Analysis and optimization of springback during the V-bending of hot-rolled high-strength steels (JSH440)

Abstract

Springback in hot-rolled, high tensile strength sheet-metals (JSH440) are measured to evaluate the influence of blank geometry and process parameters over the springback outcomes. Sheet-metal thickness, width, bend angle, applied load and holding time are considered as controllable factors, whereas, other factors are kept constant. Analysis of Variance (ANOVA) and sensitivity analysis Are applied to observe the significance of controllable factors over the springback magnitude. Analytical models considering all the controllable parameters have been developed to predict the springback in JSH440 sheet-metals, whereas, simplified analytical models based on bend angles are also developed for different geometries of sheet-metals. Finally, the Genetic Algorithm has been applied for the determination of optimal applied load and holding times are determined for the minimum springback in different geometries of the JSH440 steel-sheets. This research can be used in the industry to predict the springback, optimize the blank geometries and process parameters for the minimum springback in JSH440 sheet-metals.