Experimental Investigation of Effects of Polishing Process on Surface Residual Stress of TC4 Blade Based on Sensitivity Analysis
Abstract The residual compressive stress on polished surfaces can significantly delay the initiation of microscopic flaws, and improve the fatigue strength of engineered components. Reasonable selection of polishing parameter ranges plays an important role in controlling residual compressive stress...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Chen, Z. [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: |
© The Society for Experimental Mechanics, Inc 2019 |
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| Übergeordnetes Werk: |
Enthalten in: Experimental techniques - Cham : Springer International Publishing, 1975, 43(2019), 6 vom: 13. Juni, Seite 729-738 |
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| Übergeordnetes Werk: |
volume:43 ; year:2019 ; number:6 ; day:13 ; month:06 ; pages:729-738 |
| Links: |
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| DOI / URN: |
10.1007/s40799-019-00333-z |
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| Katalog-ID: |
SPR037811908 |
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| 245 | 1 | 0 | |a Experimental Investigation of Effects of Polishing Process on Surface Residual Stress of TC4 Blade Based on Sensitivity Analysis |
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| 520 | |a Abstract The residual compressive stress on polished surfaces can significantly delay the initiation of microscopic flaws, and improve the fatigue strength of engineered components. Reasonable selection of polishing parameter ranges plays an important role in controlling residual compressive stress on finished surface, which is closely related to the service performances of aero-engine blade. In order to investigate the influence of each process parameter on residual compressive stress and obtain the optimal parameter ranges for the maximum and stable residual stress range, the sensitivity analysis method was presented in this study. The polishing experiments were designed by using four-factor three-level Central-Composite design theory for TC4 titanium alloy thin-walled blades. Based on the residual stress prediction model developed utilizing a multiple regression method, a global relative sensitivity analysis was conducted to identify the significant and insignificant parameters. Then the stable range and the instable range were divided based on sensitivity curves, and a parameter range optimization method was subsequently presented. Finally, the optimal parametric ranges for residual stress in polishing process were obtained as follows: rotation speed within [9500 r/min, 11,000 r/min], feed rate within [100 mm/min, 200 mm/min], contact force within [0.6 N, 1.8 N] and row spacing within [6 mm, 7 mm]. | ||
| 650 | 4 | |a Residual stress |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a TC4 blade |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Polishing process parameters |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Sensitivity analysis |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Stable ranges |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Optimal ranges |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Shi, Y. |4 aut | |
| 700 | 1 | |a Lin, X. |4 aut | |
| 700 | 1 | |a Yu, T. |4 aut | |
| 700 | 1 | |a Zhao, P. |4 aut | |
| 700 | 1 | |a Kang, C. |4 aut | |
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10.1007/s40799-019-00333-z doi (DE-627)SPR037811908 (SPR)s40799-019-00333-z-e DE-627 ger DE-627 rakwb eng Chen, Z. verfasserin aut Experimental Investigation of Effects of Polishing Process on Surface Residual Stress of TC4 Blade Based on Sensitivity Analysis 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Society for Experimental Mechanics, Inc 2019 Abstract The residual compressive stress on polished surfaces can significantly delay the initiation of microscopic flaws, and improve the fatigue strength of engineered components. Reasonable selection of polishing parameter ranges plays an important role in controlling residual compressive stress on finished surface, which is closely related to the service performances of aero-engine blade. In order to investigate the influence of each process parameter on residual compressive stress and obtain the optimal parameter ranges for the maximum and stable residual stress range, the sensitivity analysis method was presented in this study. The polishing experiments were designed by using four-factor three-level Central-Composite design theory for TC4 titanium alloy thin-walled blades. Based on the residual stress prediction model developed utilizing a multiple regression method, a global relative sensitivity analysis was conducted to identify the significant and insignificant parameters. Then the stable range and the instable range were divided based on sensitivity curves, and a parameter range optimization method was subsequently presented. Finally, the optimal parametric ranges for residual stress in polishing process