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Thermomechanical Processing Design of Nanoprecipitate Strengthened Alloys Employing Genetic Algorithms

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Thermomechanical Processing Design of Nanoprecipitate Strengthened Alloys Employing Genetic Algorithms. / Rivera-Diaz-del-Castillo, Pedro E.J.; de Jong, Maarten; Sluiter, Marcel H.F.
Supplemental Proceedings: Materials Fabrication, Properties, Characterization, and Modeling. Vol. 2 John Wiley and Sons Inc., 2011. p. 477-484.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

Harvard

Rivera-Diaz-del-Castillo, PEJ, de Jong, M & Sluiter, MHF 2011, Thermomechanical Processing Design of Nanoprecipitate Strengthened Alloys Employing Genetic Algorithms. in Supplemental Proceedings: Materials Fabrication, Properties, Characterization, and Modeling. vol. 2, John Wiley and Sons Inc., pp. 477-484. https://doi.org/10.1002/9781118062142.ch58

APA

Rivera-Diaz-del-Castillo, P. E. J., de Jong, M., & Sluiter, M. H. F. (2011). Thermomechanical Processing Design of Nanoprecipitate Strengthened Alloys Employing Genetic Algorithms. In Supplemental Proceedings: Materials Fabrication, Properties, Characterization, and Modeling (Vol. 2, pp. 477-484). John Wiley and Sons Inc.. https://doi.org/10.1002/9781118062142.ch58

Vancouver

Rivera-Diaz-del-Castillo PEJ, de Jong M, Sluiter MHF. Thermomechanical Processing Design of Nanoprecipitate Strengthened Alloys Employing Genetic Algorithms. In Supplemental Proceedings: Materials Fabrication, Properties, Characterization, and Modeling. Vol. 2. John Wiley and Sons Inc. 2011. p. 477-484 doi: 10.1002/9781118062142.ch58

Author

Rivera-Diaz-del-Castillo, Pedro E.J. ; de Jong, Maarten ; Sluiter, Marcel H.F. / Thermomechanical Processing Design of Nanoprecipitate Strengthened Alloys Employing Genetic Algorithms. Supplemental Proceedings: Materials Fabrication, Properties, Characterization, and Modeling. Vol. 2 John Wiley and Sons Inc., 2011. pp. 477-484

Bibtex

@inbook{0f28862537014541a3a2c199c1f8ac87,
title = "Thermomechanical Processing Design of Nanoprecipitate Strengthened Alloys Employing Genetic Algorithms",
abstract = "A modelling strategy for designing nanoprecipitation strengthened alloys is presented here. This work summarises the application of a new thermokinetics approach wherein multiple design criteria are enforced: corrosion resistance and high strength combined with affordable thermomechanical processing schedules. The methodology presented here iteratively performs thermodynamic and kinetic calculations, these are aimed at determining the best precipitate nanostructures following multiple design objectives. A genetic algorithm is employed to more rapidly finding optimal alloy compositions and processing parameters consistent with the design objectives. It was possible to computationally design new alloys strengthened by Ni-based nanoprecipitates and carbides with yield strengths exceeding 1.6 GPa and good corrosion resistance. A major limitation in the methodology is the determination of optimum processing times, which require the computation of formation energies of non-equilibrium precipitates employing other techniques. A method to circumvent such limitation is introduced.",
keywords = "ab initia, Alloy design, Genetic modelling, Optimisation, Thermodynamics",
author = "Rivera-Diaz-del-Castillo, {Pedro E.J.} and {de Jong}, Maarten and Sluiter, {Marcel H.F.}",
year = "2011",
month = apr,
day = "20",
doi = "10.1002/9781118062142.ch58",
language = "English",
isbn = "9781118029466",
volume = "2",
pages = "477--484",
booktitle = "Supplemental Proceedings",
publisher = "John Wiley and Sons Inc.",
address = "United States",

}

RIS

TY - CHAP

T1 - Thermomechanical Processing Design of Nanoprecipitate Strengthened Alloys Employing Genetic Algorithms

AU - Rivera-Diaz-del-Castillo, Pedro E.J.

AU - de Jong, Maarten

AU - Sluiter, Marcel H.F.

PY - 2011/4/20

Y1 - 2011/4/20

N2 - A modelling strategy for designing nanoprecipitation strengthened alloys is presented here. This work summarises the application of a new thermokinetics approach wherein multiple design criteria are enforced: corrosion resistance and high strength combined with affordable thermomechanical processing schedules. The methodology presented here iteratively performs thermodynamic and kinetic calculations, these are aimed at determining the best precipitate nanostructures following multiple design objectives. A genetic algorithm is employed to more rapidly finding optimal alloy compositions and processing parameters consistent with the design objectives. It was possible to computationally design new alloys strengthened by Ni-based nanoprecipitates and carbides with yield strengths exceeding 1.6 GPa and good corrosion resistance. A major limitation in the methodology is the determination of optimum processing times, which require the computation of formation energies of non-equilibrium precipitates employing other techniques. A method to circumvent such limitation is introduced.

AB - A modelling strategy for designing nanoprecipitation strengthened alloys is presented here. This work summarises the application of a new thermokinetics approach wherein multiple design criteria are enforced: corrosion resistance and high strength combined with affordable thermomechanical processing schedules. The methodology presented here iteratively performs thermodynamic and kinetic calculations, these are aimed at determining the best precipitate nanostructures following multiple design objectives. A genetic algorithm is employed to more rapidly finding optimal alloy compositions and processing parameters consistent with the design objectives. It was possible to computationally design new alloys strengthened by Ni-based nanoprecipitates and carbides with yield strengths exceeding 1.6 GPa and good corrosion resistance. A major limitation in the methodology is the determination of optimum processing times, which require the computation of formation energies of non-equilibrium precipitates employing other techniques. A method to circumvent such limitation is introduced.

KW - ab initia

KW - Alloy design

KW - Genetic modelling

KW - Optimisation

KW - Thermodynamics

U2 - 10.1002/9781118062142.ch58

DO - 10.1002/9781118062142.ch58

M3 - Chapter

AN - SCOPUS:84950989357

SN - 9781118029466

VL - 2

SP - 477

EP - 484

BT - Supplemental Proceedings

PB - John Wiley and Sons Inc.

ER -