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Title: Predictive Engineering Tools for Injection-Molded Long-Carbon-Fiber Thermoplastic Composites. Topical Report

Abstract

This project aimed to integrate, optimize, and validate the fiber orientation and length distribution models previously developed and implemented in the Autodesk® Simulation Moldflow® Insight (ASMI) software package for injection-molded long-carbon-fiber (LCF) thermoplastic composite structures. The project was organized into two phases. Phase 1 demonstrated the ability of the advanced ASMI package to predict fiber orientation and length distributions in LCF/polypropylene (PP) and LCF/polyamide-6, 6 (PA66) plaques within 15% of experimental results. Phase 2 validated the advanced ASMI package by predicting fiber orientation and length distributions within 15% of experimental results for a complex three-dimensional (3D) Toyota automotive part injection-molded from LCF/PP and LCF/PA66 materials. Work under Phase 2 also included estimate of weight savings and cost impacts for a vehicle system using ASMI and structural analyses of the complex part. The present report summarizes the completion of Phases 1 and 2 work activities and accomplishments achieved by the team comprising Pacific Northwest National Laboratory (PNNL); Purdue University (Purdue); Virginia Polytechnic Institute and State University (Virginia Tech); Autodesk, Inc. (Autodesk); PlastiComp, Inc. (PlastiComp); Toyota Research Institute North America (Toyota); Magna Exteriors and Interiors Corp. (Magna); and University of Illinois. Figure 1 illustrates the technical approach adopted in this project thatmore » progressed from compounding LCF/PP and LCF/PA66 materials, to process model improvement and implementation, to molding and modeling LCF/PP and LCF/PA66 plaques. The lessons learned from the plaque study and the successful validation of improved process models for fiber orientation and length distributions for these plaques enabled the project to go to Phase 2 to mold, model, and optimize the 3D complex part.« less

Authors:
 [1];  [1];  [2];  [2];  [3];  [3];  [4];  [4];  [4];  [5];  [6];  [6];  [7];  [8]
  1. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  2. Autodesk, Inc., Ithaca, NY (United States)
  3. Virginia Polytechnic Inst. and State Univ. (Virginia Tech), Blacksburg, VA (United States)
  4. Purdue Univ., West Lafayette, IN (United States)
  5. Toyota Research Inst. North America, Ann Arbor, MI (United States)
  6. PlastiComp, Inc., Winona, MN (United States)
  7. Magna Exteriors and Interiors Corporation, Aurora, ON (Canada)
  8. Univ. of Illinois, Urbana-Champaign, IL (United States)
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1399184
Report Number(s):
PNNL-25440
830403000
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING; carbon fiber; long fiber thermoplastic; injection molding; process modeling; fiber orientation; fiber length; finite element; elastic properties; weight reduction

Citation Formats

Nguyen, Ba Nghiep, Fifield, Leonard S., Wang, Jin, Costa, Franco, Lambert, Gregory, Baird, Donald G., Sharma, Bhisham A., Kijewski, Seth A., Sangid, Michael D., Gandhi, Umesh N., Wollan, Eric J., Roland, Dale, Mori, Steven, and Tucker, III, Charles L. Predictive Engineering Tools for Injection-Molded Long-Carbon-Fiber Thermoplastic Composites. Topical Report. United States: N. p., 2016. Web. doi:10.2172/1399184.
Nguyen, Ba Nghiep, Fifield, Leonard S., Wang, Jin, Costa, Franco, Lambert, Gregory, Baird, Donald G., Sharma, Bhisham A., Kijewski, Seth A., Sangid, Michael D., Gandhi, Umesh N., Wollan, Eric J., Roland, Dale, Mori, Steven, & Tucker, III, Charles L. Predictive Engineering Tools for Injection-Molded Long-Carbon-Fiber Thermoplastic Composites. Topical Report. United States. https://doi.org/10.2172/1399184
Nguyen, Ba Nghiep, Fifield, Leonard S., Wang, Jin, Costa, Franco, Lambert, Gregory, Baird, Donald G., Sharma, Bhisham A., Kijewski, Seth A., Sangid, Michael D., Gandhi, Umesh N., Wollan, Eric J., Roland, Dale, Mori, Steven, and Tucker, III, Charles L. 2016. "Predictive Engineering Tools for Injection-Molded Long-Carbon-Fiber Thermoplastic Composites. Topical Report". United States. https://doi.org/10.2172/1399184. https://www.osti.gov/servlets/purl/1399184.
@article{osti_1399184,
title = {Predictive Engineering Tools for Injection-Molded Long-Carbon-Fiber Thermoplastic Composites. Topical Report},
author = {Nguyen, Ba Nghiep and Fifield, Leonard S. and Wang, Jin and Costa, Franco and Lambert, Gregory and Baird, Donald G. and Sharma, Bhisham A. and Kijewski, Seth A. and Sangid, Michael D. and Gandhi, Umesh N. and Wollan, Eric J. and Roland, Dale and Mori, Steven and Tucker, III, Charles L.},
abstractNote = {This project aimed to integrate, optimize, and validate the fiber orientation and length distribution models previously developed and implemented in the Autodesk® Simulation Moldflow® Insight (ASMI) software package for injection-molded long-carbon-fiber (LCF) thermoplastic composite structures. The project was organized into two phases. Phase 1 demonstrated the ability of the advanced ASMI package to predict fiber orientation and length distributions in LCF/polypropylene (PP) and LCF/polyamide-6, 6 (PA66) plaques within 15% of experimental results. Phase 2 validated the advanced ASMI package by predicting fiber orientation and length distributions within 15% of experimental results for a complex three-dimensional (3D) Toyota automotive part injection-molded from LCF/PP and LCF/PA66 materials. Work under Phase 2 also included estimate of weight savings and cost impacts for a vehicle system using ASMI and structural analyses of the complex part. The present report summarizes the completion of Phases 1 and 2 work activities and accomplishments achieved by the team comprising Pacific Northwest National Laboratory (PNNL); Purdue University (Purdue); Virginia Polytechnic Institute and State University (Virginia Tech); Autodesk, Inc. (Autodesk); PlastiComp, Inc. (PlastiComp); Toyota Research Institute North America (Toyota); Magna Exteriors and Interiors Corp. (Magna); and University of Illinois. Figure 1 illustrates the technical approach adopted in this project that progressed from compounding LCF/PP and LCF/PA66 materials, to process model improvement and implementation, to molding and modeling LCF/PP and LCF/PA66 plaques. The lessons learned from the plaque study and the successful validation of improved process models for fiber orientation and length distributions for these plaques enabled the project to go to Phase 2 to mold, model, and optimize the 3D complex part.},
doi = {10.2172/1399184},
url = {https://www.osti.gov/biblio/1399184}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Jun 01 00:00:00 EDT 2016},
month = {Wed Jun 01 00:00:00 EDT 2016}
}