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Prediction of Nonlinear Micro-Milling Force with a Novel Minimum Uncut Chip Thickness Model

The minimum uncut chip thickness (MUCT), dividing the cutting zone into the shear region and the ploughing region, has a strong nonlinear effect on the cutting force of micro-milling. Determining the MUCT value is fundamental in order to predict the micro-milling force. In this study, based on the a...

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Detalles Bibliográficos
Autores principales: Liu, Tongshun, Zhang, Kedong, Wang, Gang, Wang, Chengdong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8703881/
https://www.ncbi.nlm.nih.gov/pubmed/34945345
http://dx.doi.org/10.3390/mi12121495
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author Liu, Tongshun
Zhang, Kedong
Wang, Gang
Wang, Chengdong
author_facet Liu, Tongshun
Zhang, Kedong
Wang, Gang
Wang, Chengdong
author_sort Liu, Tongshun
collection PubMed
description The minimum uncut chip thickness (MUCT), dividing the cutting zone into the shear region and the ploughing region, has a strong nonlinear effect on the cutting force of micro-milling. Determining the MUCT value is fundamental in order to predict the micro-milling force. In this study, based on the assumption that the normal shear force and the normal ploughing force are equivalent at the MUCT point, a novel analytical MUCT model considering the comprehensive effect of shear stress, friction angle, ploughing coefficient and cutting-edge radius is constructed to determine the MUCT. Nonlinear piecewise cutting force coefficient functions with the novel MUCT as the break point are constructed to represent the distribution of the shear/ploughing force under the effect of the minimum uncut chip thickness. By integrating the cutting force coefficient function, the nonlinear micro-milling force is predicted. Theoretical analysis shows that the nonlinear cutting force coefficient function embedded with the novel MUCT is absolutely integrable, making the micro-milling force model more stable and accurate than the conventional models. Moreover, by considering different factors in the MUCT model, the proposed micro-milling force model is more flexible than the traditional models. Micro-milling experiments under different cutting conditions have verified the efficiency and improvement of the proposed micro-milling force model.
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spelling pubmed-87038812021-12-25 Prediction of Nonlinear Micro-Milling Force with a Novel Minimum Uncut Chip Thickness Model Liu, Tongshun Zhang, Kedong Wang, Gang Wang, Chengdong Micromachines (Basel) Article The minimum uncut chip thickness (MUCT), dividing the cutting zone into the shear region and the ploughing region, has a strong nonlinear effect on the cutting force of micro-milling. Determining the MUCT value is fundamental in order to predict the micro-milling force. In this study, based on the assumption that the normal shear force and the normal ploughing force are equivalent at the MUCT point, a novel analytical MUCT model considering the comprehensive effect of shear stress, friction angle, ploughing coefficient and cutting-edge radius is constructed to determine the MUCT. Nonlinear piecewise cutting force coefficient functions with the novel MUCT as the break point are constructed to represent the distribution of the shear/ploughing force under the effect of the minimum uncut chip thickness. By integrating the cutting force coefficient function, the nonlinear micro-milling force is predicted. Theoretical analysis shows that the nonlinear cutting force coefficient function embedded with the novel MUCT is absolutely integrable, making the micro-milling force model more stable and accurate than the conventional models. Moreover, by considering different factors in the MUCT model, the proposed micro-milling force model is more flexible than the traditional models. Micro-milling experiments under different cutting conditions have verified the efficiency and improvement of the proposed micro-milling force model. MDPI 2021-11-30 /pmc/articles/PMC8703881/ /pubmed/34945345 http://dx.doi.org/10.3390/mi12121495 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liu, Tongshun
Zhang, Kedong
Wang, Gang
Wang, Chengdong
Prediction of Nonlinear Micro-Milling Force with a Novel Minimum Uncut Chip Thickness Model
title Prediction of Nonlinear Micro-Milling Force with a Novel Minimum Uncut Chip Thickness Model
title_full Prediction of Nonlinear Micro-Milling Force with a Novel Minimum Uncut Chip Thickness Model
title_fullStr Prediction of Nonlinear Micro-Milling Force with a Novel Minimum Uncut Chip Thickness Model
title_full_unstemmed Prediction of Nonlinear Micro-Milling Force with a Novel Minimum Uncut Chip Thickness Model
title_short Prediction of Nonlinear Micro-Milling Force with a Novel Minimum Uncut Chip Thickness Model
title_sort prediction of nonlinear micro-milling force with a novel minimum uncut chip thickness model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8703881/
https://www.ncbi.nlm.nih.gov/pubmed/34945345
http://dx.doi.org/10.3390/mi12121495
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