Particle coarsening in binary and multicomponent alloys

Morral, J. E.; Purdy, G.R.

doi:10.1016/0956-716x(94)90413-8

Cited by 99 publications

(40 citation statements)

References 3 publications

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“…The work of Popov [9,10] dealt with the multicomponent growth and evolution of PSD, without nucleation. In the coarsening region, several multicomponent models [12,13,14,15] have been proposed. The complete model and implementation of integrated nucleation, growth and coarsening for multicomponent systems are not available.…”

Section: Multicomponent Precipitation Modelsmentioning

confidence: 99%

Computer Simulations for the Prediction of Microstructure/Property Variation in Aeroturbine Disks

Jou¹,

Voorhees²,

Olson³

2004

Superalloys 2004 (Tenth International Symposium)

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In support of a new methodology of accelerated development and qualification of new materials, the PrecipiCalc TM software has been developed as an efficient, high-fidelity 3D multiphase precipitation simulator grounded in computational thermodynamics and multicomponent diffusional nucleation and growth models incorporating interfacial dissipations. With extensive validation under a major federally sponsored program, the software has been successfully applied to the accurate and rapid simulation of multiscale (from nm to µm), multimodal γ microstructure development in IN100 Ni-based aeroturbine disk alloys under complex commercial heattreatment processing. Integration of PrecipiCalc with FEM heat transfer simulation and a strength model has demonstrated accurate prediction of property variation for accelerated process optimization and probabilistic modeling of design minimum properties.

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Section: Multicomponent Precipitation Modelsmentioning

confidence: 99%

Computer Simulations for the Prediction of Microstructure/Property Variation in Aeroturbine Disks

Jou¹,

Voorhees²,

Olson³

2004

Superalloys 2004 (Tenth International Symposium)

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“…For practical design purposes, it is found that the simplified dilute solution model proposed by Lee et al 39 may be directly applied, if only an underdeveloped database is available. However, the Morral-Purdy model 36,37 overall provides coarsening rate with highest accuracy.…”

Section: Materials By Design: Design Enginementioning

confidence: 99%

“…A later work performed by Umantsev and Olson 40 removed the constraint of dilute solution thermodynamics, but neglected effects of capillarity on the precipitation composition. Further improvements have been made by Morral and Purdy 36,37 with a more general description of the coarsening in multicomponent alloys. Kuehmann and Voorhees 38 considered flux balance boundary conditions on the interface rather than local equilibrium, but off-diagonal terms in the diffusion matrix were omitted for simplification.…”

Section: Materials By Design: Design Enginementioning

confidence: 99%

“…For example, effective precipitation strengthening relies on the size control of the particle precipitation, and thus requires predictive models for the kinetic process of particle size evolution. A good example is the extensive application of the coarsening model represented by the Lifshitz-Slyozov-Wagner (LSW) theory [34][35][36][37][38] for precipitation size evolution in a dilute binary system. To couple with the CALPHAD thermodynamic/kinetic databases for multicomponent and multiphase simulation, several models 39,40 were proposed based on extensions of the LSW theory.…”

Section: Materials By Design: Design Enginementioning

confidence: 99%

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Cybermaterials: materials by design and accelerated insertion of materials

