Strengthening of an Al–Cu–Mg alloy processed by high-pressure torsion due to clusters, defects and defect–cluster complexes
A physically-based model is established to predict the strength of cluster strengthened ultrafine-grained ternary alloys processed by severe plastic deformation. The model incorporates strengthening due to dislocations, grain refinement, co-clusters (due to short range order and modulus strengthenin...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Chen, Ying [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015transfer abstract |
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| Umfang: |
11 |
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| Übergeordnetes Werk: |
Enthalten in: Generation of 3X FLAG-tagged human embryonic stem cell (hESC) line to study WNT-induced β-catenin DNA interactions (HVRDe009-A-2) - Cutts, Joshua ELSEVIER, 2021, Amsterdam |
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| Übergeordnetes Werk: |
volume:627 ; year:2015 ; day:11 ; month:03 ; pages:10-20 ; extent:11 |
| Links: |
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| DOI / URN: |
10.1016/j.msea.2014.12.107 |
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ELV018645976 |
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| 520 | |a A physically-based model is established to predict the strength of cluster strengthened ultrafine-grained ternary alloys processed by severe plastic deformation. The model incorporates strengthening due to dislocations, grain refinement, co-clusters (due to short range order and modulus strengthening) and solute segregation. The model is applied to predict strengthening in an Al–Cu–Mg alloy processed by high-pressure torsion (HPT). The microstructure was investigated using transmission electron microscopy (TEM), atom probe tomography (APT), and X-ray diffraction (XRD). Analysis of XRD line profile broadening shows that the dislocation density increases significantly due to severe plastic deformation, which contributes to the increase of strength. APT reveals the presence of nanoscale co-clusters and defect-solute clustering. The concepts of the multiple local interaction energies between solutes and dislocations were used to quantitatively explain the strengthening mechanisms. The model shows a good correspondence with measured microstructure data and measured strength. | ||
| 520 | |a A physically-based model is established to predict the strength of cluster strengthened ultrafine-grained ternary alloys processed by severe plastic deformation. The model incorporates strengthening due to dislocations, grain refinement, co-clusters (due to short range order and modulus strengthening) and solute segregation. The model is applied to predict strengthening in an Al–Cu–Mg alloy processed by high-pressure torsion (HPT). The microstructure was investigated using transmission electron microscopy (TEM), atom probe tomography (APT), and X-ray diffraction (XRD). Analysis of XRD line profile broadening shows that the dislocation density increases significantly due to severe plastic deformation, which contributes to the increase of strength. APT reveals the presence of nanoscale co-clusters and defect-solute clustering. The concepts of the multiple local interaction energies between solutes and dislocations were used to quantitatively explain the strengthening mechanisms. The model shows a good correspondence with measured microstructure data and measured strength. | ||
| 650 | 7 | |a Cluster–dislocation interaction |2 Elsevier | |
| 650 | 7 | |a Atom probe tomography (APT) |2 Elsevier | |
| 650 | 7 | |a High-pressure torsion |2 Elsevier | |
| 650 | 7 | |a Modelling |2 Elsevier | |
| 650 | 7 | |a Strengthening mechanism |2 Elsevier | |
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| 700 | 1 | |a Sha, Gang |4 oth | |
| 700 | 1 | |a Ringer, Simon P. |4 oth | |
| 700 | 1 | |a Starink, Marco J. |4 oth | |
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10.1016/j.msea.2014.12.107 doi GBV00000000000190A.pica (DE-627)ELV018645976 (ELSEVIER)S0921-5093(14)01618-9 DE-627 ger DE-627 rakwb eng 600 670 530 600 DE-600 670 DE-600 530 DE-600 570 VZ Chen, Ying verfasserin aut Strengthening of an Al–Cu–Mg alloy processed by high-pressure torsion due to clusters, defects and defect–cluster complexes 2015transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier A physically-based model is established to predict the strength of cluster strengthened ultrafine-grained ternary alloys processed by severe plastic deformation. The model incorporates strengthening due to dislocations, grain refinement, co-clusters (due to short range order and modulus strengthening) and solute segregation. The model is applied to predict strengthening in an Al–Cu–Mg alloy processed by high-pressure torsion (HPT). The microstructure