Machining feature recognition of part from STEP file based on ANN

Author

Guan, Xuesong ; Meng, Guangwei ; Yuan, Xiuhua

Author_Institution

Dept. of Mech. Sci. & Eng., Jilin Univ., Changchun, China

Volume

1

fYear

2010

fDate

24-26 Aug. 2010

Firstpage

54

Lastpage

57

Abstract

Recognition of machining features from the solid model of product is the foundation of process planning, manufacturability evaluation and other downstream activities. In this paper, the method of feature recognition from the STEP file is studied. On the basis of analyzing the grammar characteristic, geometric and topological information in STEP file, the lexical analyzer is designed by using the object-oriented method and the related information of features is extracted from the STEP file. The extracted information is converted into AAG and the neural network is used to recognize the features. The implementation of the proposed method shows that method can recognize the machining features from the STEP file effectively.

Keywords

feature extraction; machining; neural nets; object-oriented methods; process planning; solid modelling; AAG; ANN; STEP file; extracted features; machining feature recognition; manufacturability evaluation; neural network; object oriented method; process planning; product solid model; Artificial neural networks; Character recognition; Face; Feature extraction; Grammar; Machining; AAG; ANN; STEP; feature;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on

Conference_Location

Changchun

Print_ISBN

978-1-4244-7957-3

Type

conf

DOI

10.1109/CMCE.2010.5609638

Filename

5609638