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| Atmospheric Corrosion Rule of Aluminium Alloy Based on Hierarchical Linear Model |
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| DOI：10.7643/issn.1672-9242.2023.06.019 |
| KeyWord:hierarchical linear model aluminum alloy atmospheric corrosion corrosion model regional difference interpretability |
| Author | Institution |
| ZHOU Jun-yan |
Southwest Institute of Technology and Engineering, Chongqing , China |
| WANG Jing-cheng |
Southwest Institute of Technology and Engineering, Chongqing , China |
| YANG Xiao-kui |
Southwest Institute of Technology and Engineering, Chongqing , China |
| WANG Jin-mei |
Southwest Institute of Technology and Engineering, Chongqing , China |
| ZHOU Kun |
Southwest Institute of Technology and Engineering, Chongqing , China |
| SHU Chang |
Southwest Institute of Technology and Engineering, Chongqing , China |
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| Abstract: |
| The work aims to establish a more accurate atmospheric corrosion model of aluminum alloy aiming at the difference of atmospheric corrosion of aluminum alloy in different regions and the insufficient use of sample data to study the atmospheric corrosion rule of aluminum alloy in different environments. Based on hierarchical linear model, the corrosion rate model with hierarchical structure was constructed. With corrosion data of a certain type of aluminum alloy as the research object, zero model, random coefficient regression model and complete model were established step by step to explore the atmospheric corrosion rule and make prediction and evaluation. Model evaluation was performed through cross validation and HLM (MSE= 0.001 3) was superior to power function regression (MSE=0.005 5) and far superior to linear regression (MSE=0.031 6), improving the prediction accuracy. HLM could effectively decompose the total variance and enhance the interpretability of the model. The HLM combined with the regional difference characteristics of aluminum alloy corrosion data can effectively characterize the atmospheric corrosion rule, which has certain practical value. |
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