Analytical and Numerical Prediction of Springback of SS/Al-Alloy Cladded Sheet in V-Bending

Abstract

The present work deals with the development of an analytical model incorporating the effects of anisotropy and strain hardening to predict the springback in V-bending of 2-ply sheet metal using a punch profile radius of 15mm and included bend angle of 90°. The 2-ply sheet composed of layers of AA1050 and SS430 is characterized for its tensile properties to be used in analytical and numerical models for prediction of springback. To study the effect of each layer during bending operation, two possible cases of sheet placements during bending and springback are studied i.e. in the first case, the inner layer is of AA1050 while the SS430 layer is the outer layer whereas in the second case it is opposite. In all the cases of springback experiments when the outer layer is of SS430, the springback values are higher than the values obtained with the specimens when the inner layer is of SS430. This could be attributed to the higher tensile strength of the SS layer and the higher bending radius experienced by it. The springback behaviours are also analyzed by simulations using Hill's anisotropic yield criterion in ABAQUS software. The springback results obtained by simulations and analytical models are in good agreement with the results obtained by experiments.

Experimental and numerical investigations of springback and residual stresses in bending of a three-ply clad sheet

“…The present research work is an extension of the study done by Sharma et al 15 in the development of an analytical model to predict springback incorporating the effects of strain hardening and anisotropy in V-bending of a two-ply clad sheet in which the two layers of different materials and thicknesses are arranged in parallel. 15 Whereas, in the present work, the existing analytical model is redeveloped accordingly to evaluate the springback behaviour of a three-ply cladded sheet metal, comprising of layers of SS430 and SS304 sandwiched with a layer of AA1050.…”

“…The present work is an extension of the study done by Sharma et al 15 in the development of an analytical model to predict springback incorporating the effects of strain hardening and anisotropy in bending of a two-ply clad sheet. In the present work, springback behaviour of a three-ply clad sheet metal, comprising of SS430 and SS304 sandwiched with a sheet of AA1050 is investigated by using analytical, experimental and simulation techniques.…”

“…The friction between the punch and blank interface is taken as 0.05. 15 The bending specimens are placed on the die in two different ways, in the first method the punch touches the SS430 layer of the clad sheet then SS430 layer is treated as inner layer and SS304 is treated as outer layer. In the second method the punch touches the SS304 layer of the three-ply clad sheet then SS304 layer is treated as inner layer and SS430 is treated as outer layer.…”

Research on the Curvature Prediction Method of Profile Roll Bending Based on Machine Learning

“…Using each centimeter of profile length as a data point of the sequence, the sum of the raw point data in this interval is summed and averaged as the value of the current data point. Assuming that the length of a data sequence after discretization is n, the format of the final data is shown in Equation (7):…”

“…The simulation results of the variable modulus of elasticity were closer to the experimental results, which proves the importance of considering the change in elastic modulus of unloading in the numerical simulation of manganese steel. Sharma et al [7] established a springback prediction analysis model combining the effects of anisotropy and strain hardening, and simulated the springback behavior of double-layer metal plates by using the Hill anisotropic yield criterion in Abaqus software. Liu et al [8] discussed the resilience energy of UHSS in cold forming through simulation and experimental methods.…”