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Trends in Mechanical Engineering & Technology

Integration of Taguchi and MCDM Techniques for the Optimization of Experimental Parameters in Electrical Discharge Machining: A Research

  1. Jatin Mehra
  2. Sandeep Kumar

Abstract

Electric discharge machining (EDM) represents a non-conventional approach to machining, particularly beneficial for processing hard-to-machine materials or components with high length-to-diameter ratios or intricate shapes. Widely employed across various industries such as automotive, chemical, aerospace, biomedical, and tool and die, EDM offers a unique method for achieving precise shapes and dimensions. Unlike traditional machining methods where form is attained through the interaction of the tool and workpiece, EDM operates without direct contact between these components. Alternatively, it uses carefully calibrated electrical discharges to remove impurities surrounding the object. Consequently, optimizing input process parameters is critical to enhancing machining efficiency and accuracy. In this work, the technique of Taguchi is used to investigate and optimize the parameters for electrostatic machining. By systematically varying and analyzing process parameters, this approach aims to identify the most effective combination for maximizing machining performance. Through meticulous experimentation and analysis, this research endeavors to contribute to the advancement and refinement of electric discharge machining processes. A die-sinking EDM-FORM P 350 sinker spark subsidence machine is used for the testing. Graphite is used as electrode tool material with mild steel as work-piece material and Kerosene as dielectric fluid in the present experimental work. throughout the optimization handle, the following four crucial process parameters are alternately modified: the input voltage (V), pulse-on time (Ton), pulse-off time (Toff), and discharge current (I). To systematically explore and optimize these parameters, the Taguchi L9 orthogonal array is employed in the experimental design. Utilizing the L9 orthogonal array facilitates the investigation of main factors and their interactions with the response variables, specifically material removal rate and surface roughness. By analyzing the effects of individual factors as well as their interplay, this approach aims to uncover the optimal combination of process parameters for maximizing material removal rate while minimizing surface roughness.

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