Evaluation and Optimization of Geometric Deviations in Abrasive Water Jet Profile Cutting of Inconel 617

2020 ◽  
Vol 49 (1) ◽  
pp. 20200036
Author(s):  
Anish Nair ◽  
Somasundaram Kumanan
Keyword(s):  
Water Jet ◽  
Abrasive Water Jet ◽  
Geometric Deviations ◽  
Inconel 617

scholarly journals Genetic Algorithm Model for Abrasive Water Jet Machining of Inconel 617

2019 ◽  
Vol 9 (1S4) ◽  
pp. 934-937
Keyword(s):  
Genetic Algorithm ◽  
Optimization Model ◽  
Water Pressure ◽  
Water Jet ◽  
Abrasive Water Jet ◽  
Flow Volume ◽  
Multi Objective Optimization ◽  
Abrasive Water Jet Machining ◽  
Taguchi Design Of Experiments ◽  
Inconel 617

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.

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