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contributor authorMadhumati Ramesh
contributor authorDerek Yip-Hoi
contributor authorDebasish Dutta
date accessioned2017-05-09T00:04:18Z
date available2017-05-09T00:04:18Z
date copyrightSeptember, 2001
date issued2001
identifier issn1530-9827
identifier otherJCISB6-25908#245_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/124880
description abstractExploiting shape similarities amongst parts for applications such as variant process planning is well known in the manufacturing industry. This particular application requires a mechanism for retrieval of similar parts from a part database which in turn requires a method for shape similarity measurement. In this paper, such a method is presented. First, the part is decomposed into simpler shapes resembling machining features. The decomposition method makes use of primitives to generate the shapes directly unlike previous methods in which the shapes are produced by combining minimal cells. Next, part characteristics that capture the spatial and dimensional relationships amongst features are used to measure the similarity. These characteristics are relevant to machining and they complement the characteristics such as feature type and feature intersections that are used by the previous shape comparison techniques. Implementation and examples are also included.
publisherThe American Society of Mechanical Engineers (ASME)
titleFeature Based Shape Similarity Measurement for Retrieval of Mechanical Parts
typeJournal Paper
journal volume1
journal issue3
journal titleJournal of Computing and Information Science in Engineering
identifier doi10.1115/1.1412456
journal fristpage245
journal lastpage256
identifier eissn1530-9827
keywordsMachining
keywordsIntersections
keywordsInformation retrieval
keywordsShapes
keywordsAlgorithms
keywordsDatabases
keywordsProject tasks
keywordsDimensions AND Production planning
treeJournal of Computing and Information Science in Engineering:;2001:;volume( 001 ):;issue: 003
contenttypeFulltext


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