Processing of 3D sheet metal components in STEP AP-203 format. Part I: feature recognition system

• Published in: International journal of production research Vol. 47; no. 4; pp. 941 - 964
• Main Authors: Kannan, T. R., Shunmugam, M. S.
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis Group 01.01.2009; Taylor & Francis; Taylor & Francis LLC
• Subjects: Adjacency graph; Applied sciences; Computer science; control theory; systems; Control theory. Systems; Exact sciences and technology; Feature recognition; Information; Information systems. Data bases; Manufacturing; Manufacturing features; Memory organisation. Data processing; Metals; Neutral format; Process control. Computer integrated manufacturing; Sheet metal; Software; Studies; Systems integration; Computer integrated manufacturing; Expert system; Feature recognition; Pattern recognition; Adjacency graph; Integrated management; Geometrical model; Neutral format; Boolean logic; Sheet metal; Manufacturing features; Data models; Planning; Electronic data interchange
• ISSN: 0020-7543; 1366-588X
• DOI: 10.1080/00207540701510055

To automate planning activities in a computer integrated manufacturing environment, an integrated system of feature recognition and reasoning is essential. An attempt is made in the present work to develop such a system for 3D sheet metal components. Though certain part-modellers use feature-based methodology, they lack the information required for manufacturing and entire feature information is lost when converted to a neutral format such as STEP AP-203. The proposed feature recognition identifies manufacturing features in a generic manner, while feature reasoning gives the information required for manufacturing. Taking 3D model data in STEP AP-203 format as input to the feature recognition system, the central plane of the component is first generated. Further processing of faces is carried out and various features with similar manufacturing attributes are identified using a set of rules based on the topology, geometry and Boolean logic. Different types of manufacturing features such as cut, stretched, drawn and bent features as well as composite features are effectively identified irrespective of their shape. The system proposed here was tested with components taken from industry and examples available in the published literature. The proposed feature recognition system serves as input to the feature reasoning system dealt with in Part II of this work (Kannan, T.R. and Shunmugam, M.S., Processing of 3D Sheet metal components in STEP AP-203 format. Part II: feature reasoning system. Int. J. Prod. Res., 2009 (in press)).