Robust design method for optimizing the static accuracy of a vertical machining center
Abstract In this paper, a robust design method for optimizing the static accuracy of a vertical machining center is proposed. First, the accuracy prediction model was established using screw theory to determine the output accuracy of the machine tool, which was verified by using a DBB and laser inte...
Ausführliche Beschreibung
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| Autor*in: |
Wu, Haorong [verfasserIn] Zheng, Hualin [verfasserIn] Li, Xiaoxiao [verfasserIn] Rong, Maolin [verfasserIn] Fan, Jia [verfasserIn] Meng, Xiaoping [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: The international journal of advanced manufacturing technology - London : Springer, 1985, 109(2020), 7-8 vom: 24. Juli, Seite 2009-2022 |
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| Übergeordnetes Werk: |
volume:109 ; year:2020 ; number:7-8 ; day:24 ; month:07 ; pages:2009-2022 |
| Links: |
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| DOI / URN: |
10.1007/s00170-020-05596-0 |
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| Katalog-ID: |
SPR040560120 |
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| 520 | |a Abstract In this paper, a robust design method for optimizing the static accuracy of a vertical machining center is proposed. First, the accuracy prediction model was established using screw theory to determine the output accuracy of the machine tool, which was verified by using a DBB and laser interferometer. Then, combining the machine tool’s output accuracy and accuracy design requirements to identify the performance equation of the machining accuracy, a model to calculate machining accuracy reliability is derived. Because the reliability calculation model is highly nonlinear, this paper uses response surface methodology to obtain a highly approximate solution for reliability, and the worst reliable working position can also be found from this. On this basis, according to the sensitivity analysis of machining accuracy reliability, the key distribution parameters of geometric error elements that have an important impact are identified. According to the principle of accuracy balance, the error distribution parameters are reasonably adjusted to reduce the effect of errors on the reliability to create a robust design for optimizing the machine tool static accuracy. The research results show that the method proposed only needs to optimize the error distribution parameters five times to make the machining accuracy reliability meet design requirements. | ||
| 650 | 4 | |a Static accuracy design |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Screw theory |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Reliability theory |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Response surface methodology |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Reliability sensitivity |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Zheng, Hualin |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Xiaoxiao |e verfasserin |4 aut | |
| 700 | 1 | |a Rong, Maolin |e verfasserin |4 aut | |
| 700 | 1 | |a Fan, Jia |e verfasserin |4 aut | |
| 700 | 1 | |a Meng, Xiaoping |e verfasserin |4 aut | |
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10.1007/s00170-020-05596-0 doi (DE-627)SPR040560120 (SPR)s00170-020-05596-0-e DE-627 ger DE-627 rakwb eng 670 ASE 670 ASE 52.70 bkl 52.74 bkl Wu, Haorong verfasserin aut Robust design method for optimizing the static accuracy of a vertical machining center 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In this paper, a robust design method for optimizing the static accuracy of a vertical machining center is proposed. First, the accuracy prediction model was established using screw theory to determine the output accuracy of the machine tool, which was verified by using a DBB and laser interferometer. Then, combining the machine tool’s output accuracy and accuracy design requirements to identify the performance equation of the machining accuracy, a model to calculate machining accuracy reliability is derived. Because the reliability calculation model is highly nonlinear, this paper uses response surface methodology to obtain a highly approximate solution for reliability, and the worst reliable working position can also be found from this. On this basis, according to the sensitivity analysis of machining accuracy reliability, the key distribution parameters of geometric error elements that have an important impact are identified. According to the principle of accuracy balance, the error distribution parameters are reasonably adjusted to reduce the effect of errors on the reliability to create a robust design for optimizing the machine tool static accuracy. The research results show that the method proposed only needs to optimize