190
Views
8
CrossRef citations to date
0
Altmetric
Original Articles

Heat Treatment and Composition Optimization of Nanoprecipitation Hardened Alloys

&
Pages 375-381 | Received 09 Dec 2010, Accepted 20 Feb 2011, Published online: 08 Apr 2011

REFERENCES

  • Edmonds , D.V. ; Cochrane , R.C. Structure-property relationships in bainitic steels . Metallurgical Transactions A 1990 , 21 , 1527 – 1540 .
  • Hao , S. ; Liu W.K. ; Moran , B. ; Vernerey , F. ; Olson , G.B. Multi-scale constitutive model and computational framework for the design of ultra-high strength, high toughness steels . Computer Methods in Applied Mechanics and Engineering 2004 , 193 , 1865 – 1908 .
  • Olson , G.B. Computational design of hierarchically structured Materials . Science 1997 , 277 , 1237 – 1242 .
  • Lo , K.H. ; Shek , C.H. ; Lai , J.K.L. Recent developments in stainless steels . Materials Science and Engineering R: Reports 2009 , 65 , 39 – 104 .
  • Eliaz , N. ; Shachar , A. ; Tal , B ; Eliezer , D. Characteristics of hydrogen embrittlement, stress corrosion cracking and tempered martensite embrittlement in high-strength steels . Engineering Failure Analysis 2002 , 9 , 167 – 184 .
  • Nagumo , M. Function of hydrogen in embrittlement of high-strength steels . ISIJ International 2001 , 41 , 590 – 598 .
  • Morris , J.W. ; Guo , Z. ; Krenn , C.R. ; Kim , Y.H. The limits of strength and toughness in steel . ISIJ International 2001 41 ( 6 ), 599 – 611 .
  • Bhadeshia , H.K.D.H. , Neural networks in materials science . ISIJ International 1999 , 39 ( 10 ), 966 – 979 .
  • Datta , S. ; Pettersson , F. ; Ganguly , S ; Saxen , H. ; Chakraborti , N. Designing high strength multi-phase steel for improved strength-ductility balance using neural networks and multi-objective genetic algorithms . ISIJ International 2007 , 47 ( 8 ), 1195 – 1203 .
  • Guo , Z. ; Sha , W. modelling the correlation between processing parameters and properties of maraging steels using artificial neural network . Computational Materials Science 2004 29 ( 1 ), 12 – 28 .
  • Mahfouf , M. ; Jamei , M. ; Linkens , D.A. Optimal design of alloy steels using multiobjective genetic algorithms . Materials and Manufacturing Processes 2005 , 20 ( 3 ), 553 – 567 .
  • Petterson , F. ; Chakraborti , N. ; Singh , S.B. Neural networks analysis of steel plate processing augmented by multi-objective genetic algorithms . Steel Research International 2007 , 78 ( 12 ), 890 – 898 .
  • Paszkowicz , W. Genetic algorithms, a nature inspired tool: survey of applications in materials science and related fields . Materials and Manufacturing Processes 2009 , 24 , 174 – 197 .
  • Coello-Coello , C.A. ; Landa-Becerra , R. Evolutionary multiobjective optimisation in materials science and engineering . Materials and Manufacturing Processes 2009 , 24 , 119 – 129 .
  • Kumar , A. ; Sahoo , D. ; Chakraborty , S. ; Chakraborti , N. Gas injection in steel-making vessels: coupling a fluid dynamics analysis with a genetic algorithms-based pareto-optimality . Materials and Manufacturing Processes 2005 , 20 , 363 – 379 .
  • Saxen , H. ; Pettersson , F. ; Gunturu , K. ; Evolving nonlinear time-series models of the hot metal silicon content in the blast furnace . Matreials and Manufacturing Processes 2007 , 22 ( 5 ), 577 – 584 .
  • Miettinen , K. Using interactive multiobjective optimization in continous casting of steel . Materials and Manufacturing Processes 2007 , 22 ( 5 ), 585 – 593 .
  • Filipic , B. ; Tusar , T. ; Laitinien , E. Preliminary numerical experiments in multiobjective optimisation of a metallurgical production process . 2007 , 31 , 233 – 240 .
  • Nandan , R. ; Rai , R. ; Jayakanth , R. ; Moitra , S. ; Chakraborti , N. ; Mukhopadhyay , A. Regulating crown and flatness during hot rolling: A multiobjective optimization study using genetic algorithms . Materials and Manufacturing Processes 2005 , 20 ( 3 ), 459 – 478 .
