abstract

• The accurate prediction of the spring-back effect is a major issue in the design of metal forming tools and operations. A bad prediction of the spring-back effect will cause geometrical and quality deviations from the designed part, together with the associated cost impacts. In this paper the analysis and evaluation of the spring-back effect of steel sheet metal under bending operations is presented. The aim of the work is twofold: 1) to assess how accurate the spring-back effect can be predicted by the finite element method (FEM) and theoretical approaches, and 2) to evaluate the effect of process parameters on the springback effect. To accomplish this, two case studies corresponding to L-bending and V-bending operations of steel sheet metal were selected. The spring-back effect for these case studies was then analysed and estimated using theoretical approaches and FEM. Several values of the process parameters were also considered in the evaluation. Finally, the results were compared with the experimental values and the prediction error for each approach was estimated. The results have suggested that the FEM approach can predict with accuracy the spring-back effect; however, the solution is very sensitive to the simulation and process parameters. Copyright © 2019 ASME.

authors

• Medellín Castillo Hugo Iván
• Pérez Martínez O.

publication date

• 2019-01-01

funding provided via

• Consejo Nacional de Ciencia y Tecnología, CONACYT  Grant

published in

• ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)  Proceedings

keywords

• Finite Element Method (FEM); L-bending; Sheet metal; Spring-back effect; V-bending Bending (forming); Finite element method; Forecasting; Metal forming; Metals; Sheet metal; Accurate prediction; Analysis and evaluation; Experimental values; L-bending; Process parameters; Spring back; Theoretical approach; V-bending; Steel sheet

Digital Object Identifier (DOI)

• 10.1115/IMECE2019-11422

start page

end page

volume

• 2A-2019