Cargando…
Numerical simulation of closed plastic impeller molding process and its parameter optimization
Aiming at the warping deformation and volume shrinkage of the closed plastic impeller, the relevant compression molding process parameters were optimized.Based on the theoretical equation of the pressing pressure for general sheet plastics, the theoretical derivation of the pressing pressure suitabl...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9569389/ https://www.ncbi.nlm.nih.gov/pubmed/36243822 http://dx.doi.org/10.1038/s41598-022-22260-7 |
_version_ | 1784809844970094592 |
---|---|
author | Fang, Mingyue Zhu, Zhaozhe Zhang, Zhendong |
author_facet | Fang, Mingyue Zhu, Zhaozhe Zhang, Zhendong |
author_sort | Fang, Mingyue |
collection | PubMed |
description | Aiming at the warping deformation and volume shrinkage of the closed plastic impeller, the relevant compression molding process parameters were optimized.Based on the theoretical equation of the pressing pressure for general sheet plastics, the theoretical derivation of the pressing pressure suitable for cylindrical cavities was carried out, and the theoretical derivation of the pressing pressure suitable for closed plastic impeller molding was derived, and the pressing pressure was calculated to be 15 MPa. The warpage deformation and shrinkage rates under different combinations of process parameters were obtained, and the influence of process parameters on warpage deformation and shrinkage rates, as well as the two combinations of process parameters that satisfy the best warpage deformation and shrinkage rates, respectively, were obtained by extreme difference analysis. A GA-BP neural network model was established for the prediction of the process parameters of closed plastic impeller compression molding, and the prediction curves were fitted into a function to obtain a set of process parameter combinations with optimal warpage and shrinkage at the same time by using the multi-objective optimization function of NSGA-II algorithm. |
format | Online Article Text |
id | pubmed-9569389 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-95693892022-10-17 Numerical simulation of closed plastic impeller molding process and its parameter optimization Fang, Mingyue Zhu, Zhaozhe Zhang, Zhendong Sci Rep Article Aiming at the warping deformation and volume shrinkage of the closed plastic impeller, the relevant compression molding process parameters were optimized.Based on the theoretical equation of the pressing pressure for general sheet plastics, the theoretical derivation of the pressing pressure suitable for cylindrical cavities was carried out, and the theoretical derivation of the pressing pressure suitable for closed plastic impeller molding was derived, and the pressing pressure was calculated to be 15 MPa. The warpage deformation and shrinkage rates under different combinations of process parameters were obtained, and the influence of process parameters on warpage deformation and shrinkage rates, as well as the two combinations of process parameters that satisfy the best warpage deformation and shrinkage rates, respectively, were obtained by extreme difference analysis. A GA-BP neural network model was established for the prediction of the process parameters of closed plastic impeller compression molding, and the prediction curves were fitted into a function to obtain a set of process parameter combinations with optimal warpage and shrinkage at the same time by using the multi-objective optimization function of NSGA-II algorithm. Nature Publishing Group UK 2022-10-15 /pmc/articles/PMC9569389/ /pubmed/36243822 http://dx.doi.org/10.1038/s41598-022-22260-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Fang, Mingyue Zhu, Zhaozhe Zhang, Zhendong Numerical simulation of closed plastic impeller molding process and its parameter optimization |
title | Numerical simulation of closed plastic impeller molding process and its parameter optimization |
title_full | Numerical simulation of closed plastic impeller molding process and its parameter optimization |
title_fullStr | Numerical simulation of closed plastic impeller molding process and its parameter optimization |
title_full_unstemmed | Numerical simulation of closed plastic impeller molding process and its parameter optimization |
title_short | Numerical simulation of closed plastic impeller molding process and its parameter optimization |
title_sort | numerical simulation of closed plastic impeller molding process and its parameter optimization |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9569389/ https://www.ncbi.nlm.nih.gov/pubmed/36243822 http://dx.doi.org/10.1038/s41598-022-22260-7 |
work_keys_str_mv | AT fangmingyue numericalsimulationofclosedplasticimpellermoldingprocessanditsparameteroptimization AT zhuzhaozhe numericalsimulationofclosedplasticimpellermoldingprocessanditsparameteroptimization AT zhangzhendong numericalsimulationofclosedplasticimpellermoldingprocessanditsparameteroptimization |