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Machining Feature Recognition Using 2D Data of Extruded Operations in Solid Models

by Tennety, Chandu

Abstract (Summary)
Manufacturing feature recognition is the effective interpretation of the geometric data in a CAD model in the form of semantically-rich components with manufacturing related information such as holes, slots, pockets and others that may be exploited in downstream CAPP applications. Most recent approaches toward feature recognition have been hint-based procedures operating on a 3D B-Rep model. This thesis discusses hint-based methodology by which features are extracted from a solid model built using extrude operations on 2D sketches. Each extruded operation in the part is queried for its profile data and the Boolean operation that was performed on it. Feature hints are generated from the curves of these 2D sketches, assessed for their parameters, and validated in 2D and 3D space. Valid hints are the basis for the creation of a machining feature model that can be input to a process planning module. The approach is implemented in the prototype system and is demonstrated and tested on several examples.
Bibliographical Information:

Advisor:

School:Ohio University

School Location:USA - Ohio

Source Type:Master's Thesis

Keywords:cad feature recognition 2d manufacturing machining hints hint based extrude operations sketch profile

ISBN:

Date of Publication:01/01/2007

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