Milling stability prediction using an improved complete discretization method
Abstract Regenerative chatter is a self-excited vibration that may take place during milling, which process could shorten the lifetime of the tool and result in unacceptable surface quality. Thus, it is necessary to predict and avoid the appearance of this instability phenomenon. In this paper, an i...
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| Autor*in: |
Xie, Qizhi [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer-Verlag London 2015 |
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| Übergeordnetes Werk: |
Enthalten in: The international journal of advanced manufacturing technology - Springer London, 1985, 83(2015), 5-8 vom: 31. Juli, Seite 815-821 |
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| Übergeordnetes Werk: |
volume:83 ; year:2015 ; number:5-8 ; day:31 ; month:07 ; pages:815-821 |
| Links: |
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| DOI / URN: |
10.1007/s00170-015-7626-9 |
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OLC2026079412 |
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| 520 | |a Abstract Regenerative chatter is a self-excited vibration that may take place during milling, which process could shorten the lifetime of the tool and result in unacceptable surface quality. Thus, it is necessary to predict and avoid the appearance of this instability phenomenon. In this paper, an improved complete discretization method is proposed to predict milling stability. The highlight of this algorithm is that, by using Euler’s method, it discretizes periodic coefficient matrices, delay term, time domain term, and the differential terms, In search of convenience, the benchmark examples are illustrated by making a comparison among the semi-discretization method, complete discretization scheme, and improved complete discretization method, while at the same time the accuracy and efficiency of the algorithm is demonstrated. The results show that the proposed method is provided with higher computational efficiency and better industrial application value. | ||
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10.1007/s00170-015-7626-9 doi (DE-627)OLC2026079412 (DE-He213)s00170-015-7626-9-p DE-627 ger DE-627 rakwb eng 670 VZ Xie, Qizhi verfasserin aut Milling stability prediction using an improved complete discretization method 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London 2015 Abstract Regenerative chatter is a self-excited vibration that may take place during milling, which process could shorten the lifetime of the tool and result in unacceptable surface quality. Thus, it is necessary to predict and avoid the appearance of this instability phenomenon. In this paper, an improved complete discretization method is proposed to predict milling stability. The highlight of this algorithm is that, by using Euler’s method, it discretizes periodic coefficient matrices, delay term, time domain term, and the differential terms, In search of convenience, the benchmark examples are illustrated by making a comparison among the semi-discretization method, complete discretization scheme, and improved complete discretization method, while at the same time the accuracy and efficiency of the algorithm is demonstrated. The results show that the proposed method is provided with higher computational efficiency and better industrial application value. Milling Chatter Complete discretization method Semi-discretization method Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 83(2015), 5-8 vom: 31. Juli, Seite 815-821 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:83 year:2015 number:5-8 day:31 month:07 pages:815-821 https://doi.org/10.1007/s00170-015-7626-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_20 GBV_ILN_70 GBV_ILN_2018 GBV_ILN_2333 AR 83 2015 5-8 31 07 815-821 |
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10.1007/s00170-015-7626-9 doi (DE-627)OLC2026079412 (DE-He213)s00170-015-7626-9-p DE-627 ger DE-627 rakwb eng 670 VZ Xie, Qizhi verfasserin aut Milling stability prediction using an improved complete discretization method 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London 2015 Abstract Regenerative chatter is a self-excited vibration that may take place during milling, which process could shorten the lifetime of the tool and result in unacceptable surface quality. Thus, it is necessary to predict and avoid the appearance of this instability phenomenon. In this paper, an improved complete discretization method is proposed to predict milling stability. The highlight of this algorithm is that, by using Euler’s method, it discretizes periodic coefficient matrices, delay term, time domain term, and the differential terms, In search of convenience, the benchmark examples are illustrated by making a comparison among the semi-discretization method, complete discretization scheme, and improved complete discretization method, while at the same time the accuracy and efficiency of the algorithm is demonstrated. The results show that the proposed method is provided with higher computational efficiency and better industrial application value. Milling Chatter Complete discretization method Semi-discretization method Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 83(2015), 5-8 vom: 31. Juli, Seite 815-821 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:83 year:2015 number:5-8 day:31 month:07 pages:815-821 https://doi.org/10.1007/s00170-015-7626-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_20 GBV_ILN_70 GBV_ILN_2018 GBV_ILN_2333 AR 83 2015 5-8 31 07 815-821 |
