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Computational micromechanics model based failure criteria for chopped carbon fiber sheet molding compound composites

Journal Article · · Composites Science and Technology
 [1];  [2];  [3];  [4];  [5];  [6];  [7];  [2];  [8]
  1. Nanjing Tech Univ. (China). Key Lab. for Light-weight Materials; National Univ. of Singapore (Singapore). Dept. of Mechanical Engineering; Nanjing Tech Univ. (China)
  2. Nanjing Tech Univ. (China). Key Lab. for Light-weight Materials
  3. Univ. of Connecticut, Storrs, CT (United States)
  4. Shanghai Jiao Tong Univ. (China). School of Design
  5. McMaster Univ., Hamilton, ON (Canada). Dept. of Mechanical Engineering
  6. The Ohio State Univ., Columbus, OH (United States). Dept. of Materials Science and Engineering
  7. National Univ. of Singapore (Singapore). Dept. of Mechanical Engineering
  8. Ford Motor Company, Dearborn, MI (United States)
Chopped carbon fiber sheet molding compound has a great potential in lightweight automotive, marine, and aerospace applications. One of the most challenging tasks is to predict the failure strength of the material due to its anisotropy and heterogeneity, as well as complex stress states in real-world working conditions. In this work, a novel constitutive model of carbon fiber chip is proposed to capture the pre- and post-failure behaviors under different loading modes. On this basis, we propose a new computational micromechanics model, which is calibrated and validated by uniaxial tensile, compressive, and in-plane shear experiments. Furthermore, a set of microstructures representative volume element (RVE) models under complex loading conditions are reconstructed to understand the relationship between the microstructure characteristics and the failure envelopes. Finally, several modified versions of classical failure criteria are proposed for anisotropic materials with consideration of the fiber orientation tensor. The modified Tsai-Wu failure criterion, which shows the best accuracy among all failure criteria, is highlighted in the comparative study.
Research Organization:
Ford Motor Company, Detroit, MI (United States)
Sponsoring Organization:
National Science Foundation (NSF); USDOE; USDOE Office of Energy Efficiency and Renewable Energy (EERE)
Grant/Contract Number:
EE0006867
OSTI ID:
1848459
Alternate ID(s):
OSTI ID: 1656657
Journal Information:
Composites Science and Technology, Journal Name: Composites Science and Technology Journal Issue: C Vol. 200; ISSN 0266-3538
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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