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Multi-objective optimization in wire-electro-discharge machining of TiC reinforced composite through Neuro-Genetic technique |
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| Authors: | Probir Saha Debashis Tarafdar Surjya K Pal Partha Saha Ashok K Srivastava Karabi Das |
| Affiliation: | 1. Department of Mechanical Engineering, Indian Institute of Technology Patna, Patna 800013, India;2. Department of Mechanical Engineering, Indian Institute of Technology Kharagpur, Kharagpur 721302, India;3. Department of Metallurgical and Materials Engineering, Indian Institute of Technology Kharagpur, Kharagpur 721302, India;4. Department of Metallurgical Engineering, O. P. Jindal Institute of Technology, Raigarh, Chhattisgarh-496001, India |
| Abstract: | This paper proposed a Neuro-Genetic technique to optimize the multi-response of wire electro-discharge machining (WEDM) process. The technique was developed through hybridization of a radial basis function network (RBFN) and non-dominated sorting genetic algorithm (NSGA-II). The machining was done on 5 vol% titanium carbide (TiC) reinforced austenitic manganese steel metal matrix composite (MMC). The proposed Neuro-Genetic technique was found to be potential in finding several optimal input machining conditions which can satisfy wide requirements of a process engineer and help in efficient utilization of WEDM in industry. |
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