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10.1007/s00170-015-7626-9 doi (DE-627)OLC2026079412 (DE-He213)s00170-015-7626-9-p DE-627 ger DE-627 rakwb eng 670 VZ Xie, Qizhi verfasserin aut Milling stability prediction using an improved complete discretization method 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London 2015 Abstract Regenerative chatter is a self-excited vibration that may take place during milling, which process could shorten the lifetime of the tool and result in unacceptable surface quality. Thus, it is necessary to predict and avoid the appearance of this instability phenomenon. In this paper, an improved complete discretization method is proposed to predict milling stability. The highlight of this algorithm is that, by using Euler’s method, it discretizes periodic coefficient matrices, delay term, time domain term, and the differential terms, In search of convenience, the benchmark examples are illustrated by making a comparison among the semi-discretization method, complete discretization scheme, and improved complete discretization method, while at the same time the accuracy and efficiency of the algorithm is demonstrated. The results show that the proposed method is provided with higher computational efficiency and better industrial application value. Milling Chatter Complete discretization method Semi-discretization method Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 83(2015), 5-8 vom: 31. Juli, Seite 815-821 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:83 year:2015 number:5-8 day:31 month:07 pages:815-821 https://doi.org/10.1007/s00170-015-7626-9 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_20 GBV_ILN_70 GBV_ILN_2018 GBV_ILN_2333 AR 83 2015 5-8 31 07 815-821 |
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Abstract Regenerative chatter is a self-excited vibration that may take place during milling, which process could shorten the lifetime of the tool and result in unacceptable surface quality. Thus, it is necessary to predict and avoid the appearance of this instability phenomenon. In this paper, an improved complete discretization method is proposed to predict milling stability. The highlight of this algorithm is that, by using Euler’s method, it discretizes periodic coefficient matrices, delay term, time domain term, and the differential terms, In search of convenience, the benchmark examples are illustrated by making a comparison among the semi-discretization method, complete discretization scheme, and improved complete discretization method, while at the same time the accuracy and efficiency of the algorithm is demonstrated. The results show that the proposed method is provided with higher computational efficiency and better industrial application value. © Springer-Verlag London 2015 |
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Abstract Regenerative chatter is a self-excited vibration that may take place during milling, which process could shorten the lifetime of the tool and result in unacceptable surface quality. Thus, it is necessary to predict and avoid the appearance of this instability phenomenon. In this paper, an improved complete discretization method is proposed to predict milling stability. The highlight of this algorithm is that, by using Euler’s method, it discretizes periodic coefficient matrices, delay term, time domain term, and the differential terms, In search of convenience, the benchmark examples are illustrated by making a comparison among the semi-discretization method, complete discretization scheme, and improved complete discretization method, while at the same time the accuracy and efficiency of the algorithm is demonstrated. The results show that the proposed method is provided with higher computational efficiency and better industrial application value. © Springer-Verlag London 2015 |
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Abstract Regenerative chatter is a self-excited vibration that may take place during milling, which process could shorten the lifetime of the tool and result in unacceptable surface quality. Thus, it is necessary to predict and avoid the appearance of this instability phenomenon. In this paper, an improved complete discretization method is proposed to predict milling stability. The highlight of this algorithm is that, by using Euler’s method, it discretizes periodic coefficient matrices, delay term, time domain term, and the differential terms, In search of convenience, the benchmark examples are illustrated by making a comparison among the semi-discretization method, complete discretization scheme, and improved complete discretization method, while at the same time the accuracy and efficiency of the algorithm is demonstrated. The results show that the proposed method is provided with higher computational efficiency and better industrial application value. © Springer-Verlag London 2015 |
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Thus, it is necessary to predict and avoid the appearance of this instability phenomenon. In this paper, an improved complete discretization method is proposed to predict milling stability. The highlight of this algorithm is that, by using Euler’s method, it discretizes periodic coefficient matrices, delay term, time domain term, and the differential terms, In search of convenience, the benchmark examples are illustrated by making a comparison among the semi-discretization method, complete discretization scheme, and improved complete discretization method, while at the same time the accuracy and efficiency of the algorithm is demonstrated. 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