was investigated using transmission electron microscopy (TEM), atom probe tomography (APT), and X-ray diffraction (XRD). Analysis of XRD line profile broadening shows that the dislocation density increases significantly due to severe plastic deformation, which contributes to the increase of strength. APT reveals the presence of nanoscale co-clusters and defect-solute clustering. The concepts of the multiple local interaction energies between solutes and dislocations were used to quantitatively explain the strengthening mechanisms. The model shows a good correspondence with measured microstructure data and measured strength. A physically-based model is established to predict the strength of cluster strengthened ultrafine-grained ternary alloys processed by severe plastic deformation. The model incorporates strengthening due to dislocations, grain refinement, co-clusters (due to short range order and modulus strengthening) and solute segregation. The model is applied to predict strengthening in an Al–Cu–Mg alloy processed by high-pressure torsion (HPT). The microstructure was investigated using transmission electron microscopy (TEM), atom probe tomography (APT), and X-ray diffraction (XRD). Analysis of XRD line profile broadening shows that the dislocation density increases significantly due to severe plastic deformation, which contributes to the increase of strength. APT reveals the presence of nanoscale co-clusters and defect-solute clustering. The concepts of the multiple local interaction energies between solutes and dislocations were used to quantitatively explain the strengthening mechanisms. The model shows a good correspondence with measured microstructure data and measured strength. Cluster–dislocation interaction Elsevier Atom probe tomography (APT) Elsevier High-pressure torsion Elsevier Modelling Elsevier Strengthening mechanism Elsevier Gao, Nong oth Sha, Gang oth Ringer, Simon P. oth Starink, Marco J. oth Enthalten in Elsevier Cutts, Joshua ELSEVIER Generation of 3X FLAG-tagged human embryonic stem cell (hESC) line to study WNT-induced β-catenin DNA interactions (HVRDe009-A-2) 2021 Amsterdam (DE-627)ELV007117167 volume:627 year:2015 day:11 month:03 pages:10-20 extent:11 https://doi.org/10.1016/j.msea.2014.12.107 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA AR 627 2015 11 0311 10-20 11 045F 600 |
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10.1016/j.msea.2014.12.107 doi GBV00000000000190A.pica (DE-627)ELV018645976 (ELSEVIER)S0921-5093(14)01618-9 DE-627 ger DE-627 rakwb eng 600 670 530 600 DE-600 670 DE-600 530 DE-600 570 VZ Chen, Ying verfasserin aut Strengthening of an Al–Cu–Mg alloy processed by high-pressure torsion due to clusters, defects and defect–cluster complexes 2015transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier A physically-based model is established to predict the strength of cluster strengthened ultrafine-grained ternary alloys processed by severe plastic deformation. The model incorporates strengthening due to dislocations, grain refinement, co-clusters (due to short range order and modulus strengthening) and solute segregation. The model is applied to predict strengthening in an Al–Cu–Mg alloy processed by high-pressure torsion (HPT). The microstructure was investigated using transmission electron microscopy (TEM), atom probe tomography (APT), and X-ray diffraction (XRD). Analysis of XRD line profile broadening shows that the dislocation density increases significantly due to severe plastic deformation, which contributes to the increase of strength. APT reveals the presence of nanoscale co-clusters and defect-solute clustering. The concepts of the multiple local interaction energies between solutes and dislocations were used to quantitatively explain the strengthening mechanisms. The model shows a good correspondence with measured microstructure data and measured strength. A physically-based model is established to predict the strength of cluster strengthened ultrafine-grained ternary alloys processed by severe plastic deformation. The model incorporates strengthening due to dislocations, grain refinement, co-clusters (due to short range order and modulus strengthening) and solute segregation. The model is applied to predict strengthening in an Al–Cu–Mg alloy processed by high-pressure torsion (HPT). The microstructure was investigated using transmission electron microscopy (TEM), atom probe tomography (APT), and X-ray diffraction (XRD). Analysis of XRD line profile broadening shows that the dislocation density increases significantly due to severe plastic deformation, which contributes to the increase of strength. APT reveals the presence of nanoscale co-clusters and defect-solute clustering. The concepts of the multiple local interaction energies between solutes and dislocations were used to