Effect of heat-treatment on phase stability and grain coarsening in a powder-processed Al–Ni–Co–Zr–Y alloy

Gordillo, M. A.; Bedard, Benjamin A.; Watson, Thomas J.; Aindow, Mark

doi:10.1007/s10853-014-8297-x

Cited by 5 publications

(2 citation statements)

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“…In order to predict the grain size for different phases, grain coarsening kinetics 51,52 was adopted to describe the evolution of α lath width and β grain size, as follows: where c is coarsening exponent, negatively related to grain growth rate, D ¯ i the average size of grains after coarsening, D ¯ 0 the initial average grain size, k 0 the kinetic constant, Q the activation energy, taken as 97 kJ/mol for Ti-6Al-4V, 51 R the gas constant, T the absolute temperature during heat treatment, and t the holding time. For α lath length, to account for constraint by β grain boundaries, a correction prefactor is defined as 0.2, that is, α lath length is approximately one-fifth of the β grain size.…”

Section: Modeling Frameworkmentioning

confidence: 99%

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Process-structure-property modeling for postbuild heat treatment of powder bed fusion Ti-6Al-4V

Liu

Yang

Chai

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part L:

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Postbuild heat treatment is an important component in optimized manufacturing processing for laser beam powder bed fusion (PBF-LB) Ti-6Al-4V. The development of predictive modeling, based on the understanding of the relationships between process parameters, microstructure evolution, and mechanical properties, is a potentially key ingredient in this optimization process. In this paper, a process-structure-property (PSP) model is developed to predict the effect of postbuild heat treatment on yield strength, which is a key tensile property for PBF-LB Ti-6Al-4V. The process-structure part is developed with a focus on the prediction of solid-state phase transformation, especially dissolution of martensite during the heating phase. Subsequent tensile properties are quantified by a microstructure-sensitive yield strength model based on the predicted microstructure variables. The integrated PSP model is validated via experimentally measured phase fraction, α lath width and monotonic tensile tests on PBF-LB Ti-6Al-4V with different heat treatment temperatures, for identification of optimal process parameters.

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Section: Modeling Frameworkmentioning

confidence: 99%

“…)) / k αw,i ] 1/nα w,i−1 (11) In order to predict the grain size for different phases, grain coarsening kinetics 51,52 was adopted to describe the evolution of α lath width and β grain size, as follows:…”

Section: Modeling Frameworkmentioning

confidence: 99%