Phase Diagrams of Me-O-C Systems to Study Metallurgical Processes

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Abstract:

Metallurgical processes in Me-O-C systems cannot be studied and controlled using conventional analytical and physicochemical techniques. This is due to the complex physical and chemical interactions occurring in high-temperature metallurgical systems with the formation of various compounds. To study such processes, mathematical (thermodynamic) simulation and other techniques are widely used, among which graphical diagrams illustrating the equilibrium between individual phases or their systems occupy a special place. Diagrams have been proposed that are more common, informative, and herewith universal to study pyrometallurgical processes. The main research objective was to determine the equilibrium composition of the Me-O-C system, i.e., the amount or ratio of its various compounds such as carbides, oxides, pure substances, and, possibly, ternary compounds. The equilibrium compositions of the system were obtained to plot diagrams from not only experimental studies but also the chemical equilibria mathematical simulation results using the Selector software package. The diagrams proposed herein allow establishing a quantitative relationship between the temperature, the ratio of independent components (metal, oxygen, and carbon), on the one hand, and the complete equilibrium composition of the system, which implies data on the amount and type of condensed and gas phases in the system and their ratios, on the other hand. This mechanism is a new tool to study chemical conversions in complex metallurgical processes, which will be very useful for metallurgists, chemists, and technologists.

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Materials Science Forum (Volume 1052)

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221-226

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February 2022

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© 2022 Trans Tech Publications Ltd. All Rights Reserved

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[1] Z. Peng, D. Gregurek, P.J. Mackey, Modeling, simulation, and developments of metallurgical processes, JOM. 67 (2015) 425-426.

DOI: 10.1007/s11837-014-1249-8

Google Scholar

[2] N.G. Ageev, Modeling of Processes and Objects in Metallurgy, UrFU Publ. House, Yekaterinburg, (2016).

Google Scholar

[3] Y. Ren, H. Bao, Modeling and simulation of metallurgical process based on hybrid petri net, IOP Conf. Series: Materials Science and Engineering. 157 (2016) 012018.

DOI: 10.1088/1757-899x/157/1/012018

Google Scholar

[4] M. Satetnus, J. Pieprzyca, T. Merder, Physical modelling of metallurgical processes, MSF. 879 (2016) 1685-1690.

DOI: 10.4028/www.scientific.net/msf.879.1685

Google Scholar

[5] G.B. Sinyayev, N.A. Vatolin, B.G. Trusov, G.K. Moiseyev, Use of Computers for Thermodynamic Computing of Metallurgical Processes, Nauka, Moscow, (1982).

Google Scholar

[6] S. Watanasiri, S. Anavi, M.W. Wadsley, Modeling metallurgical processes using a chemical-engineering simulator, Fluid Phase Equilibria. 82 (1993) 55-62.

DOI: 10.1016/0378-3812(93)87128-n

Google Scholar

[7] M. Li, J. Zhou, C. Tong, W. Zhang, H. Li, Mathematical model of whole-process calculation for bottom-blowing copper smelting, Metall. Res. Technol. 115 (2018) 107.

DOI: 10.1051/metal/2017078

Google Scholar

[8] N.V. Nemchinova, S.S. Belsky, A.V. Aksenov, A.A. Vasilyev, Using free energy minimization method for metallurgical process studies, Proceedings of Irkutsk State Technical University. 3 (2014) 151-158.

Google Scholar

[9] N.V. Nemchinova, V.A. Bychinskii, S.S. Bel'skii, V.E. Klets, Basic physicochemical model of carbothermic smelting of silicon, Russian Journal of NonFerrous Metals. 4 (2008) 269-276.

DOI: 10.3103/s1067821208040111

Google Scholar

[10] A.A. Tyutrin, A.K. Timofeev, Application of mathematical modeling methods in studying the processes of obtaining and refining metallurgical nitrogen, Modern Problems of Science and Education. 4 (2012) 126.

