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Prediction of Process Parameters in EDM usin Genetic Algorithm to obtain desired machining outputs
Electrical Discharge Machining (EDM) is one of the non-traditional manufacturing techniques widely employed in die manufacturing, repairs and production of special industrial parts. There are different process parameters settings in this method...
A taguchi approach for optimization of process parameters in waterjet cleaning process
This paper addresses a Taguchi based method for optimization of process parameters in
waterjet cleaning (WJCl). The experimental data was collected based on Taguchi L18 orthogonal
array. The tests were conducted under varying waterjet...
A New Approach for Predicting andOptimizing Weld Bead Geometry in GMAW
Generally, the quality of a weld joint is directly
influenced by the welding input parameter settings. In this study, the
regression modeling is used in order to establish the relationships
between ...
Optimization of Control Parameters in Submerged Arc Welding Using GA
Submerged Arc Welding (SAW) is one of the most important metal joining processes in metal forming industries. In this technique, optimal selection of process parameters is vital in achieving high quality joints. In this paper, modeling...
A Genetic Algorithm Approach For Prediction of Process Parameters in Submerged Arc Welding
Among different welding techniques, Submerged Arc Welding (SAW) is one of the most widely used processes employed in metal forming industries. In this paper, a Genetic Algorithm approach is proposed to optimally determine SAW process parameters...
Modeling and optimization of MAG welding for gas pipelines using regression analysis and simulated annealing algorithm
method. RA model was then embedded into a simulated annealing (SA) algorithm to determine optimal process parameters for weld bead geometry specification. Proposed method is found quite effective in predicting process parameters for weld bead geometry...