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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-03-01
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| Series: | Micromachines |
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| Online Access: | https://www.mdpi.com/2072-666X/12/3/326 |
| _version_ | 1797540715730829312 |
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| author | Lan Zhang Xianbin Sha Ming Liu Liquan Wang Yongyin Pang |
| author_facet | Lan Zhang Xianbin Sha Ming Liu Liquan Wang Yongyin Pang |
| author_sort | Lan Zhang |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T13:04:59Z |
| format | Article |
| id | doaj.art-8e2a25939ef94fa18bc361cba58fc5eb |
| institution | Directory Open Access Journal |
| issn | 2072-666X |
| language | English |
| last_indexed | 2024-03-10T13:04:59Z |
| publishDate | 2021-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Micromachines |
| spelling | doaj.art-8e2a25939ef94fa18bc361cba58fc5eb2023-11-21T11:10:52ZengMDPI AGMicromachines2072-666X2021-03-0112332610.3390/mi12030326Cutting Force Prediction Models by FEA and RSM When Machining X56 Steel with Single Diamond GritLan Zhang0Xianbin Sha1Ming Liu2Liquan Wang3Yongyin Pang4College of Mechanical and Electrical Engineering, Harbin Engineering University, Nantong Ave 145, Harbin 150001, ChinaCollege of Mechanical and Electrical Engineering, Harbin Engineering University, Nantong Ave 145, Harbin 150001, ChinaCollege of Mechanical and Electrical Engineering, Harbin Engineering University, Nantong Ave 145, Harbin 150001, ChinaCollege of Mechanical and Electrical Engineering, Harbin Engineering University, Nantong Ave 145, Harbin 150001, ChinaCollege of Mechanical and Electrical Engineering, Harbin Engineering University, Nantong Ave 145, Harbin 150001, ChinaIn 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.https://www.mdpi.com/2072-666X/12/3/326ANOVAcoefficient of frictioncutting forcecutting speeddepth of cutdiamond grit |
| spellingShingle | Lan Zhang Xianbin Sha Ming Liu Liquan Wang Yongyin Pang Cutting Force Prediction Models by FEA and RSM When Machining X56 Steel with Single Diamond Grit Micromachines ANOVA coefficient of friction cutting force cutting speed depth of cut 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 | ANOVA coefficient of friction cutting force cutting speed depth of cut diamond grit |
| url | https://www.mdpi.com/2072-666X/12/3/326 |
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