An error prediction model of NC machining process considering multiple error sources
Abstract In flank milling process, machined surface is formed by the edge of the cutting tool while the position of tool is influenced by the movement of computer numerical control (CNC) machining axis and the status of tool is influenced by the cutting force; thus, the quality of the workpiece is a...
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| Autor*in: |
Weixin, HU [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer-Verlag London 2016 |
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| Übergeordnetes Werk: |
Enthalten in: The international journal of advanced manufacturing technology - Springer London, 1985, 94(2016), 5-8 vom: 16. Dez., Seite 1689-1698 |
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| Übergeordnetes Werk: |
volume:94 ; year:2016 ; number:5-8 ; day:16 ; month:12 ; pages:1689-1698 |
| Links: |
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| DOI / URN: |
10.1007/s00170-016-9867-7 |
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OLC2026112746 |
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| 520 | |a Abstract In flank milling process, machined surface is formed by the edge of the cutting tool while the position of tool is influenced by the movement of computer numerical control (CNC) machining axis and the status of tool is influenced by the cutting force; thus, the quality of the workpiece is affected by multiple error sources. In this paper, a new error prediction method is proposed to integrate errors of the process system, including tool rotation error, machine geometric error, and tool deformation error. All these errors are synthesized to generate the movement of tool edge in the workpiece coordinate system. Then, the machining error is obtained by projecting the point cloud of tool edge to the workpiece normal vector. Case studies are performed at the end, and the influence of tool rotation error on workpiece error is discussed. The model has been validated with an experiment. | ||
| 650 | 4 | |a Milling | |
| 650 | 4 | |a Rotation error | |
| 650 | 4 | |a Deformation error | |
| 650 | 4 | |a Geometric error | |
| 650 | 4 | |a Error prediction | |
| 700 | 1 | |a Cao, Yanlong |4 aut | |
| 700 | 1 | |a Yang, Jiangxin |4 aut | |
| 700 | 1 | |a Shang, Hui-chao |4 aut | |
| 700 | 1 | |a Wang, Wen-bo |4 aut | |
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10.1007/s00170-016-9867-7 doi (DE-627)OLC2026112746 (DE-He213)s00170-016-9867-7-p DE-627 ger DE-627 rakwb eng 670 VZ Weixin, HU verfasserin aut An error prediction model of NC machining process considering multiple error sources 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London 2016 Abstract In flank milling process, machined surface is formed by the edge of the cutting tool while the position of tool is influenced by the movement of computer numerical control (CNC) machining axis and the status of tool is influenced by the cutting force; thus, the quality of the workpiece is affected by multiple error sources. In this paper, a new error prediction method is proposed to integrate errors of the process system, including tool rotation error, machine geometric error, and tool deformation error. All these errors are synthesized to generate the movement of tool edge in the workpiece coordinate system. Then, the machining error is obtained by projecting the point cloud of tool edge to the workpiece normal vector. Case studies are performed at the end, and the influence of tool rotation error on workpiece error is discussed. The model has been validated with an experiment. Milling Rotation error Deformation error Geometric error Error prediction Cao, Yanlong aut Yang, Jiangxin aut Shang, Hui-chao aut Wang, Wen-bo aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 94(2016), 5-8 vom: 16. Dez., Seite 1689-1698 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:94 year:2016 number:5-8 day:16 month:12 pages:1689-1698 https://doi.org/10.1007/s00170-016-9867-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2018 GBV_ILN_2333 AR 94 2016 5-8 16 12 1689-1698 |
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10.1007/s00170-016-9867-7 doi (DE-627)OLC2026112746 (DE-He213)s00170-016-9867-7-p DE-627 ger DE-627 rakwb eng 670 VZ Weixin, HU verfasserin aut An error prediction model of NC machining process considering multiple error sources 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London 2016 Abstract In flank milling process, machined surface is formed by the edge of the cutting tool while the position of tool is influenced by the movement of computer numerical control (CNC) machining axis and the status of tool is influenced by the cutting force; thus, the quality of the workpiece is affected by multiple error sources. In this paper, a new error prediction method is proposed to integrate errors of the process system, including tool rotation error, machine geometric error, and tool deformation error. All these errors are synthesized to generate the movement of tool edge in the workpiece coordinate system. Then, the machining error is obtained by projecting the point cloud of tool edge to the workpiece normal vector. Case studies are performed at the end, and the influence of tool rotation error on workpiece error is discussed. The model has been validated with an experiment. Milling Rotation error Deformation error Geometric error Error prediction Cao, Yanlong aut Yang, Jiangxin aut Shang, Hui-chao aut Wang, Wen-bo aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 94(2016), 5-8 vom: 16. Dez., Seite 1689-1698 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:94 year:2016 number:5-8 day:16 month:12 pages:1689-1698 https://doi.org/10.1007/s00170-016-9867-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2018 GBV_ILN_2333 AR 94 2016 5-8 16 12 1689-1698 |
