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Springback for multi-curvature part is a very important factor influencing the quality of sheet metal forming. Accurate calculation and controlling of springback are essential for the design of tools for sheet metal forming. In this paper, a springback quick compensation model is proposed to solve the problem of springback, which is based on fuzzy optimization improved GA-ANN algorithm and sheet metal...
Accurate springback prediction and control is essential for sheet metal forming. In this paper, back propagation (BP) neural network and genetic algorithm (GA) was introduced to predict springback of complex sheet metal forming parts. GA was used to optimize the weights of BP neural network and the results were compared with those of traditional BP neural network and regression model. The comparison...
The paper presents a process optimal control scheme of sheet metal forming springback based on evolutionary strategy. The springback prediction model is established on orthogonal test analysis. The evolutionary strategy based on linear transformation fitness function is used as optimization algorithm, the smallest sheet metal forming springback as the goal, to complete the process parameter optimization...
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