Intelligent Modelling of Thin Strip Rolling

本计画的主要目的是发展一个整合非对称轧制、板带-轧辊界面动力学及板厚智能控制的模型。该项目的创新之处包括高精度的薄带轧制智能建模和带-辊界面动力学。预期的成果是技术建议的最佳速度之间的差异，在不同的摩擦和润滑条件下，神经网络/模糊逻辑模型，以准确地控制带钢厚度和交叉剪切轧制和验证的开发模型在大学的卧龙岗和东京首都大学。

The main aim of this project is to develop an integrated model which incorporates asymmetric rolling, dynamics of strip-roll interface and intelligent control of strip gauge. The innovation of the project includes the intelligent modelling of thin strip rolling with high precision and strip-roll interface dynamics. The expected outcomes are technical recommendations on optimum speed differential between the top and bottom work rolls under different friction and lubrication conditions, a model of neural networks/fuzzy logic to control accurately strip gauge and cross shear rolling and a verification of the developed model at the University of Wollongong and Tokyo Metropolitan University.