Title :
Narrow-deep feature recognition in mould
Author :
He, Kunjin ; Chen, Zhengming ; Liu, Jing
Author_Institution :
Coll. of Comput. Sci. & Inf. Eng., HoHai Univ., ChangZhou, China
Abstract :
There usually exist narrow-deep areas in mould need to be machined in special machining. To identify the narrow-deep areas automatically, a narrow-deep feature (NF) recognition method in mould is proposed. Firstly, feature hint is extracted from the mould by making use of the characteristic of narrow-deep feature. Then the elementary constituent faces (ECF) of a feature are found starting from the feature hint. The ECF is extended, clipped and the feature faces are obtained incrementally by geometric reasoning. Finally, basic narrow-deep features (BNF) related are combined heuristically. The proposed NF recognition approach provides an intelligent connection between CAD and CAPP for machining narrow-deep areas in mould in special machining.
Keywords :
CAD; feature extraction; machining; mechanical engineering computing; CAD; CAPP; feature extraction; narrow-deep feature recognition; special machining; Computer aided manufacturing; Computer numerical control; Design automation; Electrodes; Helium; Machine intelligence; Machining; Milling; Noise measurement; Thin wall structures;
Conference_Titel :
Computer-Aided Design and Computer Graphics, 2009. CAD/Graphics '09. 11th IEEE International Conference on
Conference_Location :
Huangshan
Print_ISBN :
978-1-4244-3699-6
Electronic_ISBN :
978-1-4244-3701-6
DOI :
10.1109/CADCG.2009.5246874
