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Multi-Scale Modeling of Curing Residual Stresses in Composite with Random Fiber Distribution into Consideration

  • Zhenyi YuanEmail author
  • Ben Zhang
  • Guigeng Yang
  • ZhenchaoYang
  • Aofei Tang
  • Shujuan Li
  • Yan Li
  • Pengkang Zhao
  • Yongjun Wang
Article
  • 11 Downloads

Abstract

During curing process of composites, residual stresses inevitably develop and play an important role in the final mechanical properties of composites. Therefore, the consideration of residual stresses when designing composite structure is necessary. The causes of residual stresses are well known on the part and fiber-matrix level. However, the influence of the part level factors on micro residual stresses is less known and rarely investigated. This work aims at a better understanding of the effects of macro-level factors, including temperature variation and mechanical strains on micro-scale stresses. To this end, a multi-scale method is developed, which consists of a macro-scale model to capture temperature variation and mechanical strains field under a given cycle condition, and a RVE (Representative Volume Element) to predict residual stresses in matrix. The results demonstrate that the maximum micro residual stress in matrix presents about almost 52% reduction in the model with part-level information into consideration as compared with the results without considering the multi-scale effect. It can be also seen that with multi-scale effect into account, the matrix in the RVE experienced tensile residual stresses in the matrix-poor locations and compressive residual stresses in the matrix-poor locations.

Keywords

Thermosetting resin Residual stress Finite element analysis Multi-scale modeling 

Notes

Acknowledgements

The authors would like to acknowledge the financial supports by National Nature Science Foundation of China (51575442, 51805430), China Postdoctoral Science Foundation (2017 M613172) and Natural Science Foundation of Shaanxi Provincial Department of Education (17JK0562).

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Copyright information

© Springer Nature B.V. 2019

Authors and Affiliations

  • Zhenyi Yuan
    • 1
    Email author
  • Ben Zhang
    • 1
  • Guigeng Yang
    • 1
  • ZhenchaoYang
    • 1
  • Aofei Tang
    • 1
  • Shujuan Li
    • 1
  • Yan Li
    • 1
  • Pengkang Zhao
    • 1
  • Yongjun Wang
    • 2
  1. 1.School of Mechanical and Instrument EngineeringXi’an University of TechnologyXi′anChina
  2. 2.School of Mechanical EngineeringNorthwestern Polytechnical UniversityXi′anChina

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