Turn off MathJax
Article Contents
SONG Feng, ZHANG Jiachen, LV Bingyi, et al. Influence of multiple process parameters on the friction coefficient of prepregs and machine learning prediction method[J]. Acta Materiae Compositae Sinica.
Citation: SONG Feng, ZHANG Jiachen, LV Bingyi, et al. Influence of multiple process parameters on the friction coefficient of prepregs and machine learning prediction method[J]. Acta Materiae Compositae Sinica.

Influence of multiple process parameters on the friction coefficient of prepregs and machine learning prediction method

Funds:  Key Project of National Natural Science Foundation of China (52090051); Key Research and Development Plan of Shaanxi Province (2021ZDLGY11-02); The Joint Fund of Advanced Aerospace Manufacturing Technology Research of National Natural Science Foundation of China and China Aerospace Science and Technology Corporation (U1837601)
  • Received Date: 2023-12-27
  • Accepted Date: 2024-02-26
  • Rev Recd Date: 2024-02-21
  • Available Online: 2024-03-19
  • During the forming process of composites, the friction-sliding behavior between prepreg ply-ply and ply-tool may lead to defects such as wrinkles and pores, which seriously affect the mechanical properties of the components. However, there are many factors affecting the inter-ply friction of the prepreg plies in the forming process of complex components. The existing theoretical models contain insufficient process parameters, resulting in the accuracy of forming process simulation not meeting high-quality forming requirements. In this paper, a friction test method for carbon fiber prepregs was designed for multiple process parameters. The influence of sliding velocity, normal force, viscosity, surface roughness, contact material, and fiber orientation on the friction coefficient were studied. Taking the typical fiber orientations of $ {{\text{0}}^{\text{o}}}{\text{/4}}{{\text{5}}^{\text{o}}}{\text{/9}}{{\text{0}}^{\text{o}}} $ as examples, the inter-ply friction mechanism in different fiber orientations was revealed. In order to predict the friction coefficient of prepreg corresponding to multiple process parameters rapidly and accurately, a prediction model for the friction coefficient of prepreg was established using the support vector regression (SVR) method. Taking the prepreg ply-ply friction behavior with relative fiber orientation of $ {\text{[3}}{{\text{0}}^{\text{o}}}{\text{/}}{{\text{0}}^{\text{o}}}{\text{]}} $ and $ {\text{[6}}{{\text{0}}^{\text{o}}}{\text{/}}{{\text{0}}^{\text{o}}}{\text{]}} $ as examples, the experiments and predictions were conducted, and the error was less than 7%.

     

  • loading
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (52) PDF downloads(1) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return