Multiobjective optimization of injection molding parameters based on the GEK-MPDE method
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Zhuocheng Wang
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Jun Li
und
Furong Gao
Abstract
In plastic injection molding (PIM), the process parameters determine the quality and productivity of molded parts. The traditional injection molding process analysis method mainly relies on production experience. It is lack of advanced and rationality and seriously increases production costs. In this paper, a hybrid multiobjective optimization method is proposed to minimize the warpage, volumetric shrinkage and cycle time. The method integrates orthogonal experimental design, numerical simulation, and the metamodel method with multiobjective optimization. The orthogonal experiment chooses seven parameters as the design variables to generate sampling data and determines key factors that affect product quality by the numerical simulation. A gradient-enhanced Kriging (GEK) surrogate model strategy is introduced to construct the response predictors to calculate objective responses in the global design space. Multipopulation differential evolution (MPDE) is conducted to locate the Pareto-optimal solutions, where the response predictors are taken as the fitness functions. This study shows that the proposed GEK-MPDE method can reduce warpage, volumetric shrinkage and cycle time by 5.7 %, 4.7 %, and 18.1 %, respectively. It helps plastic industry to realize collaborative scheduling of multiple tasks between different production lines by providing a low-cost and effective dynamic control method.
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Research ethics: Not applicable.
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Author contributions: All the authors have accepted responsibility for the entire content of this manuscript and approved its submission.
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Competing interests: The authors declare that they have no conflicts of interest regarding this article.
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Research funding: The National Key Research and Development Project (2019YFB1704900) and the National Natural Science Foun-dation of China (62173178).
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Data availability: The raw data can be obtained on request from the corresponding author.
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Artikel in diesem Heft
- Frontmatter
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- Effect of molecular weight distribution on the structure and properties of polypropylene cast film and stretched microporous membrane
- Preparation and Assembly
- Preparation and properties of dynamic crosslinked styrene butadiene rubber
- Antimicrobial hydrocolloid composite sponge with on-demand dissolving property, consisting mainly of zinc oxide nanoparticles, hydroxypropyl chitosan, and polyvinyl alcohol
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Artikel in diesem Heft
- Frontmatter
- Material Properties
- Influence of betalain natural dye from red beet in gum acacia biopolymer: optical and electrical perspective
- Effect of molecular weight distribution on the structure and properties of polypropylene cast film and stretched microporous membrane
- Preparation and Assembly
- Preparation and properties of dynamic crosslinked styrene butadiene rubber
- Antimicrobial hydrocolloid composite sponge with on-demand dissolving property, consisting mainly of zinc oxide nanoparticles, hydroxypropyl chitosan, and polyvinyl alcohol
- Engineering and Processing
- Multiobjective optimization of injection molding parameters based on the GEK-MPDE method
