2008
DOI: 10.1016/j.cad.2008.01.006
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Automatic recognition of features from freeform surface CAD models

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Cited by 168 publications
(77 citation statements)
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References 23 publications
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“…Manufacturing knowledge extraction is achieved implicitly by the user. Sunil et al [11] suggest extraction of manufacturing feature in a points cloud. Urbanic et al [12], about the RE methodology for rotary components from points cloud data, explain that features have accurate mathematical definitions or specifications for their geometry, and tolerances depending on functional requirements.…”
Section: Three Main Methodologies Can Be Revealedmentioning
confidence: 99%
“…Manufacturing knowledge extraction is achieved implicitly by the user. Sunil et al [11] suggest extraction of manufacturing feature in a points cloud. Urbanic et al [12], about the RE methodology for rotary components from points cloud data, explain that features have accurate mathematical definitions or specifications for their geometry, and tolerances depending on functional requirements.…”
Section: Three Main Methodologies Can Be Revealedmentioning
confidence: 99%
“…So, manufacturing knowledge extraction is achieved implicitly by the user. In the same way, Sunil et al [SP1] suggest extraction of manufacturing feature in a point cloud. Urbanic et al [UE1] proposed a library of features based on a specific manufacturing process.…”
Section: -Related Workmentioning
confidence: 96%
“…Many methods have been proposed for solid FR from numerous source files, such as from STL (Sunil and Pande, 2008), STEP (Bhandarkar and Nagi, 2000), or a B-rep model (van der Velden et al, 2010). In this subsection, we include Venkataraman's FR algorithm (Venkataraman et al, 2001) to provide readers with a brief understanding of the underline technique that supports solid FR.…”
Section: Solid Feature Recognitionmentioning
confidence: 99%