A combined optimization of alloy composition and aging temperature in designing new UHS precipitation hardenable stainless steels

School of Engineering

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https://doi.org/10.1016/j.commatsci.2008.11.006
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Keywords

Alloy design, Composition effect, Genetic algorithm, Precipitate, Stainless steel, Temperature effect, Thermodynamics

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Research output: Contribution to Journal/Magazine › Journal article › peer-review

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A combined optimization of alloy composition and aging temperature in designing new UHS precipitation hardenable stainless steels. / Xu, W.; Castillo, P. E J Rivera Díaz del; Zwaag, S. van der.
In: Computational Materials Science, Vol. 45, No. 2, 04.2009, p. 467-473.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Bibtex

@article{7d29e634e2c546c1abc13ff870f2011d,

title = "A combined optimization of alloy composition and aging temperature in designing new UHS precipitation hardenable stainless steels",

abstract = "Alloy composition and proper heat treatment conditions are of paramount importance in maximising mechanical properties of precipitation hardenable stainless steels. Three base stainless steel alloys for ultimate strength levels employing carbides, Cu particles and/or Ni-rich precipitates are designed via a computational approach coupling a genetic algorithm with optimization criteria based on thermodynamic, kinetic and mechanical principles. The combined effects of 11 alloying elements (Al, C, Co, Cr, Cu, Mo, Nb, Ni, Si, Ti and V) are investigated on the basis of: a suitable martensite start (Ms) temperature, the suppression of undesirable phases, a minimal Cr concentration in the matrix and the potency of the precipitation strengthening contribution. The optimal aging temperature is derived from precipitation strengthening optimization and predicted values match experimental optima for existing alloy grades rather well. This thermodynamic justification of optimal precipitation temperatures in UHS steels has not been given before. For the optimized alloys considered the results of a sequential optimization of composition and precipitation temperature do not differ significantly from those of an integrated optimization.",

keywords = "Alloy design, Composition effect, Genetic algorithm, Precipitate, Stainless steel, Temperature effect, Thermodynamics",

author = "W. Xu and Castillo, {P. E J Rivera D{\'i}az del} and Zwaag, {S. van der}",

year = "2009",

month = apr,

doi = "10.1016/j.commatsci.2008.11.006",

language = "English",

volume = "45",

pages = "467--473",

journal = "Computational Materials Science",

issn = "0927-0256",

publisher = "Elsevier",

number = "2",

}

RIS

TY - JOUR

T1 - A combined optimization of alloy composition and aging temperature in designing new UHS precipitation hardenable stainless steels

AU - Xu, W.

AU - Castillo, P. E J Rivera Díaz del

AU - Zwaag, S. van der

PY - 2009/4

Y1 - 2009/4

N2 - Alloy composition and proper heat treatment conditions are of paramount importance in maximising mechanical properties of precipitation hardenable stainless steels. Three base stainless steel alloys for ultimate strength levels employing carbides, Cu particles and/or Ni-rich precipitates are designed via a computational approach coupling a genetic algorithm with optimization criteria based on thermodynamic, kinetic and mechanical principles. The combined effects of 11 alloying elements (Al, C, Co, Cr, Cu, Mo, Nb, Ni, Si, Ti and V) are investigated on the basis of: a suitable martensite start (Ms) temperature, the suppression of undesirable phases, a minimal Cr concentration in the matrix and the potency of the precipitation strengthening contribution. The optimal aging temperature is derived from precipitation strengthening optimization and predicted values match experimental optima for existing alloy grades rather well. This thermodynamic justification of optimal precipitation temperatures in UHS steels has not been given before. For the optimized alloys considered the results of a sequential optimization of composition and precipitation temperature do not differ significantly from those of an integrated optimization.

AB - Alloy composition and proper heat treatment conditions are of paramount importance in maximising mechanical properties of precipitation hardenable stainless steels. Three base stainless steel alloys for ultimate strength levels employing carbides, Cu particles and/or Ni-rich precipitates are designed via a computational approach coupling a genetic algorithm with optimization criteria based on thermodynamic, kinetic and mechanical principles. The combined effects of 11 alloying elements (Al, C, Co, Cr, Cu, Mo, Nb, Ni, Si, Ti and V) are investigated on the basis of: a suitable martensite start (Ms) temperature, the suppression of undesirable phases, a minimal Cr concentration in the matrix and the potency of the precipitation strengthening contribution. The optimal aging temperature is derived from precipitation strengthening optimization and predicted values match experimental optima for existing alloy grades rather well. This thermodynamic justification of optimal precipitation temperatures in UHS steels has not been given before. For the optimized alloys considered the results of a sequential optimization of composition and precipitation temperature do not differ significantly from those of an integrated optimization.

KW - Alloy design

KW - Composition effect

KW - Genetic algorithm

KW - Precipitate

KW - Stainless steel

KW - Temperature effect

KW - Thermodynamics

U2 - 10.1016/j.commatsci.2008.11.006

DO - 10.1016/j.commatsci.2008.11.006

M3 - Journal article

AN - SCOPUS:62149121684

VL - 45

SP - 467

EP - 473

JO - Computational Materials Science

JF - Computational Materials Science

SN - 0927-0256

IS - 2

ER -

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