2005
DOI: 10.1016/j.cad.2004.06.007
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Geometric algorithms for containment analysis of rotational parts

Abstract: This paper describes a system and underlying algorithms to perform geometric containment analysis to determine if a newly designed rotational part can be manufactured from a part in an existing database of rotational parts. Only material removal of the database part is considered in order to obtain the newly designed part from the database part. The system uses a three-step algorithm to test for containment. The first step analyzes feasibility of containment using bounding cylinders. If the bounding cylinder o… Show more

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Cited by 16 publications
(9 citation statements)
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“…Feature interactions and multiple interpretations still pose significant challenges to successful extraction of features [Car04,Car06]. Some of these techniques appear to be promising for specific domains such as manufacturing cost estimation, while some others can be used as a filter to quickly prune dissimilar objects based on the shape similarity assessment criteria [Gup99,Kar05,Ram01].…”
Section: Literature Surveymentioning
confidence: 99%
“…Feature interactions and multiple interpretations still pose significant challenges to successful extraction of features [Car04,Car06]. Some of these techniques appear to be promising for specific domains such as manufacturing cost estimation, while some others can be used as a filter to quickly prune dissimilar objects based on the shape similarity assessment criteria [Gup99,Kar05,Ram01].…”
Section: Literature Surveymentioning
confidence: 99%
“…Many different types of approaches have been developed [8], [3][4], [14], [23]. Feature based techniques appear to be promising for domains such as machined parts.…”
Section: Part Search Techniques 31 Search Based On a Query Partmentioning
confidence: 99%
“…We have presented a survey in [2]. Representative techniques include shape histogram-based techniques [9,13,18,21], graph-based techniques [1,10,19], spatial function based techniques [5,6,11,16,17], feature-based techniques [2,3,8,14,22]. The features can be represented as points or vectors in n dimension space where each dimension represents some significant characteristic of the feature.…”
mentioning
confidence: 99%