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Evaluation of Fiber Orientation Prediction of Moldflow Using an Injection Molded IP Panel

[+] Author Affiliations
Xianjun Sun, Jie Tao

Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China

Yuan Gan, John Lasecki, Danielle Zeng, Li Qi, Lu Li, Jeff Webb

Ford Motor Company, Dearborn, MI

Paper No. MSEC2013-1255, pp. V001T01A039; 6 pages
  • ASME 2013 International Manufacturing Science and Engineering Conference collocated with the 41st North American Manufacturing Research Conference
  • Volume 1: Processing
  • Madison, Wisconsin, USA, June 10–14, 2013
  • Conference Sponsors: Manufacturing Engineering Division
  • ISBN: 978-0-7918-5545-4
  • Copyright © 2013 by ASME


The fiber orientation distribution is one of the important microstructural variables for thermoplastic composites reinforced with discontinuous fibers. In this article, Moldflow is used to predict the fiber orientation distribution in an automotive component. Image analysis by MATLAB is adopted to validate the simulated results after taking pictures of fibers by X-ray CT. It is shown that the Moldflow predicts the average distribution in direction of the thickness accurately, with predicted eigenvalue of the orientation tensor within 5% of that measured. However, it failed to capture the change of principal eigenvalue in thickness direction.

Copyright © 2013 by ASME
Topics: Fibers



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