Construction of the Al–Ni–Si phase diagram over the whole composition and temperature ranges: thermodynamic modeling supported by key experiments and first-principles calculations

Du, Yong; Hu, Rong Xiang; Wang, Jiong; Zhang, Wei Wei; Nash, Philip; Lu, Xiao Gang

doi:10.3139/146.101681

Cited by 22 publications

(4 citation statements)

References 34 publications

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“…The latest thermodynamic parameters of the Al-FeMg, [46] Al-Mg-Ni, [47] Al-Ni-Si, [48] Al-Cu-Fe, [49] Al-CuMg, [50] Al-Cu-Ni, [51] Fe-Mg-Ni, [52] Fe-Mg-Si, [53] Mg-NiSi, [54] Cu-Mg-Ni [55] and Fe-Ni-Si [56] systems are adopted in the present thermodynamic database.…”

Section: The Ternary Systemsmentioning

confidence: 99%

Thermodynamic Description of the Al-Fe-Mg-Ni-Si and Al-Cu-Fe-Mg-Ni Quinary Systems and Its Application to Solidification Simulation

Song

et al. 2015

J. Phase Equilib. Diffus.

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Based on the critical review of the available experimental phase equilibrium data for the constituent quaternary systems in the Al-Fe-Mg-Ni-Si and Al-Cu-Fe-Mg-Ni quinary systems, a set of self-consistent thermodynamic parameters for these systems has been obtained using the CALPHAD approach. In combination with the constituent binary, ternary and quaternary systems, the thermodynamic database for the quinary Al-Fe-Mg-Ni-Si and Al-Cu-Fe-Mg-Ni systems was developed. Comprehensive comparisons between the calculated and measured phase diagrams and invariant reactions showed that the experimental data were satisfactorily accounted for by the present thermodynamic description. The established database was used to describe the solidification behaviors of Al alloys 6063 (Al-0.39Si-0.20Fe-0.43Mg, in wt.%) and 2618 (Al-2.24Cu-1.42Mg-0.9Fe-0.9Ni, in wt.%) under Gulliver-Scheil non-equilibrium condition. The reliability of the present thermodynamic database was also verified by the good agreement between the Gulliver-Scheil calculation and experiment.

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Section: The Ternary Systemsmentioning

confidence: 99%

Thermodynamic Description of the Al-Fe-Mg-Ni-Si and Al-Cu-Fe-Mg-Ni Quinary Systems and Its Application to Solidification Simulation

Song

et al. 2015

J. Phase Equilib. Diffus.

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“…Isothermal sections of the corresponding ternary diagram could be found in works [9,10] for temperatures 550, 750, and 850°С. It can be seen from those diagrams that at a temperature of 550°C, the range of compositions corresponding to the considered alloy corresponds to the zone of three-phase equilibrium (Al)-Si-NiAl3.…”

Section: Introductionmentioning

confidence: 99%

Sintered Al–Si–Ni Alloy: Structure and Properties. I. Powder Obtaining

Bagliuk,

Monastyrska,

Kaverinsky

et al. 2024

Metallofiz. Noveishie Tekhnol.

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The work is aimed at the development of a new sintered aluminium alloy with a low temperature coefficient of linear expansion that opens fundamentally new opportunities for solving the modern needs of domestic machinebuilding and instrument-making enterprises in light materials with special physical properties. Phase composition, structure and properties of cast aluminium alloys Al-Si-Ni with different contents of silicon and nickel, as well as powders obtained by grinding rapidly-quenched metal ribbons of these alloys in a high-energy ball mill are studied using various methods of structural analysis. The obtained values of the coefficient of linear expansion of the studied alloys in the cast state are significantly lower than those of pure aluminium, and they amount to ≅ (11-15)⋅10 −6 K −1 . The method of obtaining a powder of a rapidly-crystallized alloy by manufacturing a rapidly-quenched metal ribbons using melt spinning followed by its dispersion in a high-energy ball mill is proposed for the fabrication of finely-dispersed powder and subsequent hot pressing.

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“…This is now considered as a routine method to perform physically sound thermodynamic modelling, which can sometimes circumvent the restriction of calorimetry (e.g., radiative alloy systems), 19,20 and assist in determining reliable experimental data sets. 19,[21][22][23] At present, there are many commercial software packages available based on the CALPHAD technique, e.g., Thermo-Calc, Pandat, FactSage, MTDATA. 24,25 However, not until the release of the DICTRA (diffusion controlled transformations) package by the Thermo-Calc software company in early 90s 26,27 for diffusion kinetic modelling, did the CALPHAD approach start to demonstrate its capability of handling sophisticated processstructure modelling.…”

Section: Materials By Design: Design Enginementioning

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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Construction of the Al–Ni–Si phase diagram over the whole composition and temperature ranges: thermodynamic modeling supported by key experiments and first-principles calculations

Cited by 22 publications

References 34 publications

Thermodynamic Description of the Al-Fe-Mg-Ni-Si and Al-Cu-Fe-Mg-Ni Quinary Systems and Its Application to Solidification Simulation

Thermodynamic Description of the Al-Fe-Mg-Ni-Si and Al-Cu-Fe-Mg-Ni Quinary Systems and Its Application to Solidification Simulation

Sintered Al–Si–Ni Alloy: Structure and Properties. I. Powder Obtaining

Cybermaterials: materials by design and accelerated insertion of materials

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