Intelligent Modelling of Thin Strip Rolling

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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.