Modeling of Time-Varying Surface Roughness Considering Wear Overlap Per Tooth in Ball End Finish Milling
Abstract In multi-axis ball end finish milling, the continuous change in cutting contact points produces complex wear overlapping zones. Moreover, each flute bears different actual cutting depths and contact points leading to inconsistent wear overlap distribution per tooth, which significantly affe...
Ausführliche Beschreibung
Autor*in: |
Cheng, De-Jun [verfasserIn] Quan, Hong-Jie [verfasserIn] Kim, Su-Jin [verfasserIn] Zhang, Sheng-Wen [verfasserIn] Zhang, Chun-Yan [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2021 |
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Schlagwörter: |
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Anmerkung: |
© King Fahd University of Petroleum & Minerals 2021 |
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Übergeordnetes Werk: |
Enthalten in: The Arabian journal for science and engineering - Berlin : Springer, 2011, 46(2021), 12 vom: 13. Juli, Seite 12309-12330 |
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Übergeordnetes Werk: |
volume:46 ; year:2021 ; number:12 ; day:13 ; month:07 ; pages:12309-12330 |
Links: |
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DOI / URN: |
10.1007/s13369-021-05920-0 |
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Katalog-ID: |
SPR045406014 |
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520 | |a Abstract In multi-axis ball end finish milling, the continuous change in cutting contact points produces complex wear overlapping zones. Moreover, each flute bears different actual cutting depths and contact points leading to inconsistent wear overlap distribution per tooth, which significantly affects the surface quality. Therefore, it is necessary to consider the wear overlap distribution per tooth to improve the surface roughness prediction accuracy. To address this issue, a time-varying surface roughness model is proposed considering wear overlap distribution per tooth. First, the model of wear overlap distribution per tooth considering the actual cutting depth and contact point is developed using the combined effects of the milling mechanism per tooth and the element wear model through the worn cutting edge trajectory. Then, the wear overlap distribution per tooth is embedded in the theoretical model of surface roughness through the geometric relationship of tool–workpiece engagement and milling radius model of worn cutter per flute under wear overlapping zones. Finally, the proposed method is validated through a case study. The testing results demonstrate that the wear overlap distribution per tooth and machined surface roughness could be forecasted exactly and effectively by the proposed method. | ||
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650 | 4 | |a Wear overlap distribution per tooth |7 (dpeaa)DE-He213 | |
650 | 4 | |a Milling radius per tooth |7 (dpeaa)DE-He213 | |
650 | 4 | |a Tool runout |7 (dpeaa)DE-He213 | |
650 | 4 | |a Wear overlapping zones |7 (dpeaa)DE-He213 | |
700 | 1 | |a Quan, Hong-Jie |e verfasserin |4 aut | |
700 | 1 | |a Kim, Su-Jin |e verfasserin |4 aut | |
700 | 1 | |a Zhang, Sheng-Wen |e verfasserin |4 aut | |
700 | 1 | |a Zhang, Chun-Yan |e verfasserin |4 aut | |
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10.1007/s13369-021-05920-0 doi (DE-627)SPR045406014 (SPR)s13369-021-05920-0-e DE-627 ger DE-627 rakwb eng 600 500 ASE 31.00 bkl Cheng, De-Jun verfasserin aut Modeling of Time-Varying Surface Roughness Considering Wear Overlap Per Tooth in Ball End Finish Milling 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © King Fahd University of Petroleum & Minerals 2021 Abstract In multi-axis ball end finish milling, the continuous change in cutting contact points produces complex wear overlapping zones. Moreover, each flute bears different actual cutting depths and contact points leading to inconsistent wear overlap distribution per tooth, which significantly affects the surface quality. Therefore, it is necessary to consider the wear overlap distribution per tooth to improve the surface roughness prediction accuracy. To address this issue, a time-varying surface roughness model is proposed considering wear overlap distribution per tooth. First, the model of wear overlap distribution per tooth considering the actual cutting depth and contact point is developed using the combined effects of the milling mechanism per tooth and the element wear model through the worn cutting edge trajectory. Then, the wear overlap distribution per tooth is embedded in the theoretical model of surface roughness through the geometric relationship of tool–workpiece engagement and milling radius model of worn cutter per flute under wear overlapping zones. Finally, the proposed method is validated through a case study. The testing results demonstrate that the wear overlap distribution per tooth and machined surface roughness could be forecasted exactly and effectively by the proposed method. Surface roughness (dpeaa)DE-He213 Wear overlap distribution per tooth (dpeaa)DE-He213 Milling radius per tooth (dpeaa)DE-He213 Tool runout (dpeaa)DE-He213 Wear overlapping zones (dpeaa)DE-He213 Quan, Hong-Jie verfasserin aut Kim, Su-Jin verfasserin aut Zhang, Sheng-Wen verfasserin aut Zhang, Chun-Yan verfasserin aut Enthalten in The Arabian journal for science and engineering Berlin : Springer, 2011 46(2021), 12 vom: 13. Juli, Seite 12309-12330 (DE-627)588780731 (DE-600)2471504-9 2191-4281 nnns volume:46 year:2021 number:12 day:13 month:07 pages:12309-12330 https://dx.doi.org/10.1007/s13369-021-05920-0 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_65 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_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_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_2118 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_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_4126 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 31.00 ASE AR 46 2021 12 13 07 12309-12330 |
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10.1007/s13369-021-05920-0 doi (DE-627)SPR045406014 (SPR)s13369-021-05920-0-e DE-627 ger DE-627 rakwb eng 600 500 ASE 31.00 bkl Cheng, De-Jun verfasserin aut Modeling of Time-Varying Surface Roughness Considering Wear Overlap Per Tooth in Ball End Finish Milling 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © King Fahd University of Petroleum & Minerals 2021 Abstract In multi-axis ball end finish milling, the continuous change in cutting contact points produces complex wear overlapping zones. Moreover, each flute bears different actual cutting depths and contact points leading to inconsistent wear overlap distribution per tooth, which significantly affects the surface quality. Therefore, it is necessary to consider the wear overlap distribution per tooth to improve the surface roughness prediction accuracy. To address this issue, a time-varying surface roughness model is proposed considering wear overlap distribution per tooth. First, the model of wear overlap distribution per tooth considering the actual cutting depth and contact point is developed using the combined effects of the milling mechanism per tooth and the element wear model through the worn cutting edge trajectory. Then, the wear overlap distribution per tooth is embedded in the theoretical model of surface roughness through the geometric relationship of tool–workpiece engagement and milling radius model of worn cutter per flute under wear overlapping zones. Finally, the proposed method is validated through a case study. The testing results demonstrate that the wear overlap distribution per tooth and machined surface roughness could be forecasted exactly and effectively by the proposed method. Surface roughness (dpeaa)DE-He213 Wear overlap distribution per tooth (dpeaa)DE-He213 Milling radius per tooth (dpeaa)DE-He213 Tool runout (dpeaa)DE-He213 Wear overlapping zones (dpeaa)DE-He213 Quan, Hong-Jie verfasserin aut Kim, Su-Jin verfasserin aut Zhang, Sheng-Wen verfasserin aut Zhang, Chun-Yan verfasserin aut Enthalten in The Arabian journal for science and engineering Berlin : Springer, 2011 46(2021), 12 vom: 13. Juli, Seite 12309-12330 (DE-627)588780731 (DE-600)2471504-9 2191-4281 nnns volume:46 year:2021 number:12 day:13 month:07 pages:12309-12330 https://dx.doi.org/10.1007/s13369-021-05920-0 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_65 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_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_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_2118 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_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_4126 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 31.00 ASE AR 46 2021 12 13 07 12309-12330 |
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10.1007/s13369-021-05920-0 doi (DE-627)SPR045406014 (SPR)s13369-021-05920-0-e DE-627 ger DE-627 rakwb eng 600 500 ASE 31.00 bkl Cheng, De-Jun verfasserin aut Modeling of Time-Varying Surface Roughness Considering Wear Overlap Per Tooth in Ball End Finish Milling 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © King Fahd University of Petroleum & Minerals 2021 Abstract In multi-axis ball end finish milling, the continuous change in cutting contact points produces complex wear overlapping zones. Moreover, each flute bears different actual cutting depths and contact points leading to inconsistent wear overlap distribution per tooth, which significantly affects the surface quality. Therefore, it is necessary to consider the wear overlap distribution per tooth to improve the surface roughness prediction accuracy. To address this issue, a time-varying surface roughness model is proposed considering wear overlap distribution per tooth. First, the model of wear overlap distribution per tooth considering the actual cutting depth and contact point is developed using the combined effects of the milling mechanism per tooth and the element wear model through the