the error distribution parameters five times to make the machining accuracy reliability meet design requirements. Static accuracy design (dpeaa)DE-He213 Screw theory (dpeaa)DE-He213 Reliability theory (dpeaa)DE-He213 Response surface methodology (dpeaa)DE-He213 Reliability sensitivity (dpeaa)DE-He213 Zheng, Hualin verfasserin aut Li, Xiaoxiao verfasserin aut Rong, Maolin verfasserin aut Fan, Jia verfasserin aut Meng, Xiaoping verfasserin aut Enthalten in The international journal of advanced manufacturing technology London : Springer, 1985 109(2020), 7-8 vom: 24. Juli, Seite 2009-2022 (DE-627)270127712 (DE-600)1476510-X 1433-3015 nnns volume:109 year:2020 number:7-8 day:24 month:07 pages:2009-2022 https://dx.doi.org/10.1007/s00170-020-05596-0 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_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_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_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_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 52.70 ASE 52.74 ASE AR 109 2020 7-8 24 07 2009-2022 |
| spelling |
10.1007/s00170-020-05596-0 doi (DE-627)SPR040560120 (SPR)s00170-020-05596-0-e DE-627 ger DE-627 rakwb eng 670 ASE 670 ASE 52.70 bkl 52.74 bkl Wu, Haorong verfasserin aut Robust design method for optimizing the static accuracy of a vertical machining center 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In this paper, a robust design method for optimizing the static accuracy of a vertical machining center is proposed. First, the accuracy prediction model was established using screw theory to determine the output accuracy of the machine tool, which was verified by using a DBB and laser interferometer. Then, combining the machine tool’s output accuracy and accuracy design requirements to identify the performance equation of the machining accuracy, a model to calculate machining accuracy reliability is derived. Because the reliability calculation model is highly nonlinear, this paper uses response surface methodology to obtain a highly approximate solution for reliability, and the worst reliable working position can also be found from this. On this basis, according to the sensitivity analysis of machining accuracy reliability, the key distribution parameters of geometric error elements that have an important impact are identified. According to the principle of accuracy balance, the error distribution parameters are reasonably adjusted to reduce the effect of errors on the reliability to create a robust design for optimizing the machine tool static accuracy. The research results show that the method proposed only needs to optimize the error distribution parameters five times to make the machining accuracy reliability meet design requirements. Static accuracy design (dpeaa)DE-He213 Screw theory (dpeaa)DE-He213 Reliability theory (dpeaa)DE-He213 Response surface methodology (dpeaa)DE-He213 Reliability sensitivity (dpeaa)DE-He213 Zheng, Hualin verfasserin aut Li, Xiaoxiao verfasserin aut Rong, Maolin verfasserin aut Fan, Jia verfasserin aut Meng, Xiaoping verfasserin aut Enthalten in The international journal of advanced manufacturing technology London : Springer, 1985 109(2020), 7-8 vom: 24. Juli, Seite 2009-2022 (DE-627)270127712 (DE-600)1476510-X 1433-3015 nnns volume:109 year:2020 number:7-8 day:24 month:07 pages:2009-2022 https://dx.doi.org/10.1007/s00170-020-05596-0 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_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_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_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_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 52.70 ASE 52.74 ASE AR 109 2020 7-8 24 07 2009-2022 |
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10.1007/s00170-020-05596-0 doi (DE-627)SPR040560120 (SPR)s00170-020-05596-0-e DE-627 ger DE-627 rakwb eng 670 ASE 670 ASE 52.70 bkl 52.74 bkl Wu, Haorong verfasserin aut Robust design method for optimizing the static accuracy of a vertical machining center 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In this paper, a robust design method for optimizing the static accuracy of a vertical machining center is proposed. First, the accuracy prediction model was established using screw theory to determine the output accuracy of the machine tool, which was verified by using a DBB and laser interferometer. Then, combining the machine tool’s output accuracy and accuracy design requirements to identify the performance equation of the machining accuracy, a model to calculate machining accuracy reliability is derived. Because the reliability calculation model is highly nonlinear, this paper uses response surface methodology to obtain a highly approximate solution for reliability, and the worst reliable working position can also be found from this. On this basis, according to the sensitivity