2018
DOI: 10.1063/1.5066719
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Simulation based optimization of injection molding parameter for meso-scale product of dental component fabrication using response surface methodology (RSM)

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Cited by 13 publications
(6 citation statements)
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“…There were a total of 12 case studies examined, and the data of the extracted velocity components varied based on the configuration of the plenum chamber. In future by doing the statistical analysis, the optimum configuration and parameter will be determined as previous study [11][12][13] have be done.…”
Section: Velocity Distribution Analysismentioning
confidence: 99%
“…There were a total of 12 case studies examined, and the data of the extracted velocity components varied based on the configuration of the plenum chamber. In future by doing the statistical analysis, the optimum configuration and parameter will be determined as previous study [11][12][13] have be done.…”
Section: Velocity Distribution Analysismentioning
confidence: 99%
“…The simulation results of 60 blades with 15° blade inclination by Tawfik et al, [7] were taken for validation. To optimize the current model of current fluidization systems the statistical analysis can be used in this study, the optimum configuration and parameter will be determined as previous study have been done [16][17][18].…”
Section: Velocity Distribution Analysismentioning
confidence: 99%
“…The statistical analysis may be employed in this research to optimise the present model of current fluidization systems. The optimal design and parameter will be identified, as in earlier studies [13][14][15].…”
Section: Velocity Distribution Analysismentioning
confidence: 99%