Blank Optimization of Sheet Metal Forming Based on Response Surface Methodology

2011 ◽  
Vol 189-193 ◽  
pp. 2851-2855
Author(s):  
Zhi Guo An ◽  
Yu Zhang
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
Least Square ◽  
Thickness Variation ◽  
Optimization Strategy ◽  
Forming Process ◽  
Pareto Solution

The thickness variation of drawing part is usually very complicated, which causes the accurate calculation of the surface area of drawing part to be very difficult. Blank optimization of sheet metal forming is often considered as a multi-objective problem. A blank optimization strategy of sheet metal forming process was suggested based on Response Surface Methodology (RSM). Latin Hypercube Sampling (LHS) method was introduced to design the rational experimental samples; the objective function was defined based on crack factor and wrinkle factor; the accurate response surface for sheet metal forming problem was built by Least Square Method; Genetic Algorithm (GA) was adopted in optimization and Pareto solution was selected. The strategy was applied in blank optimization of an auto-part, this method was proved suitable for blank optimization of sheet metal forming.

Multi-Objective Optimization for High Strength Steel Sheet Metal Forming Process Based on Response Surface Methodology

2010 ◽  
Vol 154-155 ◽  
pp. 1223-1227 ◽  
Author(s):  
Zhi Guo An ◽  
Yu Zhang
Keyword(s):  
Response Surface Methodology ◽  
Response Surface ◽  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
High Strength Steel ◽  
High Strength ◽  
Forming Process ◽  
Multi Objective ◽  
Metal Forming Process

In sheet metal forming process, the input process parameters scatter and considerably result in unreliablity in practical production. Optimization for sheet metal forming process is often considered as a multi-objective problem. An optimizition strategy for high strength steel (HSS) sheet metal forming process was suggested based on response surface methodology (RSM). Latin Hypercube Sampling (LHS) method was introduced to design the rational experimental samples; the objective function was defined based on cracking factor wrinkle factor and severe thinning factor; the accurate response surface for sheet metal forming problem was built by Least Square Method; Multi-objective Genetic Algorithm(MOGA) was adoped in optimization and Pareto solution was selected. The strategy was applied to analyze a HSS auto-part, the result has proved this method suitable for optimization design of HSS sheet metal forming process.

Finite Element Predictions for a Cold Sheet Metal Forming Process Using Tetrahedral Mini-Elements

2011 ◽  
Author(s):  
Min-Cheol Lee ◽  
Sang-Hyun Sim ◽  
Jae-Gun Eom ◽  
Man-Soo Joun ◽  
Wan-Jin Chung
Keyword(s):  
Finite Element ◽  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
Three Dimensional ◽  
Thickness Variation ◽  
Forming Process ◽  
Rigid Plastic ◽  
Element Mesh ◽  
Metal Forming Process

In this paper, finite element prediction of a cold sheet metal forming process is investigated using solid elements. A three-dimensional rigid-plastic finite element method with conventional linear tetrahedral MINI-elements [1, 2] is employed. This technique has traditionally been used for bulk metal forming simulations. Both single- and double-layer finite element mesh systems are studied, with particular attention to their effect on the deformed shape of the workpiece and thickness variation. The procedure is applied to the well-known problem of the NUMISHEET93 international benchmark. The resulting predictions are compared with experimental observations found in the literature, and good agreement is noted.

NUMERICAL OPTIMIZATION OF SHEET METAL FORMING PROCESS USING NEW FRACTURE CRITERION

2008 ◽  
Vol 22 (31n32) ◽  
pp. 5692-5698 ◽  
Author(s):  
A. HIRAHARA ◽  
R. HINO ◽  
F. YOSHIDA ◽  
V. V. TOROPOV
Keyword(s):  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
Numerical Optimization ◽  
Fracture Criterion ◽  
Optimization Strategy ◽  
Forming Process ◽  
Optimization System ◽  
Blank Design ◽  
Metal Forming Process

A numerical optimization system for sheet metal forming process has been developed based on a combination of response-surface-based optimization strategy with finite element simulation. The most important feature of the optimization system is introduction of a new fracture criterion to predict fracture limit under non-proportional deformation. In addition, a sheet-edge fracture criterion is also introduced to predict fracture limit under stretch-flanging deformation. The numerical optimization system is developed using the fracture criteria as accurate fracture constraints to avoid sheet breakage. The developed optimization system is applied to the optimum blank design for a square-cup deep drawing process of perforated blank. The optimum blank design, which minimizes the amount of material and avoids the sheet fracture, is obtained successfully. The effect of definition of fracture constraints on optimization calculation is also discussed.

scholarly journals Laser Welding of High-strength Aluminium Alloys for the Sheet Metal Forming Process

Procedia CIRP ◽  
2014 ◽  
Vol 18 ◽  
pp. 203-208 ◽  
Author(s):  
J. Enz ◽  
S. Riekehr ◽  
V. Ventzke ◽  
N. Sotirov ◽  
N. Kashaev
Keyword(s):  
Laser Welding ◽  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
Aluminium Alloys ◽  
High Strength ◽  
Forming Process ◽  
Metal Forming Process
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