were obtained as follows: rotation speed within [9500 r/min, 11,000 r/min], feed rate within [100 mm/min, 200 mm/min], contact force within [0.6 N, 1.8 N] and row spacing within [6 mm, 7 mm]. Residual stress (dpeaa)DE-He213 TC4 blade (dpeaa)DE-He213 Polishing process parameters (dpeaa)DE-He213 Sensitivity analysis (dpeaa)DE-He213 Stable ranges (dpeaa)DE-He213 Optimal ranges (dpeaa)DE-He213 Shi, Y. aut Lin, X. aut Yu, T. aut Zhao, P. aut Kang, C. aut Enthalten in Experimental techniques Cham : Springer International Publishing, 1975 43(2019), 6 vom: 13. Juni, Seite 729-738 (DE-627)500635854 (DE-600)2205019-X 1747-1567 nnns volume:43 year:2019 number:6 day:13 month:06 pages:729-738 https://dx.doi.org/10.1007/s40799-019-00333-z 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_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 43 2019 6 13 06 729-738 |
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10.1007/s40799-019-00333-z doi (DE-627)SPR037811908 (SPR)s40799-019-00333-z-e DE-627 ger DE-627 rakwb eng Chen, Z. verfasserin aut Experimental Investigation of Effects of Polishing Process on Surface Residual Stress of TC4 Blade Based on Sensitivity Analysis 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Society for Experimental Mechanics, Inc 2019 Abstract The residual compressive stress on polished surfaces can significantly delay the initiation of microscopic flaws, and improve the fatigue strength of engineered components. Reasonable selection of polishing parameter ranges plays an important role in controlling residual compressive stress on finished surface, which is closely related to the service performances of aero-engine blade. In order to investigate the influence of each process parameter on residual compressive stress and obtain the optimal parameter ranges for the maximum and stable residual stress range, the sensitivity analysis method was presented in this study. The polishing experiments were designed by using four-factor three-level Central-Composite design theory for TC4 titanium alloy thin-walled blades. Based on the residual stress prediction model developed utilizing a multiple regression method, a global relative sensitivity analysis was conducted to identify the significant and insignificant parameters. Then the stable range and the instable range were divided based on sensitivity curves, and a parameter range optimization method was subsequently presented. Finally, the optimal parametric ranges for residual stress in polishing process were obtained as follows: rotation speed within [9500 r/min, 11,000 r/min], feed rate within [100 mm/min, 200 mm/min], contact force within [0.6 N, 1.8 N] and row spacing within [6 mm, 7 mm]. Residual stress (dpeaa)DE-He213 TC4 blade (dpeaa)DE-He213 Polishing process parameters (dpeaa)DE-He213 Sensitivity analysis (dpeaa)DE-He213 Stable ranges (dpeaa)DE-He213 Optimal ranges (dpeaa)DE-He213 Shi, Y. aut Lin, X. aut Yu, T. aut Zhao, P. aut Kang, C. aut Enthalten in Experimental techniques Cham : Springer International Publishing, 1975 43(2019), 6 vom: 13. Juni, Seite 729-738 (DE-627)500635854 (DE-600)2205019-X 1747-1567 nnns volume:43 year:2019 number:6 day:13 month:06 pages:729-738 https://dx.doi.org/10.1007/s40799-019-00333-z 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_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 43 2019 6 13 06 729-738 |
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10.1007/s40799-019-00333-z doi (DE-627)SPR037811908 (SPR)s40799-019-00333-z-e DE-627 ger DE-627 rakwb eng Chen, Z. verfasserin aut Experimental Investigation of Effects of Polishing Process on Surface Residual Stress of TC4 Blade Based on Sensitivity Analysis 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Society for Experimental Mechanics, Inc 2019 Abstract The residual compressive stress on polished surfaces can significantly delay the initiation of microscopic flaws, and improve the fatigue strength of engineered components. Reasonable selection of polishing parameter ranges plays an important role in controlling residual compressive stress on finished surface, which is closely related to the service performances of aero-engine blade. In order to investigate the influence of each process parameter on residual compressive stress and obtain the optimal parameter ranges for the maximum and stable residual stress range, the sensitivity analysis method was presented in this study. The polishing experiments were designed by using four-factor three-level Central-Composite design theory for TC4 titanium alloy thin-walled blades. Based on the residual stress prediction model developed utilizing a multiple regression method, a global relative sensitivity analysis was conducted to identify the significant and insignificant parameters. Then the stable range and the instable range were divided based on sensitivity curves, and a parameter range optimization method was subsequently presented. Finally, the optimal parametric ranges for residual stress in polishing process were obtained as follows: rotation speed within [9500 r/min, 