微米厚度金属薄膜/陶瓷基体界面力学性能的实验测量与数值模拟

DETERMINATION OF INTERFACE PROPERTIES BETWEEN MICRON-THICK METAL FILM AND CERAMIC SUBSTRATE

  • 摘要: 为研究微米量级厚度薄膜(Cu)与基体(Al2O3)之间界面的断裂韧度和分离强度,1μm―15μm厚的铜膜通过真空溅射/电镀的方法粘结到基体上,进行薄膜撕裂实验测量撕裂力和裂纹端部弯曲半径;此外,该文建立了描述撕裂过程的有限元模型,薄膜与基体之间的界面采用粘聚力单元描述,薄膜的本构关系采用应变梯度理论描述以刻画其尺度效应。在实验和数值模型基础上提出用神经网络反分析获得界面断裂韧度和分离强度,网络输入端为撕裂力和裂纹端部弯曲半径,输出断裂韧度和分离强度,66组模拟结果用于训练网络,训练后的网络可根据实验测量数据预测断裂韧度(0.045N/mm)和分离强度(26.6MPa)。

     

    Abstract: In order to estimate both the interface toughness and separation strength between micron-thick copper film and Al2O3 substrate, peel test measurements with film thicknesses 1―15 microns have been performed and the peel forces with the curvature radiuses at crack tip have been measured. Furthermore, a finite element model is presented to simulate the peeling process. In our simulations the interface between film and substrate is modeled by Cohesive Zone Model (CZM) and the constitutive relation of copper film is modeled by strain gradient plasticity (SGP) theory to characterize the size effect. Based on the experiments and simulations, an inverse analysis based on neural network method is adopted to determine the interfacial parameters. The inputs of the neural network are peel force and curvature radius at crack tip, the outputs are interface toughness and separation strength. The neutral network is trained by 66 simulated data, and the trained network can predict the interface toughness (0.045N/mm) and separation strength (26.6MPa) from measured data.

     

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