Casting three-dimensional feature extraction and similarity measurement method in combination with process parameters
A similarity measurement and three-dimensional feature technology, which is applied in the field of casting three-dimensional feature extraction and similarity measurement combined with process parameters, can solve the problems of indistinguishable individual models of model scale and good matching effect, so as to avoid multiple contributions and achieve good matching effect. , the effect of good stability
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[0066] The D2 shape distribution algorithm, the casting process parameters and the D2 shape distribution algorithm are used to extract the features of the 3D model, and the Euclidean distance is used to measure the similarity; the number of distance values in S115 is n=1×10 6 , the dimension N=128 of the frequency distribution histogram in S116, the number M=5 of the initial matching model in S123, the preset weight w in S3 1 =0.8,w 2 =w 3 = 0.1.
[0067] Such as Figure 4 As shown, it is the top-5 initial matching result obtained only by using the D2 shape distribution algorithm; as Figure 5 As shown, it is the optimal matching result obtained by combining the casting process parameters and the D2 shape distribution algorithm; it can be seen that even in the initial matching result, the D2 operator does not have a high degree of discrimination for the casting model, and cannot distinguish between No. 2 and No. 3 models , but as long as the target model 3 is in the top-...
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