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

Pending Publication Date: 2020-03-24
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology

[0004] In view of the above defects or improvement needs of the prior art, the present invention provides a casting three-dimensional feature extraction and similarity measurement method combined with process parameters, the purpose of which is to perform preliminary matching between the casting model and the model in the model library to obtain a preliminary matching model, and then combine the weighted distance values ​​calculated by the three casting parameters of overall modulus, average wall thickness and maximum wall thickness to sort the preliminary matching model again, and select the final matching model, which solves the change of model scale by the existing matching method Defects that are insensitive and cannot be distinguished by individual models, and the matching effect is good

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  • Casting three-dimensional feature extraction and similarity measurement method in combination with process parameters
  • Casting three-dimensional feature extraction and similarity measurement method in combination with process parameters
  • Casting three-dimensional feature extraction and similarity measurement method in combination with process parameters

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specific Embodiment

[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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Abstract

The invention belongs to the field of computer graphics and statistics, and particularly discloses a casting three-dimensional feature extraction and similarity measurement method in combination withprocess parameters. The casting three-dimensional feature extraction and similarity measurement method comprises the following steps: S1, performing preliminary matching on a to-be-matched casting model and models in a model library so as to select a plurality of models from the model library as preliminary matching models; S2, obtaining the overall modulus, the average wall thickness and the maximum wall thickness of each preliminary matching model and the to-be-matched casting model, and calculating the overall modulus distance value, the average wall thickness distance value and the maximumwall thickness distance value of each preliminary matching model and the to-be-matched casting model respectively; and S3, calculating a weighted distance value between each preliminary matching model and the to-be-matched casting model, and sorting the preliminary matching models again, thereby determining a final matching model. The casting three-dimensional feature extraction and similarity measurement method completes similarity measurement of the casting model in combination with casting process parameters, overcomes the defects that an existing matching method is insensitive to model scale changes and individual models cannot be distinguished, and is good at the matching effect.

Description

technical field [0001] The invention belongs to the fields of computer graphics and statistics, and more specifically relates to a casting three-dimensional feature extraction and similarity measurement method combined with process parameters. Background technique [0002] Foundry process design is the core technology of foundry enterprises, and the development of foundry enterprises is inseparable from the improvement of casting process design level and efficiency. In general, foundry technicians use design manuals to determine the final process of new products through manual experience and "trial and error method". This method of relying on designers to re-design products has a lot of repetitive work. For foundry companies in the front line of production practice, the company's database has a large number of professional materials such as design materials, historical processes, and 3D casting models, which is a wealth of historical experience and achievements. However, wh...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/653G06F18/22
Inventor 计效园张志鹏周建新殷亚军沈旭
Owner HUAZHONG UNIV OF SCI & TECH
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