A Methodology to Predict and Optimize Ease of Assembly for Injected Parts in a Family-Mold System

doi:10.3390/polym13183065

機構典藏 > College of Engineering > Graduate Institute & Department of Chemical and Materials Engineering > Journal Article > Item 987654321/121325

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Title:	A Methodology to Predict and Optimize Ease of Assembly for Injected Parts in a Family-Mold System
Authors:	Huang, Chao-Tsai;Lin, Tsai-Wen;Jong, Wen-Ren;Chen, Shia-Chung
Keywords:	injection molding;degree of assembly;a family mold system;CAE-DOE optimization
Date:	2021-09-10
Issue Date:	2021-09-24 12:13:11 (UTC+8)
Publisher:	MPDI
Abstract:	In this study, the assembly behavior for two injected components made by a family mold system has been investigated. Specifically, a feasible method has been proposed to evaluate the char-acteristic length for two components within a family mold system by using numerical simulation and experimental validation. Results show that as the packing pressure increases, the product index (characteristic length) becomes worse. The tendency is consistent for both simulation prediction and experimental observation. However, for the same operation condition setting through a basic test, there are some difference in the product index between the simulation pre-diction and experimental observation. Specifically, product index difference of the experimental observation is 1.65 times over that of the simulation prediction. To realize that difference between simulation and experiment, the driving force index (DFI) based on the injection pressure history curve was proposed. Through the DFI investigation, it shows that the internal driving force of the experimental system is 1.59 times over that of the simulation one. The DFI is further used as the basis for doing the machine calibration. Furthermore, after finished the machine calibration, the CAE-DOE strategy can optimize the ease of assembly up to 20%. The result is validated by ex-perimental observation.
Relation:	Polymers 13(18), 3065
DOI:	10.3390/polym13183065
Appears in Collections:	[Graduate Institute & Department of Chemical and Materials Engineering] Journal Article

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