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Abstract：
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In the four basic factors on the intellectualization of sheet metal forming,the real-time identification of the material performance parameter has a very important position.To improve accuracy and efficiency of the real-time identification,during the process of the intelligence control of wide V-shaped free bending,the real-time identification of the material performance parameter neural network model based on LM algorithm has been used based on the characteristic of V-shaped wide free bending.The training result proves that the converge accuracy and speed of the neutral network have been evidently boosted,compared with the improved neural network based on BP algorithm,it paves the way for the intelligent control of sheet metal forming.
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Funds：
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河北省自然科学基金资助项目(501215)
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AuthorIntro：
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Reference：
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