Geometrical simulation and analysis of ball-end milling surface topography
Abstract Ball-end milling cutter has a strong adaptability and widely used in machining complex surface of parts. However, the geometry of ball-end milling cutter tooth is complex, and contact points between cutter tooth and part are varying constantly during milling process, which lead that it is d...
Ausführliche Beschreibung
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| Autor*in: |
Shujuan, Li [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2019 |
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| Schlagwörter: |
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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 - London : Springer, 1985, 102(2019), 5-8 vom: 15. Jan., Seite 1885-1900 |
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| Übergeordnetes Werk: |
volume:102 ; year:2019 ; number:5-8 ; day:15 ; month:01 ; pages:1885-1900 |
| Links: |
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| DOI / URN: |
10.1007/s00170-018-03217-5 |
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SPR001488678 |
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| 520 | |a Abstract Ball-end milling cutter has a strong adaptability and widely used in machining complex surface of parts. However, the geometry of ball-end milling cutter tooth is complex, and contact points between cutter tooth and part are varying constantly during milling process, which lead that it is difficult to study the surface topography by the traditional experimental method. Based on the time-step method, this paper proposes an improved Z-MAP algorithm to simulate the part surface topography after ball-end milling. On the basis of the cutter tooth movement equation established by homogeneous matrix transformation, the improved Z-MAP algorithm combines servo rectangular encirclement and the angle summation method to quickly obtain the instantaneous swept points that belong to the part, and introduce Newton iterative method to calculate the height of swept points. Comparing to traditional Z-MAP algorithm which discrete segments of cutter tooth can only sweep one discrete point of part during a unit time step, the proposed algorithm need not to disperse cutter tooth, accomplishes higher precision and efficiency. The influence of processing parameters, such as step over, feed per tooth, cutter posture, and cutter tooth initial phase angle difference, upon the surface topography and roughness are analyzed. The experiments are conducted to validate the availability of the proposed algorithm, and the results show that surface topographies simulated by the improved Z-MAP algorithm have a higher consistency with the experiments and costs less time than by the traditional Z-MAP algorithm under the same simulation conditions. Therefore, the proposed algorithm is effective for simulating the machined surface quality in practical production and rational selection of machining parameters. | ||
| 650 | 4 | |a Ball-end milling |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Surface topography |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Improved Z-MAP algorithm |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Simulation analysis |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Dong, Yongheng |4 aut | |
| 700 | 1 | |a Li, Yan |4 aut | |
| 700 | 1 | |a Li, Pengyang |4 aut | |
| 700 | 1 | |a Yang, Zhenchao |4 aut | |
| 700 | 1 | |a Landers, Robert G. |4 aut | |
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10.1007/s00170-018-03217-5 doi (DE-627)SPR001488678 (SPR)s00170-018-03217-5-e DE-627 ger DE-627 rakwb eng Shujuan, Li verfasserin aut Geometrical simulation and analysis of ball-end milling surface topography 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag London Ltd., part of Springer Nature 2019 Abstract Ball-end milling cutter has a strong adaptability and widely used in machining complex surface of parts. However, the geometry of ball-end milling cutter tooth is complex, and contact points between cutter tooth and part are varying constantly during milling process, which lead that it is difficult to study the surface topography by the traditional experimental method. Based on the time-step method, this paper proposes an improved Z-MAP algorithm to simulate the part surface topography after ball-end milling. On the basis of the cutter tooth movement equation established by homogeneous matrix transformation, the improved Z-MAP algorithm combines servo rectangular encirclement and the angle summation method to quickly obtain the instantaneous swept points that belong to the part, and introduce Newton iterative method to calculate the height of swept points. Comparing to traditional Z-MAP algorithm which discrete segments of cutter tooth can only sweep one discrete point of part during a unit time step, the proposed algorithm need not to disperse cutter tooth, accomplishes higher precision and efficiency. The influence of processing parameters, such as step over, feed per tooth, cutter posture, and cutter tooth initial phase angle difference, upon the surface topography and roughness are analyzed. The experiments are conducted to validate the availability of the proposed algorithm, and the results show