基于灰色系统理论的动车组铝合金横梁涂层在实验室盐雾环境下的寿命预测研究

Life Prediction of Aluminum Alloy Beam Coatings for Rolling Stock in Laboratory Salt Spray Environment Based on Grey System Theory

  • 摘要: 在实验室盐雾环境条件下建立了动车组铝合金横梁涂层体系的寿命预测模型,并预测了该环境下涂层体系的服役寿命。首先,基于实验室盐雾环境条件下的实验结果,分别构建了涂层体系的吸水动力学模型、湿态附着力GM (1,1)模型以及涂层厚度数学模型。随后,利用灰色关联分析方法,计算并修正这3种失效影响因素在涂层失效过程中所占的权重,建立涂层体系失效的数学模型。经过数学统计和实验结果对比验证,认为该模型具有良好的可靠性,能够对实验室盐雾环境条件下动车组铝合金横梁涂层的寿命进行准确预测。

     

    Abstract: The life prediction model of the aluminum alloy beam coating system for multiple units under laboratory salt spray environment is established, and the service life of the coating system under this environment is predicted. First of all, based on the experimental results under the laboratory salt spray environment, the water absorption dynamics model, wet adhesion GM (1,1) model and coating thickness mathematical model of the coating system are constructed, respectively. Then, the weights of the three failure factors in the coating failure process are calculated and corrected by using the grey correlation analysis method, and the mathematical model of the coating system failure is established based on these three factors. Through the mathematical statistical verification and comparison of the test results, the model has good reliability and can accurately predict the life of the aluminum alloy beam coating of multiple units under the laboratory salt spray environment.

     

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