A Review on Multi Objective Optimization of Drilling Parameters Using Taguchi Methods

Abstract

In this paper, a comprehensive and in-depth review on optimization of drilling parameters using Taguchi methods is carried out. The quality and productivity aspects are equally important in the analysis of drilling parameters. Taguchi methods are widely used for design of experiments and analysis of experimental data for optimization of processing conditions. The research contributions are classified into methodology for investigation and analysis, input processing conditions and response variables. It was observed that the optimal speed for a machine tool is influenced by several processing parameters such as hardness, composition, stiffness of work/tool and tool life. Furthermore, it is evident that surfaces finish necessary and power available significantly controls the feed. The roughness of drilled surfaces depends severely on the input conditions, material of the workpiece or tool and condition of the machine tool. The grey relational analysis is the most accurate and effective tool for analysis of data for a CNC drilling process. This study has indicated that Taguchi method followed by grey relational analysis is the most efficient combination for the following: design of experiments, analysis of experimental data and for the subsequent multi-objective optimization in drilling process.

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