journal article·2002-04

On the Prediction of Crystallinity Distribution in Injection Molded Semi-Crystalline Thermoplastics

Jianxin Guo, Kwabena A. Narh

Publisher page

Abstract

Injection molded semi-crystalline thermoplastic parts show variable morphologies across their thickness. Process parameters such as injection speed, mold temperature, and melt temperature, play an important role in forming these morphologies. The heat and shear history has a great effect on the crystallization process of the semi-crystalline plastics. In this study, different available crystallization models were used to predict the crystallinity distribution, and capabilities of the models compared. Based on the results from these models, a more realistic model, which considers stress relaxation during the crystallization process, is proposed.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Injection Molding Process and Properties · Polymer crystallization and properties · Polymer Foaming and Composites

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Mechanical Engineering Department, New Jersey Institute of Technology, University Heights, Newark, NJ 07102

References (12)

Show source-provided references
1. 10.1002/app.1993.07047011610.1002/app.1993.070470116 ↗
2. 10.1002/app.1993.07047011710.1002/app.1993.070470117 ↗
3. 10.1016/0079-6700(90)90008-O10.1016/0079-6700(90)90008-O ↗
4. 10.1002/pen.76026011410.1002/pen.760260114 ↗
5. Hsiung, C. M. · J. Appl. Polym. Sci. · 1991 · 31 · 1372
6. 10.3139/217.97022810.3139/217.970228 ↗
7. 10.3139/217.97004510.3139/217.970045 ↗
8. 10.1007/BF0152192810.1007/BF01521928 ↗
9. 10.1002/app.1973.07017040410.1002/app.1973.070170404 ↗
10. 10.1021/ja01619a00910.1021/ja01619a009 ↗
11. 10.1002/pen.76013010310.1002/pen.760130103 ↗
12. 12. Osswald, T. A. and Menges, G., Materials Science of Polymer for Engineers, pp. 53-58, Hanser Publishers, NT (1996).