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Cutting Force Prediction Models by FEA and RSM When Machining X56 Steel with Single Diamond Grit

In the field of underwater emergency maintenance, submarine pipeline cutting is generally performed by a diamond wire saw. The process, in essence, involves diamond grits distributed on the surface of the beads cutting X56 pipeline steel bit by bit at high speed. To find the effect of the different...

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Detalles Bibliográficos
Autores principales: Zhang, Lan, Sha, Xianbin, Liu, Ming, Wang, Liquan, Pang, Yongyin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8003552/
https://www.ncbi.nlm.nih.gov/pubmed/33808702
http://dx.doi.org/10.3390/mi12030326
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author Zhang, Lan
Sha, Xianbin
Liu, Ming
Wang, Liquan
Pang, Yongyin
author_facet Zhang, Lan
Sha, Xianbin
Liu, Ming
Wang, Liquan
Pang, Yongyin
author_sort Zhang, Lan
collection PubMed
description In the field of underwater emergency maintenance, submarine pipeline cutting is generally performed by a diamond wire saw. The process, in essence, involves diamond grits distributed on the surface of the beads cutting X56 pipeline steel bit by bit at high speed. To find the effect of the different parameters (cutting speed, coefficient of friction and depth of cut) on cutting force, the finite element (FEA) method and response surface method (RSM) were adopted to obtain cutting force prediction models. The former was based on 64 simulations; the latter was designed according to DoE (Design of Experiments). Confirmation experiments were executed to validate the regression models. The results indicate that most of the prediction errors were within 10%, which were acceptable in engineering. Based on variance analyses of the RSM models, it could be concluded that the depth of the cut played the most important role in determining the cutting force and coefficient the of friction was less influential. Despite making little direct contribution to the cutting force, the cutting speed is not supposed to be high for reducing the coefficient of friction. The cutting force models are instructive in manufacturing the diamond beads by determining the protrusion height of the diamond grits and the future planning of the cutting parameters.
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spelling pubmed-80035522021-03-28 Cutting Force Prediction Models by FEA and RSM When Machining X56 Steel with Single Diamond Grit Zhang, Lan Sha, Xianbin Liu, Ming Wang, Liquan Pang, Yongyin Micromachines (Basel) Article In the field of underwater emergency maintenance, submarine pipeline cutting is generally performed by a diamond wire saw. The process, in essence, involves diamond grits distributed on the surface of the beads cutting X56 pipeline steel bit by bit at high speed. To find the effect of the different parameters (cutting speed, coefficient of friction and depth of cut) on cutting force, the finite element (FEA) method and response surface method (RSM) were adopted to obtain cutting force prediction models. The former was based on 64 simulations; the latter was designed according to DoE (Design of Experiments). Confirmation experiments were executed to validate the regression models. The results indicate that most of the prediction errors were within 10%, which were acceptable in engineering. Based on variance analyses of the RSM models, it could be concluded that the depth of the cut played the most important role in determining the cutting force and coefficient the of friction was less influential. Despite making little direct contribution to the cutting force, the cutting speed is not supposed to be high for reducing the coefficient of friction. The cutting force models are instructive in manufacturing the diamond beads by determining the protrusion height of the diamond grits and the future planning of the cutting parameters. MDPI 2021-03-19 /pmc/articles/PMC8003552/ /pubmed/33808702 http://dx.doi.org/10.3390/mi12030326 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 (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ).
spellingShingle Article
Zhang, Lan
Sha, Xianbin
Liu, Ming
Wang, Liquan
Pang, Yongyin
Cutting Force Prediction Models by FEA and RSM When Machining X56 Steel with Single Diamond Grit
title Cutting Force Prediction Models by FEA and RSM When Machining X56 Steel with Single Diamond Grit
title_full Cutting Force Prediction Models by FEA and RSM When Machining X56 Steel with Single Diamond Grit
title_fullStr Cutting Force Prediction Models by FEA and RSM When Machining X56 Steel with Single Diamond Grit
title_full_unstemmed Cutting Force Prediction Models by FEA and RSM When Machining X56 Steel with Single Diamond Grit
title_short Cutting Force Prediction Models by FEA and RSM When Machining X56 Steel with Single Diamond Grit
title_sort cutting force prediction models by fea and rsm when machining x56 steel with single diamond grit
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8003552/
https://www.ncbi.nlm.nih.gov/pubmed/33808702
http://dx.doi.org/10.3390/mi12030326
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