Title: A hybrid machining Feature Recognition system

Authors: A.K. Verma, Sunil Rajotia

Addresses: Department of Production and Industrial Engineering, J.N.V. University, Jodhpur 342 011, India. ' Department of Mechanical Engineering, J.N.V. University, Jodhpur 342 011, India

Abstract: This paper discusses a hybrid feature recognition system to recognise machining features in boundary representation solid model of 2.5D parts. It combines the strengths of graph-based and hint-based approaches. A pre-processor is used to validate the input part model. The graph-based system is used to extract and recognise isolated features of the part. The hint-based system decomposes the compound features into machinable features. It is capable of handling arbitrary interactions of features. The proposed integrated framework of the two approaches is tightly coupled with the machining environment to ensure manufacturability of the recognised features. [Received 10 June 2008; Revised 24 October 2008; Accepted 25 December 2008]

Keywords: feature recognition; graph-based systems; hint-based systems; machining features; 2.5D parts; hybrid machining feature recognition; boundary representation; solid modelling.

DOI: 10.1504/IJMR.2009.026578

International Journal of Manufacturing Research, 2009 Vol.4 No.3, pp.343 - 361

Available online: 19 Jun 2009 *

Full-text access for editors Access for subscribers Purchase this article Comment on this article