Injection-molded long-fiber thermoplastic composites: From process modeling to prediction of mechanical properties

B. N. Nguyen, V. Kunc, X. Jin, C. L. Tucker, F. Costa

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This article illustrates the predictive capabilities for long-fiber thermoplastic (LFT) composites that first simulate the injection molding of LFT structures by Autodesk® Simulation Moldflow® Insight (ASMI) to accurately predict fiber orientation and length distributions in these structures. After validating fiber orientation and length predictions against the experimental data, the predicted results are used by ASMI to compute distributions of elastic properties in the molded structures. In addition, local stress-strain responses and damage accumulation under tensile loading are predicted by an elastic-plastic damage model of EMTA-NLA, a nonlinear analysis tool implemented in ABAQUS® via user-subroutines using an incremental Eshelby-Mori-Tanaka approach. Predicted stress-strain responses up to failure and damage accumulations are compared to the experimental results to validate the model.

Original languageEnglish
Title of host publication28th Annual Technical Conference of the American Society for Composites 2013, ASC 2013
Pages419-436
Number of pages18
StatePublished - 2013
Event28th Annual Technical Conference of the American Society for Composites 2013, ASC 2013 - State College, PA, United States
Duration: Sep 9 2013Sep 11 2013

Publication series

Name28th Annual Technical Conference of the American Society for Composites 2013, ASC 2013
Volume1

Conference

Conference28th Annual Technical Conference of the American Society for Composites 2013, ASC 2013
Country/TerritoryUnited States
CityState College, PA
Period09/9/1309/11/13

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