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用于制造薄壁复合连接器端子的注塑成型参数的多目标优化

Multi-Objective Optimization of Injection Molding Parameters for Manufacturing Thin-Walled Composite Connector Terminals.

作者信息

Tan Mingbo, Peng Size, Huo Yingfei, Li Maojun

机构信息

State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle, Hunan University, Changsha 410082, China.

Hunan Xingtu Aerospace and Spacecraft Manufacturing Co., Ltd., Zhuzhou 412000, China.

出版信息

Materials (Basel). 2024 Aug 8;17(16):3949. doi: 10.3390/ma17163949.

DOI:10.3390/ma17163949
PMID:39203126
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11355605/
Abstract

The rapid development of new energy vehicles demands significant improvements in connector structures and performance standards. Wire harness connectors, crucial for linking various electrical components, face challenges due to their small size and thin-walled structure, which can lead to dimensional shrinkage and warping during injection molding. To address these issues, this study optimizes the injection molding process by fine-tuning parameters such as melt temperature, mold temperature, injection time, holding pressure/time, and cooling time. By integrating the Taguchi method with grey relational analysis, the study enhances the molding process for thin-walled composite connectors. This combined approach provides a comprehensive framework for optimizing multiple quality objectives and improving the overall performance of injection-molded composite components.

摘要

新能源汽车的快速发展要求连接器结构和性能标准有显著提升。线束连接器对于连接各种电气部件至关重要,但其尺寸小且壁薄的结构使其在注塑成型过程中面临挑战,可能导致尺寸收缩和翘曲。为解决这些问题,本研究通过微调诸如熔体温度、模具温度、注射时间、保压/保压时间和冷却时间等参数来优化注塑成型工艺。通过将田口方法与灰色关联分析相结合,该研究改进了薄壁复合连接器的成型工艺。这种组合方法为优化多个质量目标和提高注塑复合部件的整体性能提供了一个全面的框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8abc/11355605/3ff73004f376/materials-17-03949-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8abc/11355605/447196335947/materials-17-03949-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8abc/11355605/78787d4a8668/materials-17-03949-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8abc/11355605/ce9cb6e41a4d/materials-17-03949-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8abc/11355605/84460317877a/materials-17-03949-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8abc/11355605/63bb9194aae1/materials-17-03949-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8abc/11355605/77616710e797/materials-17-03949-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8abc/11355605/b06e67464f2c/materials-17-03949-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8abc/11355605/3ff73004f376/materials-17-03949-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8abc/11355605/447196335947/materials-17-03949-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8abc/11355605/78787d4a8668/materials-17-03949-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8abc/11355605/ce9cb6e41a4d/materials-17-03949-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8abc/11355605/84460317877a/materials-17-03949-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8abc/11355605/63bb9194aae1/materials-17-03949-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8abc/11355605/77616710e797/materials-17-03949-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8abc/11355605/b06e67464f2c/materials-17-03949-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8abc/11355605/3ff73004f376/materials-17-03949-g008.jpg

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本文引用的文献

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Recent progress in minimizing the warpage and shrinkage deformations by the optimization of process parameters in plastic injection molding: a review.通过优化塑料注塑成型工艺参数来最小化翘曲和收缩变形的最新进展:综述
Int J Adv Manuf Technol. 2022;120(1-2):85-101. doi: 10.1007/s00170-022-08859-0. Epub 2022 Feb 10.
3
Optimization of Injection-Molding Process for Thin-Walled Polypropylene Part Using Artificial Neural Network and Taguchi Techniques.
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Causes of the Gloss Transition Defect on High-Gloss Injection-Molded Surfaces.高光泽注塑表面光泽过渡缺陷的成因。
Polymers (Basel). 2020 Sep 15;12(9):2100. doi: 10.3390/polym12092100.