On the determination of single-crystal plasticity parameters by diffraction: optimization of a polycrystalline plasticity model using a genetic algorithm

Skippon, Travis; Mareau, Charles; Daymond, Mark R.

doi:10.1107/s0021889812026854

Cited by 24 publications

(8 citation statements)

References 29 publications

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“…The small atomic radii of oxygen, nitrogen and carbon atoms allow them to adopt octahedral interstitial sites in the HCP metals [56] and these have very pronounced effects even at low [18,36,50,56,58] and Zr [4,5,35,45,59] at room temperature.…”

Section: (D) Effects Of Alloyingmentioning

confidence: 99%

On the mechanistic basis of deformation at the microscale in hexagonal close-packed metals

2015

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This is an overview of micromechanical deformation mechanisms in hexagonal close-packed metals. We start with an in-depth discussion of single-crystal behaviour concerning crystallographic slip, plastic anisotropy and deformation twinning. We move on to discuss some complexities involved in polycrystalline deformation and modelling approaches, focusing on rate effects in titanium alloys that are thought to play a significant role in dwell fatigue. We finish our review with a brief commentary on current understanding and state-of-the-art techniques, and outline some key areas where further study is recommended.

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Section: (D) Effects Of Alloyingmentioning

confidence: 99%

On the mechanistic basis of deformation at the microscale in hexagonal close-packed metals

2015

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“…Notably, artificial neural networks have been used extensively in determining the mechanical properties and the kinetics of the phase transformation of titanium [7][8][9][10][11][12][13], nickel [14] and steel [15][16][17][18][19][20]. Genetic algorithm has also been used broadly in materials science [21][22][23][24] to optimize parameters involved in a phenomenon [25,26] and also microstructural evolutions [27,28]. In some cases, GA has been integrated with ANN to optimize the results of a developed neural network model [29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Developing a phenomenological equation to predict yield strength from composition and microstructure in β processed Ti-6Al-4V

Ghamarian

Hayes

Samimi

et al. 2016

Materials Science and Engineering: A

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A constituent-based phenomenological equation to predict yield strength values from quantified measurements of the microstructure and composition of β processed Ti-6Al-4V alloy was developed via the integration of artificial neural networks and genetic algorithms. It is shown that the solid solution strengthening contributes the most to the yield strength (~80% of the value), while the intrinsic yield strength of the two phases and microstructure have lower effects (~10% for both terms). Similarities and differences between the proposed equation and the previously established phenomenological equation for the yield strength prediction of the α+β processed Ti-6Al-4V alloys are discussed. While the two equations are very similar in terms of the intrinsic yield strength of the two constituent phases, the solid solution strengthening terms and the 'Hall-Petch'-like effect from the alpha lath, there is a pronounced difference in the role of the basketweave factor in strengthening. Finally, Monte Carlo simulations were applied to the proposed phenomenological equation to determine the effect of measurement uncertainties on the estimated yield strength values. AbstractA constituent-based phenomenological equation to predict yield strength values from quantified measurements of the microstructure and composition of β processed Ti-6Al-4V alloy was developed via the integration of artificial neural networks and genetic algorithms. It is shown that the solid solution strengthening contributes the most to the yield strength (~80% of the value), while the intrinsic yield strength of the two phases and microstructure have lower effects (~10% for both terms). Similarities and differences between the proposed equation and the previously established phenomenological equation for the yield strength prediction of the α+β processed Ti-6Al-4V alloys are discussed. While the two equations are very similar in terms of the intrinsic yield strength of the two constituent phases, the solid solution strengthening terms and the 'Hall-Petch'-like effect from the alpha lath, there is a pronounced difference in the role of the basketweave factor in strengthening. Finally, Monte Carlo simulations were applied to the Final document prior to publication in Materials Science and Engineering A Available at http://dx.doi.org/10:1016/j.msea.2016.02.052proposed phenomenological equation to determine the effect of measurement uncertainties on the estimated yield strength values.

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“…However, experimentally local activation of basal slip has been reported near twins and kink bands, 4 cracks, 2,5 and free surfaces. [5][6][7][8] Further, many recent works show that including basal slip is necessary to give good agreement between modeling predictions and experimental results, for either intergranular stress development, [9][10][11][12] or texture evolution. 13,14 Therefore any solid microstructural evidence of basal slip operation in zirconium alloys will be invaluable for validating the input parameters of existing and future modeling works.…”

mentioning

confidence: 98%

Deformation mechanism study of a hot rolled Zr-2.5Nb alloy by transmission electron microscopy. I. Dislocation microstructures in as-received state and at different plastic strains

Long

Daymond

Yao

2015

Journal of Applied Physics

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On the determination of single-crystal plasticity parameters by diffraction: optimization of a polycrystalline plasticity model using a genetic algorithm

Cited by 24 publications

References 29 publications

On the mechanistic basis of deformation at the microscale in hexagonal close-packed metals

On the mechanistic basis of deformation at the microscale in hexagonal close-packed metals

Developing a phenomenological equation to predict yield strength from composition and microstructure in β processed Ti-6Al-4V

Deformation mechanism study of a hot rolled Zr-2.5Nb alloy by transmission electron microscopy. I. Dislocation microstructures in as-received state and at different plastic strains

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