Abstract
During the hot strip tandem rolling (HSTR) process, the strip is compressed and elongated continuously, causing significant elastic deformation of rolls. At the same time, the strip temperature undergoes rapid increase and decrease, and distributes unevenly along the strip width direction. Elastic deformation of rolls and strip temperature variations have a significant effect on strip deformation, resulting in various strip shape. In this study, a novel three-dimensional (3D) coupled thermal-mechanical elastic-plastic finite element (FE) model for the HSTR is proposed based on the segmentation modeling strategy, where the finish mill is divided into several sub-models. The data transfer technology is developed to integrate the sub-models into a whole model via transferring the strip crown and temperature among the sub-models. Furthermore, the active and deactive element method, rigid pushing technology, and element remesh are also used to improve the calculation efficiency
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New system to advance predictions in engineering
Researchers from The University of Western Australia, the University of Cambridge and The Alan Turing Institute have radically redesigned and improved techniques for making predictions in the engineering and physical sciences.
The research, published in the prestigious Proceedings of the National Academy of Sciences (PNAS), builds on the well-known Finite Element Method (FEM), which has been used as a predictive tool in engineering and physical sciences for more than 70 years.
Connor Duffin, PhD student from UWA’s School of Physics, Mathematics and Computing and lead researcher on the project, said it was that the first time a key missing ingredient was included in observed data.