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10.1007/s00170-016-9867-7 doi (DE-627)OLC2026112746 (DE-He213)s00170-016-9867-7-p DE-627 ger DE-627 rakwb eng 670 VZ Weixin, HU verfasserin aut An error prediction model of NC machining process considering multiple error sources 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London 2016 Abstract In flank milling process, machined surface is formed by the edge of the cutting tool while the position of tool is influenced by the movement of computer numerical control (CNC) machining axis and the status of tool is influenced by the cutting force; thus, the quality of the workpiece is affected by multiple error sources. In this paper, a new error prediction method is proposed to integrate errors of the process system, including tool rotation error, machine geometric error, and tool deformation error. All these errors are synthesized to generate the movement of tool edge in the workpiece coordinate system. Then, the machining error is obtained by projecting the point cloud of tool edge to the workpiece normal vector. Case studies are performed at the end, and the influence of tool rotation error on workpiece error is discussed. The model has been validated with an experiment. Milling Rotation error Deformation error Geometric error Error prediction Cao, Yanlong aut Yang, Jiangxin aut Shang, Hui-chao aut Wang, Wen-bo aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 94(2016), 5-8 vom: 16. Dez., Seite 1689-1698 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:94 year:2016 number:5-8 day:16 month:12 pages:1689-1698 https://doi.org/10.1007/s00170-016-9867-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2018 GBV_ILN_2333 AR 94 2016 5-8 16 12 1689-1698 |
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10.1007/s00170-016-9867-7 doi (DE-627)OLC2026112746 (DE-He213)s00170-016-9867-7-p DE-627 ger DE-627 rakwb eng 670 VZ Weixin, HU verfasserin aut An error prediction model of NC machining process considering multiple error sources 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London 2016 Abstract In flank milling process, machined surface is formed by the edge of the cutting tool while the position of tool is influenced by the movement of computer numerical control (CNC) machining axis and the status of tool is influenced by the cutting force; thus, the quality of the workpiece is affected by multiple error sources. In this paper, a new error prediction method is proposed to integrate errors of the process system, including tool rotation error, machine geometric error, and tool deformation error. All these errors are synthesized to generate the movement of tool edge in the workpiece coordinate system. Then, the machining error is obtained by projecting the point cloud of tool edge to the workpiece normal vector. Case studies are performed at the end, and the influence of tool rotation error on workpiece error is discussed. The model has been validated with an experiment. Milling Rotation error Deformation error Geometric error Error prediction Cao, Yanlong aut Yang, Jiangxin aut Shang, Hui-chao aut Wang, Wen-bo aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 94(2016), 5-8 vom: 16. Dez., Seite 1689-1698 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:94 year:2016 number:5-8 day:16 month:12 pages:1689-1698 https://doi.org/10.1007/s00170-016-9867-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2018 GBV_ILN_2333 AR 94 2016 5-8 16 12 1689-1698 |
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10.1007/s00170-016-9867-7 doi (DE-627)OLC2026112746 (DE-He213)s00170-016-9867-7-p DE-627 ger DE-627 rakwb eng 670 VZ Weixin, HU verfasserin aut An error prediction model of NC machining process considering multiple error sources 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London 2016 Abstract In flank milling process, machined surface is formed by the edge of the cutting tool while the position of tool is influenced by the movement of computer numerical control (CNC) machining axis and the status of tool is influenced by the cutting force; thus, the quality of the workpiece is affected by multiple error sources. In this paper, a new error prediction method is proposed to integrate errors of the process system, including tool rotation error, machine geometric error, and tool deformation error. All these errors are synthesized to generate the movement of tool edge in the workpiece coordinate system. Then, the machining error is obtained by projecting the point cloud of tool edge to the workpiece normal vector. Case studies are performed at the end, and the influence of tool rotation error on workpiece error is discussed. The model has been validated with an experiment. Milling Rotation error Deformation error Geometric error Error prediction Cao, Yanlong aut Yang, Jiangxin aut Shang, Hui-chao aut Wang, Wen-bo aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 94(2016), 5-8 vom: 16. Dez., Seite 1689-1698 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:94 year:2016 number:5-8 day:16 month:12 pages:1689-1698 https://doi.org/10.1007/s00170-016-9867-7 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2018 GBV_ILN_2333 AR 94 2016 5-8 16 12 1689-1698 |
