Kinetics of F.C.C. → B.C.C. heterogeneous martensitic nucleation—I. The critical driving force for athermal nucleation

Ghosh, Gautam; Olson, Gregory B.

doi:10.1016/0956-7151(94)90468-5

Cited by 257 publications

(164 citation statements)

References 46 publications

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“…Solute additions generally strengthen the austenite and there is considerable evidence that the ability of austenite to resist deformation is an important factor in its decomposition t o martensite [34]. An appropriate solution strengthening model for austenite is that its strength should vary with the square root of the solute concentration (wt.%); therefore, Ghosh and Olson [35] were able to demonstrate that the critical driving force should vary with the concentration as follows:…”

Section: Effect Of Strength On Transformationmentioning

confidence: 99%

Martensite and Bainite in Steels : Transformation Mechanism & Mechanical Properties

Bhadeshia

1997

J. Phys. IV France

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Abstract:Many essential properties of iron alloys depend on what actually happens when one allotropic form gives way to another, i.e. on the mechanism of phase change. The dependence 05 the$ mechanical properties on the atomic mechanism by which bainite and martensite grow is the focus of this paper. The discussion is illustrated in the context of some common engineering design parameters, and with a brief example of the inverse problem in which the mechanism may be a function of the mechanical properties.

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Section: Effect Of Strength On Transformationmentioning

confidence: 99%

Martensite and Bainite in Steels : Transformation Mechanism & Mechanical Properties

Bhadeshia

1997

J. Phys. IV France

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“…Recently, our group also proposed the use of a model based on Seeger's model [126,127]. The original model had been used for a phenomenological understanding of the critical resolved shear stress (CRSS), which has also proved valid for the application to diffusionless martensitic transformations [128,129] as well as the case of stress hysteresis in stress-induced martensitic transformation [130]. The following discussions are based on this model.…”

Section: Kinetics Of Ni-mn-based Magnetic Shape Memory Alloysmentioning

confidence: 99%

Thermodynamics and Kinetics of Martensitic Transformation in Ni-Mn-based Magnetic Shape Memory Alloys

Kainuma

Kihara

et al. 2015

MATEC Web of Conferences

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Abstract. We herein present a review of recent thermodynamic and kinetic studies on Ni-Mn-based magnetic shape memory alloys along with some new data supporting the kinetic discussion. Magnetic phase diagrams and Clausius-Clapeyron relationships are mainly discussed for Ni-Mn-Ga and Ni-Mn-In systems. For the kinetics, a phenomenological model based on Seeger's model is used to describe the temperature dependence of magnetic field hysteresis, as well as the change of hysteresis under different sweeping rates of magnetic fields.

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“…The right side of the above equation is composed of defect potency, G n , which can be approximated as a constant value for a certain material, 97,98 and mechanical driving force, ΔG σ , which is a function of stress state and strength goal of the material. According to the Olson-Cohen model, 93 given the stress state of the material and desired M σ S temperature, it is possible to provide a critical value for the austenite stability parameter, and thus allow dispersed-austenite composition to be designed through the CALPHAD genomic databases.…”

Section: Numerical Expressionmentioning

confidence: 99%

“…To quantitatively design transformation toughness in UHS steel, a model linked with thermodynamic database is proposed by Olson and his colleagues 67,[97][98][99][100][101] in a series of works. The underlining approach is based on an austenite stability parameter (ASP), 97,98 which can be expressed as:…”

Section: Numerical Expressionmentioning

confidence: 99%

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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Kinetics of F.C.C. → B.C.C. heterogeneous martensitic nucleation—I. The critical driving force for athermal nucleation

Cited by 257 publications

References 46 publications

Martensite and Bainite in Steels : Transformation Mechanism & Mechanical Properties

Martensite and Bainite in Steels : Transformation Mechanism & Mechanical Properties

Thermodynamics and Kinetics of Martensitic Transformation in Ni-Mn-based Magnetic Shape Memory Alloys

Cybermaterials: materials by design and accelerated insertion of materials

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