that surface topographies simulated by the improved Z-MAP algorithm have a higher consistency with the experiments and costs less time than by the traditional Z-MAP algorithm under the same simulation conditions. Therefore, the proposed algorithm is effective for simulating the machined surface quality in practical production and rational selection of machining parameters. Ball-end milling (dpeaa)DE-He213 Surface topography (dpeaa)DE-He213 Improved Z-MAP algorithm (dpeaa)DE-He213 Simulation analysis (dpeaa)DE-He213 Dong, Yongheng aut Li, Yan aut Li, Pengyang aut Yang, Zhenchao aut Landers, Robert G. aut Enthalten in The international journal of advanced manufacturing technology London : Springer, 1985 102(2019), 5-8 vom: 15. Jan., Seite 1885-1900 (DE-627)270127712 (DE-600)1476510-X 1433-3015 nnns volume:102 year:2019 number:5-8 day:15 month:01 pages:1885-1900 https://dx.doi.org/10.1007/s00170-018-03217-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 102 2019 5-8 15 01 1885-1900 |
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10.1007/s00170-018-03217-5 doi (DE-627)SPR001488678 (SPR)s00170-018-03217-5-e DE-627 ger DE-627 rakwb eng Shujuan, Li verfasserin aut Geometrical simulation and analysis of ball-end milling surface topography 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag London Ltd., part of Springer Nature 2019 Abstract Ball-end milling cutter has a strong adaptability and widely used in machining complex surface of parts. However, the geometry of ball-end milling cutter tooth is complex, and contact points between cutter tooth and part are varying constantly during milling process, which lead that it is difficult to study the surface topography by the traditional experimental method. Based on the time-step method, this paper proposes an improved Z-MAP algorithm to simulate the part surface topography after ball-end milling. On the basis of the cutter tooth movement equation established by homogeneous matrix transformation, the improved Z-MAP algorithm combines servo rectangular encirclement and the angle summation method to quickly obtain the instantaneous swept points that belong to the part, and introduce Newton iterative method to calculate the height of swept points. Comparing to traditional Z-MAP algorithm which discrete segments of cutter tooth can only sweep one discrete point of part during a unit time step, the proposed algorithm need not to disperse cutter tooth, accomplishes higher precision and efficiency. The influence of processing parameters, such as step over, feed per tooth, cutter posture, and cutter tooth initial phase angle difference, upon the surface topography and roughness are analyzed. The experiments are conducted to validate the availability of the proposed algorithm, and the results show that surface topographies simulated by the improved Z-MAP algorithm have a higher consistency with the experiments and costs less time than by the traditional Z-MAP algorithm under the same simulation conditions. Therefore, the proposed algorithm is effective for simulating the machined surface quality in practical production and rational selection of machining parameters. Ball-end milling (dpeaa)DE-He213 Surface topography (dpeaa)DE-He213 Improved Z-MAP algorithm (dpeaa)DE-He213 Simulation analysis (dpeaa)DE-He213 Dong, Yongheng aut Li, Yan aut Li, Pengyang aut Yang, Zhenchao aut Landers, Robert G. aut Enthalten in The international journal of advanced manufacturing technology London : Springer, 1985 102(2019), 5-8 vom: 15. Jan., Seite 1885-1900 (DE-627)270127712 (DE-600)1476510-X 1433-3015 nnns volume:102 year:2019 number:5-8 day:15 month:01 pages:1885-1900 https://dx.doi.org/10.1007/s00170-018-03217-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 102 2019 5-8 15 01 1885-1900 |
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10.1007/s00170-018-03217-5 doi (DE-627)SPR001488678 (SPR)s00170-018-03217-5-e DE-627 ger DE-627 rakwb eng Shujuan, Li verfasserin aut Geometrical simulation and analysis of ball-end milling surface topography 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag London Ltd., part of Springer Nature 2019 Abstract Ball-end milling cutter has a strong adaptability and widely used in machining complex surface of parts. However, the geometry of ball-end milling cutter tooth is complex, and contact points between cutter tooth and part are varying constantly during milling process, which lead that it is difficult to study the surface topography by the traditional experimental method. Based on the time-step method, this paper proposes an improved Z-MAP algorithm to simulate the part surface topography after ball-end milling. On the basis of the cutter tooth movement equation established by homogeneous matrix transformation, the improved Z-MAP algorithm combines servo rectangular encirclement and the angle summation method to quickly obtain the instantaneous swept points that belong to the part, and introduce Newton iterative method to calculate the height of swept points. Comparing to traditional Z-MAP algorithm which discrete segments of cutter tooth can only sweep one discrete point of part during a unit time step, the proposed algorithm need not to disperse cutter tooth, accomplishes higher precision and efficiency. The influence