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Error Aggregation in the Reengineering Process from 3D Scanning to Printing

This work aims to study the aggregation of dimensional errors in the reengineering processes using 3D scanning and printing without initial design drawings. A 57-tooth spur gear is used as an example to facilitate the discussion. Two approaches are investigated. The first one builds the gear model b...

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Detalles Bibliográficos
Autores principales: Michaeli, Jennifer G., DeGroff, Matthew C., Roxas, Roman C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5698601/
https://www.ncbi.nlm.nih.gov/pubmed/29250211
http://dx.doi.org/10.1155/2017/1218541
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author Michaeli, Jennifer G.
DeGroff, Matthew C.
Roxas, Roman C.
author_facet Michaeli, Jennifer G.
DeGroff, Matthew C.
Roxas, Roman C.
author_sort Michaeli, Jennifer G.
collection PubMed
description This work aims to study the aggregation of dimensional errors in the reengineering processes using 3D scanning and printing without initial design drawings. A 57-tooth spur gear is used as an example to facilitate the discussion. Two approaches are investigated. The first one builds the gear model based upon measurement taken from a caliper, and the second approach uses a 3D scanner to collect geometry data. Dimensional errors in each stage of these two approaches are investigated. Particular attention is paid to the geometry data flow in the reengineering process from data acquisition and editing to model construction. Recommendations are made in regard to error estimation and alleviation.
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spelling pubmed-56986012017-12-17 Error Aggregation in the Reengineering Process from 3D Scanning to Printing Michaeli, Jennifer G. DeGroff, Matthew C. Roxas, Roman C. Scanning Research Article This work aims to study the aggregation of dimensional errors in the reengineering processes using 3D scanning and printing without initial design drawings. A 57-tooth spur gear is used as an example to facilitate the discussion. Two approaches are investigated. The first one builds the gear model based upon measurement taken from a caliper, and the second approach uses a 3D scanner to collect geometry data. Dimensional errors in each stage of these two approaches are investigated. Particular attention is paid to the geometry data flow in the reengineering process from data acquisition and editing to model construction. Recommendations are made in regard to error estimation and alleviation. Hindawi 2017-11-07 /pmc/articles/PMC5698601/ /pubmed/29250211 http://dx.doi.org/10.1155/2017/1218541 Text en Copyright © 2017 Jennifer G. Michaeli et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Michaeli, Jennifer G.
DeGroff, Matthew C.
Roxas, Roman C.
Error Aggregation in the Reengineering Process from 3D Scanning to Printing
title Error Aggregation in the Reengineering Process from 3D Scanning to Printing
title_full Error Aggregation in the Reengineering Process from 3D Scanning to Printing
title_fullStr Error Aggregation in the Reengineering Process from 3D Scanning to Printing
title_full_unstemmed Error Aggregation in the Reengineering Process from 3D Scanning to Printing
title_short Error Aggregation in the Reengineering Process from 3D Scanning to Printing
title_sort error aggregation in the reengineering process from 3d scanning to printing
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5698601/
https://www.ncbi.nlm.nih.gov/pubmed/29250211
http://dx.doi.org/10.1155/2017/1218541
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