Genetic Algorithm Model for Abrasive Water Jet Machining of Inconel 617
Anish Nair1, Somasundaram Kumanan2
1Anish Nair, Department of Mechanical Engineering, Kalasalingam Academy of Research and Education College, Krishnankoil, Virudhnagar (Tamil Nadu), India.
2Somasundaram, Department of Production Engineering, National Institute of Technology Tiruchirappalli, Trichy (Tamil Nadu), India.
Manuscript received on 25 November 2019 | Revised Manuscript received on 19 December 2019 | Manuscript Published on 30 December 2019 | PP: 934-937 | Volume-9 Issue-1S4 December 2019 | Retrieval Number: A10731291S419/19©BEIESP | DOI: 10.35940/ijeat.A1073.1291S419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This article details the methodology for the development of a multi objective optimization model for the abrasive water jet machining of Inconel 617. Genetic algorithm is the tool used for the optimization process. Abrasive water jet drilling of Inconel 617 is conducted using the Taguchi design of experiments. The various input factors considered are water pressure, abrasive flow volume and standoff distance. The responses selected for this study are overcut, circularity and drill rate. A simultaneous multi optimization model is developed using genetic algorithm. The optimization is done with four stages where in different weightages are added to the input factors and the results have been reported.
Keywords: Abrasive Water Jet, Inconel 617, Genetic Algorithm, Circularity.
Scope of the Article: Machine Design