DocumentCode
2943948
Title
Improved Fairing Algorithm with Optimized Modification Amount of Cloud Data in Reverse Engineering
Author
Meng, N. ; Zhou, Y.Q. ; Yang, H.J. ; Qu, J. ; Chen, X.L.
Author_Institution
Sch. of Mech. Eng., Shandong Univ., Jinan, China
Volume
3
fYear
2009
fDate
11-12 April 2009
Firstpage
230
Lastpage
233
Abstract
In reverse engineering, noise needs to be processed, which is in existence among measured data. The result data processed directly influences the reconstructed curve and surface precision. In order to acquire point cloud data which can truly reflect the original design view, an improved fairing algorithm with optimized modification amount is proposed. The fairing process includes two blocks: rough fairing and fine fairing. Bad data is identified according to the sign of curvature and its one-order difference respectively. The proposed direction of each modified point is along the positive or negative way of G which points to the trianglepsilas center, and it is located according to the energy function equation directly. The modified distance is first set an initial value, then it searches the optimized modification amount by a certain step according to the equation. The search is terminated until the energy function equation satisfies the minimum value within a certain value. The modified algorithm can meet the faired requirement of curve and surface reconstruction, which is proved by some examples, and it is good for preserving the original shape.
Keywords
CAD; data handling; reverse engineering; curve reconstruction; energy function equation; fairing algorithm; point cloud data; reverse engineering; surface precision; surface reconstruction; Algorithm design and analysis; Clouds; Design optimization; Equations; Noise measurement; Reverse engineering; Rough surfaces; Shape; Surface reconstruction; Surface roughness;
fLanguage
English
Publisher
ieee
Conference_Titel
Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
Conference_Location
Zhangjiajie, Hunan
Print_ISBN
978-0-7695-3583-8
Type
conf
DOI
10.1109/ICMTMA.2009.570
Filename
5203189
Link To Document