Intensive cooling technology is widely utilized in the production of high-strength hot-rolled steel strip. However, intensive cooling at high cooling rate may cause stress heterogeneity on a steel strip, which further generates great residual stress and influences steel strip shape. In this study, a three-dimensional finite element (FE) model of high-strength low-alloy steel strip on the run-out table coupled with heat transfer, phase transformation, and strain/stress is developed by ABAQUS software. To enhance modeling precision, several experiments are conducted, such as uniaxial tensile test at multiple temperatures, dynamic continuous cooling transformation, and scanning electron microscopy, to determine the material properties and boundary conditions of the FE model. Four new models are established based on this model to reduce the residual stress of strip by modifying the initial and boundary conditions. Results show that reducing the initial transverse temperature difference is the most effective in reducing residual stress, followed by sparse cooling, edge masking, and posterior cooling.
Transverse bending, a common shape defect of hot-rolled strips, is generally controlled based on experience, which lacks quantitative study. This leads to some production problems such as difficult feeding and surface scratching in subsequent processes. Based on the principle of elastic mechanics, the mechanism of transverse bending in the process of uncoiling is studied and an analytical model is established. Then the relationship between transverse bending and influence factors, including the curvature radius of longitudinal bending, strip width and strip thickness, is obtained. The study indicates that the transverse bending is caused by longitudinal bending before uncoiling. And the strip width and the curvature radius of longitudinal bending have a great influence on the transverse bending but the strip thickness has little influence. The transverse bending diminishes nonlinearly with the increase of curvature radius of longitudinal bending and increases nonlinearly with the increase of strip width.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.