The accurate prediction of strip crown is the precondition shape preset model in hot rolling. In this study, a new hybrid forecasting proposed combination with extreme learning machine (ELM) and industrial data. production data 1780 mm rolling are collected by on-site acquisition system to form dataset. Principal component analysis (PCA) used reduce dimension input for modeling samples. To impr...

hot rolling of a large ring of titanium alloy (lrt) is a highly nonlinear incremental forming process with coupled mechanical and thermal behaviors (mtbs) which significantly affect microstructure and properties of the ring. the feed rate of idle roll and the rotational speed of driver roll have major effects on ovality of the ring. in this paper, the effects of these parameters on the ovality ...

Mathematical model of rolling process is used at cold mill rolling on tandem mills in metallurgy. The model goal is to analyse rolling process according to process data measured on the mill and get immeasurable variables necessary for rolling control and optimal mill pre-set for next rolled coil. The values obtained by model are used as references for superimposed technology controllers (thickn...

In this paper, we propose a method to compare and visualize spectrograms in a low dimensional space using manifold learning. This approach is divided in two steps: a data processing and dimensionality reduction stage and a feature extraction and a visualization stage. The procedure is applied on different types of data from a hot rolling process, with the aim to detect chatter. Results obtained...