| METALS AND METAL MATRIX COMPOSITES |
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| On the Research and Application of “Artificial Intelligence Plus Finite Element” Models in the Field of Rolling |
| WANG Kai, MEI Reibin*
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| State Key Laboratory of Rolling and Automation, Northeastern University, Shenyang 110819, China |
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Abstract With the continuous development of industry,rolling is no longer limited to obtaining a certain size and shape of the workpiece, but focuses on obtaining the required microstructure and mechanical properties. To achieve this goal, the control of rolling parameters in the rolling process is essential. The on-line control of rolling parameters is using the method combining computer technology and rolling calculation model,which can obtain real-time rolling value parameters in the rolling production process and then achieve real-time adjustment. This method will greatly improve the rolling efficiency and product quality. Therefore, the construction of rolling calculation model with high calculation accuracy and fast calculate speed is a research hotspot in the current rolling field.
With the continuous improvement of rolling quality requirements, due to the simplification of mathematical analytical model based on traditional theory, it cannot meet the requirements of strong nonlinear coupling relationships, such as deformation, temperature, material and microstructure in rolling process. Rolling belongs to metal plastic processing. Its calculation is a large strain elastic-plastic problem. It involves many geometric and physical nonlinear problems. Aimed at these problems, the finite element model is precise, but the disadvantage of long calculation time has become the barrier to on-line control. In recent years, with the rapid development of computer technology, the replacement of algorithms and the improvement of the basic theory of parameter prediction model, artificial intelligence and finite element technologies have been applied in the field of rolling widely. In particular, the ‘Artificial intelligence + Finite element’ prediction model combines the advantages of artificial intelligence model and finite element model, and has the superiority of high calculation speed and strong generalization ability. It better reflects the requirements of online prediction and control of rolling process.
On the basis of summarizing the research progress of mathematical model, finite element model, artificial intelligence model and hybrid model in rolling field, this paper compares the advantages and disadvantages of three models, and summarizes their improvement measures respectively. Combined with the current research results, this paper makes a conclusion that the constructing a hybrid model is very important. It focuses on the model through the introduction of artificial intelligence and finite element technology in rolling process, emphasizes the progress of this hybrid model and looks forward to its future development trend.
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Published: 10 July 2022
Online: 2022-07-12
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| Fund:Iron and Steel Joint Fund Project of Natural Science Foundation of Hebei Province (E2018501016), and Science and Technology Fund of Liaoning Province (20170520314). |
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