11,000 r/min], feed rate within [100 mm/min, 200 mm/min], contact force within [0.6 N, 1.8 N] and row spacing within [6 mm, 7 mm]. Residual stress (dpeaa)DE-He213 TC4 blade (dpeaa)DE-He213 Polishing process parameters (dpeaa)DE-He213 Sensitivity analysis (dpeaa)DE-He213 Stable ranges (dpeaa)DE-He213 Optimal ranges (dpeaa)DE-He213 Shi, Y. aut Lin, X. aut Yu, T. aut Zhao, P. aut Kang, C. aut Enthalten in Experimental techniques Cham : Springer International Publishing, 1975 43(2019), 6 vom: 13. Juni, Seite 729-738 (DE-627)500635854 (DE-600)2205019-X 1747-1567 nnns volume:43 year:2019 number:6 day:13 month:06 pages:729-738 https://dx.doi.org/10.1007/s40799-019-00333-z 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_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 43 2019 6 13 06 729-738 |
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10.1007/s40799-019-00333-z doi (DE-627)SPR037811908 (SPR)s40799-019-00333-z-e DE-627 ger DE-627 rakwb eng Chen, Z. verfasserin aut Experimental Investigation of Effects of Polishing Process on Surface Residual Stress of TC4 Blade Based on Sensitivity Analysis 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Society for Experimental Mechanics, Inc 2019 Abstract The residual compressive stress on polished surfaces can significantly delay the initiation of microscopic flaws, and improve the fatigue strength of engineered components. Reasonable selection of polishing parameter ranges plays an important role in controlling residual compressive stress on finished surface, which is closely related to the service performances of aero-engine blade. In order to investigate the influence of each process parameter on residual compressive stress and obtain the optimal parameter ranges for the maximum and stable residual stress range, the sensitivity analysis method was presented in this study. The polishing experiments were designed by using four-factor three-level Central-Composite design theory for TC4 titanium alloy thin-walled blades. Based on the residual stress prediction model developed utilizing a multiple regression method, a global relative sensitivity analysis was conducted to identify the significant and insignificant parameters. Then the stable range and the instable range were divided based on sensitivity curves, and a parameter range optimization method was subsequently presented. Finally, the optimal parametric ranges for residual stress in polishing process were obtained as follows: rotation speed within [9500 r/min, 11,000 r/min], feed rate within [100 mm/min, 200 mm/min], contact force within [0.6 N, 1.8 N] and row spacing within [6 mm, 7 mm]. Residual stress (dpeaa)DE-He213 TC4 blade (dpeaa)DE-He213 Polishing process parameters (dpeaa)DE-He213 Sensitivity analysis (dpeaa)DE-He213 Stable ranges (dpeaa)DE-He213 Optimal ranges (dpeaa)DE-He213 Shi, Y. aut Lin, X. aut Yu, T. aut Zhao, P. aut Kang, C. aut Enthalten in Experimental techniques Cham : Springer International Publishing, 1975 43(2019), 6 vom: 13. Juni, Seite 729-738 (DE-627)500635854 (DE-600)2205019-X 1747-1567 nnns volume:43 year:2019 number:6 day:13 month:06 pages:729-738 https://dx.doi.org/10.1007/s40799-019-00333-z 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_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 43 2019 6 13 06 729-738 |
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10.1007/s40799-019-00333-z doi (DE-627)SPR037811908 (SPR)s40799-019-00333-z-e DE-627 ger DE-627 rakwb eng Chen, Z. verfasserin aut Experimental Investigation of Effects of Polishing Process on Surface Residual Stress of TC4 Blade Based on Sensitivity Analysis 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Society for Experimental Mechanics, Inc 2019 Abstract The residual compressive stress on polished surfaces can significantly delay the initiation of microscopic flaws, and improve the fatigue strength of engineered components. Reasonable selection of polishing parameter ranges plays an important role in controlling residual compressive stress on finished surface, which is closely related to the service performances of aero-engine blade. In order to investigate the influence of each process parameter on residual compressive stress and obtain the optimal parameter ranges for the maximum and stable residual stress range, the sensitivity analysis method was presented in this study. The polishing experiments were designed by using four-factor three-level Central-Composite design theory for TC4 titanium alloy thin-walled blades. Based on the residual stress prediction model developed utilizing a multiple regression method, a global relative sensitivity analysis was conducted to identify the significant and insignificant parameters. Then the stable range and the instable range were divided based on sensitivity curves, and a parameter range optimization method was subsequently presented. Finally, the optimal parametric ranges for residual stress in polishing process were obtained as follows: rotation speed within [9500 r/min, 11,000 r/min], feed rate within [100 mm/min, 200 mm/min], contact force