analysis of machining accuracy reliability, the key distribution parameters of geometric error elements that have an important impact are identified. According to the principle of accuracy balance, the error distribution parameters are reasonably adjusted to reduce the effect of errors on the reliability to create a robust design for optimizing the machine tool static accuracy. The research results show that the method proposed only needs to optimize the error distribution parameters five times to make the machining accuracy reliability meet design requirements. Static accuracy design (dpeaa)DE-He213 Screw theory (dpeaa)DE-He213 Reliability theory (dpeaa)DE-He213 Response surface methodology (dpeaa)DE-He213 Reliability sensitivity (dpeaa)DE-He213 Zheng, Hualin verfasserin aut Li, Xiaoxiao verfasserin aut Rong, Maolin verfasserin aut Fan, Jia verfasserin aut Meng, Xiaoping verfasserin aut Enthalten in The international journal of advanced manufacturing technology London : Springer, 1985 109(2020), 7-8 vom: 24. Juli, Seite 2009-2022 (DE-627)270127712 (DE-600)1476510-X 1433-3015 nnns volume:109 year:2020 number:7-8 day:24 month:07 pages:2009-2022 https://dx.doi.org/10.1007/s00170-020-05596-0 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_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_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_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_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 52.70 ASE 52.74 ASE AR 109 2020 7-8 24 07 2009-2022 |
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10.1007/s00170-020-05596-0 doi (DE-627)SPR040560120 (SPR)s00170-020-05596-0-e DE-627 ger DE-627 rakwb eng 670 ASE 670 ASE 52.70 bkl 52.74 bkl Wu, Haorong verfasserin aut Robust design method for optimizing the static accuracy of a vertical machining center 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In this paper, a robust design method for optimizing the static accuracy of a vertical machining center is proposed. First, the accuracy prediction model was established using screw theory to determine the output accuracy of the machine tool, which was verified by using a DBB and laser interferometer. Then, combining the machine tool’s output accuracy and accuracy design requirements to identify the performance equation of the machining accuracy, a model to calculate machining accuracy reliability is derived. Because the reliability calculation model is highly nonlinear, this paper uses response surface methodology to obtain a highly approximate solution for reliability, and the worst reliable working position can also be found from this. On this basis, according to the sensitivity analysis of machining accuracy reliability, the key distribution parameters of geometric error elements that have an important impact are identified. According to the principle of accuracy balance, the error distribution parameters are reasonably adjusted to reduce the effect of errors on the reliability to create a robust design for optimizing the machine tool static accuracy. The research results show that the method proposed only needs to optimize the error distribution parameters five times to make the machining accuracy reliability meet design requirements. Static accuracy design (dpeaa)DE-He213 Screw theory (dpeaa)DE-He213 Reliability theory (dpeaa)DE-He213 Response surface methodology (dpeaa)DE-He213 Reliability sensitivity (dpeaa)DE-He213 Zheng, Hualin verfasserin aut Li, Xiaoxiao verfasserin aut Rong, Maolin verfasserin aut Fan, Jia verfasserin aut Meng, Xiaoping verfasserin aut Enthalten in The international journal of advanced manufacturing technology London : Springer, 1985 109(2020), 7-8 vom: 24. Juli, Seite 2009-2022 (DE-627)270127712 (DE-600)1476510-X 1433-3015 nnns volume:109 year:2020 number:7-8 day:24 month:07 pages:2009-2022 https://dx.doi.org/10.1007/s00170-020-05596-0 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_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_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_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_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 52.70 ASE 52.74 ASE AR 109 2020 7-8 24 07 2009-2022 |
