Multi-variable rotor dynamics optimization of an aerostatic spindle
Single-objective multi-variable rotor dynamics optimization promotes the design of spindles in sustainable production. The goal is efficient partial automation of the design process and the optimization of the spindle shaft. The Timoshenko-Ehrenfest beam theory together with the Latin hypercube samp...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Stoop, Fabian [verfasserIn] Meier, Severin [verfasserIn] Civelli, Patrick [verfasserIn] Mayr, Josef [verfasserIn] Wegener, Konrad [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: CIRP journal of manufacturing science and technology - CIRP - The International Academy for Production Engineering ; ID: gnd/6067627-9, Amsterdam [u.a.] : Elsevier, 2008, 42, Seite 12-23 |
|---|---|
| Übergeordnetes Werk: |
volume:42 ; pages:12-23 |
| DOI / URN: |
10.1016/j.cirpj.2023.01.006 |
|---|
| Katalog-ID: |
ELV009432442 |
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| 520 | |a Single-objective multi-variable rotor dynamics optimization promotes the design of spindles in sustainable production. The goal is efficient partial automation of the design process and the optimization of the spindle shaft. The Timoshenko-Ehrenfest beam theory together with the Latin hypercube sampling and direct optimization methods are selected principles. The parametric model and frequency analysis, as well as the transient analysis, are key resources for rapid system development. Challenges are the computational effort to find the steady state of the milling simulation for the optimization problem. In addition, this entire process must meet overall performance requirements during the system design phase. The outlined concept is based on rotor dynamics optimization and validated for an aerostatic spindle in a milling process. The validation measurements are performed according to ISO 230-7 on the aerostatic spindle. | ||
| 650 | 4 | |a Rotor dynamics | |
| 650 | 4 | |a Machine tool | |
| 650 | 4 | |a Spindle | |
| 650 | 4 | |a Aerostatic spindle | |
| 650 | 4 | |a Single-objective multi-variable optimization | |
| 700 | 1 | |a Meier, Severin |e verfasserin |4 aut | |
| 700 | 1 | |a Civelli, Patrick |e verfasserin |4 aut | |
| 700 | 1 | |a Mayr, Josef |e verfasserin |4 aut | |
| 700 | 1 | |a Wegener, Konrad |e verfasserin |4 aut | |
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10.1016/j.cirpj.2023.01.006 doi (DE-627)ELV009432442 (ELSEVIER)S1755-5817(23)00006-8 DE-627 ger DE-627 rda eng 600 DE-600 Stoop, Fabian verfasserin aut Multi-variable rotor dynamics optimization of an aerostatic spindle 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Single-objective multi-variable rotor dynamics optimization promotes the design of spindles in sustainable production. The goal is efficient partial automation of the design process and the optimization of the spindle shaft. The Timoshenko-Ehrenfest beam theory together with the Latin hypercube sampling and direct optimization methods are selected principles. The parametric model and frequency analysis, as well as the transient analysis, are key resources for rapid system development. Challenges are the computational effort to find the steady state of the milling simulation for the optimization problem. In addition, this entire process must meet overall performance requirements during the system design phase. The outlined concept is based on rotor dynamics optimization and validated for an aerostatic spindle in a milling process. The validation measurements are performed according to ISO 230-7 on the aerostatic spindle. Rotor dynamics Machine tool Spindle Aerostatic spindle Single-objective multi-variable optimization Meier, Severin verfasserin aut Civelli, Patrick verfasserin aut Mayr, Josef verfasserin aut Wegener, Konrad verfasserin aut Enthalten in CIRP - The International Academy for Production Engineering ; ID: gnd/6067627-9 CIRP journal of manufacturing science and technology Amsterdam [u.a.] : Elsevier, 2008 42, Seite 12-23 Online-Ressource (DE-627)582028213 (DE-600)2457352-8 (DE-576)304141038 1878-0016 nnns volume:42 pages:12-23 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 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_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_266 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 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_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 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_4338 GBV_ILN_4393 GBV_ILN_4700 AR 42 12-23 |
