A predictive model on surface roughness during internal traverse grinding of small holes
Abstract The surface roughness of nozzles has important influence on the quality of fuel atomization. The diameter of nozzles in aero engine is generally less than 1 mm. Because of the smaller diameter of the grinding wheel used, its stiffness is poor and thus the wheel tends to deflect under the gr...
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| Autor*in: |
Su, Hao [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Anmerkung: |
© Springer-Verlag London Ltd., part of Springer Nature 2019 |
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| Übergeordnetes Werk: |
Enthalten in: The international journal of advanced manufacturing technology - Springer London, 1985, 103(2019), 5-8 vom: 16. Apr., Seite 2069-2077 |
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| Übergeordnetes Werk: |
volume:103 ; year:2019 ; number:5-8 ; day:16 ; month:04 ; pages:2069-2077 |
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| DOI / URN: |
10.1007/s00170-019-03643-z |
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OLC2026140316 |
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| 520 | |a Abstract The surface roughness of nozzles has important influence on the quality of fuel atomization. The diameter of nozzles in aero engine is generally less than 1 mm. Because of the smaller diameter of the grinding wheel used, its stiffness is poor and thus the wheel tends to deflect under the grinding force. The deflection of grinding wheel has great influence on the actual feed, which ultimately affects the roughness. Therefore, a predictive model of the roughness during internal traverse grinding (ITG) is thus needed. Such a predictive model was established in this paper, in which the deflection of tool and interference of grooves were taken into consideration. In addition, the relationship between roughness and various input variables, namely, the rotating speed, the oscillation speed, the radial feed speed, the feed time, and the spark-out time, was established. Then several groups of experiments with different input variables were carried out to calibrate and validate the model, which demonstrated that the predictive model of surface roughness of ITG in small-hole nozzles has good accuracy, and provides guidance for the optimization of processing parameters. | ||
| 650 | 4 | |a Internal traverse grinding | |
| 650 | 4 | |a Surface roughness | |
| 650 | 4 | |a Deflection of grinding wheel | |
| 700 | 1 | |a Yang, Changyong |4 aut | |
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| 700 | 1 | |a Fu, Yucan |4 aut | |
| 700 | 1 | |a Ding, Wengfeng |4 aut | |
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10.1007/s00170-019-03643-z doi (DE-627)OLC2026140316 (DE-He213)s00170-019-03643-z-p DE-627 ger DE-627 rakwb eng 670 VZ Su, Hao verfasserin aut A predictive model on surface roughness during internal traverse grinding of small holes 2019 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London Ltd., part of Springer Nature 2019 Abstract The surface roughness of nozzles has important influence on the quality of fuel atomization. The diameter of nozzles in aero engine is generally less than 1 mm. Because of the smaller diameter of the grinding wheel used, its stiffness is poor and thus the wheel tends to deflect under the grinding force. The deflection of grinding wheel has great influence on the actual feed, which ultimately affects the roughness. Therefore, a predictive model of the roughness during internal traverse grinding (ITG) is thus needed. Such a predictive model was established in this paper, in which the deflection of tool and interference of grooves were taken into consideration. In addition, the relationship between roughness and various input variables, namely, the rotating speed, the oscillation speed, the radial feed speed, the feed time, and the spark-out time, was established. Then several groups of experiments with different input variables were carried out to calibrate and validate the model, which demonstrated that the predictive model of surface roughness of ITG in small-hole nozzles has good accuracy, and provides guidance for the optimization of processing parameters. Internal traverse grinding Surface roughness Deflection of grinding wheel Yang, Changyong aut Gao, Shaowu aut Fu, Yucan aut Ding, Wengfeng aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 103(2019), 5-8 vom: 16. Apr., Seite 2069-2077 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:103 year:2019 number:5-8 day:16 month:04 pages:2069-2077 https://doi.org/10.1007/s00170-019-03643-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2018 GBV_ILN_2333 AR 103 2019 5-8 16 04 2069-2077 |
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10.1007/s00170-019-03643-z doi (DE-627)OLC2026140316 (DE-He213)s00170-019-03643-z-p DE-627 ger DE-627 rakwb eng 670 VZ Su, Hao verfasserin aut A predictive model on surface roughness during internal traverse grinding of small holes 2019 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London Ltd., part of Springer Nature 2019 Abstract The surface roughness of nozzles has important influence on the quality of fuel atomization. The diameter of nozzles in aero engine is generally less than 1 mm. Because of the smaller diameter of the grinding wheel used, its stiffness is poor and thus the wheel tends to deflect under the grinding force. The deflection of grinding wheel has great influence on the actual feed, which ultimately affects the roughness. Therefore, a predictive model of the roughness during internal traverse grinding (ITG) is thus needed. Such a predictive model was established in this paper, in which the deflection of tool and interference of