2006
DOI: 10.1007/s00170-006-0574-7
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Recognition of undercut features and parting surface of moulded parts using polyhedron face adjacency graph

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Cited by 17 publications
(9 citation statements)
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“…It is assumed that the parting direction is already known to the user. Combining the system presented in the article along with the previously developed systems that address automatic determination of parting direction, 3236 identification of undercut features and their location 3739 in an automated manner would make the system more useful and significantly increase the level of automation. Some other characteristics which affect die-cast part quality that have not been considered in the present system are as follows: (1) die runs too hot or too cold due to spray conditions, water flow, hot oil temperature, and so on and (2) the process runs with an inconsistent cycle time.…”
Section: Resultsmentioning
confidence: 99%
“…It is assumed that the parting direction is already known to the user. Combining the system presented in the article along with the previously developed systems that address automatic determination of parting direction, 3236 identification of undercut features and their location 3739 in an automated manner would make the system more useful and significantly increase the level of automation. Some other characteristics which affect die-cast part quality that have not been considered in the present system are as follows: (1) die runs too hot or too cold due to spray conditions, water flow, hot oil temperature, and so on and (2) the process runs with an inconsistent cycle time.…”
Section: Resultsmentioning
confidence: 99%
“…Banerjee and Gupta 19 computed candidate retraction space for facets of an undercut feature in a given parting direction along with determination of a discrete set of feasible retraction spaces. Kumar et al 20 applied polyhedron face adjacency graph technique to recognize completely and partially visible undercuts based on the angle between the adjacent polyhedron. The concepts of feature recognition and surface de-mouldability and mouldability for identification and classification of undercut features were reported by Madan et al 21 and Fu, 22 respectively.…”
Section: Previous Research and Objectives Of This Workmentioning
confidence: 99%
“…The blind depression (or isolated depression) is simplest of the depression features having convex edge loop at the outer convex surface and a NCE loop at the inner NCS as shown in Figure 7(a). 20…”
Section: Classification Of Undercut Featuresmentioning
confidence: 99%
“…all those areas of the model that are in the shadow of the direction of extraction of the model itself. Multiple systems of automatic undercut recognition are now consolidated, according to the geometry to be obtained by means of the mold, starting from three-dimensional CAD models [8][9][10][11][12][13].…”
Section: Introductionmentioning
confidence: 99%