Manufacturing Technology Today

R. Ramanujam ¹, R. Raju ², N. Muthukrishnan ¹

Affiliations
1 Dept. of Mechanical Engg., Sri Venkateswara College of Engg., Pennalur, Sriperumbudur, IN
2 Dept. of Industrial Engineering, Anna University, Chennai, IN

Abstract

This paper presents a new approach for optimizing the machining parameters on turning Metal Matrix Composite (AI-SiC-MMC). Optimization of machining process parameters was done by an analysis called Weighted Principal Component Analysis (WPCA), which is a useful tool for optimizing multi-response problems. Based on Taguchi's L₂₇ orthogonal array, turning experiments were conducted for aluminium silicon carbide particulate reinforced metal matrix composite (A356/10/SiC_p) using polycrystalline diamond (PCD) fine grade insert. The machining process parameters such as cutting speed, feed rate and depth of cut are optimized by multi response considerations namely surface roughness and specific power. The optimum combination of process parameters was studied by extracting more than one principal component and integrating into multi-response performance index (MPI). Finally, the analysis of variance (ANOVA) was used to find out the most influential parameters for multi response criteria. As a result, optimization of the complicated multiple performance characteristics can be greatly simplified through this approach.

Keywords

MMC, Machining, Multi-Response Optimization, Weighted Principal Component Analysis.

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V. Jai Ganesh ¹, R. Raju ¹, S. Natarajan ², S. Bharathvasan ², P. Chandrasekar ²

Affiliations
1 Dept. of Industrial Engg., Anna University, Chennai, IN
2 Dept. of Production Engg., St. Peters Engg. College, Avadi, Chennai, IN

Abstract

The objective of this study is to select the optimal combination of machining parameters in Wire Electrical Discharge Machining (WEDM) process such that machining performance gets increased. Here the machining performances i.e. responses are measured in terms of Metal Removal rate (MRR), Surface Finish (SF) and Kerf (Cutting width). The most critical factors that affect performance measures are identified as Input peak voltage, Pulse-ON time, Pulse-OFF time, Dielectric fluid pressure, Wire feed, Wire speed and Servovoltage. Eighteen experimental trails based on L₁₈ (2¹ × 3⁷) orthogonal array are conducted and the corresponding responses are measured. Classical methods like factor analysis and desirability index are used for solving this multi-objective problem. Finally the results of two methods are compared and the best combination is chosen.

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