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Abstract In flank milling process, machined surface is formed by the edge of the cutting tool while the position of tool is influenced by the movement of computer numerical control (CNC) machining axis and the status of tool is influenced by the cutting force; thus, the quality of the workpiece is affected by multiple error sources. In this paper, a new error prediction method is proposed to integrate errors of the process system, including tool rotation error, machine geometric error, and tool deformation error. All these errors are synthesized to generate the movement of tool edge in the workpiece coordinate system. Then, the machining error is obtained by projecting the point cloud of tool edge to the workpiece normal vector. Case studies are performed at the end, and the influence of tool rotation error on workpiece error is discussed. The model has been validated with an experiment. © Springer-Verlag London 2016 |
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Abstract In flank milling process, machined surface is formed by the edge of the cutting tool while the position of tool is influenced by the movement of computer numerical control (CNC) machining axis and the status of tool is influenced by the cutting force; thus, the quality of the workpiece is affected by multiple error sources. In this paper, a new error prediction method is proposed to integrate errors of the process system, including tool rotation error, machine geometric error, and tool deformation error. All these errors are synthesized to generate the movement of tool edge in the workpiece coordinate system. Then, the machining error is obtained by projecting the point cloud of tool edge to the workpiece normal vector. Case studies are performed at the end, and the influence of tool rotation error on workpiece error is discussed. The model has been validated with an experiment. © Springer-Verlag London 2016 |
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Abstract In flank milling process, machined surface is formed by the edge of the cutting tool while the position of tool is influenced by the movement of computer numerical control (CNC) machining axis and the status of tool is influenced by the cutting force; thus, the quality of the workpiece is affected by multiple error sources. In this paper, a new error prediction method is proposed to integrate errors of the process system, including tool rotation error, machine geometric error, and tool deformation error. All these errors are synthesized to generate the movement of tool edge in the workpiece coordinate system. Then, the machining error is obtained by projecting the point cloud of tool edge to the workpiece normal vector. Case studies are performed at the end, and the influence of tool rotation error on workpiece error is discussed. The model has been validated with an experiment. © Springer-Verlag London 2016 |
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| doi_str |
10.1007/s00170-016-9867-7 |
| up_date |
2024-07-04T03:08:29.203Z |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">OLC2026112746</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230323141459.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">200820s2016 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s00170-016-9867-7</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2026112746</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s00170-016-9867-7-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">670</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Weixin, HU</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">An error prediction model of NC machining process considering multiple error sources</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2016</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer-Verlag London 2016</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract In flank milling process, machined surface is formed by the edge of the cutting tool while the position of tool is influenced by the movement of computer numerical control (CNC) machining axis and the status of tool is influenced by the cutting force; thus, the quality of the workpiece is affected by multiple error sources. In this paper, a new error prediction method is proposed to integrate errors of the process system, including tool rotation error, machine geometric error, and tool deformation error. All these errors are synthesized to generate the movement of tool edge in the workpiece coordinate system. Then, the machining error is obtained by projecting the point cloud of tool edge to the workpiece normal vector. Case studies are performed at the end, and the influence of tool rotation error on workpiece error is discussed. 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