2020
DOI: 10.1007/s40516-020-00122-2
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Empirical Modeling and Optimization of Laser Bending Process Parameters using the Central Composite Design Method for HDD Slider PSA/RSA Adjustment

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Cited by 6 publications
(2 citation statements)
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“…In this way, statistical tools are powerful tools for finding the effect of process parameters and determining the behavior of the sheet during laser forming. Full factorial design of experiments, response surface methodology, fuzzy logic strategy, Particle Swarm Optimization (PSO), Artificial Neural Network (ANN), Taguchi approach, Genetic Algorithm (GA), and other statistical tools are implemented to derive an equation for prediction of bending angle [4,15,28,41,49,60,[62][63][64][65][66][67][68][69][70][71]. The number of experiments is vital in the accuracy of the derived equation.…”
Section: Optimizationmentioning
confidence: 99%
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“…In this way, statistical tools are powerful tools for finding the effect of process parameters and determining the behavior of the sheet during laser forming. Full factorial design of experiments, response surface methodology, fuzzy logic strategy, Particle Swarm Optimization (PSO), Artificial Neural Network (ANN), Taguchi approach, Genetic Algorithm (GA), and other statistical tools are implemented to derive an equation for prediction of bending angle [4,15,28,41,49,60,[62][63][64][65][66][67][68][69][70][71]. The number of experiments is vital in the accuracy of the derived equation.…”
Section: Optimizationmentioning
confidence: 99%
“…Usually, laser-induced heat characteristics (laser power, pulse duration, and scan speed) are the most significant process parameters. However, the laser power cannot be increased above the melting point of the material, which will lead to the burning of material or formation of spongy debris on the surface of the sheet [69]. ANalysis Of VAriance (ANOVA) is a powerful tool for determining the effectiveness of each input parameter.…”
Section: Optimizationmentioning
confidence: 99%