Simulated Annealing as a Simultaneous Optimization Tool for Abrasive Water Jet Drilling of Inconel 617

2019 ◽  
Author(s):  
ANISH NAIR ◽  
S. Kumanan ◽  
Rakhil V
Keyword(s):  
Simulated Annealing ◽  
Water Jet ◽  
Simultaneous Optimization ◽  
Abrasive Water Jet ◽  
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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