A Comparative Study of Two RVE Modelling Methods for Chopped Carbon Fiber SMC

To advance vehicle lightweighting, chopped carbon fiber sheet molding compound (SMC) is identified as a promising material to replace metals. However, there are no effective tools and methods to predict the mechanical property of the chopped carbon fiber SMC due to the high complexity in microstructure features and the anisotropic properties. In this paper, a Representative Volume Element (RVE) approach is used to model the SMC microstructure. Two modeling methods, the Voronoi diagram-based method and the chip packing method, are developed to populate the RVE. The elastic moduli of the RVE are calculated and the two methods are compared with experimental tensile test conduct using Digital Image Correlation (DIC). Furthermore, the advantages and shortcomings of these two methods are discussed in terms of the required input information and the convenience of use in the integrated processing-microstructure-property analysis.

• Record URL:
  https://doi.org/10.4271/2017-01-0224
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/01487191
• Supplemental Notes:
  • Abstract reprinted with permission of SAE International.
• Authors:
  • Chen, Zhangxing
  • Li, Yi
  • Shao, Yimin
  • Huang, Tianyu
  • Xu, Hongyi
  • Li, Yang
  • Chen, Wei
  • Zeng, Danielle
  • Avery, Katherine
  • Kang, HongTae
  • Su, Xuming
• Conference:
  • WCX™ 17: SAE World Congress Experience
  • Location: Detroit Michigan, United States
  • Date: 2017-4-4 to 2017-4-6
• Publication Date: 2017-3-28

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Serial:
  • SAE Technical Paper
  • Publisher: Society of Automotive Engineers (SAE)
  • ISSN: 0148-7191
  • EISSN: 2688-3627
  • Serial URL: http://papers.sae.org/

Subject/Index Terms

• TRT Terms: Carbon fibers; Forming; Mechanical properties; Metals; Microstructure; Properties of materials; Sheet molding compounds; Sheets
• Uncontrolled Terms: Digital image correlation
• Subject Areas: Highways; Materials; Vehicles and Equipment;

Filing Info

• Accession Number: 01642950
• Record Type: Publication
• Source Agency: SAE International
• Report/Paper Numbers: 2017-01-0224
• Files: TRIS, SAE
• Created Date: Aug 1 2017 10:08AM