Springback Control of Sheet Metal Forming Based on High Dimension Model Representation and Genetic Algorithm

2011 ◽  
Author(s):  
Tang Long ◽  
Wang Hu ◽  
Cai Yong ◽  
Mao Lichen ◽  
Li Guangyao
Keyword(s):  
Genetic Algorithm ◽  
Sheet Metal ◽  
High Dimension ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
Model Representation ◽  
Springback Control

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 .

A Rapid Inverse Method of Material Performance Parameters in Sheet Metal Forming

2012 ◽  
Vol 538-541 ◽  
pp. 1035-1040
Author(s):  
Hua Liu ◽  
Kai Yong Jiang ◽  
Bin Liu ◽  
Ping Lu
Keyword(s):  
Genetic Algorithm ◽  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
Inverse Method ◽  
Orthogonal Experiment ◽  
The Self ◽  
Performance Parameters ◽  
Sensitive Material ◽  
Material Parameters

This paper proposes a fast and convenient method to inverse the material performance parameters in stamping forming. This method effectively combined with the FEM and the genetic algorithm. The reverse objective function was constructed with the thickness which is easily measured from the stamped parts, and then a genetic algorithm was programmed; The thickness-sensitive material performance parameters can be acquired through the orthogonal experiment, then these material parameters can be inversed by the self-programming genetic algorithm. Finally, a stamping case proves this method is precise, rapid and valid.

scholarly journals Springback Prediction of Dieless Forming of AZM120 Sheet Metal Based on Constitutive Model

Metals ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. 780
Author(s):  
Zijin Wu ◽  
Junjie Gong ◽  
Yangdong Chen ◽  
Jinrong Wang ◽  
Yuanyuan Wei ◽  
...  
Keyword(s):  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
Numerical Control ◽  
Theoretical Formula ◽  
Springback Compensation ◽  
Trajectory Model ◽  
Bending Radius ◽  
Springback Control ◽  
Springback Prediction

Springback control is a key issue of the sheet-metal-forming process. In this paper, the mechanism of sheet-metal-forming along the folding trajectory of the computer numerical control (CNC) four-side automatic panel bender was studied, based on the bend-forming springback compensation theory of the power function material model. Firstly, the mechanical property of AZM120 sheet metal standard samples was tested. Then, a theoretical model of springback compensation under plane strain conditions was built, based on the constitutive relationship of the elastic or the elastic-plastic power hardening material. In addition, a sheet-metal-forming trajectory model was designed for sheet metal bending using the vector method. Finally, a laser tracker was used to acquire the folding trajectory, and then the reliability of the trajectory model was verified. On this basis, the influences of geometric and process parameters, such as sheet thickness, forming angle, and bending radius in springback control, were studied according to the theoretical formula and verified by experiments. The proposed method is generally applicable to operation conditions where the bending radius ranges between 1.5 and 6.0 mm and plate thickness ranges from 0.8 to 2.5 mm, and the achieved overall accuracy was more than 89%.

ИССЛЕДОВАНИЕ ТОЧНОСТИ ДЕТАЛЕЙ, ПОЛУЧАЕМЫХ ПРИ РАЗДЕЛИТЕЛЬНЫХ ОПЕРАЦИЯХ В ПЕРЕНАЛАЖИВАЕМЫХ ШТАМПАХ

2018 ◽  
pp. 52-63
Author(s):  
Е. А. Фролов ◽  
В. В. Агарков ◽  
С. И. Кравченко ◽  
С. Г. Ясько
Keyword(s):  
Sheet Metal ◽  
Sheet Metal Forming ◽  
Metal Forming ◽  
Balance Method ◽  
Experiment Planning ◽  
Practical Recommendations

To determine the accuracy of the readjustable punches for separating operations (perforation + punching out) of sheet-metal forming, the accuracy parameters were analyzed using the random balance method using the method of experiment planning. Analytical dependencies are obtained to determine the values of deviation of the outer and inner contour dimensions of perforated and punched out sheet parts. From the dependencies obtained, it is possible to estimate and predict the value of deviation in the dimensions of the resulting part at any time during the operation of the punch. Practical recommendations on the calculation of the actuating dimensions of the working elements (stamping punch, matrix) of readjustable punches are offered.

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