Optimization of Initial Blank Shape for Minimizing the Trimming Process in Hot Stamping of T-Shaped Parts
- 1 Downloads
Blank optimization in stamping is a way to reduce the cost of unnecessary material consumption or subsequent trimming operations by acquiring the final target part in a single forming process. There have been many studies on blank optimization in room temperature stamping, but few studies have yet been conducted in hot stamping. In this study, a blank shape optimization was conducted for a T-shaped part simulating a body center pillar. A finite element analysis (FEA) for the hot stamping process was performed using an appropriately assumed initial blank shape, and the blank shape was updated based on the shape error between the outline of the deformed blank obtained from the FEA and that of the target part. The shape error was calculated by applying the modified radius vector method. Hot stamping test was carried out using the optimal shaped blank predicted by the FEA. It was confirmed that the outline of the deformed blank obtained by the actual test was very close to the outline of the target part. From the results of this study, it can be seen that the blank optimum design technique at room temperature stamping can be applied to the case in hot stamping.
KeywordsOptimal blank design Hot stamping T-shaped part Die quenching Finite element analysis
position vector of the node ‘m’ located at the boundary of the blank before deformation
position vector of the node ‘m’ located at the boundary of the blank after final deformation.
position vector of the point ‘p’ located at the contour of the target shape
inward unit normal vector to the contour at the node ‘m’
Unable to display preview. Download preview PDF.
- 9.Scientific Forming Technologies Corporation, “DEFORM-3D,” https://www.deform.com/products/deform-3d/(Accessed 9 APR 2018)Google Scholar
- 10.Sente Software Ltd., “JMatPro,” https://www.sentesoftware.co.uk/jmatpro (Accessed 9 APR 2018)Google Scholar
- 14.Johnson, W. A. and Mehl, R. F., “Reaction Kinetics in Processes of Nucleation and Growth,” Transactions of the Metallurgical Society of AIME, vol. 135, pp. 416–442, 1939.Google Scholar
- 15.Kolmogorov, A. N., “On the Statistical Theory of the Crystallization of Metals,” Bulletin of the Academy of Sciences of the USSR, Mathematics Series, vol. 1, pp. 355–359, 1937.Google Scholar
- 18.Hireholi, S., Shashishekhar, K., and Milton, S. G., “Experimental Determination of Heat Transfer Coefficient by Natural Convection for a Commercially Available Heat Sink Used for Cooling of Electronic Chips,” International Journal of Mechanical and Industrial Engineering, vol. 3, no. 1, pp. 43–45, 2013.Google Scholar