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Author: search.filters.author.Sudsawat, Supattarachai

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    Warpage reduction through optimized process parameters and annealed process of injection-molded plastic parts
    (2018-10-01)
    Sudsawat, Supattarachai
    ;
    Sriseubsai, Wipoo
    The objective of this paper is to achieve the minimization of warpage for an injection molded part. The techniques that were implemented to minimize the warpage are the design of experiment (DOE), response surface methodology (RSM), firefly algorithm (FA), and annealing treatment. The packing time, cooling time, and melt temperature were shown to be significant parameters and FA was employed to seek these suitable values by experimental tests based on simulation software Moldex3D and injection machine. Analysis of variance (ANOVA) was used to validate experiments. Annealing treatment process was then applied to reduce more warpage phenomenon; the results showed that warpage phenomenon decreased dramatically compared with popular optimized parameter methodology. Moreover, the residual stress which was obtained by using photoelasticity showed that it has a direct relationship with warpage reduction. Therefore, the best solution of warpage mitigation can be solved by popular optimum process parameters and also annealing treatment.
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    Optimized plastic injection molding pr ocess and minimized the warpage and volume shrinkage by response surface methodology with genetic algorithm and firefly algorithm techniques
    (2017-06-01)
    Sudsawat, Supattarachai
    ;
    Sriseubsai, Wipoo
    This goal of this paper is an optimization approach to generate suitable process setting of multi responses of the minimization of warpage and volume shrinkage in the plastic injection molding (PIM). Central composite design (CCD) was employed to handle the orthogonal array for experimental test runs and using the response surface methodology (RSM) to construct response surface equation model. Then the optimization methods of firefly algorithm (FA) that have never been applied to minimize warpage and volume shrinkage in the plastic injection molding (PIM) and genetic algorithm (GA) were employed to optimal parameter conditions with fitness function generated from RSM. Simulation software Moldex 3D and plastic injection machine were used as the experimental tests to show the comparison of the optimal performance of both metaheuristic algorithms. The results showed that the firefly algorithm created the suitable process parameters to meet the minimization of warpage and volume shrinkage better than the popular genetic algorithm for this study. It can be concluded that FA is very proper to approach the good performance in PIM.