grooves were taken into consideration. In addition, the relationship between roughness and various input variables, namely, the rotating speed, the oscillation speed, the radial feed speed, the feed time, and the spark-out time, was established. Then several groups of experiments with different input variables were carried out to calibrate and validate the model, which demonstrated that the predictive model of surface roughness of ITG in small-hole nozzles has good accuracy, and provides guidance for the optimization of processing parameters. Internal traverse grinding Surface roughness Deflection of grinding wheel Yang, Changyong aut Gao, Shaowu aut Fu, Yucan aut Ding, Wengfeng aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 103(2019), 5-8 vom: 16. Apr., Seite 2069-2077 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:103 year:2019 number:5-8 day:16 month:04 pages:2069-2077 https://doi.org/10.1007/s00170-019-03643-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2018 GBV_ILN_2333 AR 103 2019 5-8 16 04 2069-2077 |
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10.1007/s00170-019-03643-z doi (DE-627)OLC2026140316 (DE-He213)s00170-019-03643-z-p DE-627 ger DE-627 rakwb eng 670 VZ Su, Hao verfasserin aut A predictive model on surface roughness during internal traverse grinding of small holes 2019 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London Ltd., part of Springer Nature 2019 Abstract The surface roughness of nozzles has important influence on the quality of fuel atomization. The diameter of nozzles in aero engine is generally less than 1 mm. Because of the smaller diameter of the grinding wheel used, its stiffness is poor and thus the wheel tends to deflect under the grinding force. The deflection of grinding wheel has great influence on the actual feed, which ultimately affects the roughness. Therefore, a predictive model of the roughness during internal traverse grinding (ITG) is thus needed. Such a predictive model was established in this paper, in which the deflection of tool and interference of grooves were taken into consideration. In addition, the relationship between roughness and various input variables, namely, the rotating speed, the oscillation speed, the radial feed speed, the feed time, and the spark-out time, was established. Then several groups of experiments with different input variables were carried out to calibrate and validate the model, which demonstrated that the predictive model of surface roughness of ITG in small-hole nozzles has good accuracy, and provides guidance for the optimization of processing parameters. Internal traverse grinding Surface roughness Deflection of grinding wheel Yang, Changyong aut Gao, Shaowu aut Fu, Yucan aut Ding, Wengfeng aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 103(2019), 5-8 vom: 16. Apr., Seite 2069-2077 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:103 year:2019 number:5-8 day:16 month:04 pages:2069-2077 https://doi.org/10.1007/s00170-019-03643-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2018 GBV_ILN_2333 AR 103 2019 5-8 16 04 2069-2077 |
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10.1007/s00170-019-03643-z doi (DE-627)OLC2026140316 (DE-He213)s00170-019-03643-z-p DE-627 ger DE-627 rakwb eng 670 VZ Su, Hao verfasserin aut A predictive model on surface roughness during internal traverse grinding of small holes 2019 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London Ltd., part of Springer Nature 2019 Abstract The surface roughness of nozzles has important influence on the quality of fuel atomization. The diameter of nozzles in aero engine is generally less than 1 mm. Because of the smaller diameter of the grinding wheel used, its stiffness is poor and thus the wheel tends to deflect under the grinding force. The deflection of grinding wheel has great influence on the actual feed, which ultimately affects the roughness. Therefore, a predictive model of the roughness during internal traverse grinding (ITG) is thus needed. Such a predictive model was established in this paper, in which the deflection of tool and interference of grooves were taken into consideration. In addition, the relationship between roughness and various input variables, namely, the rotating speed, the oscillation speed, the radial feed speed, the feed time, and the spark-out time, was established. Then several groups of experiments with different input variables were carried out to calibrate and validate the model, which demonstrated that the predictive model of surface roughness of ITG in small-hole nozzles has good accuracy, and provides guidance for the optimization of processing parameters. Internal traverse grinding Surface roughness Deflection of grinding wheel Yang, Changyong aut Gao, Shaowu aut Fu, Yucan aut Ding, Wengfeng aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 103(2019), 5-8 vom: 16. Apr., Seite 2069-2077 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:103 year:2019 number:5-8 day:16 month:04 pages:2069-2077 https://doi.org/10.1007/s00170-019-03643-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2018 GBV_ILN_2333 AR 103 2019 5-8 16 04 2069-2077 |
