Automatic Narrow-Deep Feature Recognition for Mould Manufacturing

被引：4

作者：

Chen, Zheng-Ming ^{[1
]}

He, Kun-Jin ^{[1
]}

Liu, Jing ^{[1
]}

机构：

[1] Hohai Univ, Coll Comp Sci & Informat Engn, Changzhou 213022, Peoples R China

来源：

JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY | 2011年 / 26卷 / 03期

基金：

中国国家自然科学基金;

关键词：

narrow-deep feature; feature recognition; face-pair; mould; DESIGN;

D O I：

10.1007/s11390-011-1152-5

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

There usually exist narrow-long-deep areas in mould needed to be machined in special machining. To identify the narrow-deep areas automatically, an automatic narrow-deep feature (NF) recognition method is put forward accordingly. First, the narrow-deep feature is defined innovatively in this field and then feature hint is extracted from the mould by the characteristics of narrow-deep feature. Second, the elementary constituent faces (ECF) of a feature are found on the basis of the feature hint. By means of extending and clipping the ECF, the feature faces are obtained incrementally by geometric reasoning. As a result, basic narrow-deep features (BNF) related are combined heuristically. The proposed NF recognition method provides an intelligent connection between CAD and CAPP for machining narrow-deep areas in mould.

引用

页码：528 / 537

页数：10