worn cutting edge trajectory. Then, the wear overlap distribution per tooth is embedded in the theoretical model of surface roughness through the geometric relationship of tool–workpiece engagement and milling radius model of worn cutter per flute under wear overlapping zones. Finally, the proposed method is validated through a case study. The testing results demonstrate that the wear overlap distribution per tooth and machined surface roughness could be forecasted exactly and effectively by the proposed method. Surface roughness (dpeaa)DE-He213 Wear overlap distribution per tooth (dpeaa)DE-He213 Milling radius per tooth (dpeaa)DE-He213 Tool runout (dpeaa)DE-He213 Wear overlapping zones (dpeaa)DE-He213 Quan, Hong-Jie verfasserin aut Kim, Su-Jin verfasserin aut Zhang, Sheng-Wen verfasserin aut Zhang, Chun-Yan verfasserin aut Enthalten in The Arabian journal for science and engineering Berlin : Springer, 2011 46(2021), 12 vom: 13. Juli, Seite 12309-12330 (DE-627)588780731 (DE-600)2471504-9 2191-4281 nnns volume:46 year:2021 number:12 day:13 month:07 pages:12309-12330 https://dx.doi.org/10.1007/s13369-021-05920-0 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_65 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_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_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_2118 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_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_4126 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 31.00 ASE AR 46 2021 12 13 07 12309-12330 |
allfieldsGer |
10.1007/s13369-021-05920-0 doi (DE-627)SPR045406014 (SPR)s13369-021-05920-0-e DE-627 ger DE-627 rakwb eng 600 500 ASE 31.00 bkl Cheng, De-Jun verfasserin aut Modeling of Time-Varying Surface Roughness Considering Wear Overlap Per Tooth in Ball End Finish Milling 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © King Fahd University of Petroleum & Minerals 2021 Abstract In multi-axis ball end finish milling, the continuous change in cutting contact points produces complex wear overlapping zones. Moreover, each flute bears different actual cutting depths and contact points leading to inconsistent wear overlap distribution per tooth, which significantly affects the surface quality. Therefore, it is necessary to consider the wear overlap distribution per tooth to improve the surface roughness prediction accuracy. To address this issue, a time-varying surface roughness model is proposed considering wear overlap distribution per tooth. First, the model of wear overlap distribution per tooth considering the actual cutting depth and contact point is developed using the combined effects of the milling mechanism per tooth and the element wear model through the worn cutting edge trajectory. Then, the wear overlap distribution per tooth is embedded in the theoretical model of surface roughness through the geometric relationship of tool–workpiece engagement and milling radius model of worn cutter per flute under wear overlapping zones. Finally, the proposed method is validated through a case study. The testing results demonstrate that the wear overlap distribution per tooth and machined surface roughness could be forecasted exactly and effectively by the proposed method. Surface roughness (dpeaa)DE-He213 Wear overlap distribution per tooth (dpeaa)DE-He213 Milling radius per tooth (dpeaa)DE-He213 Tool runout (dpeaa)DE-He213 Wear overlapping zones (dpeaa)DE-He213 Quan, Hong-Jie verfasserin aut Kim, Su-Jin verfasserin aut Zhang, Sheng-Wen verfasserin aut Zhang, Chun-Yan verfasserin aut Enthalten in The Arabian journal for science and engineering Berlin : Springer, 2011 46(2021), 12 vom: 13. Juli, Seite 12309-12330 (DE-627)588780731 (DE-600)2471504-9 2191-4281 nnns volume:46 year:2021 number:12 day:13 month:07 pages:12309-12330 https://dx.doi.org/10.1007/s13369-021-05920-0 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_65 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_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_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_2118 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_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_4126 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 31.00 ASE AR 46 2021 12 13 07 12309-12330 |
allfieldsSound |
