DocumentCode :
2607992
Title :
Study on Digitized Inspecting Technique for Complex Casting Part Based on Reverse Engineering
Author :
Ligang, Qu ; Xiaoyu, Gu
Author_Institution :
Sch. of Mechatron. Eng., Shenyang Inst. of Aeronaut. Eng., Shenyang, China
Volume :
4
fYear :
2009
fDate :
21-22 May 2009
Firstpage :
19
Lastpage :
22
Abstract :
A digitized inspecting technique based on reverse engineering and its application workflow are put forward for measuring the complex part. It is studied on the key technologies, such as a synthetic method of spot cloud data processing based on Uniformly Sampling and Chordal Deviation Sampling, alignment with spot-cloud and CAD model of the part taking the three datum-planes as reference feature. The fabricating errors of casting part with complex structure is inspected fleetly and accurately by means of this technique. The technique can be proved as a new computer aided inspecting (CAI) technology, which can be used to solve the technical bottleneck for measuring complex part. The precision and the speed of digitized inspection are observably improved, furthermore, it is more significant for realization of automated, flexible,and digitized inspecting approach.
Keywords :
CAD; casting; inspection; production engineering computing; reverse engineering; CAD model; chordal deviation sampling; complex casting part; computer aided inspecting technology; digitized inspecting technique; manufacturing processing; reverse engineering; spot cloud data processing; uniformly sampling; Automation; Casting; Clouds; Computer aided instruction; Data processing; Flowcharts; Inspection; Reverse engineering; Sampling methods; Velocity measurement; Casting part with complex structure; Digitized inspection; Feature alignment; Reverse engineering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Computing Science, 2009. ICIC '09. Second International Conference on
Conference_Location :
Manchester
Print_ISBN :
978-0-7695-3634-7
Type :
conf
DOI :
10.1109/ICIC.2009.313
Filename :
5169113
Link To Document :
بازگشت