Xiong

Olson

2016

npj Comput Mater

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Cybermaterials innovation entails an integration of Materials by Design and accelerated insertion of materials (AIM), which transfers studio ideation into industrial manufacturing. By assembling a hierarchical architecture of integrated computational materials design (ICMD) based on materials genomic fundamental databases, the ICMD mechanistic design models accelerate innovation. We here review progress in the development of linkage models of the process-structure-property-performance paradigm, as well as related design accelerating tools. Extending the materials development capability based on phase-level structural control requires more fundamental investment at the level of the Materials Genome, with focus on improving applicable parametric design models and constructing high-quality databases. Future opportunities in materials genomic research serving both Materials by Design and AIM are addressed. BACKGROUND: ICMD BLUEPRINTThe far-reaching multi-agency enterprise, Materials Genome Initiative (MGI), 1,2 highlights computational materials design techniques grounded in fundamental databases, which can support an ambition of decreasing the full development cycle of new materials from the present 10-20 years to ⩽ 5 years. As a subfield of the broader field of integrated computational materials engineering (ICME), which includes modelling of existing materials, 3,4 the MGI centres on design of new materials and their accelerated qualification through the inherent predictability of designed systems. Creation of the infrastructure of this technology has been a global activity as summarised in a recent series of viewpoint papers on materials genomics. 5-10 Particularly notable has been the design work of Bhadeshia 8 at the University of Cambridge and his former students including Harada 11,12 and Reed. 13 The highest achievements of full cycle compression have been demonstrated in US research, which will be the focus of this paper.In the development of applied engineering materials design powered by fundamental thermodynamic and kinetic genomic databases, a hierarchical infrastructure called ICMD presents a proven scenario of materials genomic design for accelerated engineering innovation. As indicated in Figure 1, the backbone of the ICMD infrastructure is composed of Materials by Design and accelerated insertion of materials (AIM) techniques. The application of both techniques spans the entire course of materials innovation, which can be divided into three phases: concept implementation, materials and processing design, and material qualification. The quality of the materials innovation is determined by the mechanistic models applied in the ICMD framework, which follow the universal process-structure-property-performance paradigm in materials science. 14 In Materials by Design, both process-structure and structure-property models are evaluated and refined to maximise the model-predictability grounded in the Materials Genome, which is powered by fundamental research on

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“…It is therefore necessary to treat the multi-component diffusion problem. Following Morral and Purdy [25] the generalized LSW treatment for multi-component systems is written as…”

Section: Bulk Diffusion Controlmentioning

confidence: 99%

Model Fe-Al Steel with Exceptional Resistance to High Temperature Coarsening. Part I: Coarsening Mechanism and Particle Pinning Effects

Zhou

Zurob

O’Malley

et al. 2014

Metall Mater Trans A

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The mechanism by which austenite particles coarsen in a delta-ferrite matrix was investigated in a model Al-containing steel. Special emphasis was placed on the effect of volume fraction on the coarsening kinetics as well as the ability of the particles to pin the growth of delta-ferrite grains. The specimens were heated to temperatures in the range of 1123 K to 1583 K (850°C to 1305°C) in the austenite plus delta-ferrite two-phase region and held for times between 5 minutes and 288 hours, followed by water quenching. When the reheating temperature was higher than 1473 K (1200°C), the coarsening of austenite particles was found to evolve as t 1/3 , which is typical of volume diffusion-controlled behavior. For lower temperatures, the particle coarsening behavior followed t 1/4 kinetics which is consistent with a grain boundary diffusioncontrolled process. The observations were interpreted in terms of the modified LifshitzSlyozov-Wanger theory by considering multi-component diffusion, particle volume fraction, and the fact that this two-phase material is a non-ideal solid solution. Three types of interaction between particle coarsening and grain growth were observed. Grain growth was completely pinned when the particle pinning force was much larger than the driving force for grain growth. When the particle pinning force was comparable to the driving force for grain growth, the deltaferrite grains were observed to grow at a rate which is controlled by the kinetics of coarsening of the austenite particles. Finally, when the particle pinning force was smaller than the driving force for grain growth, significant grain growth occurred but its rate was lower than that expected in the absence of particle pinning. The results point to an effective approach for controlling grain growth at high temperatures.

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Particle coarsening in binary and multicomponent alloys

Cited by 99 publications

References 3 publications

Computer Simulations for the Prediction of Microstructure/Property Variation in Aeroturbine Disks

Computer Simulations for the Prediction of Microstructure/Property Variation in Aeroturbine Disks

Cybermaterials: materials by design and accelerated insertion of materials

Model Fe-Al Steel with Exceptional Resistance to High Temperature Coarsening. Part I: Coarsening Mechanism and Particle Pinning Effects

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