid Aluminium Metal Matrix Composite (Al6061-SiC-Al2O3), Journal of Minerals and Materials Characterization and Engineering, 10(13), 2011, 1213-1224.

Krishnamurthy K, Venkatesh J. Assessment of surface roughness and material removal rate on machining of TiB2 reinforced Al-6063: A Taguchi’s Approach, International Journal of Scientific and Research Publications, 3(1), 2013, 1-6.

Vikas B Magdum, Vinayak R Naik. Evaluation and Optimization of Machining Parameter for Turning of EN 8 Steel, International Journal of Engineering Trends and Technology, 4(5), 2013, 1564-1568.

Senthil Kumar, Rajendran. Optimization of CNC Turning Parameters on Aluminium 7015 Hybrid Metal Matrix Composite Using Taguchi Robust Design, International Journal of Engineering and Technology, 6( 4), 2014.

Suresh P, Marimuthu K, Ranganathan S, Arunkumar G. Evaluation of Parameters Influencing Surface Roughnesson Turning of Al-SiC-Gr Hybrid Composites, International Journal of Advanced Engineering Applications, 2(3), 2013.

Deng J L. Introduction to grey system, J Grey System, 1989.

Ranganathan S, Senthilvelan T. Multi-response Optimization of Machining Parameters in hot turning using grey analysis, Int J Adv Manuf Technol, 2011.

P Suresh, K Marimuthu, S Ranganathan, T Rajmohan, Optimization of Machining Parameters in Turning of AL-SiC-Gr Hybrid Metal Matrix Composites using Grey-Fuzzy Algorithm,2014.

A Kumar, H Singh, HK Garg. Optimization of MRR and SR while Turning of Hybrid Aluminium Metal Matrix Composite on CNC lathe using Response Surface Methodology, International Journal on Emerging Technologies, 2016.

Paulo Davim J. Design of Optimization of cutting parameters for turning metal matrix composite based on the orthogonal arrays, J Mater Process Technol, 132, 2003, 340-344.