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  2. 18 Apr 2017: Proceedings of the 21st Riso International Symposium on Materials Science, eds N. Hansen, X.Huang, D. Juul Jensen, E. M. Lauridsen, T. Leffers, W. Pantleon, T. J. Sabin and J. A. Wert,published by Riso National Laboratory, Denmark, 2000, pp.15-28.
  3. 1 Application of Bayesian Neural Network for modeling and ...

    www.phase-trans.msm.cam.ac.uk/2001/Ferrite_number.pdf
    18 Apr 2017: 1. Application of Bayesian Neural Network for modeling and prediction offerrite number in austenitic stainless steel welds. M. Vasudevan, M. Murugananth, and A.K. BhaduriMaterials Joining Section. Metallury and Materials GroupIndira Gandhi Centre
  4. The Impact Toughness of C–Mn Steel Arc–Welds – A ...

    www.phase-trans.msm.cam.ac.uk/abstracts/toughness.pdf
    17 Apr 2017: The Impact Toughness of C–Mn Steel Arc–Welds. – A Bayesian Neural Network Analysis. H. K. D. H. Bhadeshia, D. J. C. MacKay and L.–E. Svensson†. Mathematics and Physical Sciences GroupDarwin College, Silver Street, Cambridge CB3 9EU, U. K.
  5. Publ mst1501 Issue 4155 Page 22

    www.phase-trans.msm.cam.ac.uk/2001/bhadeshia.steels.mst.pdf
    18 Apr 2017: Introduction. About 70% of all the steel compositions that are currentlyused have been developed within the last 10 years. Noveliron alloys are being conceived, manufactured, and mar-keted with a regularity which has confounded manyprophecies. Phase
  6. DESIGNOF FERRITIC CREEP–RESISTANT STEELS H. K. D. H.…

    www.phase-trans.msm.cam.ac.uk/abstracts/creep.ultrasteel.pdf
    17 Apr 2017: DESIGNOF FERRITIC CREEP–RESISTANT STEELS. H. K. D. H. BhadeshiaUniversityof Cambridge,U.K! ". " #. $ % & & ' (. ) , - ) $. /. 0 " 0. ( 1. 2! 2 2 3. 4 4 4 5 6 7 4 8 6 4 5. 2 9 :. ; 4 & : 8 4 <. 4 = >? 6 @. 4 A. B C D D E D D D F. 4 G 2. 4 4 G 2 H
  7. Publ mst1503 Issue 4132 Page 287

    www.phase-trans.msm.cam.ac.uk/2001/gaussian.bailer.mst.pdf
    18 Apr 2017: Introduction. The formation of austenite is an important component inthe heat treatment of steels. The temperature at whichaustenite begins to form during the continuous heating ofsteel is termed the Ac1 temperature, and that at which thesteel
  8. PII: S0921-5093(01)00913-3

    www.phase-trans.msm.cam.ac.uk/2001/adi.neural.Yescas.pdf
    18 Apr 2017: Materials Science and Engineering A311 (2001) 162 – 173. Estimation of the amount of retained austenite in austemperedductile irons using neural networks. M.A. Yescas a, H.K.D.H. Bhadeshia a,, D.J. MacKay b. a Department of Materials Science and
  9. ~~metalu~a Disena de nuevas aceras bainfticas(o) F. G. Caballero., ...

    www.phase-trans.msm.cam.ac.uk/2000/bainite.spanish.pdf
    18 Apr 2017: metalua. Disena de nuevas aceras bainfticas(o). F. G. Caballero., H.K.D.H. Bhadeshia., K.,P. Brown. A. Mawella, D.O. Jones. y. Resumen En los ultimos alios se han disefiado aceros con microestructuras formadas par placas deferrita bainitica superior
  10. Recrystallisation of Practical Mechanically Alloyed Iron–Base and and …

    www.phase-trans.msm.cam.ac.uk/abstracts/ODSreview.pdf
    17 Apr 2017: Recrystallisation of Practical Mechanically Alloyed. Iron–Base and and Nickel–Base Superalloys. Materials Science and Engineering A223 (1997) 64-77. H. K. D. H. BhadeshiaUniversity of Cambridge/JRDC. Department of Materials Science and

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