Google Scholar

[11] N.V. Nemchinova M.S. Leonova, A.K. Timofeev, Study of the metallurgical silicon production process using pelletized charge by the thermodynamic modeling method, Proceedings of Irkutsk State Technical University. 7 (2016) 162-171.

DOI: 10.21285/1814-3520-2016-7-162-171

Google Scholar

[12] N.V. Nemchinova, A.A. Tyutrin, V.M. Salov, Mathematical model of silicon smelting process basing on pelletized charge from technogenic raw materials, IOP Conf. Series: Materials Science and Engineering. 327 (2018) 022073.

DOI: 10.1088/1757-899x/327/2/022073

Google Scholar

[13] M.P. Zykova, V.Y. Krolevetskaya, E.N. Mozhevitina, E.M. Gavrishchuk, I.C. Avetissov, Investigation of the phase diagram of the Zn-Se-Fe ternary system for laser application, Izvestiya Vysshikh Uchebnykh Zavedenii. Materialy Elektronnoi Tekhnikii. 19 (2016) 87-94.

DOI: 10.17073/1609-3577-2016-2-87-94

Google Scholar

[14] M. Cross, D. McBride, N. Croft, Computation modeling of metallurgical processes: achievements and challenges, The Minerals, Metals & Materials Society. (2014) 359-366.

Google Scholar

[15] V.G. Lisienko, S.I. Holod, V.P. Zhukov, Modeling of metallurgical process of copper fire refining, VII All-Russian Scientific and Practical Conference of Students, Graduate Students and Young Scientists on Heat Engineering and Computer Science in Education, KnE Engineering. (2018) 241-250.

DOI: 10.18502/keg.v3i5.2676

Google Scholar

[16] B. Peters, Advanced Simulation Technologies of Metallurgical Processing, Metals. 10(6) (2020) 829.

Google Scholar

[17] G.G. Mikhailov, L.A. Makrovets, O.V. Samoilova, Thermodynamic modeling of phase diagrams of binary and ternary oxide systems belonging to the FeO‒MgO‒MnO‒Al2O3 system, Novye Ogneupory. 6 (2020) 47-50.

DOI: 10.17073/1683-4518-2020-6-47-50

Google Scholar

[18] D.A. Kulik, T. Wagner, S.V. Dmytrieva, G. Kosakowski, F.F. Hingerl, K.V. Chudnenko, GEM-Selektor geochemical modeling package: revised algorithm and GEMS3K numerical kernel for coupled simulation codes, U.R. Berner, Computational Geosciences. 17 (2013) 1-24.

DOI: 10.1007/s10596-012-9310-6

Google Scholar

[19] E.C. Dragna, A. Ioana, N. Constantin, Methods of steel manufacturing - The electric arc furnace, IOP Conf. Series: Materials Science and Engineering. 294 (2018) 012017.

DOI: 10.1088/1757-899x/294/1/012017

Google Scholar

[20] O.V. Avchenko, K.V. Chudnenko, I.A. Aleksandrov, Fundamentals of Physico-Chemical Modeling of Mineral Systems, Nauka, Moscow, (2009).

Google Scholar

[21] M.W. Chase, JANAF Thermochemical Tables, third ed., Part I, Al–Co, J. of Phys. and Chem. Ref. Data, V. 14, Supplement N 1, (1985).

Google Scholar

[22] R.A. Robie, B.S. Hemingway, Thermodynamic Properties of Minerals and Related Substances at 298.15 K and 1 Bar (105 Pascals) Pressure and at Higher Temperatures, U.S. Geological Survey Bulletin, U.S. Government printing Office, Washington, (1995).

DOI: 10.3133/b1452

Google Scholar

[23] T.J.B. Holland, R. Powell, An internally consistent thermodynamic data set for phases of petrological interest, J. of Metamorphic Geology. 3 (1998) 309-343.

DOI: 10.1111/j.1525-1314.1998.00140.x

Google Scholar

[24] G.G. Mineev, T.S. Mineeva, I.A. Zhuchkov, E.V. Zelinskaya, Theory of Metallurgical Processes, ISTU Publ., Irkutsk, (2010).

Google Scholar