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13 - Summary and Future Development of Materials Design

Published online by Cambridge University Press:  29 June 2023

Yong Du
Affiliation:
Central South University, China
Rainer Schmid-Fetzer
Affiliation:
Clausthal University of Technology, Germany
Jincheng Wang
Affiliation:
Northwestern Polytechnical University, China
Shuhong Liu
Affiliation:
Central South University, China
Jianchuan Wang
Affiliation:
Central South University, China
Zhanpeng Jin
Affiliation:
Central South University, China
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Summary

Chapter 13 starts with brief summary of Chapters 1–12. Subsequently, to show that the strategy described in this book is valid for design of other materials, computational designs for other four materials (Mo2BC thin film, Cu3Sn interconnect material, slag/metal/gas LD-converter steel process, and slag recycling) were highlighted. In view of the need for establishing more quantitative relationships among four cornerstones (composition/processing-structure–properties–performance) in materials science and engineering as well as advancing product design methods, several future orientations and challenges for computational design of engineering materials are suggested. These are (1) advancement of models and approaches for more quantitative simulation in materials design, such as interfacial thermodynamics, thermodynamics under external fields, and a more quantitative phase-field model; (2) the need for scientific databases and materials informatics; (3) enhanced simulation software packages; and (4) concurrent design of materials and products (CDMP). Finally, the correlations among ICME, MGI, and CDMP are discussed.

Type
Chapter
Information
Computational Design of Engineering Materials
Fundamentals and Case Studies
, pp. 433 - 456
Publisher: Cambridge University Press
Print publication year: 2023