quantitatively explain the strengthening mechanisms. The model shows a good correspondence with measured microstructure data and measured strength. Cluster–dislocation interaction Elsevier Atom probe tomography (APT) Elsevier High-pressure torsion Elsevier Modelling Elsevier Strengthening mechanism Elsevier Gao, Nong oth Sha, Gang oth Ringer, Simon P. oth Starink, Marco J. oth Enthalten in Elsevier Cutts, Joshua ELSEVIER Generation of 3X FLAG-tagged human embryonic stem cell (hESC) line to study WNT-induced β-catenin DNA interactions (HVRDe009-A-2) 2021 Amsterdam (DE-627)ELV007117167 volume:627 year:2015 day:11 month:03 pages:10-20 extent:11 https://doi.org/10.1016/j.msea.2014.12.107 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA AR 627 2015 11 0311 10-20 11 045F 600 |
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10.1016/j.msea.2014.12.107 doi GBV00000000000190A.pica (DE-627)ELV018645976 (ELSEVIER)S0921-5093(14)01618-9 DE-627 ger DE-627 rakwb eng 600 670 530 600 DE-600 670 DE-600 530 DE-600 570 VZ Chen, Ying verfasserin aut Strengthening of an Al–Cu–Mg alloy processed by high-pressure torsion due to clusters, defects and defect–cluster complexes 2015transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier A physically-based model is established to predict the strength of cluster strengthened ultrafine-grained ternary alloys processed by severe plastic deformation. The model incorporates strengthening due to dislocations, grain refinement, co-clusters (due to short range order and modulus strengthening) and solute segregation. The model is applied to predict strengthening in an Al–Cu–Mg alloy processed by high-pressure torsion (HPT). The microstructure was investigated using transmission electron microscopy (TEM), atom probe tomography (APT), and X-ray diffraction (XRD). Analysis of XRD line profile broadening shows that the dislocation density increases significantly due to severe plastic deformation, which contributes to the increase of strength. APT reveals the presence of nanoscale co-clusters and defect-solute clustering. The concepts of the multiple local interaction energies between solutes and dislocations were used to quantitatively explain the strengthening mechanisms. The model shows a good correspondence with measured microstructure data and measured strength. A physically-based model is established to predict the strength of cluster strengthened ultrafine-grained ternary alloys processed by severe plastic deformation. The model incorporates strengthening due to dislocations, grain refinement, co-clusters (due to short range order and modulus strengthening) and solute segregation. The model is applied to predict strengthening in an Al–Cu–Mg alloy processed by high-pressure torsion (HPT). The microstructure was investigated using transmission electron microscopy (TEM), atom probe tomography (APT), and X-ray diffraction (XRD). Analysis of XRD line profile broadening shows that the dislocation density increases significantly due to severe plastic deformation, which contributes to the increase of strength. APT reveals the presence of nanoscale co-clusters and defect-solute clustering. The concepts of the multiple local interaction energies between solutes and dislocations were used to quantitatively explain the strengthening mechanisms. The model shows a good correspondence with measured microstructure data and measured strength. Cluster–dislocation interaction Elsevier Atom probe tomography (APT) Elsevier High-pressure torsion Elsevier Modelling Elsevier Strengthening mechanism Elsevier Gao, Nong oth Sha, Gang oth Ringer, Simon P. oth Starink, Marco J. oth Enthalten in Elsevier Cutts, Joshua ELSEVIER Generation of 3X FLAG-tagged human embryonic stem cell (hESC) line to study WNT-induced β-catenin DNA interactions (HVRDe009-A-2) 2021 Amsterdam (DE-627)ELV007117167 volume:627 year:2015 day:11 month:03 pages:10-20 extent:11 https://doi.org/10.1016/j.msea.2014.12.107 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA AR 627 2015 11 0311 10-20 11 045F 600 |
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10.1016/j.msea.2014.12.107 doi GBV00000000000190A.pica (DE-627)ELV018645976 (ELSEVIER)S0921-5093(14)01618-9 DE-627 ger DE-627 rakwb eng 600 670 530 600 DE-600 670 DE-600 530 DE-600 570 VZ Chen, Ying verfasserin aut Strengthening of an Al–Cu–Mg alloy processed by high-pressure torsion due to clusters, defects and defect–cluster complexes 2015transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier A physically-based model is established to predict the strength of cluster strengthened ultrafine-grained ternary alloys processed by severe plastic deformation. The model incorporates strengthening due to dislocations, grain refinement, co-clusters (due to short range order and modulus strengthening) and solute segregation. The