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《Die & Mould Industry》 2005-01
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Reverse Engineering Modeling of the Complicated Curved Surface of the Mould Based on RBF

YU Lin-chong 1,2 ,BAI Guang-chen 1 ,JIAO Jun-ting 1,2 (1.Beihang University,Beijing100083,China; 2.Jiaying University,Meizhou,Guangdong514015,China)  
Reverse engineering design has been conducted on the complicated curved surface of the mould for a sample,radar dome,according to the outline data of the sample and the deformation information measured in the manufacturing process.Radial Basis Function(RBF)neural network has been used to reconstruct the mould cavity surface.RBF neural network has a strong capability of nonlinear approximation,with a high reconstruction precision and high training speed.The output data from RBF neural network are input to the digital curved-surface editor of CATIA to design the model of the mould cavity surface.This method is valuable to practice and generalize.
【CateGory Index】: TP391.72
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