Intelligent Navigation Oriented Mechanical Product CAD System Based on Knowledge Fusion
- DOI
- 10.2991/emeit.2012.134How to use a DOI?
- Keywords
- Knowledge Fusion, Intelligent Navigation, Product Design, System Development.
- Abstract
In order to improve intelligent heuristic performance, information support, computational capabilities, control mechanism, and interface self-adaptability of specialized product design systems, mechanical product design system based on knowledge fusion and intelligent navigation is studied systematically. After its product design flow is analyzed, the system is organized in terms of processes that constitute the whole design flow. Then, its information flow, control flow, and design flow are also determined. Based on knowledge fusion, the text of knowledge and information resources is defined that is the key basis and original information for system development. According to the requirements of CAD system development based on intelligent navigation, its architecture is put forward. Taking Oerlikon bevel gear transmission design for example, its functions and performance are illuminated in detail. The system can be applied to typical mechanical product design. While all-purpose CAD systems aim mainly at structure design, modeling and drafting, the developed system directs its attention to more specialized analyses and computation that make up for the deficiency of commercial CAD/CAM systems.
- Copyright
- © 2012, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yan Cao AU - Zhongcan Lin AU - Yonglou Zhao AU - Changzhong Yuan AU - Yunfeng Chen PY - 2012/09 DA - 2012/09 TI - Intelligent Navigation Oriented Mechanical Product CAD System Based on Knowledge Fusion BT - Proceedings of the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT 2012) PB - Atlantis Press SP - 630 EP - 633 SN - 1951-6851 UR - https://doi.org/10.2991/emeit.2012.134 DO - 10.2991/emeit.2012.134 ID - Cao2012/09 ER -