model is applied to predict strengthening in an Al–Cu–Mg alloy processed by high-pressure torsion (HPT). The microstructure was investigated using transmission electron microscopy (TEM), atom probe tomography (APT), and X-ray diffraction (XRD). Analysis of XRD line profile broadening shows that the dislocation density increases significantly due to severe plastic deformation, which contributes to the increase of strength. APT reveals the presence of nanoscale co-clusters and defect-solute clustering. The concepts of the multiple local interaction energies between solutes and dislocations were used to quantitatively explain the strengthening mechanisms. The model shows a good correspondence with measured microstructure data and measured strength. A physically-based model is established to predict the strength of cluster strengthened ultrafine-grained ternary alloys processed by severe plastic deformation. The model incorporates strengthening due to dislocations, grain refinement, co-clusters (due to short range order and modulus strengthening) and solute segregation. The model is applied to predict strengthening in an Al–Cu–Mg alloy processed by high-pressure torsion (HPT). The microstructure was investigated using transmission electron microscopy (TEM), atom probe tomography (APT), and X-ray diffraction (XRD). Analysis of XRD line profile broadening shows that the dislocation density increases significantly due to severe plastic deformation, which contributes to the increase of strength. APT reveals the presence of nanoscale co-clusters and defect-solute clustering. The concepts of the multiple local interaction energies between solutes and dislocations were used to quantitatively explain the strengthening mechanisms. The model shows a good correspondence with measured microstructure data and measured strength. Cluster–dislocation interaction Elsevier Atom probe tomography (APT) Elsevier High-pressure torsion Elsevier Modelling Elsevier Strengthening mechanism Elsevier Gao, Nong oth Sha, Gang oth Ringer, Simon P. oth Starink, Marco J. oth Enthalten in Elsevier Cutts, Joshua ELSEVIER Generation of 3X FLAG-tagged human embryonic stem cell (hESC) line to study WNT-induced β-catenin DNA interactions (HVRDe009-A-2) 2021 Amsterdam (DE-627)ELV007117167 volume:627 year:2015 day:11 month:03 pages:10-20 extent:11 https://doi.org/10.1016/j.msea.2014.12.107 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA AR 627 2015 11 0311 10-20 11 045F 600 |
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10.1016/j.msea.2014.12.107 doi GBV00000000000190A.pica (DE-627)ELV018645976 (ELSEVIER)S0921-5093(14)01618-9 DE-627 ger DE-627 rakwb eng 600 670 530 600 DE-600 670 DE-600 530 DE-600 570 VZ Chen, Ying verfasserin aut Strengthening of an Al–Cu–Mg alloy processed by high-pressure torsion due to clusters, defects and defect–cluster complexes 2015transfer abstract 11 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier A physically-based model is established to predict the strength of cluster strengthened ultrafine-grained ternary alloys processed by severe plastic deformation. The model incorporates strengthening due to dislocations, grain refinement, co-clusters (due to short range order and modulus strengthening) and solute segregation. The model is applied to predict strengthening in an Al–Cu–Mg alloy processed by high-pressure torsion (HPT). The microstructure was investigated using transmission electron microscopy (TEM), atom probe tomography (APT), and X-ray diffraction (XRD). Analysis of XRD line profile broadening shows that the dislocation density increases significantly due to severe plastic deformation, which contributes to the increase of strength. APT reveals the presence of nanoscale co-clusters and defect-solute clustering. The concepts of the multiple local interaction energies between solutes and dislocations were used to quantitatively explain the strengthening mechanisms. The model shows a good correspondence with measured microstructure data and measured strength. A physically-based model is established to predict the strength of cluster strengthened ultrafine-grained ternary alloys processed by severe plastic deformation. The model incorporates strengthening due to dislocations, grain refinement, co-clusters (due to short range order and modulus strengthening) and solute segregation. The model is applied to predict strengthening in an Al–Cu–Mg alloy processed by high-pressure torsion (HPT). The microstructure was investigated using transmission electron microscopy (TEM), atom probe tomography (APT), and X-ray diffraction (XRD). Analysis of XRD line profile broadening shows that the dislocation density increases significantly due to severe plastic deformation, which contributes to the increase of strength. APT reveals the presence of nanoscale co-clusters