  • Egorov-Yegorov , I.N. ; Dulikravich , G.S. Chemical composition design of superalloys for maximum stress, temperature, and time-to-tupture using self-adaptive surface optimization. Materials and Manufacturing Processes 2005, 20 (3), 569–590.
  • Chakraborti , N. ; Deb , K. ; Jha , A. Genetic algorithm based heat transfer analysis of a bloom re-heating furnace . Steel Research 2000 , 71 ( 10 ), 396 – 402 .
  • Broughton , J.S. ; Mahfouf , M. ; Linkens , D.A. A paradigm for the scheduling of a continuous walking beam reheat furnace using a modified genetic algorithm . Materials and Manufacturing Processes 2007 , 22 ( 5 ), 607 – 614 .
  • Sahay , S.S. ; Mehta , R. ; Krishnan , K. Genetic-algorithm-based optimization of an industrial age-hardening operation for packed bundles of aluminum rods . Materials and Manufacturing Processes 2007 , 22 ( 5 ), 615 – 622 .
  • Mahfouf , M. ; Gama , M.A. ; Panoutsos , G. “Right-first-time” production: A reality or a myth? 2009 , 24 , 78 – 82 .
  • Zhang , Q. ; Mahfouf , M. A nature-inspired multi-objective optimisation strategy based on a new reduced space searching algorithm for the design of alloy steels . Engineering Applications of Artificial Intelligence 2010 , 23 , 660 – 675 .
  • Xu , W. ; Rivera-Díaz-del-Castillo , P.E.J. ; Van der Zwaag , S. Genetic alloy design based on thermodynamics and kinetics . Philosophical Magazine 2008 , 88 ( 12 ), 1825 – 1833 .
  • Xu , W. ; Rivera-Díaz-del-Castillo , P.E.J. ; Van der Zwaag , S. Designing nanoprecipitation strengthened uhs stainless steels combining genetic algorithms and thermodynamics . Computational Materials Science 2008 , 44 ( 2 ), 678 – 689 .
  • Xu , W. ; Rivera-Diaz-del-Castillo , P.E.J. ; van der Zwaag , S. A combined optimization of alloy composition and aging temperature in designing new uhs precipitation hardenable stainless steels . Computational Materials Science 2009 , 45 ( 2 ), 467 – 473 .
  • Xu , W. ; Rivera-Díaz-del-Castillo , P.E.J. ; Van der Zwaag , S. Computational design of UHS maraging stainless steels incorporating composition as well as austenitisation and ageing temperatures as optimisation parameters . Philosophical Magazine 2009 , 89 ( 20 ), 1647 – 1662 .
  • Ishida , K. Calculation of the effect of alloying elements on the Ms temperature in steels . Journal of Alloys and Compounds 1995 , 220 ( 1–2 ), 126 – 131 .
  • Goldberg , D.E. Genetic Algorithms in Search, Optimization and Machine Learning ; Addison-Wesley : MA , 1989 .
  • Krishnakumar , K. Micro-genetic algorithms for stationary and non-stationary function optimization . Intelligent Control and Adaptive Systems 1989 , SPIE 1196.
  • Syswerda , G. Uniform crossover in genetic algorithms . In The 3rd International Conference on Genetic Algorithms , Morgan Kaufmann Publishers : CA , 1989 .
  • Rudolph , G. On a multi-objective evolutionary algorithm and its convergence to the pareto set . In: Proceedings of the 5th IEEE Conference on Evolutionary Computation ; IEEE Press : Piscataway , NJ , 1998 ; 511 – 516 .
  • Xu , W. , Genetic Design of Ultra High Strength Stainless Steels: Modelling and Experiments ; Delft University of Technology, the Netherlands : Delft , 2009 .
  • De Jong , M. Ab Initio-Thermodynamic Modelling of Precipitation Processes in the Aluminium 7XXX Family ; Delft University of Technology, Master Thesis .
  • Xu , W. ; Rivera-Díaz-del-Castillo , P.E.J. ; Yan , W. ; Yang , K. ; San Martín , D. ; Kestens , L.A.I. ; Van der Zwaag , S.A. New ultra high strength stainless steel strengthened by various coexisting nanoprecipitates . Acta Materialia 2010 , 58 , 4067 – 4075 .
  • Xu , W. ; Rivera-Díaz-del-Castillo , P.E.J. ; Wang , W. ; Yang , K. ; Bliznuk , V. ; Kestens , L.A.I. ; Van der Zwaag , S. Genetic design and characterization of novel ultra high strength stainless steel strengthened by Ni3Ti intermetallic nanoprecipitates . Acta Materialia 2010 , 58 , 3582 – 3593 .

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.