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Peritectic Determination by a Melt Deck Thermal Analysis System

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Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
There has been a growing interest in the peritectic due to increasing productivity, quality, and alloy development. Differential scanning calorimetry (DSC) has traditionally been used to study steel solidification but suffers significant limitations when measuring the solidus and peritectic. This work covers a new thermal analysis system that can characterize the peritectic reaction. Heats of AISI/SAE 1030 and 4130 steel were poured to provide some benchmarking of this new technique. The peritectic was detected and the reaction temperature measured. Measurements agree reasonably well with reference information. A review of the literature and thermodynamic calculations did find some disagreement on the exact temperatures for the peritectic and solidus. Some of this difference appears to be related to the experimental techniques employed. It was determined that the system developed accurately indicates these reaction temperatures. The system provides a unique method for examining steel solidification that can be employed on the melt deck.
Rocznik
Tom
Strony
83--88
Opis fizyczny
Bibliogr. 15 poz., rys., tab., wykr.
Twórcy
autor
  • Saginaw Valley State University, Department of Mechanical Engineering, United States
Bibliografia
  • [1] Presoly, P. & Bernhard, C. (2017). Influence of silicon and manganese on the peritectic range for steel alloys. Iron and Steel Technology. 14, 2497-2506.
  • [2] Fruehan, R.J. (1998). The Making, Shaping and Treating of Steel. Pittsburgh, PA: The AISE Steel Foundation.
  • [3] Wielgosz, E. & Kargul, T. (2015). Differential Scanning Calorimetry Study of Peritectic Steel Grades. Journal of Thermal Analysis and Calorimetry. 119(3), 1547-1553. DOI: 10.1007/s10973-014-4302-5.
  • [4] Boettinger, W.J. & Kattner, U.R. (2002). On differential thermal analyzer curves for the melting and freezing of alloys. Metallurgical and Materials Transactions A. 33(6), 1779-1794. DOI: 10.1007/s11661-002-0187-1.
  • [5] Jernkontoret (1977). A Guide to the Solidification of Steels.Stockholm: Jenkortoret.
  • [6] Binczyk, F., Cwajna, J. & Gradoń, P. (2017). ATD and DSC Analysis of IN-713C and ZhS6U-VI Superalloys. Archives of Foundry Engineering. 17(1) DOI: 10.1515/afe-2017-0002.
  • [7] Stefanescu, D.M. (2015). Thermal analysis – theory and applications in metalcasting. International Journal of Metalcasting. 9(1), 7-22. DOI: 10.1007/BF03355598.
  • [8] Kaufman, J. G. & Rooy, E. L. (2004). Aluminum Alloy Castings: Properties, Processes And Applications. Materials Park, OH: ASM International.
  • [9] AFS (2000). Introduction to Gray Cast Iron Processing.Des Plaines, Ill: American Foundry Society.
  • [10] Kelzer, E.A. (1967). Rapid carbon analysis. I. From liquidus arrest temperature. Dan.. 19, 50-2.
  • [11] Kirker, W.L. (1967). Rapid carbon analysis. II. From open-hearth samples. Metals. 19, 53-4.
  • [12] Williams, E.B. (1967). Rapid carbon analysis. III. From thermal arrest temperature measurement. Metals. 19, 55-6.
  • [13] Carlson, K.D. & Beckermann, C. (2012). Determination of Solid fraction-temperature relation and latent heat using full scale casting experiments: application to corrosion resistant steels and nickel based alloys. International Journal of Cast Metals Research. 25, 75-92. DOI: 10.1179/1743133611Y. 0000000023.
  • [14] Dojka, M., Dojka, R. & Studnicki, A. (2017). Development of a New ATD-P Tester for Hard Wear Resistant Materials. Archives of Foundry Engineering. 17(1) DOI: 10.1515/afe-2017-0007.
  • [15] Lukas, H.L., Fries, S.G. & Sundman, B. (2007). Computational Thermodynamics: The CALPHAD Method. Cambridge; New York: Cambridge University Press.
Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-755769be-7076-4624-ba59-bd0bae1a9152
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