TY - GEN
T1 - Fast prediction of crystallinity in injection molding during the packing stage
AU - Zhao, Peng
AU - Wang, Xiaoman
AU - Fu, Jianzhong
AU - Turng, Lih Sheng
PY - 2016
Y1 - 2016
N2 - Being able to predict products' degrees of crystallinity, and thereby optimize their crystallization processes, is of great significance for producing high quality polymeric products in injection molding. Injection molding simulation software can simulate polymers' density results during the packing stage, and these predicted density results can be used to calculate polymers' crystallinity results. Based on this idea, a novel method was proposed to predict the degree of crystallinity for polymers during the packing stage. For this method, pressure and temperature results were first simulated using injection molding simulation software, and then the density results were calculated based on a pressure-volume-Temperature (PVT) model. Next, the crystallinity results were solved according to the densities of the fully crystalline part and the purely amorphous part. Finally, a real part in production was conducted as a case study to verify the proposed crystallinity prediction method. Experimental results showed that the proposed method was both correct and effective.
AB - Being able to predict products' degrees of crystallinity, and thereby optimize their crystallization processes, is of great significance for producing high quality polymeric products in injection molding. Injection molding simulation software can simulate polymers' density results during the packing stage, and these predicted density results can be used to calculate polymers' crystallinity results. Based on this idea, a novel method was proposed to predict the degree of crystallinity for polymers during the packing stage. For this method, pressure and temperature results were first simulated using injection molding simulation software, and then the density results were calculated based on a pressure-volume-Temperature (PVT) model. Next, the crystallinity results were solved according to the densities of the fully crystalline part and the purely amorphous part. Finally, a real part in production was conducted as a case study to verify the proposed crystallinity prediction method. Experimental results showed that the proposed method was both correct and effective.
UR - https://www.scopus.com/pages/publications/85010684133
M3 - 会议稿件
AN - SCOPUS:85010684133
T3 - Annual Technical Conference - ANTEC, Conference Proceedings
SP - 1082
EP - 1086
BT - ANTEC 2016 - Proceedings of the Annual Technical Conference and Exhibition of the Society of Plastics Engineers
PB - Society of Plastics Engineers
T2 - 74th Annual Technical Conference and Exhibition of the Society of Plastics Engineers, SPE ANTEC Indianapolis 2016
Y2 - 23 May 2016 through 25 May 2016
ER -