2019
DOI: 10.3390/ma12030454
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Modeling and Optimization of Fractal Dimension in Wire Electrical Discharge Machining of EN 31 Steel Using the ANN-GA Approach

Abstract: To achieve enhanced surface characteristics in wire electrical discharge machining (WEDM), the present work reports the use of an artificial neural network (ANN) combined with a genetic algorithm (GA) for the correlation and optimization of WEDM process parameters. The parameters considered are the discharge current, voltage, pulse-on time, and pulse-off time, while the response is fractal dimension. The usefulness of fractal dimension to characterize a machined surface lies in the fact that it is independent … Show more

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Cited by 28 publications
(16 citation statements)
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“…Gupta et al [11] employed one statistical method (i.e., Response Surface Methodology (RSM)) and one evolutionary method (i.e., Particle Swarm Optimization (PSO)) to optimize the machining parameters. Mukhopadhyay et al [12] employed an artificial neural network and genetic algorithm for the modeling and optimization of the wire electrical discharge machining process. In addition, they have implemented the hybrid modeling to extract better machining optimization results.…”
Section: Introductionmentioning
confidence: 99%
“…Gupta et al [11] employed one statistical method (i.e., Response Surface Methodology (RSM)) and one evolutionary method (i.e., Particle Swarm Optimization (PSO)) to optimize the machining parameters. Mukhopadhyay et al [12] employed an artificial neural network and genetic algorithm for the modeling and optimization of the wire electrical discharge machining process. In addition, they have implemented the hybrid modeling to extract better machining optimization results.…”
Section: Introductionmentioning
confidence: 99%
“…Response surface models are considered reliable when the response conducted under recommended optimum conditions contains % error from the model-predicted value lower than 5% (Mia and Dhar 2016 ; Mukhopadhyay et al. 2019 ). For % inhibition of DPPH, the low % error between actual and predicted response of sericin hydrolysates ( Table 8 ) corresponded with the predicted R 2 value obtained from multiple linear regression analysis ( Table 6 ).…”
Section: Discussionmentioning
confidence: 99%
“…WEDM is an advanced machining process capable of producing complex shape geometries [ 19 ]. During the process, serial sparks are formed between tool and component which erodes the little amount of material through melting and vaporization [ 20 , 21 ]. Dielectric fluid is used in the machining zone which helps to remove the eroded material particles [ 22 ].…”
Section: Introductionmentioning
confidence: 99%