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Taguchi, Fuzzy Logic and Grey Relational Analysis Based Optimization of ECSM Process during Micro Machining of E-Glass-Fibre-Epoxy Composite
Abstract
In this chapter, the use of Taguchi method, Fuzzy logic, and Grey relational analysis based on an L16 (45) orthogonal array for optimizing the multi response process characteristics during electrochemical spark machining (ECSM) of electrically non-conductive e-glass-fibre-epoxy composite (e-glass-FEC) is reported. An electrochemical spark machining setup has been designed and fabricated for micro machining of e-glass-FEC and experimental results are utilized for optimizing the process parameter (DC supply voltage, Electrolyte concentration, and Gap between tool and auxiliary electrode) with considerations of the multiple responses such as material removal rate and over cut on hole radius effectively. From the analysis, it is found that at higher setting value of DC supply voltage (e.g. 70 volts) and at moderate setting value of electrolytic concentration (e.g. 80 g/l) and 180 mm gap between tool and auxiliary electrode the material removal rate (MRR) is maximum. Utilizing the test results, mathematical models for MRR and overcut on hole radius are developed to predict the setting value of ECSM parameters in advance.
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