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10.1007/s00170-019-03643-z doi (DE-627)OLC2026140316 (DE-He213)s00170-019-03643-z-p DE-627 ger DE-627 rakwb eng 670 VZ Su, Hao verfasserin aut A predictive model on surface roughness during internal traverse grinding of small holes 2019 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London Ltd., part of Springer Nature 2019 Abstract The surface roughness of nozzles has important influence on the quality of fuel atomization. The diameter of nozzles in aero engine is generally less than 1 mm. Because of the smaller diameter of the grinding wheel used, its stiffness is poor and thus the wheel tends to deflect under the grinding force. The deflection of grinding wheel has great influence on the actual feed, which ultimately affects the roughness. Therefore, a predictive model of the roughness during internal traverse grinding (ITG) is thus needed. Such a predictive model was established in this paper, in which the deflection of tool and interference of grooves were taken into consideration. In addition, the relationship between roughness and various input variables, namely, the rotating speed, the oscillation speed, the radial feed speed, the feed time, and the spark-out time, was established. Then several groups of experiments with different input variables were carried out to calibrate and validate the model, which demonstrated that the predictive model of surface roughness of ITG in small-hole nozzles has good accuracy, and provides guidance for the optimization of processing parameters. Internal traverse grinding Surface roughness Deflection of grinding wheel Yang, Changyong aut Gao, Shaowu aut Fu, Yucan aut Ding, Wengfeng aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 103(2019), 5-8 vom: 16. Apr., Seite 2069-2077 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:103 year:2019 number:5-8 day:16 month:04 pages:2069-2077 https://doi.org/10.1007/s00170-019-03643-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_70 GBV_ILN_2018 GBV_ILN_2333 AR 103 2019 5-8 16 04 2069-2077 |
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Abstract The surface roughness of nozzles has important influence on the quality of fuel atomization. The diameter of nozzles in aero engine is generally less than 1 mm. Because of the smaller diameter of the grinding wheel used, its stiffness is poor and thus the wheel tends to deflect under the grinding force. The deflection of grinding wheel has great influence on the actual feed, which ultimately affects the roughness. Therefore, a predictive model of the roughness during internal traverse grinding (ITG) is thus needed. Such a predictive model was established in this paper, in which the deflection of tool and interference of grooves were taken into consideration. In addition, the relationship between roughness and various input variables, namely, the rotating speed, the oscillation speed, the radial feed speed, the feed time, and the spark-out time, was established. Then several groups of experiments with different input variables were carried out to calibrate and validate the model, which demonstrated that the predictive model of surface roughness of ITG in small-hole nozzles has good accuracy, and provides guidance for the optimization of processing parameters. © Springer-Verlag London Ltd., part of Springer Nature 2019 |
| abstractGer |
Abstract The surface roughness of nozzles has important influence on the quality of fuel atomization. The diameter of nozzles in aero engine is generally less than 1 mm. Because of the smaller diameter of the grinding wheel used, its stiffness is poor and thus the wheel tends to deflect under the grinding force. The deflection of grinding wheel has great influence on the actual feed, which ultimately affects the roughness. Therefore, a predictive model of the roughness during internal traverse grinding (ITG) is thus needed. Such a predictive model was established in this paper, in which the deflection of tool and interference of grooves were taken into consideration. In addition, the relationship between roughness and various input variables, namely, the rotating speed, the oscillation speed, the radial feed speed, the feed time, and the spark-out time, was established. Then several groups of experiments with different input variables were carried out to calibrate and validate the model, which demonstrated that the predictive model of surface roughness of ITG in small-hole nozzles has good accuracy, and provides guidance for the optimization of processing parameters. © Springer-Verlag London Ltd., part of Springer Nature 2019 |
| abstract_unstemmed |
Abstract The surface roughness of nozzles has important influence on the quality of fuel atomization. The diameter of nozzles in aero engine is generally less than 1 mm. Because of the smaller diameter of the grinding wheel used, its stiffness is poor and thus the wheel tends to deflect under the grinding force. The deflection of grinding wheel has great influence on the actual feed, which ultimately affects the roughness. Therefore, a predictive model of the roughness during internal traverse grinding (ITG) is thus needed. Such a predictive model was established in this paper, in which the deflection of tool and interference of grooves were taken into consideration. In addition, the relationship between roughness and various input variables, namely, the rotating speed, the oscillation speed, the radial feed speed, the feed time, and the spark-out time, was established. Then several groups of experiments with different input variables were carried out to calibrate and validate the model, which demonstrated that the predictive model of surface roughness of ITG in small-hole nozzles has good accuracy, and provides guidance for the optimization of processing parameters. © Springer-Verlag London Ltd., part of Springer Nature 2019 |
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A predictive model on surface roughness during internal traverse grinding of small holes |
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Yang, Changyong Gao, Shaowu Fu, Yucan Ding, Wengfeng |
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Yang, Changyong Gao, Shaowu Fu, Yucan Ding, Wengfeng |
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2024-07-04T03:12:47.439Z |
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