Deformation induced grain boundaries in commercially pure aluminium

Chang, C.P.; Sun, P.L.; Kao, P.W.

doi:10.1016/s1359-6454(00)00138-5

Cited by 146 publications

(65 citation statements)

References 26 publications

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“…The other is a polygonized dislocation wall (Fig. 4 (f)), similar to those in conventionally deformed metals during recovery [71,72]. This indicates the parallel dislocation wall is the transition state between the polygonized dislocation wall and the formation of a grain boundary.…”

Section: Ebsdmentioning

confidence: 55%

A model of grain refinement and strengthening of Al alloys due to cold severe plastic deformation

Qiao

Gao

Starink

2012

Philosophical Magazine

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This paper presents a model which quantitatively predicts grain refinement and strength/hardness of Al alloys after very high levels of cold deformation through processes including cold rolling, equal channel angular pressing (ECAP), multiple forging (MF), accumulative rolling bonding (ARB) and embossing. The model deals with materials in which plastic deformation is exclusively due to dislocation movement, which is in good approximation the case for aluminium alloys. In the early stages of deformation, the generated dislocations are stored in grains and contribute to overall strength. With increase in strain, excess dislocations form and/or move to new cell walls/grain boundaries and grains are refined. We examine this model using both our own data as well as the data in the literature. It is shown that grain size and strength/hardness are predicted to a good accuracy.

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Section: Ebsdmentioning

confidence: 55%

A model of grain refinement and strengthening of Al alloys due to cold severe plastic deformation

Qiao

Gao

Starink

2012

Philosophical Magazine

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“…In our own TEM experiments on AlZr (see Fig.6c,d) we find dislocation densities that are even lower, lower than 10 14 /m 2 and also other TEM work on SPD alloys have shown dislocation densities in grains that are aslow or lower than this [24]. Thus, whilst refining the model by predicting ρ G might slightly improve the accuracy of the model, the relative benefit of such an expansion of the model is very limited.…”

Section: μMmentioning

confidence: 64%

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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“…Experimental results from TEM are qualitatively beautiful and often quantitatively useful, such as the nature and structure of dislocations within a dislocation wall 4,5 or the dislocation types, spacings, and reactions involved in a singledislocation grain-boundary interaction. 6,7 These observations are useful snapshots of local behavior, but the volume of material probed is necessarily limited,* and therefore, capturing the grain behavior at longer length scales and from bulk samples is of limited use. *Assuming that it is possible to study a 100-nm-thick 10 9 10-lm 2 foils in one half day of TEM time, it would take a billion years of TEM time to study the volume of material contained within a little finger.…”

Section: Introductionmentioning

confidence: 99%

Toward Predictive Understanding of Fatigue Crack Nucleation in Ni-Based Superalloys

Jiang

Dunne

Britton

2017

JOM

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Predicting when and where materials fail is a holy grail for structural materials engineering. Development of a predictive capability in this domain will optimize the employment of existing materials, as well as rapidly enhance the uptake of new materials, especially in high-risk, high-value applications, such as aeroengines. In this article, we review and outline recent efforts within our research groups that focus on utilizing full-field measurement and calculation of micromechanical deformation in Ni-based superalloys. In paticular, we employ high spatial resolution digital image correlation (HR-DIC) to measure surface strains and a high-angular resolution electron backscatter diffraction technique (HR-EBSD) to measure elastic distortion, and we combine these with crystal plasticity finite element (CPFE) modeling. We target our studies within a system of samples that includes single, oligo, and polycrystals where the boundary conditions, microstructure, and loading configuration are precisely controlled. Coupling of experiment and simulation in this manner enables enhanced understanding of crystal plasticity, as demonstrated with case studies in deformation compatibility; spatial distributions of slip evolution; deformation patterning around microstructural defects; and ultimately development of predictive capability that probes the location of microstructurally sensitive fatigue cracks. We believe that these studies present a careful calibration and validation of our experimental and simulation-based approaches and pave the way toward new understanding of crack formation in engineering alloys.

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Deformation induced grain boundaries in commercially pure aluminium

Cited by 146 publications

References 26 publications

A model of grain refinement and strengthening of Al alloys due to cold severe plastic deformation

A model of grain refinement and strengthening of Al alloys due to cold severe plastic deformation

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

Toward Predictive Understanding of Fatigue Crack Nucleation in Ni-Based Superalloys

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