A sensing strategy for the reverse engineering of machined parts |
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Authors: | Tarek Sobh Jonathan Owen |
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Affiliation: | (1) Department of Computer Science and Engineering, University of Bridgeport, 06601 CT, Bridgeport, USA |
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Abstract: | The reverse engineering of machined parts requires sensing an existing part and producing a design (and perhaps a manufacturing process) for it. We have developed a reverse engineering system that has proven effective with a set of machined parts. This paper describes the system, presents some results, and discusses strategy for a new system.This work was supported by ARPA under ARO grant number DAAH04-93-G-0420, DARPA grant N00014-91-J-4123, NSF grant CDA 9024721, and a University of Utah Research Committee grant. All opinions, findings, conclusions or recommendations expressed in this document are those of the authors and do not necessarily reflect the views of the sponsoring agencies. |
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Keywords: | Reverse engineering representation machined features |
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