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References

Becker, R. (1938) Die Keimbildung bei der Ausscheidung in metallischen Mischkristallen. Annals of Physics (Oxford), 424(1–2), 128140.CrossRefGoogle Scholar
Burnett, T. L., Kelley, R., Winiarski, B., et al. (2016) Large volume serial section tomography by Xe Plasma FIB dual beam microscopy. Ultramicroscopy, 161, 119129.CrossRefGoogle ScholarPubMed
Cantwell, P. R., Tang, M., Dillon, S. J., Luo, J., Rohrer, G. S., and Harmer, M. P. (2014) Grain boundary complexions. Acta Materialia, 62, 148.CrossRefGoogle Scholar
Cao, S. S., Pourbabak, S., and Schryvers, D. (2012) Quantitative 3-D morphologic and distributional study of Ni4Ti3 precipitates in a Ni51Ti49 single crystal alloy. Scripta Materialia, 66(9), 650653.CrossRefGoogle Scholar
Cao, W., Chen, S., Zhang, F., et al. (2009) PANDAT software with PanEngine, PanOptimizer and PanPrecipitation for multi-component phase diagram calculation and materials property simulation. CALPHAD, 33(2), 328342.CrossRefGoogle Scholar
Chen, H., Lu, J., Kong, Y., et al. (2020) Atomic scale investigation of the crystal structure and interfaces of the B′ precipitate in Al–Mg–Si alloys. Acta Materialia, 185, 193203.CrossRefGoogle Scholar
Chuang, Y., Chang, Y. A., Schmid, R., and Lin, J. (1986) Magnetic contributions to the thermodynamic functions of alloys and the phase equilibria of Fe–Ni system below 1200 K. Metallurgical and Materials Transactions A, 17(8), 13611372.CrossRefGoogle Scholar
Cullity, B. D., and Graham, C. D. (2009) Introduction to Magnetic Materials, second edition. Indianapolis: John Wiley & Sons.Google Scholar
Du, C., Zheng, Z., Min, Q., et al. (2020) A novel approach to calculate diffusion matrix in ternary systems: application to Ag–Mg–Mn and Cu–Ni–Sn systems. CALPHAD, 68, 101708.CrossRefGoogle Scholar
Durinck, D., Jones, P. T., Blanpain, B., Wollants, P., Mertens, G., and Elsen, J. (2007) Slag solidification modeling using the Scheil–Gulliver assumptions. Journal of the American Ceramics Society, 90(4), 11771185.CrossRefGoogle Scholar
Emmerlich, J., Music, D., Braun, M., Fayek, P., Munnik, F., and Schneider, J. (2009) A proposal for an unusually stiff and moderately ductile hard coating material: Mo2BC. Journal of Physics D: Applied Physics, 42(18), 185406.CrossRefGoogle Scholar
Gao, M. C., Bennett, T. A., Rollett, A. D., and Laughlin, D. E. (2006) The effects of applied magnetic fields on the phase boundary in the Fe–Si system. Journal of Physics D: Applied Physics, 39(14), 28902896.CrossRefGoogle Scholar
ICME (Committee on Integrated Computational Materials Engineering and National Materials Advisory Board) (2008) Integrated Computational Materials Engineering: A Transformational Discipline for Improved Competitiveness and National Security. Washington: National Academies Press, USA.Google Scholar
Kaptay, G. (2012) Nano-CALPHAD: extension of the CALPHAD method to systems with nano-phases and complexions. Journal of Materials Science, 47(24), 83208335.CrossRefGoogle Scholar
Láng, G. G. (2015) Basic interfacial thermodynamics and related mathematical background. ChemTexts, 1(4), 117.CrossRefGoogle Scholar
Li, B., Du, Y., Qiu, L., et al. (2018) Shallow talk about integrated computational materials engineering and Materials Genome Initiative: ideas and practice. Materials China, 37(7), 506525.Google Scholar
Li, K., Idrissi, H., Sha, G., et al. (2016) Quantitative measurement for the microstructural parameters of nano-precipitates in Al–Mg–Si–Cu alloys. Materials Characterization, 118, 352362.CrossRefGoogle Scholar
Liu, P. W., Wang, Z., Xiao, Y. H., et al. (2020) Integration of phase-field model and crystal plasticity for the prediction of process-structure-property relation of additively manufactured metallic materials. International Journal of Plasticity, 128, 102670.CrossRefGoogle Scholar
Liu, Y. L., Zhang, C., Du, C. F., et al. (2020) CALTPP: a general program to calculate thermophysical properties. Journal of Materials Science and Technology, 42, 229240.Google Scholar
Lukas, H. L., Fries, S. G., and Sundman, B. (2007) Computational Thermodynamics: The CALPHAD Method. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Malladi, S. K., Xu, Q., van Huis, M. A., et al. (2014) Real-time tomic scale imaging of nanostructural evolution in aluminum alloys. Nano Letters, 14(1), 384389.CrossRefGoogle Scholar
McDowell, D. L., Panchal, J. H., Choi, H.-J., Seepersad, C. C., Allen, J. K., and Mistree, F. (2010) Integrated Design of Multiscale, Multifunctional Materials and Products. Woburn: Butterworth-Heinemann.Google Scholar
MGI (2011) Materials Genome Initiative for Global Competitiveness. Washington: NSTC, National Science and Technology Council, Executive Office of the President, USA.Google Scholar
