Materials Algorithms Project
Data Library
Data Library MAP_DATA_ADI_RETAINED-AUSTENITE
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Provenance of code.
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Purpose of code.
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Description of subroutine's operation.
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References.
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Any additional information.
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Keywords.
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Download source code.
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Links.
Provenance of Source Code
Miguel Angel Yescas,
Phase Transformations Group,
Department of Materials Science and Metallurgy,
University of Cambridge,
Cambridge, U.K.
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Purpose
The dataset contains 1910 X-ray diffraction measurements of retained austenite in austempered ductile cast iron (ADI) for a large number of cast iron compositions and heat treatments. Some of these data were used to create the model MAP_NEURAL_ADI_RETAINED-AUSTENITE.
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Description
The file ADI-RET.tar contains :-
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ADI_RET.txt - a text version of this document.
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ADI - an ASCII text file containing the data.
The file ADI contains 12 columns as follows :-
Column 1 Carbon / wt%
Column 2 Silicon / wt%
Column 3 Manganese / wt%
Column 4 Molybdenum / wt%
Column 5 Niquel / wt%
Column 6 Copper / wt%
Column 7 Austenitising temperature / °C
Column 8 Austenitising time / min
Column 9 Austempering temperature / °C
Column 10 Austempering time / min
Column 11 Retained austenite / Volume fraction in %
Column 12 is the reference
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References
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S. E. Stenfors, J. Storesun and R. Sandstrom, 2nd International Conference on
Austempered Ductile Iron, University of Michigan} (1986) 227-236.
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K. B. Rundman, D. J. Moore, K. L. Hayrynen, W. J. Dubensky and T. N. Rouns, J. Heat Treating 5 No.2 (1988) 79-95.
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N. Varahraam, O. Yanagisawa, Cast. Met. 3 No.3 (1990) 129-139.
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M. Grech and J. M. Young, Cast. Met. 3 (1990) 98-103.
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W. S. Zhou, Q. D. Zhou and S. K. Meng, Cast. Met. 6 No.2 (1993) 69-75.
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M. N. Ahmadabadi, Cast. Met. 5 No.2 (1992) 62-72.
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J. M. Prado, A. Pujol, J. Cullell and J. Tartera, Mater. Sci. Technol. 11 (1995), 294-298.
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G. J. Cox, Br. Foundryman, June (1986) 215-219.
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T. Takahashi, T. Abe, and S. Tada, Metall. Mater. Trans. A 27A
(1996) 1589-1598.
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N. Darawish and R. Elliott, Mater. Sci. Technol. 9 (1993) 572-585.
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W. J. Dubensky, K. B. Rundman, AFS Trans. (1985) 389-394.
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J. Aranzabal, I. Gutierrez, and J. J. Urcola, Mater. Sci. Technol. 10 (1994) 728-737.
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M. M. Shea, E. F. Ryntz, AFS Trans. (1986) 683-688.
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D. J. Moore, T. N. Rouns and K. B. Rundman, AFS Trans. 94 (1986) 255-264.
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D. J. Moore, T. N. Rouns and K. B. Rundman AFS Trans. 93 (1985) 705-718.
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T. N. Rouns, K. B. Rundman and D. M. Moore AFS Trans. 92 (1984) 815-840.
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T. N. Rouns and K. B. Rundman, AFS Trans. 95 (1987) 851-874.
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E. Dorazil, T. Podrabsky, J. Svejcar, AFS Trans. 98 (1990) 765-774.
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M. Grech and J. M. Young, AFS Trans. 98 (1990) 345-353.
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G. Nadkarni, A. H. Behravesh, R. D. Warda, K. G. Davis and M. Sahoo, AFS Trans. 103 (1995) 93-101.
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S. Yazadani and R. Elliott, Mater. Sci. Technol. 15 (1999) 531-540.
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H. Bayati, R. Elliott and G. W. Lorimer, Mater. Sci. Technol. 11
(1995) 776-786.
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R. Boschen, H. Vetters, P. Mayr and P. L. Ryder, Practical Metall. (1988) 524-531.
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C. T. Chen, and T. S. Lei, Int. J. Cast Met. Res. 10 (1997) 117-123.
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H. Bayati and R. Elliott, Mater. Sci. Technol. 11 (1995) 118-129.
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N. Darawish and R. Elliott, Mater. Sci. Technol. 9 (1993) 586-602.
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M. Gagne, and P. A. Fallon, Can. Metall. Q., 25 No.1 (1986) 79-90.
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A. S. Hamid and R. Elliott, Mater. Sci. Technol. 12 (1996) 1021-1031.
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R. Kazerooni, A. Nazarboland and R. Elliott, Mater. Sci. Technol. 13 (1997),
1007-1015.
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T. Kobayashi, and H. Yamamoto, Metall. Trans. A 19A (1988)
319-327.
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C. K. Lin, and J. Y. Wei, Mater. Trans. JIM 38 No.8 (1997) 682-691.
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A. Owhadi, J. Hedjazi and P. Davami, Mater. Sci. Technol. 14 (1998) 245-250.
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S. K. Putatunda and P. K. Gadicherla, Mater. Sci. Eng. A286 (1999) 15-31.
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P. Prasad and S. K. Putatunda, Metall. Mat. Trans. A 28A
(1997) 1457-1470.
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P. Prasad and S. K. Putatunda, Metall. Mat. Trans. A 29A
(1998) 3005-3016.
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I. Schmid and A. Schuchert, Z. Metallkde 78 (1987) 871-875.
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S. M. Shah and J. D. Verhoeven, Wear 113 (1986) 267-278.
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P. Shanmugam, P. Prasad, K. U. Rajendra and N. Venkataraman, J. Mater. Sci. 29 (1994) 4933-4940.
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A. Trudel and M. Gagne, Metallurgical Quarterly 36 No.5 (1998) 289-298.
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T. S. Shih and Z. C. Yang, Int. J. Cast. Met. Res. 10 (1998) 335-344.
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Further Comments
The database was used to create a neural network model to predict retained austenite in ADI as a function of chemical composition and heat treatment conditions. The model was published at Materials Science and Engineering A, May 2001 Vol. 311/1-2, pp 162-173.
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Keywords
Retained austenite, Austempered, Bainite, Ductile iron, Neural networks
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MAP originated from a joint project of the National Physical
Laboratory and the University of Cambridge.
MAP Website administration / map@msm.cam.ac.uk
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