Research on the intelligent generation method of MBD model 3D marking using predefined features
| Autor: | Jing Xuwen, Zhen Wang, Peng Zhao, Jinfeng Liu, Sushan Sheng, Honggen Zhou, Mingming Tang, Gang Wei, Xuwu Cao |
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| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Computer science 05 social sciences General Engineering 02 engineering and technology Work in process Manufacturing engineering Computer Science Applications Metadata 020901 industrial engineering & automation Modeling and Simulation Product (mathematics) 0502 economics and business Global manufacturing Dimension (data warehouse) 050203 business & management |
| Zdroj: | Concurrent Engineering. 28:222-238 |
| ISSN: | 1531-2003 1063-293X |
| DOI: | 10.1177/1063293x20958920 |
| Popis: | Model-based definition (MBD) carries out a technological innovation for global manufacturing, application of MBD technology plays an important supporting in process design, product manufacturing and other development activities, rapid creation of MBD models have become a key to reduce time and cost for enterprises. However, interactive dimensioning method has severely hampered the efficiency of MBD model creation. This paper mainly studies the dimensions intelligent marking method based on the predefined features to solve the rapid modeling problem of MBD model. Firstly, the expression model of dimensions metadata is established based on the feature identifier. Secondly, by establishing an association mechanism between the dimensions and the predefined feature, the “model-feature-dimensioning” association model is formed. Thirdly, through analysis of the dimensioning type, the intelligent dimensioning algorithm process is determined. Moreover, the completeness check of the dimensions is guaranteed during the marking process. Finally, taking the connecting rod and crankshaft of marine diesel as the research object, the effectiveness of this method is verified. |
| Databáze: | OpenAIRE |
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