Design of Virtual Assembly Sequence Planning System Based on Double Bases Cooperation Mechanism

Abstract:

Currently, the result of automatic assembly sequence planning shows bad practicality of engineering, and the assembly experience is not being fully utilized. For solving the problem, this paper introduces the double bases cooperating mechanism to aid the planning of the assembly process. By standardizing characteristic attribute of parts, the expert knowledge base that based on semantics is established. The expert knowledge base will assist the process of automatic assembly sequence planning. Desktop virtual reality technology is utilized for simulating the process of assembly operations. The status information of operations is fed back to the database for mining and learning, thus this progressive reasoning sequence meets the requirements of engineering, the final result of planning is stored into the database as an index case, it can provides a reference for subsequent similar assembly. Finally, the effectiveness of the method is verified by the example.

• Periodical: Applied Mechanics and Materials (Volume 422)
• Pages: 159-164
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.422.159
• Online since: September 2013
• Authors: Qi Zhang, Hong Fei Zhao, Hai Tao Wang, Xiao Fa Diao
• Keywords: Characteristic Attribute, Double Bases Cooperating, Mining, Optimizing Sequence, Process Planning, Virtual Assembly

References

[1] Kai-jun Zhou, Dong-bo Li, Xi Huang, in: JOURNAL OF MACHINE DESIGN, 2006, 23(2): 29-32.

[2] Ping-jun Xia, Ying-xue Yao, Jiang-sheng Liu, in: JOURNAL OF MECHANICAL ENGINEERING, 2007, 43(4): 44-51.

[3] Pei-lin Yang, Jun Zhu, Xiao-nan Chen, in: JOURNAL OF XI AN JIAOTONG UNIVERSITY, 1999, 33(12): 40-43.

[4] SwA MINATHAN A: IEEE. Transactions on Robotics and Automation, 1996, 12(2): 252-267.

[5] Bing-ru Yang, in: Knowledge Discovery Theory Based on Inner Cognitive Mechanism, edited by National Defence Industry Press, Bei Jing. (2009).

[6] Tao Peng, Shi-qi Li, Chong-hui Zhang, et al, in: Computer Integrated Manufacturing Systems, 2009, 15(9): 1816-1822.

[7] Song-qiao Tao, Zheng-dong Huang, in: Journal of Computer-Aided Design＆Computer Graphics, 2011, 23(2): 290-297.

[8] Kruse Rudolf, Borgelt Christian. Information Mining[J]. International Journal of Approximate Reasoning, 2003, 32: 63-65.

DOI: 10.1016/s0888-613x(02)00088-9

[9] Hong-fei Zhao, Qi Zhang, Fan-tun Su, et al, in: JOURNAL OF PLA UNIVERSITY OF SCIENCE AND TECHNOLOGY, 2012, 13(6): 658-663.

[10] Lei ZHAO, Yuan LI, Jian-feng YU, in: JOURNAL 0F MECHANICAL ENGINEERING, 2011, 47(5): 150-155.

[11] Pei-lin Peng, Guang Chen, Yuan Li, in: China Mechanical Engineering, 2004, 15(23): 2121-2125.