and defect-solute clustering. The concepts of the multiple local interaction energies between solutes and dislocations were used to quantitatively explain the strengthening mechanisms. The model shows a good correspondence with measured microstructure data and measured strength. Cluster–dislocation interaction Elsevier Atom probe tomography (APT) Elsevier High-pressure torsion Elsevier Modelling Elsevier Strengthening mechanism Elsevier Gao, Nong oth Sha, Gang oth Ringer, Simon P. oth Starink, Marco J. oth Enthalten in Elsevier Cutts, Joshua ELSEVIER Generation of 3X FLAG-tagged human embryonic stem cell (hESC) line to study WNT-induced β-catenin DNA interactions (HVRDe009-A-2) 2021 Amsterdam (DE-627)ELV007117167 volume:627 year:2015 day:11 month:03 pages:10-20 extent:11 https://doi.org/10.1016/j.msea.2014.12.107 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA AR 627 2015 11 0311 10-20 11 045F 600 |
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Enthalten in Generation of 3X FLAG-tagged human embryonic stem cell (hESC) line to study WNT-induced β-catenin DNA interactions (HVRDe009-A-2) Amsterdam volume:627 year:2015 day:11 month:03 pages:10-20 extent:11 |
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Strengthening of an Al–Cu–Mg alloy processed by high-pressure torsion due to clusters, defects and defect–cluster complexes |
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A physically-based model is established to predict the strength of cluster strengthened ultrafine-grained ternary alloys processed by severe plastic deformation. The model incorporates strengthening due to dislocations, grain refinement, co-clusters (due to short range order and modulus strengthening) and solute segregation. The model is applied to predict strengthening in an Al–Cu–Mg alloy processed by high-pressure torsion (HPT). The microstructure was investigated using transmission electron microscopy (TEM), atom probe tomography (APT), and X-ray diffraction (XRD). Analysis of XRD line profile broadening shows that the dislocation density increases significantly due to severe plastic deformation, which contributes to the increase of strength. APT reveals the presence of nanoscale co-clusters and defect-solute clustering. The concepts of the multiple local interaction energies between solutes and dislocations were used to quantitatively explain the strengthening mechanisms. The model shows a good correspondence with measured microstructure data and measured strength. |
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A physically-based model is established to predict the strength of cluster strengthened ultrafine-grained ternary alloys processed by severe plastic deformation. The model incorporates strengthening due to dislocations, grain refinement, co-clusters (due to short range order and modulus strengthening) and solute segregation. The model is applied to predict strengthening in an Al–Cu–Mg alloy processed by high-pressure torsion (HPT). The microstructure was investigated using transmission electron microscopy (TEM), atom probe tomography (APT), and X-ray diffraction (XRD). Analysis of XRD line profile broadening shows that the dislocation density increases significantly due to severe plastic deformation, which contributes to the increase of strength. APT reveals the presence of nanoscale co-clusters and defect-solute clustering. The concepts of the multiple local interaction energies between solutes and dislocations were used to quantitatively explain the strengthening mechanisms. The model shows a good correspondence with measured microstructure data and measured strength. |
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A physically-based model is established to predict the strength of cluster strengthened ultrafine-grained ternary alloys processed by severe plastic deformation. The model incorporates strengthening due to dislocations, grain refinement, co-clusters (due to short range order and modulus strengthening) and solute segregation. The model is applied to predict strengthening in an Al–Cu–Mg alloy processed by high-pressure torsion (HPT). The microstructure was investigated using transmission electron microscopy (TEM), atom probe tomography (APT), and X-ray diffraction (XRD). Analysis of XRD line profile broadening shows that the dislocation density increases significantly due to severe plastic deformation, which contributes to the increase of strength. APT reveals the presence of nanoscale co-clusters and defect-solute clustering. The concepts of the multiple local interaction energies between solutes and dislocations were used to quantitatively explain the strengthening mechanisms. The model shows a good correspondence with measured microstructure data and measured strength. |
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