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10.1007/s00170-020-05596-0 doi (DE-627)SPR040560120 (SPR)s00170-020-05596-0-e DE-627 ger DE-627 rakwb eng 670 ASE 670 ASE 52.70 bkl 52.74 bkl Wu, Haorong verfasserin aut Robust design method for optimizing the static accuracy of a vertical machining center 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract In this paper, a robust design method for optimizing the static accuracy of a vertical machining center is proposed. First, the accuracy prediction model was established using screw theory to determine the output accuracy of the machine tool, which was verified by using a DBB and laser interferometer. Then, combining the machine tool’s output accuracy and accuracy design requirements to identify the performance equation of the machining accuracy, a model to calculate machining accuracy reliability is derived. Because the reliability calculation model is highly nonlinear, this paper uses response surface methodology to obtain a highly approximate solution for reliability, and the worst reliable working position can also be found from this. On this basis, according to the sensitivity analysis of machining accuracy reliability, the key distribution parameters of geometric error elements that have an important impact are identified. According to the principle of accuracy balance, the error distribution parameters are reasonably adjusted to reduce the effect of errors on the reliability to create a robust design for optimizing the machine tool static accuracy. The research results show that the method proposed only needs to optimize the error distribution parameters five times to make the machining accuracy reliability meet design requirements. Static accuracy design (dpeaa)DE-He213 Screw theory (dpeaa)DE-He213 Reliability theory (dpeaa)DE-He213 Response surface methodology (dpeaa)DE-He213 Reliability sensitivity (dpeaa)DE-He213 Zheng, Hualin verfasserin aut Li, Xiaoxiao verfasserin aut Rong, Maolin verfasserin aut Fan, Jia verfasserin aut Meng, Xiaoping verfasserin aut Enthalten in The international journal of advanced manufacturing technology London : Springer, 1985 109(2020), 7-8 vom: 24. Juli, Seite 2009-2022 (DE-627)270127712 (DE-600)1476510-X 1433-3015 nnns volume:109 year:2020 number:7-8 day:24 month:07 pages:2009-2022 https://dx.doi.org/10.1007/s00170-020-05596-0 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_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_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_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_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 52.70 ASE 52.74 ASE AR 109 2020 7-8 24 07 2009-2022 |
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Static accuracy design Screw theory Reliability theory Response surface methodology Reliability sensitivity |
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Wu, Haorong @@aut@@ Zheng, Hualin @@aut@@ Li, Xiaoxiao @@aut@@ Rong, Maolin @@aut@@ Fan, Jia @@aut@@ Meng, Xiaoping @@aut@@ |
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First, the accuracy prediction model was established using screw theory to determine the output accuracy of the machine tool, which was verified by using a DBB and laser interferometer. Then, combining the machine tool’s output accuracy and accuracy design requirements to identify the performance equation of the machining accuracy, a model to calculate machining accuracy reliability is derived. Because the reliability calculation model is highly nonlinear, this paper uses response surface methodology to obtain a highly approximate solution for reliability, and the worst reliable working position can also be found from this. On this basis, according to the sensitivity analysis of machining accuracy reliability, the key distribution parameters of geometric error elements that have an important impact are identified. According to the principle of accuracy balance, the error distribution parameters are reasonably adjusted to reduce the effect of errors on the reliability to create a robust design for optimizing the machine tool static accuracy. 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Wu, Haorong |
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Wu, Haorong ddc 670 bkl 52.70 bkl 52.74 misc Static accuracy design misc Screw theory misc Reliability theory misc Response surface methodology misc Reliability sensitivity Robust design method for optimizing the static accuracy of a vertical machining center |
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670 ASE 52.70 bkl 52.74 bkl Robust design method for optimizing the static accuracy of a vertical machining center Static accuracy design (dpeaa)DE-He213 Screw theory (dpeaa)DE-He213 Reliability theory (dpeaa)DE-He213 Response surface methodology (dpeaa)DE-He213 Reliability sensitivity (dpeaa)DE-He213 |
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ddc 670 bkl 52.70 bkl 52.74 misc Static accuracy design misc Screw theory misc Reliability theory misc Response surface methodology misc Reliability sensitivity |
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Wu, Haorong Zheng, Hualin Li, Xiaoxiao Rong, Maolin Fan, Jia Meng, Xiaoping |
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robust design method for optimizing the static accuracy of a vertical machining center |
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Robust design method for optimizing the static accuracy of a vertical machining center |
| abstract |
