A novel prediction model for thin plate deflections considering milling residual stresses
Abstract Residual stresses induced by machining coupled with the initial stresses can significantly impact mechanical properties of workpieces such as distortion, corrosion resistance, and dimensional stability. The redistribution pattern of residual stresses is extremely complex. The stress relievi...
Ausführliche Beschreibung
Autor*in: |
Jiang, Zhaoliang [verfasserIn] |
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Artikel |
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Sprache: |
Englisch |
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2014 |
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Anmerkung: |
© Springer-Verlag London 2014 |
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Übergeordnetes Werk: |
Enthalten in: The international journal of advanced manufacturing technology - Springer London, 1985, 74(2014), 1-4 vom: 29. Mai, Seite 37-45 |
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Übergeordnetes Werk: |
volume:74 ; year:2014 ; number:1-4 ; day:29 ; month:05 ; pages:37-45 |
Links: |
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DOI / URN: |
10.1007/s00170-014-5952-y |
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Katalog-ID: |
OLC2026063516 |
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520 | |a Abstract Residual stresses induced by machining coupled with the initial stresses can significantly impact mechanical properties of workpieces such as distortion, corrosion resistance, and dimensional stability. The redistribution pattern of residual stresses is extremely complex. The stress relieving can seriously deform the workpieces and reduce the fatigue life. Therefore, deflection prediction is critical for design, control, analysis, and management of machining. In this paper, an integrated modeling method is introduced to predict the deflection caused by milling residual stresses, to be more exact, to map the relationship between the deflections and the cutting parameters. Response surface design (RSD) is utilized to develop a new mathematical model which can predict the residual stress profiles of the workpieces along the cutting direction based on different cutting parameters. Then, the deflections are derived based on the estimated stress profiles and mechanics of materials theory. A finite element analysis model (FEM)-based simulation experiment using aluminum alloy 6061 as a case study has been implemented. The results from experiments indicate that the proposed approach could precisely estimate the residual stress profiles for given cutting parameters and effectively predict the deflections of the workpieces caused by residual stress. | ||
650 | 4 | |a Cutting parameters | |
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10.1007/s00170-014-5952-y doi (DE-627)OLC2026063516 (DE-He213)s00170-014-5952-y-p DE-627 ger DE-627 rakwb eng 670 VZ Jiang, Zhaoliang verfasserin aut A novel prediction model for thin plate deflections considering milling residual stresses 2014 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London 2014 Abstract Residual stresses induced by machining coupled with the initial stresses can significantly impact mechanical properties of workpieces such as distortion, corrosion resistance, and dimensional stability. The redistribution pattern of residual stresses is extremely complex. The stress relieving can seriously deform the workpieces and reduce the fatigue life. Therefore, deflection prediction is critical for design, control, analysis, and management of machining. In this paper, an integrated modeling method is introduced to predict the deflection caused by milling residual stresses, to be more exact, to map the relationship between the deflections and the cutting parameters. Response surface design (RSD) is utilized to develop a new mathematical model which can predict the residual stress profiles of the workpieces along the cutting direction based on different cutting parameters. Then, the deflections are derived based on the estimated stress profiles and mechanics of materials theory. A finite element analysis model (FEM)-based simulation experiment using aluminum alloy 6061 as a case study has been implemented. The results from experiments indicate that the proposed approach could precisely estimate the residual stress profiles for given cutting parameters and effectively predict the deflections of the workpieces caused by residual stress. Cutting parameters Deflection Residual stress Response surface design Liu, Yumei aut Li, Lin aut Shao, Weixian aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 74(2014), 1-4 vom: 29. Mai, Seite 37-45 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:74 year:2014 number:1-4 day:29 month:05 pages:37-45 https://doi.org/10.1007/s00170-014-5952-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_20 GBV_ILN_70 GBV_ILN_150 GBV_ILN_2018 GBV_ILN_2333 AR 74 2014 1-4 29 05 37-45 |
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10.1007/s00170-014-5952-y doi (DE-627)OLC2026063516 (DE-He213)s00170-014-5952-y-p DE-627 ger DE-627 rakwb eng 670 VZ Jiang, Zhaoliang verfasserin aut A novel prediction model for thin plate deflections considering milling residual stresses 2014 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London 2014 Abstract Residual stresses induced by machining coupled with the initial stresses can significantly impact mechanical properties of workpieces such as distortion, corrosion resistance, and dimensional stability. The redistribution pattern of residual stresses is extremely complex. The stress relieving can seriously deform the workpieces and reduce the fatigue life. Therefore, deflection prediction is critical for design, control, analysis, and management of machining. In this paper, an integrated modeling method is introduced to predict the deflection caused by milling residual stresses, to be more exact, to map the relationship between the deflections and the cutting parameters. Response surface design (RSD) is utilized to develop a new mathematical model which can predict the residual stress profiles of the workpieces along the cutting direction based on different cutting parameters. Then, the deflections are derived based on the estimated stress profiles and mechanics of materials theory. A finite element analysis model (FEM)-based simulation experiment using aluminum alloy 6061 as a case study has been implemented. The results from experiments indicate that the proposed approach could precisely estimate the residual stress profiles for given cutting parameters and effectively predict the deflections of the workpieces caused by residual stress. Cutting parameters Deflection Residual stress Response surface design Liu, Yumei aut Li, Lin aut Shao, Weixian aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 74(2014), 1-4 vom: 29. Mai, Seite 37-45 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:74 year:2014 number:1-4 day:29 month:05 pages:37-45 https://doi.org/10.1007/s00170-014-5952-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_20 GBV_ILN_70 GBV_ILN_150 GBV_ILN_2018 GBV_ILN_2333 AR 74 2014 1-4 29 05 37-45 |
