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Optimization of Process Parameters for the Machining of High Carbon Martensitic Stainless Steel using Wire EDM


Affiliations
1 SVU College of Engineering, Tirupati, Andhra Pradesh, India
2 Sree Vidyanikethan Engineering College, Tirupati, Andhra Pradesh, India
     

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Wire Electro Discharge Machining (WEDM) process parameters need to be optimized when new material is invented or even if some process variables changed Optimization of the WEDM process for machining of AISI 440C stainless steel using brass wire electrode was studied in this paper. In this work, based on Taguchi's (DOE), an orthogonal array L-12 is developed and experiments are conducted with eleven factors each at two levels. The experimental data is recorded for obtaining the response values of MRR and Kerf width. Grey relational analysis is done along with Taguchi to find the optimum set of input process parameters. The prediction of output values can be done using the Fuzzy logic approach. At last, a confirmation test is done to evaluate the exactness of the values between experimental and predicted, found that the prediction accuracy for MRR is about 94.92% and for Kerf Width is about 82.5%.

Keywords

Wire Electrical Discharge Machining (WEDM), Taguchi Technique, Design of Experiments (DOE), Grey Relational Analysis (GRA), Fuzzy Logic, Material Removal Rate (MRR).
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  • Optimization of Process Parameters for the Machining of High Carbon Martensitic Stainless Steel using Wire EDM

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Authors

P. Hema
SVU College of Engineering, Tirupati, Andhra Pradesh, India
P. Susmitha
SVU College of Engineering, Tirupati, Andhra Pradesh, India
A. K. Damodharam
Sree Vidyanikethan Engineering College, Tirupati, Andhra Pradesh, India

Abstract


Wire Electro Discharge Machining (WEDM) process parameters need to be optimized when new material is invented or even if some process variables changed Optimization of the WEDM process for machining of AISI 440C stainless steel using brass wire electrode was studied in this paper. In this work, based on Taguchi's (DOE), an orthogonal array L-12 is developed and experiments are conducted with eleven factors each at two levels. The experimental data is recorded for obtaining the response values of MRR and Kerf width. Grey relational analysis is done along with Taguchi to find the optimum set of input process parameters. The prediction of output values can be done using the Fuzzy logic approach. At last, a confirmation test is done to evaluate the exactness of the values between experimental and predicted, found that the prediction accuracy for MRR is about 94.92% and for Kerf Width is about 82.5%.

Keywords


Wire Electrical Discharge Machining (WEDM), Taguchi Technique, Design of Experiments (DOE), Grey Relational Analysis (GRA), Fuzzy Logic, Material Removal Rate (MRR).

References