within [0.6 N, 1.8 N] and row spacing within [6 mm, 7 mm]. Residual stress (dpeaa)DE-He213 TC4 blade (dpeaa)DE-He213 Polishing process parameters (dpeaa)DE-He213 Sensitivity analysis (dpeaa)DE-He213 Stable ranges (dpeaa)DE-He213 Optimal ranges (dpeaa)DE-He213 Shi, Y. aut Lin, X. aut Yu, T. aut Zhao, P. aut Kang, C. aut Enthalten in Experimental techniques Cham : Springer International Publishing, 1975 43(2019), 6 vom: 13. Juni, Seite 729-738 (DE-627)500635854 (DE-600)2205019-X 1747-1567 nnns volume:43 year:2019 number:6 day:13 month:06 pages:729-738 https://dx.doi.org/10.1007/s40799-019-00333-z 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_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 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_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_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 43 2019 6 13 06 729-738 |
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Enthalten in Experimental techniques 43(2019), 6 vom: 13. Juni, Seite 729-738 volume:43 year:2019 number:6 day:13 month:06 pages:729-738 |
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Enthalten in Experimental techniques 43(2019), 6 vom: 13. Juni, Seite 729-738 volume:43 year:2019 number:6 day:13 month:06 pages:729-738 |
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Chen, Z. @@aut@@ Shi, Y. @@aut@@ Lin, X. @@aut@@ Yu, T. @@aut@@ Zhao, P. @@aut@@ Kang, C. @@aut@@ |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR037811908</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230328210526.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2019 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s40799-019-00333-z</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR037811908</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s40799-019-00333-z-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Chen, Z.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Experimental Investigation of Effects of Polishing Process on Surface Residual Stress of TC4 Blade Based on Sensitivity Analysis</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2019</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Society for Experimental Mechanics, Inc 2019</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract The residual compressive stress on polished surfaces can significantly delay the initiation of microscopic flaws, and improve the fatigue strength of engineered components. Reasonable selection of polishing parameter ranges plays an important role in controlling residual compressive stress on finished surface, which is closely related to the service performances of aero-engine blade. In order to investigate the influence of each process parameter on residual compressive stress and obtain the optimal parameter ranges for the maximum and stable residual stress range, the sensitivity analysis method was presented in this study. The polishing experiments were designed by using four-factor three-level Central-Composite design theory for TC4 titanium alloy thin-walled blades. Based on the residual stress prediction model developed utilizing a multiple regression method, a global relative sensitivity analysis was conducted to identify the significant and insignificant parameters. Then the stable range and the instable range were divided based on sensitivity curves, and a parameter range optimization method was subsequently presented. 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Chen, Z. |
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Chen, Z. misc Residual stress misc TC4 blade misc Polishing process parameters misc Sensitivity analysis misc Stable ranges misc Optimal ranges Experimental Investigation of Effects of Polishing Process on Surface Residual Stress of TC4 Blade Based on Sensitivity Analysis |
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Experimental Investigation of Effects of Polishing Process on Surface Residual Stress of TC4 Blade Based on Sensitivity Analysis Residual stress (dpeaa)DE-He213 TC4 blade (dpeaa)DE-He213 Polishing process parameters (dpeaa)DE-He213 Sensitivity analysis (dpeaa)DE-He213 Stable ranges (dpeaa)DE-He213 Optimal ranges (dpeaa)DE-He213 |
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misc Residual stress misc TC4 blade misc Polishing process parameters misc Sensitivity analysis misc Stable ranges misc Optimal ranges |
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Experimental Investigation of Effects of Polishing Process on Surface Residual Stress of TC4 Blade Based on Sensitivity Analysis |
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Experimental Investigation of Effects of Polishing Process on Surface Residual Stress of TC4 Blade Based on Sensitivity Analysis |
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Chen, Z. Shi, Y. Lin, X. Yu, T. Zhao, P. Kang, C. |
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experimental investigation of effects of polishing process on surface residual stress of tc4 blade based on sensitivity analysis |
