| Issue |
MATEC Web Conf.
Volume 139, 2017
2017 3rd International Conference on Mechanical, Electronic and Information Technology Engineering (ICMITE 2017)
|
|
|---|---|---|
| Article Number | 00017 | |
| Number of page(s) | 5 | |
| DOI | https://doi.org/10.1051/matecconf/201713900017 | |
| Published online | 05 December 2017 | |
MBD Attributes Template Method of Aeronautical Products
1 Hongdu Group Company of Aeronautical Industry, 330024 Nanchang, China
2 School of Mechanical Engineering and Automation, Beihang Uiversity, 100191 Beijing, China
* Corresponding author: ryukeiko@buaa.edu.cn
Model-based Definition (MBD) expresses the technical information of traditional engineering drawings in a three-dimensional environment. The formed MBD dataset completely express the product information, what changed the product development model and improved product development efficiency. However, the integrity of the MBD dataset is difficult to guarantee and the efficiency to build it is low. In order to solve this problem, this paper proposes to use MBD attributes template method to solve the generation problem of attributes information in MBD dataset. Firstly, the concept and connotation of MBD attributes and MBD attributes template are described. Secondly, the type of aeronautical products and MBD attributes are combed to form MBD attributes template for different types of products. Thirdly, the process of MBD attributes template method is proposed. Finally, the validity of the proposed method is verified by the MBD attributes template construction and attributes values filling of a forging part. The results show that MBD attributes template method not only improves the efficiency of MBD attributes generation, but also improves the integrity and accuracy of MBD dataset.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.