of processing parameters, such as step over, feed per tooth, cutter posture, and cutter tooth initial phase angle difference, upon the surface topography and roughness are analyzed. The experiments are conducted to validate the availability of the proposed algorithm, and the results show that surface topographies simulated by the improved Z-MAP algorithm have a higher consistency with the experiments and costs less time than by the traditional Z-MAP algorithm under the same simulation conditions. Therefore, the proposed algorithm is effective for simulating the machined surface quality in practical production and rational selection of machining parameters. Ball-end milling (dpeaa)DE-He213 Surface topography (dpeaa)DE-He213 Improved Z-MAP algorithm (dpeaa)DE-He213 Simulation analysis (dpeaa)DE-He213 Dong, Yongheng aut Li, Yan aut Li, Pengyang aut Yang, Zhenchao aut Landers, Robert G. aut Enthalten in The international journal of advanced manufacturing technology London : Springer, 1985 102(2019), 5-8 vom: 15. Jan., Seite 1885-1900 (DE-627)270127712 (DE-600)1476510-X 1433-3015 nnns volume:102 year:2019 number:5-8 day:15 month:01 pages:1885-1900 https://dx.doi.org/10.1007/s00170-018-03217-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 102 2019 5-8 15 01 1885-1900 |
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10.1007/s00170-018-03217-5 doi (DE-627)SPR001488678 (SPR)s00170-018-03217-5-e DE-627 ger DE-627 rakwb eng Shujuan, Li verfasserin aut Geometrical simulation and analysis of ball-end milling surface topography 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag London Ltd., part of Springer Nature 2019 Abstract Ball-end milling cutter has a strong adaptability and widely used in machining complex surface of parts. However, the geometry of ball-end milling cutter tooth is complex, and contact points between cutter tooth and part are varying constantly during milling process, which lead that it is difficult to study the surface topography by the traditional experimental method. Based on the time-step method, this paper proposes an improved Z-MAP algorithm to simulate the part surface topography after ball-end milling. On the basis of the cutter tooth movement equation established by homogeneous matrix transformation, the improved Z-MAP algorithm combines servo rectangular encirclement and the angle summation method to quickly obtain the instantaneous swept points that belong to the part, and introduce Newton iterative method to calculate the height of swept points. Comparing to traditional Z-MAP algorithm which discrete segments of cutter tooth can only sweep one discrete point of part during a unit time step, the proposed algorithm need not to disperse cutter tooth, accomplishes higher precision and efficiency. The influence of processing parameters, such as step over, feed per tooth, cutter posture, and cutter tooth initial phase angle difference, upon the surface topography and roughness are analyzed. The experiments are conducted to validate the availability of the proposed algorithm, and the results show that surface topographies simulated by the improved Z-MAP algorithm have a higher consistency with the experiments and costs less time than by the traditional Z-MAP algorithm under the same simulation conditions. Therefore, the proposed algorithm is effective for simulating the machined surface quality in practical production and rational selection of machining parameters. Ball-end milling (dpeaa)DE-He213 Surface topography (dpeaa)DE-He213 Improved Z-MAP algorithm (dpeaa)DE-He213 Simulation analysis (dpeaa)DE-He213 Dong, Yongheng aut Li, Yan aut Li, Pengyang aut Yang, Zhenchao aut Landers, Robert G. aut Enthalten in The international journal of advanced manufacturing technology London : Springer, 1985 102(2019), 5-8 vom: 15. Jan., Seite 1885-1900 (DE-627)270127712 (DE-600)1476510-X 1433-3015 nnns volume:102 year:2019 number:5-8 day:15 month:01 pages:1885-1900 https://dx.doi.org/10.1007/s00170-018-03217-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 102 2019 5-8 15 01 1885-1900 |
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10.1007/s00170-018-03217-5 doi (DE-627)SPR001488678 (SPR)s00170-018-03217-5-e DE-627 ger DE-627 rakwb eng Shujuan, Li verfasserin aut Geometrical simulation and analysis of ball-end milling surface topography 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Springer-Verlag London Ltd., part of Springer Nature 2019 Abstract Ball-end milling cutter has a strong adaptability and widely used in machining complex surface of parts. However, the geometry of ball-end milling cutter tooth is complex, and contact points between cutter tooth and part are varying constantly during milling process, which lead that it is difficult to study the surface topography by the traditional experimental method. Based on the time-step method, this paper proposes an improved Z-MAP algorithm to simulate the part surface topography after ball-end milling. On the basis of the cutter tooth movement equation established by homogeneous matrix transformation, the improved Z-MAP algorithm combines servo rectangular encirclement and the angle summation method to quickly obtain the instantaneous swept points that belong to the part, and introduce Newton iterative method