ZHANG Songlin, ZHANG Fengshou. Research on Aluminum Strip Rolling Thickness Prediction Based on Mechanism Model and Data-driven Hybrid MethodJ. Hot Working Technology, 2022, 51(17): 69-73. DOI: 10.14158/j.cnki.1001-3814.20202511
    Citation: ZHANG Songlin, ZHANG Fengshou. Research on Aluminum Strip Rolling Thickness Prediction Based on Mechanism Model and Data-driven Hybrid MethodJ. Hot Working Technology, 2022, 51(17): 69-73. DOI: 10.14158/j.cnki.1001-3814.20202511

    Research on Aluminum Strip Rolling Thickness Prediction Based on Mechanism Model and Data-driven Hybrid Method

    • Based on the mechanism model and data-driven hybrid model method, the thickness of the aluminum plate was predicted. The finite element analysis of the Al-1100 strip rolling process was carried out by Deform software. The prediction error of mechanism model was corrected by data-driven method. The results show that the error between the mixed model value and the actual value is in the range of 2.0%,and the qualified rate is 11.11% higher than that of the mechanism model value. The average error of the mixed model sample is 0.46% lower than that of mechanism model sample. The hybrid model value is closer to the actual value than the mechanism model value.
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