Multi-Objective Optimizations for Microinjection Molding Process Parameters of Biodegradable Polymer Stent
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School of Mechanical Engineering, Dalian University of Technology, Dalian 116023, China
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National Center for International Joint Research of Micro-Nano Molding Technology, Zhengzhou University, Zhengzhou 450000, China
*
Author to whom correspondence should be addressed.
Materials 2018, 11(11), 2322; https://doi.org/10.3390/ma11112322
Received: 18 October 2018
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Revised: 11 November 2018
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Accepted: 15 November 2018
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Published: 19 November 2018
(This article belongs to the Special Issue Polymer Processing: Modeling and Correlations Finalized to Tailoring the Plastic Part Morphology and Properties)
Microinjection molding technology for degradable polymer stents has good development potential. However, there is a very complicated relationship between molding quality and process parameters of microinjection, and it is hard to determine the best combination of process parameters to optimize the molding quality of polymer stent. In this study, an adaptive optimization method based on the kriging surrogate model is proposed to reduce the residual stress and warpage of stent during its injection molding. Integrating design of experiment (DOE) methods with the kriging surrogate model can approximate the functional relationship between design goals and design variables, replacing the expensive reanalysis of the stent residual stress and warpage during the optimization process. In this proposed optimization algorithm, expected improvement (EI) is used to balance local and global search. The finite element method (FEM) is used to simulate the micro-injection molding process of polymer stent. As an example, a typical polymer vascular stent ART18Z was studied, where four key process parameters are selected to be the design variables. Numerical results demonstrate that the proposed adaptive optimization method can effectively decrease the residual stress and warpage during the stent injection molding process.
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Keywords:
polymeric stent; injection molding; residual stress; warpage; kriging surrogate model; design optimization
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MDPI and ACS Style
Li, H.; Liu, K.; Zhao, D.; Wang, M.; Li, Q.; Hou, J. Multi-Objective Optimizations for Microinjection Molding Process Parameters of Biodegradable Polymer Stent. Materials 2018, 11, 2322. https://doi.org/10.3390/ma11112322
AMA Style
Li H, Liu K, Zhao D, Wang M, Li Q, Hou J. Multi-Objective Optimizations for Microinjection Molding Process Parameters of Biodegradable Polymer Stent. Materials. 2018; 11(11):2322. https://doi.org/10.3390/ma11112322
Chicago/Turabian StyleLi, Hongxia, Kui Liu, Danyang Zhao, Minjie Wang, Qian Li, and Jianhua Hou. 2018. "Multi-Objective Optimizations for Microinjection Molding Process Parameters of Biodegradable Polymer Stent" Materials 11, no. 11: 2322. https://doi.org/10.3390/ma11112322
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