to calculate the height of swept points. Comparing to traditional Z-MAP algorithm which discrete segments of cutter tooth can only sweep one discrete point of part during a unit time step, the proposed algorithm need not to disperse cutter tooth, accomplishes higher precision and efficiency. The influence of processing parameters, such as step over, feed per tooth, cutter posture, and cutter tooth initial phase angle difference, upon the surface topography and roughness are analyzed. The experiments are conducted to validate the availability of the proposed algorithm, and the results show that surface topographies simulated by the improved Z-MAP algorithm have a higher consistency with the experiments and costs less time than by the traditional Z-MAP algorithm under the same simulation conditions. Therefore, the proposed algorithm is effective for simulating the machined surface quality in practical production and rational selection of machining parameters. Ball-end milling (dpeaa)DE-He213 Surface topography (dpeaa)DE-He213 Improved Z-MAP algorithm (dpeaa)DE-He213 Simulation analysis (dpeaa)DE-He213 Dong, Yongheng aut Li, Yan aut Li, Pengyang aut Yang, Zhenchao aut Landers, Robert G. aut Enthalten in The international journal of advanced manufacturing technology London : Springer, 1985 102(2019), 5-8 vom: 15. Jan., Seite 1885-1900 (DE-627)270127712 (DE-600)1476510-X 1433-3015 nnns volume:102 year:2019 number:5-8 day:15 month:01 pages:1885-1900 https://dx.doi.org/10.1007/s00170-018-03217-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 102 2019 5-8 15 01 1885-1900 |
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Shujuan, Li @@aut@@ Dong, Yongheng @@aut@@ Li, Yan @@aut@@ Li, Pengyang @@aut@@ Yang, Zhenchao @@aut@@ Landers, Robert G. @@aut@@ |
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However, the geometry of ball-end milling cutter tooth is complex, and contact points between cutter tooth and part are varying constantly during milling process, which lead that it is difficult to study the surface topography by the traditional experimental method. Based on the time-step method, this paper proposes an improved Z-MAP algorithm to simulate the part surface topography after ball-end milling. On the basis of the cutter tooth movement equation established by homogeneous matrix transformation, the improved Z-MAP algorithm combines servo rectangular encirclement and the angle summation method to quickly obtain the instantaneous swept points that belong to the part, and introduce Newton iterative method to calculate the height of swept points. Comparing to traditional Z-MAP algorithm which discrete segments of cutter tooth can only sweep one discrete point of part during a unit time step, the proposed algorithm need not to disperse cutter tooth, accomplishes higher precision and efficiency. The influence of processing parameters, such as step over, feed per tooth, cutter posture, and cutter tooth initial phase angle difference, upon the surface topography and roughness are analyzed. The experiments are conducted to validate the availability of the proposed algorithm, and the results show that surface topographies simulated by the improved Z-MAP algorithm have a higher consistency with the experiments and costs less time than by the traditional Z-MAP algorithm under the same simulation conditions. 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Shujuan, Li |
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Shujuan, Li misc Ball-end milling misc Surface topography misc Improved Z-MAP algorithm misc Simulation analysis Geometrical simulation and analysis of ball-end milling surface topography |
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Geometrical simulation and analysis of ball-end milling surface topography Ball-end milling (dpeaa)DE-He213 Surface topography (dpeaa)DE-He213 Improved Z-MAP algorithm (dpeaa)DE-He213 Simulation analysis (dpeaa)DE-He213 |
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geometrical simulation and analysis of ball-end milling surface topography |
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Geometrical simulation and analysis of ball-end milling surface topography |
| abstract |
Abstract Ball-end milling cutter has a strong adaptability and widely used in machining complex surface of parts. However, the geometry of ball-end milling cutter tooth is complex, and contact points between cutter tooth and part are varying constantly during milling process, which lead that it is difficult to study the surface topography by the traditional experimental method. Based on the time-step method, this paper proposes an improved Z-MAP algorithm to simulate the part surface topography after ball-end milling. On the basis of the cutter tooth movement equation established by homogeneous matrix transformation, the improved Z-MAP algorithm combines servo rectangular encirclement and the angle summation method to quickly obtain the instantaneous swept points that belong to the part, and introduce Newton iterative method to calculate the height of swept points. Comparing to traditional Z-MAP algorithm which discrete segments of cutter tooth can only sweep one discrete point of part during a unit time step, the proposed algorithm need not to disperse