Multi-objective Optimization of Sheet Metal Forming Die Using Genetic Algorithm Coupled with RSM and FEA

2013 ◽  
Vol 13 (6) ◽  
pp. 771-778 ◽  
Author(s):  
Parviz Kahhal ◽  
Seyed Yousef Ahmadi Brooghani ◽  
Hamed Deilami Azodi
Keyword(s):  
Genetic Algorithm ◽  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
Multi Objective Optimization ◽  
Multi Objective

Intelligent Multi-Objective Optimization for High Strength Sheet Metal Forming Process of Body Part

2012 ◽  
Vol 455-456 ◽  
pp. 1515-1520
Author(s):  
Zhi Guo An ◽  
Yu Zhang
Keyword(s):  
Genetic Algorithm ◽  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
High Strength ◽  
Body Part ◽  
Multi Objective Optimization ◽  
Forming Process ◽  
Multi Objective ◽  
Metal Forming Process

In high strength sheet metal forming process of body part, crack, wrinkle and severe thinning are the main faults usually. The degree of the faults varies with the change of input process parameters. Optimization for sheet metal forming process of body part is often considered as a multi-objective problem. Design of experiment method and genetic algorithm are often combined together to cope with this multi-objective optimization problem. High strength steel sheet metal forming process is relatively complex and difficult. An intelligent multi-objective optimization strategy for high strength sheet metal forming process was suggested based on genetic algorithm. Latin Hypercube Sampling method was introduced to design the rational experimental samples; the objective function was defined based on crack factor, wrinkle factor and severe thinning factor; the accurate response surface model for sheet metal forming problem was built; Multi-objective genetic algorithm was adopted in optimization and Pareto solution was selected. The strategy was applied to analyze a rocher. The result has proved this strategy suitable for optimization design of sheet metal forming process .

Multi-objective optimization of sheet metal forming die using FEA coupled with RSM

2013 ◽  
Vol 27 (12) ◽  
pp. 3835-3842 ◽  
Author(s):  
Parviz Kahhal ◽  
Seyed Yousef Ahmadi Brooghani ◽  
Hamed Deilami Azodi
Keyword(s):  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
Multi Objective Optimization ◽  
Multi Objective

Fuzzy Multi-Objective Optimization for Die Structures Design in Sheet Metal Forming

2012 ◽  
Vol 538-541 ◽  
pp. 2712-2717 ◽  
Author(s):  
Qi Xin Sun ◽  
Ping Yuan Xi ◽  
Ren Jian Zhang
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
Optimization Technique ◽  
Structure Design ◽  
Multi Objective Optimization ◽  
Element Analysis ◽  
Multi Objective

Abstract: Finite element analysis and fuzzy multi-objective optimization technique have been integrated to solve the die structure design of sheet metal forming by transforming fuzzy multi-objective problem into a normal optimization problem. A mathematical model of fuzzy optimization for bending die was established. A fuzzy goal set was constructed. The fuzziness of multi-objective functions and constraints were defined. The optimal solution and optimal constraint value of individual objective function in the feasible field were found using the genetic algorithms. An electronic part bending case shows that this approach is more effective and accurate than traditional finite element analysis method and the ‘trial and error’ procedure.

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