journal article·2002-10

Optimizing injection gate location and cycle time for the in‐mold coating (IMC) process

Mauricio Carbera‐Rios, Konstantin S. Zuyev, Xu Chen, Jose M. Castro, Elliott J. Straus

Polymer Composites· Volume 23· Issue 5
Publisher page

Abstract

Abstract The standard practice when compression molding Sheet Molding Compound (SMC) exterior automotive body panels is to in‐mold coat (IMC) the parts. Consequently, IMC needs to be considered an integral part when improving the process. Selecting the proper IMC injection gate location to obtain a defect‐free coated part and properly setting the IMC processing conditions to reduce its cycle time are both key decisions for the IMC process. In the present work, an optimization method that involves metamodeling through either linear regression or artificial neural networks is explored with two purposes: first, to select the injection gate location(s) with the objective of minimizing the potential for surface defects in the coating; and second, to set the mold wall temperature and the initiator concentration to minimize the cure time for a given minimum required flow time.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Injection Molding Process and Properties · Manufacturing Process and Optimization · Additive Manufacturing and 3D Printing Technologies

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

References (35)

Show source-provided references
1. J. M.CastroandR. M.Griffith Sheet Molding Compounds Science and Technology 163(1993).
2. Straus J. E. · Reinforced Plastics · 1997 · 41
3. Castro J. M. · 1996
4. J. A.DantzigandC. L.TuckerIII Introduction to Modeling of Materials Processing Urbana Illinois (1999).
5. Box G. E. P. · 1978 · 487
6. Montgomery D. C. · 1997
7. 10.1214/aoms/117770704710.1214/aoms/1177707047 ↗
8. 10.1080/00401706.1960.1048991210.1080/00401706.1960.10489912 ↗
9. 10.2307/126672510.2307/1266725 ↗
10. Box G. E. P. · Technometrics · 1961 · 3 · 419
11. Box G. E. P. · 1987
12. Peace G. S. · 1993
13. Fowlkes W. Y. · 1995
14. 10.1080/00401706.1989.1048847410.1080/00401706.1989.10488474 ↗
15. M.ChambersandC. A.Mount‐Campbell Process Optimization via Neural Network Metamodeling Presented at the11thInternational Working Seminar on Production Economics Igls/Innsbruck (February2000).
16. L.Fausset Fundamentals of Neural Networks: Architectures Algorithms and Applications Upper Saddle River N. J. Prentice Hall (1994).
17. W. S.Sarle “Neural Networks and Statistical Models ”Proceedings of the Nineteenth Annual SAS Users Group International Conference(1994).
18. Hagan M. T. · 1996
19. Bazaraa M. S. · 1993
20. Dennis J. E. · 1983
21. Hillier F. S. · 1995
22. 10.1016/S0377-2217(99)00453-110.1016/S0377-2217(99)00453-1 ↗
23. 10.1016/0098-1354(95)00072-A10.1016/0098-1354(95)00072-A ↗
24. 10.1002/pen.76030110710.1002/pen.760301107 ↗
25. Lee C. C. · J. Eng. Ind. · 1984 · 106 · 115
26. 10.3139/217.90007910.3139/217.900079 ↗
27. Lasdon L. S. · RAIRO · 1974 · 3 · 73
28. M.Cabrera‐Rios “An Approach to the Design of a Manufacturing Cell Under Economic Considerations” MS thesis The Ohio State University (1999).
29. 10.1002/pen.76026110610.1002/pen.760261106 ↗
30. 10.1002/pen.76021080810.1002/pen.760210808 ↗
31. 10.1016/0893-6080(89)90003-810.1016/0893-6080(89)90003-8 ↗
32. 10.1016/0893-6080(91)90009-T10.1016/0893-6080(91)90009-T ↗
33. 10.1162/neco.1992.4.3.44810.1162/neco.1992.4.3.448 ↗
34. 10.1016/0004-3702(89)90049-010.1016/0004-3702(89)90049-0 ↗
35. Scales L. E. · 1985