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Experimental Investigation of Effects of Polishing Process on Surface Residual Stress of TC4 Blade Based on Sensitivity Analysis |
| abstract |
Abstract The residual compressive stress on polished surfaces can significantly delay the initiation of microscopic flaws, and improve the fatigue strength of engineered components. Reasonable selection of polishing parameter ranges plays an important role in controlling residual compressive stress on finished surface, which is closely related to the service performances of aero-engine blade. In order to investigate the influence of each process parameter on residual compressive stress and obtain the optimal parameter ranges for the maximum and stable residual stress range, the sensitivity analysis method was presented in this study. The polishing experiments were designed by using four-factor three-level Central-Composite design theory for TC4 titanium alloy thin-walled blades. Based on the residual stress prediction model developed utilizing a multiple regression method, a global relative sensitivity analysis was conducted to identify the significant and insignificant parameters. Then the stable range and the instable range were divided based on sensitivity curves, and a parameter range optimization method was subsequently presented. Finally, the optimal parametric ranges for residual stress in polishing process were obtained as follows: rotation speed within [9500 r/min, 11,000 r/min], feed rate within [100 mm/min, 200 mm/min], contact force within [0.6 N, 1.8 N] and row spacing within [6 mm, 7 mm]. © The Society for Experimental Mechanics, Inc 2019 |
| abstractGer |
Abstract The residual compressive stress on polished surfaces can significantly delay the initiation of microscopic flaws, and improve the fatigue strength of engineered components. Reasonable selection of polishing parameter ranges plays an important role in controlling residual compressive stress on finished surface, which is closely related to the service performances of aero-engine blade. In order to investigate the influence of each process parameter on residual compressive stress and obtain the optimal parameter ranges for the maximum and stable residual stress range, the sensitivity analysis method was presented in this study. The polishing experiments were designed by using four-factor three-level Central-Composite design theory for TC4 titanium alloy thin-walled blades. Based on the residual stress prediction model developed utilizing a multiple regression method, a global relative sensitivity analysis was conducted to identify the significant and insignificant parameters. Then the stable range and the instable range were divided based on sensitivity curves, and a parameter range optimization method was subsequently presented. Finally, the optimal parametric ranges for residual stress in polishing process were obtained as follows: rotation speed within [9500 r/min, 11,000 r/min], feed rate within [100 mm/min, 200 mm/min], contact force within [0.6 N, 1.8 N] and row spacing within [6 mm, 7 mm]. © The Society for Experimental Mechanics, Inc 2019 |
| abstract_unstemmed |
Abstract The residual compressive stress on polished surfaces can significantly delay the initiation of microscopic flaws, and improve the fatigue strength of engineered components. Reasonable selection of polishing parameter ranges plays an important role in controlling residual compressive stress on finished surface, which is closely related to the service performances of aero-engine blade. In order to investigate the influence of each process parameter on residual compressive stress and obtain the optimal parameter ranges for the maximum and stable residual stress range, the sensitivity analysis method was presented in this study. The polishing experiments were designed by using four-factor three-level Central-Composite design theory for TC4 titanium alloy thin-walled blades. Based on the residual stress prediction model developed utilizing a multiple regression method, a global relative sensitivity analysis was conducted to identify the significant and insignificant parameters. Then the stable range and the instable range were divided based on sensitivity curves, and a parameter range optimization method was subsequently presented. Finally, the optimal parametric ranges for residual stress in polishing process were obtained as follows: rotation speed within [9500 r/min, 11,000 r/min], feed rate within [100 mm/min, 200 mm/min], contact force within [0.6 N, 1.8 N] and row spacing within [6 mm, 7 mm]. © The Society for Experimental Mechanics, Inc 2019 |
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Experimental Investigation of Effects of Polishing Process on Surface Residual Stress of TC4 Blade Based on Sensitivity Analysis |
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https://dx.doi.org/10.1007/s40799-019-00333-z |
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Shi, Y. Lin, X. Yu, T. Zhao, P. Kang, C. |
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| score |
7.3972845 |