SPRING BACK PREDICTION OF SHEET METAL IN DEEP DRAWING PROCESS
Journal: International Journal of Mechanical Engineering and Technology(IJMET) (Vol.6, No. 12)Publication Date: 2015-12-28
Authors : Sachin S Chaudhari; Navneet K Patil;
Page : 9-17
Keywords : Deep Drawing; HYPERFORM; Taguchi Method; Orthogonal Array; S/N Ratio; ANOVA;
Abstract
Spring back is one of the most significant phenomenon that affect the accurateness of the sheet metal parts. In order to obtain fixed tolerances for the formed parts it is highly recommended to use such process parameters/tool geometry that allow a considerably diminishing of the spring back amount. A Finite Element (FE) model is developed for the 2- D numerical simulation of sheet metal deep drawing process (Parametric Analysis) by using HYPERFORM with the appropriate material properties (anisotropic material) and simplifies boundary conditions. In this paper the effects of diverse deep drawing process parameters were determined by FEA study with the use of Design of Experiments (Taguchi) Method and analysis of variance (ANOVA) using Minitab software for CRDQ steel in order to reduce the amount of spring back. Ultimately confirmation test shows improvement in spring back. Improvement in spring back quality characteristics of weld joint.
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Last modified: 2016-04-28 20:50:57