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多工艺参数对预浸料摩擦系数的影响及机器学习预示方法

宋锋 张佳晨 吕柄熠 王时玉 校金友 文立华 侯晓

宋锋, 张佳晨, 吕柄熠, 等. 多工艺参数对预浸料摩擦系数的影响及机器学习预示方法[J]. 复合材料学报, 2024, 42(0): 1-11.
引用本文: 宋锋, 张佳晨, 吕柄熠, 等. 多工艺参数对预浸料摩擦系数的影响及机器学习预示方法[J]. 复合材料学报, 2024, 42(0): 1-11.
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.

多工艺参数对预浸料摩擦系数的影响及机器学习预示方法

基金项目: 国家自然科学基金重点项目(52090051) ;陕西省重点研发计划(2021ZDLGY11-02);国家自然科学基金委员会-中国航天科技集团有限公司航天先进制造技术研究联合基金(U1837601)
详细信息
    通讯作者:

    校金友,博士,教授,博士生导师,研究方向为计算结构力学、复合材料结构设计 E-mail: xiaojy@nwpu.edu.cn

    文立华,博士,教授,博士生导师,研究方向为飞行器结构设计 E-mail: Lhwen@nwpu.edu.cn

  • 中图分类号: TB332

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)
  • 摘要: 在复合材料成型过程中,预浸料/预浸料和预浸料/模具之间的摩擦滑移行为会导致褶皱、孔隙等缺陷,严重影响构件力学性能。然而复杂构件成型过程中预浸料层间摩擦行为影响因素众多,现有理论模型涵盖的工艺参数有限,导致成型工艺仿真精度低,无法满足高质量成型要求。本文设计了面向多工艺参数的碳纤维预浸料摩擦试验方法,研究了速率、法向力、粘度、表面粗糙度、接触材料、纤维方向等工艺参数对摩擦系数的影响规律,以典型纤维方向$ {{\text{0}}^{\text{o}}}{\text{/4}}{{\text{5}}^{\text{o}}}{\text{/9}}{{\text{0}}^{\text{o}}} $为例,揭示了不同纤维方向的界面摩擦机理。为实现多工艺参数下摩擦系数的快速、准确预示,建立了基于支持向量回归(SVR)的预浸料摩擦系数预示模型。开展相对纤维方向为$ {\text{[3}}{{\text{0}}^{\text{o}}}{\text{/}}{{\text{0}}^{\text{o}}}{\text{]}} $和$ {\text{[6}}{{\text{0}}^{\text{o}}}{\text{/}}{{\text{0}}^{\text{o}}}{\text{]}} $的预浸料/预浸料界面摩擦系数的试验和预测,两者偏差小于7%。

     

  • 图  1  层间摩擦试验方法

    Figure  1.  Inter-ply friction test method

    图  2  试验装置及仪器

    Figure  2.  Test setup and apparatus

    图  3  不同接触材料

    Figure  3.  Different contact materials

    图  4  摩擦试验力-位移关系曲线示意图

    Figure  4.  Schematic curve of force-displacement relation for the friction test

    图  5  不同法向力和速率下预浸料/Ra12.5金属界面的摩擦系数

    Figure  5.  Friction coefficients at the prepreg/Ra12.5 metal interface under different normal forces and rates

    图  6  不同粘度下Ra12.5金属、复合材料板和预浸料之间的摩擦系数

    Figure  6.  Friction coefficients at the Ra12.5 metal, laminate and prepreg interface under different viscosities

    图  7  不同表面粗糙度下预浸料/金属界面的摩擦系数

    Figure  7.  Friction coefficients at the prepreg/metal interface under different surface roughness

    图  8  不同接触材料对应的摩擦系数

    Figure  8.  Friction coefficients corresponding to different contact materials

    图  9  不同纤维方向对应的摩擦系数

    Figure  9.  Friction coefficients corresponding to different fiber orientations

    图  10  不同纤维方向界面的剖面图和立体示意图

    Figure  10.  Cross sectional view and stereogram of the sliding interfaces for different fiber orientations

    图  11  SVR超平面

    Figure  11.  SVR hyperplane

    图  12  测试集中不同样本静摩擦系数的试验值与预测值

    Figure  12.  Test and predicted values of static friction coefficients for different samples in the test set

    图  13  测试集中不同样本动摩擦系数的试验值与预测值

    Figure  13.  Test and predicted values of kinetic friction coefficients for different samples in the test set

    图  14  预浸料/预浸料界面的预示值与试验值对比

    Figure  14.  Comparison between predicted and test values of prepreg ply-ply interface

    图  15  速率和法向力对预浸料/Ra12.5金属界面摩擦系数的影响

    Figure  15.  The influence of velocity and normal force on friction coefficient of the prepreg/Ra12.5 metal interface

    表  1  摩擦试验参数

    Table  1.   Friction test parameters

    Parameter Baseline value Additional values
    investigated
    Surface roughness Ra12.5 Ra12.5、Ra25
    Contact material - Ra12.5 Metal、Sand、Laminate、Gypsum、Prepreg、Rubber
    Fiber orientation/(°) 0 0、45、90
    Sliding velocity/
    (mm·min−1)
    100 30、100、200
    Normal force/N 10 2、10、20
    Viscosity/
    ($ {\text{MPa}} \cdot {\text{s}} $)
    591.8 591.8、895.7
    下载: 导出CSV

    表  2  测试集中不同静摩擦系数预示模型的决定系数${R^2}$和预测误差的方差${S^2}$

    Table  2.   Coefficient of determination ${R^2}$ and forecast error variance ${S^2}$ for different static friction coefficient prediction models in the test set

    Model${R^2}$value${S^2}$value
    BPNN0.6420.0091
    RF0.8840.0029
    SVR0.9300.0016
    下载: 导出CSV

    表  3  测试集中不同动摩擦系数预示模型的决定系数${R^2}$和预测误差的方差${S^2}$

    Table  3.   Coefficient of determination ${R^2}$ and forecast error variance ${S^2}$ for different kinetic friction coefficient prediction models in the test set

    Model ${R^2}$ value ${S^2}$ value
    BPNN 0.682 0.0062
    RF 0.908 0.0018
    SVR 0.938 0.0011
    下载: 导出CSV
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出版历程
  • 收稿日期:  2023-12-27
  • 修回日期:  2024-02-21
  • 录用日期:  2024-02-26
  • 网络出版日期:  2024-03-19

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