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论文类型：期刊论文

发表时间：2022-06-28

发表刊物：大连理工大学学报

期号：5

页面范围：678-684

ISSN号：1000-8608

摘要：Using commercial FE software DEFORM-3D, a 3D thermo-mechanical rigid-plastic FE model was developed to simulate a vertical-horizontal hot rolling process for heavy plate. The 3D FE model was used to simulate 320 kinds of different vertical-horizontal rolling processes under different rolling parameters, such as slab thickness, slab width, edging reduction and thickness reduction ratio, and the influences of different process parameters on edging efficiency were discussed. Simulation results show that edging efficiency increases with increment of edging reduction and slab width, while decreases with increment of slab thickness and thickness reduction ratio. Based on the FE numerical simulation results, a heavy plate width control model for vertical-horizontal hot rolling process was established with the aid of a BP artificial neural network (ANN). Edging efficiencies predicted by the model are in good agreement with the FE numerical simulation results. The heavy plate width control model was employed in an FE numerical simulation of a real heavy plate rolling process to control the plate width, the simulated plate width is in good agreement with the measured one.

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