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Remanufacturing System with Chatter Suppression for CNC Turning

The paper presents the concept of a support system for the manufacture of machine spare parts. The operation of the system is based on a reverse engineering module enabling feature recognition based on a 3D parts scan. Then, a CAD geometrical model is generated, on the basis of which a machining str...

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Detalles Bibliográficos
Autores principales: Miądlicki, Karol, Jasiewicz, Marcin, Gołaszewski, Marcin, Królikowski, Marcin, Powałka, Bartosz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570908/
https://www.ncbi.nlm.nih.gov/pubmed/32906654
http://dx.doi.org/10.3390/s20185070
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author Miądlicki, Karol
Jasiewicz, Marcin
Gołaszewski, Marcin
Królikowski, Marcin
Powałka, Bartosz
author_facet Miądlicki, Karol
Jasiewicz, Marcin
Gołaszewski, Marcin
Królikowski, Marcin
Powałka, Bartosz
author_sort Miądlicki, Karol
collection PubMed
description The paper presents the concept of a support system for the manufacture of machine spare parts. The operation of the system is based on a reverse engineering module enabling feature recognition based on a 3D parts scan. Then, a CAD geometrical model is generated, on the basis of which a machining strategy using the CAM system is developed. In parallel, based on the geometric model, a finite element model is built, which facilitates defining technological parameters, allowing one to minimize the risk of vibrations during machining. These parameters constitute input information to the CAM module. The operation of the described system is presented on the example of machining parts of the shaft class. The result is a replacement part, the accuracy of which was compared by means of the iterative closest point algorithm obtaining the RMSE at the level of scanner accuracy.
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spelling pubmed-75709082020-10-28 Remanufacturing System with Chatter Suppression for CNC Turning Miądlicki, Karol Jasiewicz, Marcin Gołaszewski, Marcin Królikowski, Marcin Powałka, Bartosz Sensors (Basel) Article The paper presents the concept of a support system for the manufacture of machine spare parts. The operation of the system is based on a reverse engineering module enabling feature recognition based on a 3D parts scan. Then, a CAD geometrical model is generated, on the basis of which a machining strategy using the CAM system is developed. In parallel, based on the geometric model, a finite element model is built, which facilitates defining technological parameters, allowing one to minimize the risk of vibrations during machining. These parameters constitute input information to the CAM module. The operation of the described system is presented on the example of machining parts of the shaft class. The result is a replacement part, the accuracy of which was compared by means of the iterative closest point algorithm obtaining the RMSE at the level of scanner accuracy. MDPI 2020-09-07 /pmc/articles/PMC7570908/ /pubmed/32906654 http://dx.doi.org/10.3390/s20185070 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Miądlicki, Karol
Jasiewicz, Marcin
Gołaszewski, Marcin
Królikowski, Marcin
Powałka, Bartosz
Remanufacturing System with Chatter Suppression for CNC Turning
title Remanufacturing System with Chatter Suppression for CNC Turning
title_full Remanufacturing System with Chatter Suppression for CNC Turning
title_fullStr Remanufacturing System with Chatter Suppression for CNC Turning
title_full_unstemmed Remanufacturing System with Chatter Suppression for CNC Turning
title_short Remanufacturing System with Chatter Suppression for CNC Turning
title_sort remanufacturing system with chatter suppression for cnc turning
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570908/
https://www.ncbi.nlm.nih.gov/pubmed/32906654
http://dx.doi.org/10.3390/s20185070
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