DocumentCode :
550642
Title :
A method of ultrasonic detection for sculptured surface not accurately fixtured
Author :
Zhang Yang ; Zhou Xiao-Jun ; Yang, Zhang
Author_Institution :
Dept. of Mech. Eng., Zhejiang Univ., Hangzhou, China
fYear :
2011
fDate :
22-24 July 2011
Firstpage :
4475
Lastpage :
4479
Abstract :
The small rigid displacement exists between each complex curved scanning workpiece which has the same shape but is not accurately fixtured. It´s a repeated and time-consuming job to generate the scanning path. To solve this problem, a new method was proposed. The first workpiece surface was sampled and the initial surface model was generated by surface reconstruction. Then, the profiling measurement was used to get a more accurate CAD model as the template. In the case of the next scanning part model was known but its localization was unknown, an improved workpiece localization algorithm using the geometric properties of curved surface for points matching was applied to get the transformation relations between the workpiece and template. Using these relations, it was easy to generate the scanning path quickly by the template. Simulation and experiment results indicate that after getting some reasonable measurement points of the scanning part, this method can provide accurate scanning path efficiently , the repeated processes of getting CAD model can be avoided, the testing time of each workpiece can be saved greatly.
Keywords :
CAD; curve fitting; image reconstruction; pattern matching; surface reconstruction; ultrasonic devices; CAD model; profiling measurement; scanning part model; sculptured surface; surface reconstruction; ultrasonic detection method; workpiece localization algorithm; Design automation; Fitting; Iterative closest point algorithm; Shape; Solid modeling; Surface fitting; Surface reconstruction; Sculptured surface; Template; Ultrasonic testing; Workpiece localization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
ISSN :
1934-1768
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768
Type :
conf
Filename :
6000981
Link To Document :
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