Mirković, D., Gröbner, J., and Schmid-Fetzer, R. (2008) Liquid demixing and microstructure formation in ternary Al–Sn–Cu alloys. Materials Science and Engineering A 487(1), 456467.CrossRefGoogle Scholar
Mitsui, Y., Oikawa, K., Koyama, K., and Watanabe, K. (2013) Thermodynamic assessment for the Bi–Mn binary phase diagram in high magnetic fields. Journal of Alloys and Compounds, 577(30), 315319.CrossRefGoogle Scholar
Modigell, M., Güthenke, A., Monheim, P., and Hack, K. (2008) IV.8 – Non-equilibrium modelling for the LD converter, in Hack, K. (ed), The SGTE Casebook, second edition. Sawston: Woodhead Publishing, 425436.CrossRefGoogle Scholar
Moorhouse, D. J. (2002) Detailed definitions and guidance for application of technology readiness levels. Journal of Aircraft, 39(1), 190192.CrossRefGoogle Scholar
Nishizawa, T., Ohnuma, I., and Ishida, K. (2001) Correlation between interfacial energy and phase diagram in ceramic-metal systems. Journal of Phase Equilibria, 22(3), 269275.CrossRefGoogle Scholar
Olson, G. B. (1997) Computational design of hierarchically structured materials. Science, 277(5330), 12371242.CrossRefGoogle Scholar
Park, J. C., and Lee, J. H. (2008) Phase diagram reassessment of Ag–Au system including size effect. CALPHAD, 32(1), 135141.CrossRefGoogle Scholar
Pettifor, D. G. (1992) Theoretical predictions of structure and related properties of intermetallics. Materials Science and Technology, 8(4), 345349.CrossRefGoogle Scholar
Plapp, M. (2011) Remarks on some open problems in phase-field modelling of solidification. Philosophical Magazine, 91(1), 2544.CrossRefGoogle Scholar
Raabe, D., Herbig, M., Sandlöbes, S., et al. (2014) Grain boundary segregation engineering in metallic alloys: a pathway to the design of interfaces. Current Opinion in Solid State and Materials Science, 18(4), 253261.CrossRefGoogle Scholar
Rajan, K. (2008) Learning from systems biology: an “omics” approach to materials design. JOM, 60(3), 5355.CrossRefGoogle Scholar
Schmid-Fetzer, R., Andersson, D., Chevalier, P.-Y., et al. (2007) Assessment techniques, database design and software facilities for thermodynamics and diffusion. CALPHAD, 31(1), 3852.CrossRefGoogle Scholar
Schmitz, G. J., and Prahl, U. (2016) Handbook of Software Solutions for ICME. Indianapolis: John Wiley & Sons.CrossRefGoogle Scholar
Sonderegger, B., and Kozeschnik, E. (2010) Interfacial energy of diffuse phase boundaries in the generalized broken-bond approach. Metallurgical and Materials Transactions A, 41(12), 32623269.CrossRefGoogle Scholar
Song, T., Schmid-Fetzer, R., Yan, M., and Qian, M. (2021) Near room-temperature fabrication of Cu3Sn interconnect material: in-situ synchrotron X-ray diffraction characterization and thermodynamic assessments of its nucleation. Acta Materialia, 213, 116894.CrossRefGoogle Scholar
Tao, Y., Zhang, W. Q., Shang, D. C., et al. (2018) Comprehending the occupying preference of manganese substitution in crystalline cement clinker phases: a theoretical study. Cement and Concrete Research, 109, 1929.CrossRefGoogle Scholar
Vegh, A., and Kaptay, G. (2018) Modelling surface melting of macro-crystals and melting of nano-crystals for the case of perfectly wetting liquids in one-component systems using lead as an example. CALPHAD, 63, 3750.CrossRefGoogle Scholar
Wen, C., Zhang, Y., Wang, C., et al. (2019) Machine learning assisted design of high entropy alloys with desired property. Acta Materialia, 170, 109117.CrossRefGoogle Scholar
Wen, S. Y., Du, Y., Liu, Y. L., et al. (2020) Atomic mobilities and diffusivities in Fcc_A1 Ni–Cr–V system: modeling and application. CALPHAD, 70, 101808.CrossRefGoogle Scholar
Xiong, W., and Olson, G. B. (2016) Cybermaterials: materials by design and accelerated insertion of materials. NPJ Computational Materials, 2(1), 114.CrossRefGoogle Scholar
Zeng, Y. P., Mittnacht, T., Werner, W., Du, Y., Schneider, D., and Nestler, B. (2022) Gibbs energy and phase-field modeling of ferromagnetic ferrite (α)→ paramagnetic austenite (γ) transformation in Fe–C alloys under an external magnetic field. Acta Materialia, 225, 11759.CrossRefGoogle Scholar
Zhao, X. J., Li, Z. Q., Chen, H. W., Schmid-Fetzer, R., and Nie, J. F. (2020) On the equilibrium intermetallic phase in Mg–Nd–Ag alloys. Metallurgical and Materials Transactions A, 51(3), 14021415.CrossRefGoogle Scholar
Zhou, N. X., Hu, T., and Luo, J. (2016) Grain boundary complexions in multicomponent alloys: challenges and opportunities. Current Opinion in Solid State and Materials Science, 20(5), 268277.CrossRefGoogle Scholar
Zhou, N. X., and Luo, J. (2015) Developing grain boundary diagrams for multicomponent alloys. Acta Materialia, 91, 202216.CrossRefGoogle Scholar

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