10.1007/s13369-021-05920-0 doi (DE-627)SPR045406014 (SPR)s13369-021-05920-0-e DE-627 ger DE-627 rakwb eng 600 500 ASE 31.00 bkl Cheng, De-Jun verfasserin aut Modeling of Time-Varying Surface Roughness Considering Wear Overlap Per Tooth in Ball End Finish Milling 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © King Fahd University of Petroleum & Minerals 2021 Abstract In multi-axis ball end finish milling, the continuous change in cutting contact points produces complex wear overlapping zones. Moreover, each flute bears different actual cutting depths and contact points leading to inconsistent wear overlap distribution per tooth, which significantly affects the surface quality. Therefore, it is necessary to consider the wear overlap distribution per tooth to improve the surface roughness prediction accuracy. To address this issue, a time-varying surface roughness model is proposed considering wear overlap distribution per tooth. First, the model of wear overlap distribution per tooth considering the actual cutting depth and contact point is developed using the combined effects of the milling mechanism per tooth and the element wear model through the worn cutting edge trajectory. Then, the wear overlap distribution per tooth is embedded in the theoretical model of surface roughness through the geometric relationship of tool–workpiece engagement and milling radius model of worn cutter per flute under wear overlapping zones. Finally, the proposed method is validated through a case study. The testing results demonstrate that the wear overlap distribution per tooth and machined surface roughness could be forecasted exactly and effectively by the proposed method. Surface roughness (dpeaa)DE-He213 Wear overlap distribution per tooth (dpeaa)DE-He213 Milling radius per tooth (dpeaa)DE-He213 Tool runout (dpeaa)DE-He213 Wear overlapping zones (dpeaa)DE-He213 Quan, Hong-Jie verfasserin aut Kim, Su-Jin verfasserin aut Zhang, Sheng-Wen verfasserin aut Zhang, Chun-Yan verfasserin aut Enthalten in The Arabian journal for science and engineering Berlin : Springer, 2011 46(2021), 12 vom: 13. Juli, Seite 12309-12330 (DE-627)588780731 (DE-600)2471504-9 2191-4281 nnns volume:46 year:2021 number:12 day:13 month:07 pages:12309-12330 https://dx.doi.org/10.1007/s13369-021-05920-0 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_65 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_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_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_2118 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_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_4126 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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 31.00 ASE AR 46 2021 12 13 07 12309-12330 |
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Moreover, each flute bears different actual cutting depths and contact points leading to inconsistent wear overlap distribution per tooth, which significantly affects the surface quality. Therefore, it is necessary to consider the wear overlap distribution per tooth to improve the surface roughness prediction accuracy. To address this issue, a time-varying surface roughness model is proposed considering wear overlap distribution per tooth. First, the model of wear overlap distribution per tooth considering the actual cutting depth and contact point is developed using the combined effects of the milling mechanism per tooth and the element wear model through the worn cutting edge trajectory. Then, the wear overlap distribution per tooth is embedded in the theoretical model of surface roughness through the geometric relationship of tool–workpiece engagement and milling radius model of worn cutter per flute under wear overlapping zones. Finally, the proposed method is validated through a case study. 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|
author |
Cheng, De-Jun |
spellingShingle |
Cheng, De-Jun ddc 600 bkl 31.00 misc Surface roughness misc Wear overlap distribution per tooth misc Milling radius per tooth misc Tool runout misc Wear overlapping zones Modeling of Time-Varying Surface Roughness Considering Wear Overlap Per Tooth in Ball End Finish Milling |
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600 500 ASE 31.00 bkl Modeling of Time-Varying Surface Roughness Considering Wear Overlap Per Tooth in Ball End Finish Milling Surface roughness (dpeaa)DE-He213 Wear overlap distribution per tooth (dpeaa)DE-He213 Milling radius per tooth (dpeaa)DE-He213 Tool runout (dpeaa)DE-He213 Wear overlapping zones (dpeaa)DE-He213 |
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ddc 600 bkl 31.00 misc Surface roughness misc Wear overlap distribution per tooth misc Milling radius per tooth misc Tool runout misc Wear overlapping zones |
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ddc 600 bkl 31.00 misc Surface roughness misc Wear overlap distribution per tooth misc Milling radius per tooth misc Tool runout misc Wear overlapping zones |
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Modeling of Time-Varying Surface Roughness Considering Wear Overlap Per Tooth in Ball End Finish Milling |
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Modeling of Time-Varying Surface Roughness Considering Wear Overlap Per Tooth in Ball End Finish Milling |
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Cheng, De-Jun Quan, Hong-Jie Kim, Su-Jin Zhang, Sheng-Wen Zhang, Chun-Yan |
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600 500 ASE 31.00 bkl |
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Cheng, De-Jun |
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modeling of time-varying surface roughness considering wear overlap per tooth in ball end finish milling |