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10.1007/s00170-014-5952-y doi (DE-627)OLC2026063516 (DE-He213)s00170-014-5952-y-p DE-627 ger DE-627 rakwb eng 670 VZ Jiang, Zhaoliang verfasserin aut A novel prediction model for thin plate deflections considering milling residual stresses 2014 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London 2014 Abstract Residual stresses induced by machining coupled with the initial stresses can significantly impact mechanical properties of workpieces such as distortion, corrosion resistance, and dimensional stability. The redistribution pattern of residual stresses is extremely complex. The stress relieving can seriously deform the workpieces and reduce the fatigue life. Therefore, deflection prediction is critical for design, control, analysis, and management of machining. In this paper, an integrated modeling method is introduced to predict the deflection caused by milling residual stresses, to be more exact, to map the relationship between the deflections and the cutting parameters. Response surface design (RSD) is utilized to develop a new mathematical model which can predict the residual stress profiles of the workpieces along the cutting direction based on different cutting parameters. Then, the deflections are derived based on the estimated stress profiles and mechanics of materials theory. A finite element analysis model (FEM)-based simulation experiment using aluminum alloy 6061 as a case study has been implemented. The results from experiments indicate that the proposed approach could precisely estimate the residual stress profiles for given cutting parameters and effectively predict the deflections of the workpieces caused by residual stress. Cutting parameters Deflection Residual stress Response surface design Liu, Yumei aut Li, Lin aut Shao, Weixian aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 74(2014), 1-4 vom: 29. Mai, Seite 37-45 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:74 year:2014 number:1-4 day:29 month:05 pages:37-45 https://doi.org/10.1007/s00170-014-5952-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_20 GBV_ILN_70 GBV_ILN_150 GBV_ILN_2018 GBV_ILN_2333 AR 74 2014 1-4 29 05 37-45 |
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10.1007/s00170-014-5952-y doi (DE-627)OLC2026063516 (DE-He213)s00170-014-5952-y-p DE-627 ger DE-627 rakwb eng 670 VZ Jiang, Zhaoliang verfasserin aut A novel prediction model for thin plate deflections considering milling residual stresses 2014 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London 2014 Abstract Residual stresses induced by machining coupled with the initial stresses can significantly impact mechanical properties of workpieces such as distortion, corrosion resistance, and dimensional stability. The redistribution pattern of residual stresses is extremely complex. The stress relieving can seriously deform the workpieces and reduce the fatigue life. Therefore, deflection prediction is critical for design, control, analysis, and management of machining. In this paper, an integrated modeling method is introduced to predict the deflection caused by milling residual stresses, to be more exact, to map the relationship between the deflections and the cutting parameters. Response surface design (RSD) is utilized to develop a new mathematical model which can predict the residual stress profiles of the workpieces along the cutting direction based on different cutting parameters. Then, the deflections are derived based on the estimated stress profiles and mechanics of materials theory. A finite element analysis model (FEM)-based simulation experiment using aluminum alloy 6061 as a case study has been implemented. The results from experiments indicate that the proposed approach could precisely estimate the residual stress profiles for given cutting parameters and effectively predict the deflections of the workpieces caused by residual stress. Cutting parameters Deflection Residual stress Response surface design Liu, Yumei aut Li, Lin aut Shao, Weixian aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 74(2014), 1-4 vom: 29. Mai, Seite 37-45 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:74 year:2014 number:1-4 day:29 month:05 pages:37-45 https://doi.org/10.1007/s00170-014-5952-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_20 GBV_ILN_70 GBV_ILN_150 GBV_ILN_2018 GBV_ILN_2333 AR 74 2014 1-4 29 05 37-45 |
