Recognising 2.5D manufacturing feature using neural network
by Xiaojun Liu, Zhonghua Ni, Xiaoli Qiu, Tingyu Liu
International Journal of Computer Applications in Technology (IJCAT), Vol. 39, No. 1/2/3, 2010

Abstract: This study develops a neural network based methodology for recognising Manufacturing Feature (MF) using the Boundary representation (B-rep) information. The methodology is capable of recognising both basic MF (including standard MF and non-standard MF) and interacting MF. Firstly, both the edges' convex concave attribute and the edges' position (whether an edge belongs to the inner edge loop or outer edge loop), which reflects the edges' characteristics and the relationship between the bottom profile and its adjacent faces, were analysed to define the input vector for the neural network. Based on this, a BP neural network with a single hidden layer which contains ten neurons was obtained. The basic MF is divided into four groups, and can be recognised easily using the neural network. For the interacting MFs, a basic MF is recognised firstly, the bottom profile for the interactive MF is updated, and the interactive MF can be recognised.

Online publication date: Wed, 18-Aug-2010

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computer Applications in Technology (IJCAT):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email