DocumentCode :
3361077
Title :
Research on constraint-based model reconstruction of structural parts
Author :
Ye, Tieli ; Gao, Li ; An, Luling ; Wu, Min
Author_Institution :
Coll. of Mech. & Electron. Eng., Shandong Univ. of Sci. & Technol., Qingdao, China
fYear :
2009
fDate :
9-12 Aug. 2009
Firstpage :
1612
Lastpage :
1617
Abstract :
Model reconstruction is the core of reverse engineering. The current method for surface model reconstruction is not effective for most structural parts whose surfaces are often quadratic and have mutual constraints. This paper proposes a method for conducting constraint-based synchronous fitting on multiple surfaces. Firstly the measured data after segmentation are fitted respectively on the basis of algebraic distance, the types of the quadratic surfaces are recognized and their geometric parameters are acquired. Then the constraint relations between surfaces are extracted out. In the end synchronous fitting is carried out through constraint optimization method. By the method proposed in this paper the constraints among surfaces can be maintained and the original design intents incarnated.
Keywords :
constraint theory; optimisation; reverse engineering; structural engineering; surface fitting; algebraic distance; constraint optimization method; constraint-based model reconstruction; constraint-based synchronous fitting; data segmentation; reverse engineering; structural parts; surface model reconstruction; Automation; Constraint optimization; Educational institutions; Equations; Extraterrestrial measurements; Mechatronics; Reverse engineering; Solid modeling; Surface fitting; Surface reconstruction; constraint; fitting; model reconstruction; reverse engineering; structural part;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation, 2009. ICMA 2009. International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-2692-8
Electronic_ISBN :
978-1-4244-2693-5
Type :
conf
DOI :
10.1109/ICMA.2009.5246106
Filename :
5246106
Link To Document :
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