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10.1016/j.cirpj.2023.01.006 doi (DE-627)ELV009432442 (ELSEVIER)S1755-5817(23)00006-8 DE-627 ger DE-627 rda eng 600 DE-600 Stoop, Fabian verfasserin aut Multi-variable rotor dynamics optimization of an aerostatic spindle 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Single-objective multi-variable rotor dynamics optimization promotes the design of spindles in sustainable production. The goal is efficient partial automation of the design process and the optimization of the spindle shaft. The Timoshenko-Ehrenfest beam theory together with the Latin hypercube sampling and direct optimization methods are selected principles. The parametric model and frequency analysis, as well as the transient analysis, are key resources for rapid system development. Challenges are the computational effort to find the steady state of the milling simulation for the optimization problem. In addition, this entire process must meet overall performance requirements during the system design phase. The outlined concept is based on rotor dynamics optimization and validated for an aerostatic spindle in a milling process. The validation measurements are performed according to ISO 230-7 on the aerostatic spindle. Rotor dynamics Machine tool Spindle Aerostatic spindle Single-objective multi-variable optimization Meier, Severin verfasserin aut Civelli, Patrick verfasserin aut Mayr, Josef verfasserin aut Wegener, Konrad verfasserin aut Enthalten in CIRP - The International Academy for Production Engineering ; ID: gnd/6067627-9 CIRP journal of manufacturing science and technology Amsterdam [u.a.] : Elsevier, 2008 42, Seite 12-23 Online-Ressource (DE-627)582028213 (DE-600)2457352-8 (DE-576)304141038 1878-0016 nnns volume:42 pages:12-23 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 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_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_266 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 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_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 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_4338 GBV_ILN_4393 GBV_ILN_4700 AR 42 12-23 |
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10.1016/j.cirpj.2023.01.006 doi (DE-627)ELV009432442 (ELSEVIER)S1755-5817(23)00006-8 DE-627 ger DE-627 rda eng 600 DE-600 Stoop, Fabian verfasserin aut Multi-variable rotor dynamics optimization of an aerostatic spindle 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Single-objective multi-variable rotor dynamics optimization promotes the design of spindles in sustainable production. The goal is efficient partial automation of the design process and the optimization of the spindle shaft. The Timoshenko-Ehrenfest beam theory together with the Latin hypercube sampling and direct optimization methods are selected principles. The parametric model and frequency analysis, as well as the transient analysis, are key resources for rapid system development. Challenges are the computational effort to find the steady state of the milling simulation for the optimization problem. In addition, this entire process must meet overall performance requirements during the system design phase. The outlined concept is based on rotor dynamics optimization and validated for an aerostatic spindle in a milling process. The validation measurements are performed according to ISO 230-7 on the aerostatic spindle. Rotor dynamics Machine tool Spindle Aerostatic spindle Single-objective multi-variable optimization Meier, Severin verfasserin aut Civelli, Patrick verfasserin aut Mayr, Josef verfasserin aut Wegener, Konrad verfasserin aut Enthalten in CIRP - The International Academy for Production Engineering ; ID: gnd/6067627-9 CIRP journal of manufacturing science and technology Amsterdam [u.a.] : Elsevier, 2008 42, Seite 12-23 Online-Ressource (DE-627)582028213 (DE-600)2457352-8 (DE-576)304141038 1878-0016 nnns volume:42 pages:12-23 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 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_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_266 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 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_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 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_4338 GBV_ILN_4393 GBV_ILN_4700 AR 42 12-23 |
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10.1016/j.cirpj.2023.01.006 doi (DE-627)ELV009432442 (ELSEVIER)S1755-5817(23)00006-8 DE-627 ger DE-627 rda eng 600 DE-600 Stoop, Fabian verfasserin aut Multi-variable rotor dynamics optimization of an aerostatic spindle 2023 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Single-objective multi-variable rotor dynamics optimization promotes the design of spindles in sustainable production. The goal is efficient partial automation of the design process and the optimization of the spindle shaft. The Timoshenko-Ehrenfest beam theory together with the Latin hypercube sampling and direct optimization methods are selected principles. The parametric model and frequency analysis, as well as the transient analysis, are key resources for rapid system development. Challenges are the computational effort to find the steady state of the milling simulation for the optimization problem. In addition, this entire process must meet overall performance requirements during the system design phase. The outlined concept is based on rotor dynamics optimization and validated for an aerostatic spindle in a milling process. The validation measurements are performed according to ISO 230-7 on the aerostatic spindle. Rotor dynamics Machine tool Spindle Aerostatic spindle Single-objective multi-variable optimization Meier, Severin verfasserin aut Civelli, Patrick verfasserin aut Mayr, Josef verfasserin aut Wegener, Konrad verfasserin aut Enthalten in CIRP - The International Academy for Production Engineering ; ID: gnd/6067627-9 CIRP journal of manufacturing science and technology Amsterdam [u.a.] : Elsevier, 2008 42, Seite 12-23 Online-Ressource (DE-627)582028213 (DE-600)2457352-8 (DE-576)304141038 1878-0016 nnns volume:42 pages:12-23 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 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_150 GBV_ILN_151 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_266 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 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_2034 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 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_4338 GBV_ILN_4393 GBV_ILN_4700 AR 42 12-23 |
