Narrow-deep Feature Recognition in Mould

摘要：

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.

作者: Kunjin He Zhengming Chen Jing Liu

作者单位: College of Computer Science and Information Engineering, HoHai University, ChangZhou,213022, China

会议类型: 国际会议

会议名称: 11th IEEE International Conference on Computer-Aided Design and Computer Graphics(第11届IEEE国际计算机辅助设计与图形学学术会议 IEEE CAD/GRAPHICS 2009)

会议地点: 黄山

会议语种:英文

页码: 367-370

在线出版日期: 2009-08-19（万方平台首次上网日期，不代表论文的发表时间）