Microstructural evolution and mechanical properties of Cu–Al alloys subjected to equal channel angular pressing

Qu, Sanyin; An, Xianghai; Yang, Hao; Huang, Chuanjun; Yang, Gang; Zang, Qi Shan; Wang, Z.G.; Sheng, Wu; Zhang, Z.F.

doi:10.1016/j.actamat.2008.12.002

Cited by 344 publications

(188 citation statements)

References 41 publications

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“…Data on SPD processed Cu-Al and Cu-Zn alloys also shows increase in solute content drastically reduces grain size [112,113]. Whilst this data has been interpreted in terms of the stacking fault energy [112,113], it is noted that the observed influence of alloying elements is also consistent with our model. Consistent with the occurrence of dynamic recovery at very high strain, our model does indeed have a tendency to overpredict the grain refinement at very high effective strains (on average about 14% overprediction in strain range 9 to 18).…”

Section: Dynamic Recovery and The Maximum Grain Refinement Achievablesupporting

confidence: 76%

“…Particularly, recombination of dissociated dislocations through cross-slip has been highlighted. If the minimum stationary grain size is governed by a balance between dislocation generation and dislocation annihilation and recombination, the minimum grain size is proportional to the square root of the stacking fault energy [111], and analysis of experimental data has shown correlations between grain size and stacking fault energy [112,113]. Data on SPD processed Cu-Al and Cu-Zn alloys also shows increase in solute content drastically reduces grain size [112,113].…”

Section: Dynamic Recovery and The Maximum Grain Refinement Achievablementioning

confidence: 99%

“…If the minimum stationary grain size is governed by a balance between dislocation generation and dislocation annihilation and recombination, the minimum grain size is proportional to the square root of the stacking fault energy [111], and analysis of experimental data has shown correlations between grain size and stacking fault energy [112,113]. Data on SPD processed Cu-Al and Cu-Zn alloys also shows increase in solute content drastically reduces grain size [112,113]. Whilst this data has been interpreted in terms of the stacking fault energy [112,113], it is noted that the observed influence of alloying elements is also consistent with our model.…”

Section: Dynamic Recovery and The Maximum Grain Refinement Achievablementioning

confidence: 99%

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Predicting grain refinement by cold severe plastic deformation in alloys using volume averaged dislocation generation

et al. 2009

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The grain refinement during severe plastic deformation (SPD) is predicted using volume averaged amount of dislocations generated. The model incorporates a new expansion of a model for hardening in the parabolic hardening regime, in which the work hardening depends on the effective dislocation free path related to the presence of non shearable particles and solute-solute nearest neighbour interactions.These two mechanisms give rise to dislocation multiplication in the form of generation of geometrically necessary dislocations and dislocations induced by local bond energies. The model predicts the volume averaged amount of dislocations generated and considers that they distribute to create cell walls and move to existing cell walls/grain boundaries where they increase in the grain boundary misorientation. The model predicts grain sizes of Al alloys subjected to SPD over 2 orders of magnitude. The model correctly predicts the considerable influence of Mg content and content of nonshearable particles on the grain refinement during SPD.

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Section: Dynamic Recovery and The Maximum Grain Refinement Achievablesupporting

confidence: 76%

Section: Dynamic Recovery and The Maximum Grain Refinement Achievablementioning

confidence: 99%

Section: Dynamic Recovery and The Maximum Grain Refinement Achievablementioning

confidence: 99%

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Predicting grain refinement by cold severe plastic deformation in alloys using volume averaged dislocation generation

et al. 2009

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“…[6,[11][12][13] In FCC materials, it is known that SFE can affect the deformation mechanisms significantly. [14][15][16] When the SFE is high, dislocation slip in the wavy mode dominates the plastic deformation. [17] In contrast, when the SFE is low, dislocation slip in the planar mode dominates and dislocation recovery will be inhibited; besides, stacking faults (SFs) and deformation twins (DTs) prevail.…”

mentioning

confidence: 99%

“…[17] In contrast, when the SFE is low, dislocation slip in the planar mode dominates and dislocation recovery will be inhibited; besides, stacking faults (SFs) and deformation twins (DTs) prevail. [15,18] Thus SFE should impact crucially on the ductility of FCC alloys via determining the strain-hardening behavior.…”

mentioning

confidence: 99%