Abstract In this paper, a robust design method for optimizing the static accuracy of a vertical machining center is proposed. First, the accuracy prediction model was established using screw theory to determine the output accuracy of the machine tool, which was verified by using a DBB and laser interferometer. Then, combining the machine tool’s output accuracy and accuracy design requirements to identify the performance equation of the machining accuracy, a model to calculate machining accuracy reliability is derived. Because the reliability calculation model is highly nonlinear, this paper uses response surface methodology to obtain a highly approximate solution for reliability, and the worst reliable working position can also be found from this. On this basis, according to the sensitivity analysis of machining accuracy reliability, the key distribution parameters of geometric error elements that have an important impact are identified. According to the principle of accuracy balance, the error distribution parameters are reasonably adjusted to reduce the effect of errors on the reliability to create a robust design for optimizing the machine tool static accuracy. The research results show that the method proposed only needs to optimize the error distribution parameters five times to make the machining accuracy reliability meet design requirements. |
| abstractGer |
Abstract In this paper, a robust design method for optimizing the static accuracy of a vertical machining center is proposed. First, the accuracy prediction model was established using screw theory to determine the output accuracy of the machine tool, which was verified by using a DBB and laser interferometer. Then, combining the machine tool’s output accuracy and accuracy design requirements to identify the performance equation of the machining accuracy, a model to calculate machining accuracy reliability is derived. Because the reliability calculation model is highly nonlinear, this paper uses response surface methodology to obtain a highly approximate solution for reliability, and the worst reliable working position can also be found from this. On this basis, according to the sensitivity analysis of machining accuracy reliability, the key distribution parameters of geometric error elements that have an important impact are identified. According to the principle of accuracy balance, the error distribution parameters are reasonably adjusted to reduce the effect of errors on the reliability to create a robust design for optimizing the machine tool static accuracy. The research results show that the method proposed only needs to optimize the error distribution parameters five times to make the machining accuracy reliability meet design requirements. |
| abstract_unstemmed |
Abstract In this paper, a robust design method for optimizing the static accuracy of a vertical machining center is proposed. First, the accuracy prediction model was established using screw theory to determine the output accuracy of the machine tool, which was verified by using a DBB and laser interferometer. Then, combining the machine tool’s output accuracy and accuracy design requirements to identify the performance equation of the machining accuracy, a model to calculate machining accuracy reliability is derived. Because the reliability calculation model is highly nonlinear, this paper uses response surface methodology to obtain a highly approximate solution for reliability, and the worst reliable working position can also be found from this. On this basis, according to the sensitivity analysis of machining accuracy reliability, the key distribution parameters of geometric error elements that have an important impact are identified. According to the principle of accuracy balance, the error distribution parameters are reasonably adjusted to reduce the effect of errors on the reliability to create a robust design for optimizing the machine tool static accuracy. The research results show that the method proposed only needs to optimize the error distribution parameters five times to make the machining accuracy reliability meet design requirements. |
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| title_short |
Robust design method for optimizing the static accuracy of a vertical machining center |
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https://dx.doi.org/10.1007/s00170-020-05596-0 |
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| author2 |
Zheng, Hualin Li, Xiaoxiao Rong, Maolin Fan, Jia Meng, Xiaoping |
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Zheng, Hualin Li, Xiaoxiao Rong, Maolin Fan, Jia Meng, Xiaoping |
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| doi_str |
10.1007/s00170-020-05596-0 |
| up_date |
2024-07-03T16:47:35.603Z |
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|
| score |
7.401903 |