基于“材料基因组工程”的3种方法在镍基高温合金中的应用

doi:10.3981/j.issn.1000-7857.2015.10.007

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Abstract: "Materials Genome Engineering" is industrial application oriented. Exploring and using materials computational tools, experimental tools and databases, it emphasizes the integration and development of these three key capabilities to solve materials issues critical to national welfare and people's livelihood. This paper presents the applications of several "Materials Genome Engineering" based methods in nickel-based superalloys, namely high-throughput alloy fabrication, high-throughput thermodynamic and kinetic data acquisition, multi- scale and multi- dimension microstructure characterization, and miniature specimen testing. Quantitative predictive and descriptive capabilities to reveal the relationships among material composition, processing, structure, and property will undoubtedly be faced with great challenges, but they will progress steadily in this context. "Materials Genome Engineering" based methods will promote the research and development of nickel-based superalloys, accelerating the transition from laboratory work to industrial application.

Key words： Materials Genome Engineering high-throughput experimental methods Nickel-based superalloy diffusion multiple

Received: 02 April 2015

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	Articles by authors
	WANG Xin
	ZHU Lilong
	FANG Jiao
	LIU Jun
	QI Haiying
	JIANG Liang

Cite this article:

WANG Xin,ZHU Lilong,FANG Jiao, et al. Applications of "Materials Genome Engineering" based methods in Nickel-based superalloys[J]. Science & Technology Review, 2015, 33(10): 79-86.

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http://www.kjdb.org/EN/10.3981/j.issn.1000-7857.2015.10.007 OR http://www.kjdb.org/EN/Y2015/V33/I10/79