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| title_full |
Multi-variable rotor dynamics optimization of an aerostatic spindle |
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Stoop, Fabian |
| journal |
CIRP journal of manufacturing science and technology |
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CIRP journal of manufacturing science and technology |
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eng |
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marc |
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2023 |
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zzz |
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Stoop, Fabian Meier, Severin Civelli, Patrick Mayr, Josef Wegener, Konrad |
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42 |
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Elektronische Aufsätze |
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Stoop, Fabian |
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10.1016/j.cirpj.2023.01.006 |
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600 |
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verfasserin |
| title_sort |
multi-variable rotor dynamics optimization of an aerostatic spindle |
| title_auth |
Multi-variable rotor dynamics optimization of an aerostatic spindle |
| abstract |
Single-objective multi-variable rotor dynamics optimization promotes the design of spindles in sustainable production. The goal is efficient partial automation of the design process and the optimization of the spindle shaft. The Timoshenko-Ehrenfest beam theory together with the Latin hypercube sampling and direct optimization methods are selected principles. The parametric model and frequency analysis, as well as the transient analysis, are key resources for rapid system development. Challenges are the computational effort to find the steady state of the milling simulation for the optimization problem. In addition, this entire process must meet overall performance requirements during the system design phase. The outlined concept is based on rotor dynamics optimization and validated for an aerostatic spindle in a milling process. The validation measurements are performed according to ISO 230-7 on the aerostatic spindle. |
| abstractGer |
Single-objective multi-variable rotor dynamics optimization promotes the design of spindles in sustainable production. The goal is efficient partial automation of the design process and the optimization of the spindle shaft. The Timoshenko-Ehrenfest beam theory together with the Latin hypercube sampling and direct optimization methods are selected principles. The parametric model and frequency analysis, as well as the transient analysis, are key resources for rapid system development. Challenges are the computational effort to find the steady state of the milling simulation for the optimization problem. In addition, this entire process must meet overall performance requirements during the system design phase. The outlined concept is based on rotor dynamics optimization and validated for an aerostatic spindle in a milling process. The validation measurements are performed according to ISO 230-7 on the aerostatic spindle. |
| abstract_unstemmed |
Single-objective multi-variable rotor dynamics optimization promotes the design of spindles in sustainable production. The goal is efficient partial automation of the design process and the optimization of the spindle shaft. The Timoshenko-Ehrenfest beam theory together with the Latin hypercube sampling and direct optimization methods are selected principles. The parametric model and frequency analysis, as well as the transient analysis, are key resources for rapid system development. Challenges are the computational effort to find the steady state of the milling simulation for the optimization problem. In addition, this entire process must meet overall performance requirements during the system design phase. The outlined concept is based on rotor dynamics optimization and validated for an aerostatic spindle in a milling process. The validation measurements are performed according to ISO 230-7 on the aerostatic spindle. |
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| title_short |
Multi-variable rotor dynamics optimization of an aerostatic spindle |
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Meier, Severin Civelli, Patrick Mayr, Josef Wegener, Konrad |
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| up_date |
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