title_auth |
Modeling of Time-Varying Surface Roughness Considering Wear Overlap Per Tooth in Ball End Finish Milling |
abstract |
Abstract In multi-axis ball end finish milling, the continuous change in cutting contact points produces complex wear overlapping zones. Moreover, each flute bears different actual cutting depths and contact points leading to inconsistent wear overlap distribution per tooth, which significantly affects the surface quality. Therefore, it is necessary to consider the wear overlap distribution per tooth to improve the surface roughness prediction accuracy. To address this issue, a time-varying surface roughness model is proposed considering wear overlap distribution per tooth. First, the model of wear overlap distribution per tooth considering the actual cutting depth and contact point is developed using the combined effects of the milling mechanism per tooth and the element wear model through the worn cutting edge trajectory. Then, the wear overlap distribution per tooth is embedded in the theoretical model of surface roughness through the geometric relationship of tool–workpiece engagement and milling radius model of worn cutter per flute under wear overlapping zones. Finally, the proposed method is validated through a case study. The testing results demonstrate that the wear overlap distribution per tooth and machined surface roughness could be forecasted exactly and effectively by the proposed method. © King Fahd University of Petroleum & Minerals 2021 |
abstractGer |
Abstract In multi-axis ball end finish milling, the continuous change in cutting contact points produces complex wear overlapping zones. Moreover, each flute bears different actual cutting depths and contact points leading to inconsistent wear overlap distribution per tooth, which significantly affects the surface quality. Therefore, it is necessary to consider the wear overlap distribution per tooth to improve the surface roughness prediction accuracy. To address this issue, a time-varying surface roughness model is proposed considering wear overlap distribution per tooth. First, the model of wear overlap distribution per tooth considering the actual cutting depth and contact point is developed using the combined effects of the milling mechanism per tooth and the element wear model through the worn cutting edge trajectory. Then, the wear overlap distribution per tooth is embedded in the theoretical model of surface roughness through the geometric relationship of tool–workpiece engagement and milling radius model of worn cutter per flute under wear overlapping zones. Finally, the proposed method is validated through a case study. The testing results demonstrate that the wear overlap distribution per tooth and machined surface roughness could be forecasted exactly and effectively by the proposed method. © King Fahd University of Petroleum & Minerals 2021 |
abstract_unstemmed |
Abstract In multi-axis ball end finish milling, the continuous change in cutting contact points produces complex wear overlapping zones. Moreover, each flute bears different actual cutting depths and contact points leading to inconsistent wear overlap distribution per tooth, which significantly affects the surface quality. Therefore, it is necessary to consider the wear overlap distribution per tooth to improve the surface roughness prediction accuracy. To address this issue, a time-varying surface roughness model is proposed considering wear overlap distribution per tooth. First, the model of wear overlap distribution per tooth considering the actual cutting depth and contact point is developed using the combined effects of the milling mechanism per tooth and the element wear model through the worn cutting edge trajectory. Then, the wear overlap distribution per tooth is embedded in the theoretical model of surface roughness through the geometric relationship of tool–workpiece engagement and milling radius model of worn cutter per flute under wear overlapping zones. Finally, the proposed method is validated through a case study. The testing results demonstrate that the wear overlap distribution per tooth and machined surface roughness could be forecasted exactly and effectively by the proposed method. © King Fahd University of Petroleum & Minerals 2021 |
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12 |
title_short |
Modeling of Time-Varying Surface Roughness Considering Wear Overlap Per Tooth in Ball End Finish Milling |
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https://dx.doi.org/10.1007/s13369-021-05920-0 |
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Quan, Hong-Jie Kim, Su-Jin Zhang, Sheng-Wen Zhang, Chun-Yan |
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Quan, Hong-Jie Kim, Su-Jin Zhang, Sheng-Wen Zhang, Chun-Yan |
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doi_str |
10.1007/s13369-021-05920-0 |
up_date |
2024-07-03T15:47:38.799Z |
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score |
7.401758 |