cutter tooth, accomplishes higher precision and efficiency. The influence of processing parameters, such as step over, feed per tooth, cutter posture, and cutter tooth initial phase angle difference, upon the surface topography and roughness are analyzed. The experiments are conducted to validate the availability of the proposed algorithm, and the results show that surface topographies simulated by the improved Z-MAP algorithm have a higher consistency with the experiments and costs less time than by the traditional Z-MAP algorithm under the same simulation conditions. Therefore, the proposed algorithm is effective for simulating the machined surface quality in practical production and rational selection of machining parameters. © Springer-Verlag London Ltd., part of Springer Nature 2019 |
| abstractGer |
Abstract Ball-end milling cutter has a strong adaptability and widely used in machining complex surface of parts. However, the geometry of ball-end milling cutter tooth is complex, and contact points between cutter tooth and part are varying constantly during milling process, which lead that it is difficult to study the surface topography by the traditional experimental method. Based on the time-step method, this paper proposes an improved Z-MAP algorithm to simulate the part surface topography after ball-end milling. On the basis of the cutter tooth movement equation established by homogeneous matrix transformation, the improved Z-MAP algorithm combines servo rectangular encirclement and the angle summation method to quickly obtain the instantaneous swept points that belong to the part, and introduce Newton iterative method to calculate the height of swept points. Comparing to traditional Z-MAP algorithm which discrete segments of cutter tooth can only sweep one discrete point of part during a unit time step, the proposed algorithm need not to disperse cutter tooth, accomplishes higher precision and efficiency. The influence of processing parameters, such as step over, feed per tooth, cutter posture, and cutter tooth initial phase angle difference, upon the surface topography and roughness are analyzed. The experiments are conducted to validate the availability of the proposed algorithm, and the results show that surface topographies simulated by the improved Z-MAP algorithm have a higher consistency with the experiments and costs less time than by the traditional Z-MAP algorithm under the same simulation conditions. Therefore, the proposed algorithm is effective for simulating the machined surface quality in practical production and rational selection of machining parameters. © Springer-Verlag London Ltd., part of Springer Nature 2019 |
| abstract_unstemmed |
Abstract Ball-end milling cutter has a strong adaptability and widely used in machining complex surface of parts. However, the geometry of ball-end milling cutter tooth is complex, and contact points between cutter tooth and part are varying constantly during milling process, which lead that it is difficult to study the surface topography by the traditional experimental method. Based on the time-step method, this paper proposes an improved Z-MAP algorithm to simulate the part surface topography after ball-end milling. On the basis of the cutter tooth movement equation established by homogeneous matrix transformation, the improved Z-MAP algorithm combines servo rectangular encirclement and the angle summation method to quickly obtain the instantaneous swept points that belong to the part, and introduce Newton iterative method to calculate the height of swept points. Comparing to traditional Z-MAP algorithm which discrete segments of cutter tooth can only sweep one discrete point of part during a unit time step, the proposed algorithm need not to disperse cutter tooth, accomplishes higher precision and efficiency. The influence of processing parameters, such as step over, feed per tooth, cutter posture, and cutter tooth initial phase angle difference, upon the surface topography and roughness are analyzed. The experiments are conducted to validate the availability of the proposed algorithm, and the results show that surface topographies simulated by the improved Z-MAP algorithm have a higher consistency with the experiments and costs less time than by the traditional Z-MAP algorithm under the same simulation conditions. Therefore, the proposed algorithm is effective for simulating the machined surface quality in practical production and rational selection of machining parameters. © Springer-Verlag London Ltd., part of Springer Nature 2019 |
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Geometrical simulation and analysis of ball-end milling surface topography |
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https://dx.doi.org/10.1007/s00170-018-03217-5 |
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Dong, Yongheng Li, Yan Li, Pengyang Yang, Zhenchao Landers, Robert G. |
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Dong, Yongheng Li, Yan Li, Pengyang Yang, Zhenchao Landers, Robert G. |
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10.1007/s00170-018-03217-5 |
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2024-07-03T22:54:41.120Z |
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| score |
7.401326 |