Skip to Main content Skip to Navigation
Conference papers

Feature Recognition for Virtual Machining

Abstract : Virtual machining uses software tools to simulate machining processes in virtual environments ahead of actual production. This paper proposes that feature recognition techniques can be applied in the course of virtual machining, such as identifying some process problems, and presenting corresponding correcting advices. By comparing with the original CAD model, form errors of the machining features can be found. And then corrections are suggested to process designers. Two approaches, feature recognition from G-code and feature recognition from In-Process Model (IPM), are proposed and elucidated. Feature recognition from IPM adopts a novel method of curvature based region segmentation and valuated adjacency graph. Recognized machining features are represented in conformance to STEP-NC. Feature recognition can help the virtual machining analysis in revealing potential defections in machining operations.
Document type :
Conference papers
Complete list of metadata

Cited literature [12 references]  Display  Hide  Download
Contributor : Nabil Anwer Connect in order to contact the contributor
Submitted on : Friday, December 12, 2014 - 2:31:35 AM
Last modification on : Thursday, October 14, 2021 - 3:34:17 AM
Long-term archiving on: : Saturday, April 15, 2017 - 7:32:17 AM


Files produced by the author(s)


  • HAL Id : hal-01094274, version 1


Shixin Xú, Nabil Anwer, Lihong Qiao. Feature Recognition for Virtual Machining. 21st International Conference on Industrial Engineering and Engineering Management 2014, Nov 2014, zhuhai, China. ⟨hal-01094274⟩



Les métriques sont temporairement indisponibles