[1] National Science and Technology. Materials genome initiative for global competitiveness[R]. Washington DC: Office of Science and Technology Policy, 2011.
[2] Office of Science and Technology. Fact Sheet: The materials genome initiative-Three years of progress[R]. Washington DC: Office of Science and Technology Policy, 2014.
[3] Gibbs J W. A method of geometrical representation of the thermodynamic properties of substances by means of surfaces[J]. Transactions of the Connecticut Academy, 1873, 2: 382-404.
[4] Service R F. Materials scientists look to a data-intensive future[J]. Science, 2012, 335(6075): 1434-1435.
[5] Zewail A H. Four-dimensional electron microscopy[J]. Science, 2010, 328 (5975): 187-193.
[6] Committee on Integrated Computational Materials Engineering NRC. Integrated computational materials engineering[M]. National Academies Press, 2008.
[7] Reed R C. The superalloys: Fundamentals and applications[M]. Cambridge University Press, 2006.
[8] Sims C T, Stoloff N S, Hagel W C. Superalloys II[M]. Wiley-Interscience, 1987.
[9] Reed R C, Tao T, Warnken N. Alloys-by-design: Application to Nickelbased single crystal superalloys[J]. Acta Materialia, 2009, 57(19): 5898- 5913.
[10] Cowles B, Backman D, Dutton R. Verification and validation of ICME methods and models for aerospace applications[J]. Integrating Materials and Manufacturing Innovation, 2012, 1(1): 2.
[11] American Society of Mechanical Engineers. V V 10. Guide for verification and validation in computational solid mechanics[S]. New York: American Society of Mechanical Engineers, 2006.
[12] Committee on Benchmarking the Technology and Application of Lightweighting NRC. Application of lightweighting technology to military vehicles, vessels, and aircraft[M]. Washington DC: National Academies Press, 2012.
[13] Zhao J C. Combinatorial approaches as effective tools in the study of phase diagrams and composition- structure- property relationships[J]. Progress in Materials Science, 2006, 51(5): 557-631.
[14] Zhao J C, Zheng X, Cahill D G. High-through put diffusion multiples[J]. Materials Today, 2005, 8(10): 28-37.
[15] Zhao J C. The Diffusion-multiple approach to design alloys[J]. Annual Review of Materials Research, 2005, 35(1): 51-73.
[16] Zhao J C. Reliability of the diffusion- multiple approach for phase diagram mapping[J]. Journal of Materials Science, 2004, 39(12): 3913- 3925.
[17] Zhao J C, Jackson M R, Peluso L A, et al. A diffusion multiple approach for the accelerated design of structural materials[J]. Materials Research Society Bulletin, 2002, 27(4): 324-329.
[18] Zhao J C, Jackson M R, Peluso L A, et al. A diffusion-multiple approach for mapping phase diagrams, hardness, and elastic modulus[J]. Journal of the Minerals Metals and Materials Society, 2002, 54(7): 42-45.
[19] Zhao J C. A combinatorial approach for structural materials[J]. Advanced Engineering Materials, 2001, 3(3): 143-147.
[20] Zhu L L, Jiang L, Zhao J C, et al. Experimental determination of the Ni- Cr-Ru phase diagram and thermodynamic reassessments of the Cr-Ru and Ni-Cr-Ru systems[J]. Intermetallics, in Press.
[21] Zhang Q, Zhao J C. Impurity and interdiffusion coefficients of the Cr-X (X=Co, Fe, Mo, Nb, Ni, Pd, Pt, Ta) binary systems[J]. Journal of Alloys and Compounds, 2014, 604: 142-150.
[22] Zhao J C, Zheng X, Cahill D. High-throughput measurements of materials properties[J]. Journal of the Minerals Metals and Materials Society, 2011, 63(3): 40-44.
[23] Zhang Q, Zhao J C. Extracting interdiffusion coefficients from binary diffusion couples using traditional methods and a forward- simulation method[J]. Intermetallics, 2013, 34: 132-141.
[24] Kainuma R, Ise M, Jia C C, et al. Phase equilibria and microstructural control in the Ni- Co- Al system[J]. Intermetallics, 1996, 4(Suppl 1): 151-158.
[25] Schramm J. Nickel-Cobalt-Aluminium ternary system[J]. Z Metalllkd, 1941, 33: 403-412.
[26] Wu E, Sun G, Chen B, et al. A neutron diffraction study of lattice distortion, mismatch and misorientation in a single- crystal superalloy after different heat treatments[J]. Acta Materialia, 2013, 61(7): 2308- 2319.
[27] Husseini N S, Kumah D P, Yi J Z, et al. Mapping single crystal dendritic microstructure and defects in Nickel-base superalloys with synchrotron radiation[J]. Acta Materialia, 2008, 56(17): 4715-4723.
[28] Ghosh S, Dimiduk D. Computational methods for microstructure-property relationships[M]. Springer, 2010.
[29] Groeber M A, Haley B K, Uchic M D, et al. 3D reconstruction and characterization of polycrystalline microstructures using a FIB- SEM system[J]. Materials Characterization, 2006, 57(4-5): 259-273.
[30] Uchic M D, Groeber M A, Dimiduk D M, et al. 3D microstructural characterization of Nickel superalloys via serial-sectioning using a dual beam FIB-SEM[J]. Scripta Materialia, 2006, 55(1): 23-28.
[31] Bhandari Y, Sarkar S, Groeber M, et al. 3D polycrystalline microstructure reconstruction from FIB generated serial sections for FE analysis[J]. Computational Materials Science, 2007, 41(2): 222-235.
[32] Ghosh S, Bhandari Y, Groeber M. CAD-based reconstruction of 3D polycrystalline alloy microstructures from FIB generated serial sections[J]. Computer-Aided Design, 2008, 40(3): 293-310.
[33] Groeber M, Ghosh S, Uchic M D, et al. A framework for automated analysis and simulation of 3D polycrystalline microstructures: Part 1: Statistical characterization[J]. Acta Materialia, 2008, 56(6): 1257-1273.
[34] Tschopp M A, Groeber M A, Fahringer R, et al. Automated detection and characterization of microstructural features: Application to eutectic particles in single crystal Ni- based superalloys[J]. Modelling and Simulation in Materials Science and Engineering, 2010, 18(2): 025014.
[35] TschoppMA,GroeberMA,FahringerR,etal.Symmetry-basedautomated extraction of microstructural features: Application to dendritic cores in single-crystal Ni-based superalloys [J]. Scripta Materialia, 2010, 62(6): 357-360.
[36] Tschopp M A, Groeber M A, Simmons J P, et al. Automated extraction of symmetric microstructure features in serial sectioning images[J]. Materials Characterizaton, 2010, 61(12): 1406-1417.
[37] UchicM,GroeberM,ShahM,etal.ANovelmulti-modal3Dcharacterization system to quantify grain-level microstructural features in macro-scale volumes[J]. Microscopy and Microanalysis, 2011, 17(Suppl2): 988-989.
[38] Groeber M, Jackson M. DREAM.3D: A digital representation environment for the analysis of microstructure in 3D[J]. Integrating Materials and Manufacturing Innovation, 2014, 3(1): 5-21.
[39] Uchic M D, Dimiduk D M, Florando J N, et al. Sample dimensions influence strength and crystal plasticity[J]. Science, 2004, 305(5686): 986-989.
[40] Uchic M D, Dimiduk D M. A methodology to investigate size scale effects in crystalline plasticity using uniaxial compression testing[J]. Materials Science and Engineering: A, 2005, 400-401: 268-278.
[41] Schafrik R. Materials in jet engines: Past, present, and future[EB/OL].[2015-04-02]. http://materialseducation.org/educators/mstem/2006/docs /Schafrik%20History%20of%20Mtls%20in%20Jet%20Engines%201% 20%20.pdf.