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10.1007/s00170-014-5952-y doi (DE-627)OLC2026063516 (DE-He213)s00170-014-5952-y-p DE-627 ger DE-627 rakwb eng 670 VZ Jiang, Zhaoliang verfasserin aut A novel prediction model for thin plate deflections considering milling residual stresses 2014 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London 2014 Abstract Residual stresses induced by machining coupled with the initial stresses can significantly impact mechanical properties of workpieces such as distortion, corrosion resistance, and dimensional stability. The redistribution pattern of residual stresses is extremely complex. The stress relieving can seriously deform the workpieces and reduce the fatigue life. Therefore, deflection prediction is critical for design, control, analysis, and management of machining. In this paper, an integrated modeling method is introduced to predict the deflection caused by milling residual stresses, to be more exact, to map the relationship between the deflections and the cutting parameters. Response surface design (RSD) is utilized to develop a new mathematical model which can predict the residual stress profiles of the workpieces along the cutting direction based on different cutting parameters. Then, the deflections are derived based on the estimated stress profiles and mechanics of materials theory. A finite element analysis model (FEM)-based simulation experiment using aluminum alloy 6061 as a case study has been implemented. The results from experiments indicate that the proposed approach could precisely estimate the residual stress profiles for given cutting parameters and effectively predict the deflections of the workpieces caused by residual stress. Cutting parameters Deflection Residual stress Response surface design Liu, Yumei aut Li, Lin aut Shao, Weixian aut Enthalten in The international journal of advanced manufacturing technology Springer London, 1985 74(2014), 1-4 vom: 29. Mai, Seite 37-45 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:74 year:2014 number:1-4 day:29 month:05 pages:37-45 https://doi.org/10.1007/s00170-014-5952-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_20 GBV_ILN_70 GBV_ILN_150 GBV_ILN_2018 GBV_ILN_2333 AR 74 2014 1-4 29 05 37-45 |
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A novel prediction model for thin plate deflections considering milling residual stresses |
abstract |
Abstract Residual stresses induced by machining coupled with the initial stresses can significantly impact mechanical properties of workpieces such as distortion, corrosion resistance, and dimensional stability. The redistribution pattern of residual stresses is extremely complex. The stress relieving can seriously deform the workpieces and reduce the fatigue life. Therefore, deflection prediction is critical for design, control, analysis, and management of machining. In this paper, an integrated modeling method is introduced to predict the deflection caused by milling residual stresses, to be more exact, to map the relationship between the deflections and the cutting parameters. Response surface design (RSD) is utilized to develop a new mathematical model which can predict the residual stress profiles of the workpieces along the cutting direction based on different cutting parameters. Then, the deflections are derived based on the estimated stress profiles and mechanics of materials theory. A finite element analysis model (FEM)-based simulation experiment using aluminum alloy 6061 as a case study has been implemented. The results from experiments indicate that the proposed approach could precisely estimate the residual stress profiles for given cutting parameters and effectively predict the deflections of the workpieces caused by residual stress. © Springer-Verlag London 2014 |
abstractGer |
Abstract Residual stresses induced by machining coupled with the initial stresses can significantly impact mechanical properties of workpieces such as distortion, corrosion resistance, and dimensional stability. The redistribution pattern of residual stresses is extremely complex. The stress relieving can seriously deform the workpieces and reduce the fatigue life. Therefore, deflection prediction is critical for design, control, analysis, and management of machining. In this paper, an integrated modeling method is introduced to predict the deflection caused by milling residual stresses, to be more exact, to map the relationship between the deflections and the cutting parameters. Response surface design (RSD) is utilized to develop a new mathematical model which can predict the residual stress profiles of the workpieces along the cutting direction based on different cutting parameters. Then, the deflections are derived based on the estimated stress profiles and mechanics of materials theory. A finite element analysis model (FEM)-based simulation experiment using aluminum alloy 6061 as a case study has been implemented. The results from experiments indicate that the proposed approach could precisely estimate the residual stress profiles for given cutting parameters and effectively predict the deflections of the workpieces caused by residual stress. © Springer-Verlag London 2014 |
abstract_unstemmed |
Abstract Residual stresses induced by machining coupled with the initial stresses can significantly impact mechanical properties of workpieces such as distortion, corrosion resistance, and dimensional stability. The redistribution pattern of residual stresses is extremely complex. The stress relieving can seriously deform the workpieces and reduce the fatigue life. Therefore, deflection prediction is critical for design, control, analysis, and management of machining. In this paper, an integrated modeling method is introduced to predict the deflection caused by milling residual stresses, to be more exact, to map the relationship between the deflections and the cutting parameters. Response surface design (RSD) is utilized to develop a new mathematical model which can predict the residual stress profiles of the workpieces along the cutting direction based on different cutting parameters. Then, the deflections are derived based on the estimated stress profiles and mechanics of materials theory. A finite element analysis model (FEM)-based simulation experiment using aluminum alloy 6061 as a case study has been implemented. The results from experiments indicate that the proposed approach could precisely estimate the residual stress profiles for given cutting parameters and effectively predict the deflections of the workpieces caused by residual stress. © Springer-Verlag London 2014 |
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title_short |
A novel prediction model for thin plate deflections considering milling residual stresses |
url |
https://doi.org/10.1007/s00170-014-5952-y |
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author2 |
Liu, Yumei Li, Lin Shao, Weixian |
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Liu, Yumei Li, Lin Shao, Weixian |
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doi_str |
10.1007/s00170-014-5952-y |
up_date |
2024-07-04T03:01:09.722Z |
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