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ISSN (Print): 2212-7976
ISSN (Online): 1874-477X

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Research Article

Modeling of Austenite Grain Growth Behavior for AISI 302 Stainless Steel

Author(s): Sara Benmaziane, Omar Ben Lenda*, Soukaina Saissi, Latifa Zerrouk and Elmadani Saad

Volume 15, Issue 5, 2022

Published on: 06 September, 2022

Page: [486 - 493] Pages: 8

DOI: 10.2174/2212797615666220816123154

Price: $65

Abstract

Background: Among the metals used in foundry, we find the austenitic stainless steels, which are used in several fields because of their mechanical properties, which can change during the heat treatments; for that, it is important to understand and control the growth of the austenite grains.

Objective: Modeling austenite grain growth by considering the effects of heating temperature, holding time, and initial austenite grain size on austenite grain growth.

Methods: In this paper, the austenite grain growth process of AISI 302 steel was studied in a temperature range of 900 to 1000 °C and a holding time of up to 360 minutes. Based on the experimental results and a combination of Arrhenius and Sellars type equations, a mathematical model of austenite grain growth was developed.

Results: From the experimental part, it was found that the increase in heating temperature caused the dissolution of carbides; therefore, the size of austenite grains grew faster, implying a higher growth rate. The prolongation of the holding time also led to the increase in the size of the austenite grains.

Conclusion: Based on statistical indicators and a comparison between experimental and predicted results, the ability of the model to predict austenite grain growth was confirmed.

Keywords: AISI 302 steel, austenite grain growth, heating temperature, holding time, mathematical model, recyclable.

« Previous Next »
[1]
Corten A. Acier inoxydable 2010. Available from: https://www.lenntech.fr/francais/acier-inoxydable.htm.
[2]
Cunat P-J. Aciers inoxydables. critères de choix et structure. Tech l’ingénieur Matériaux Métalliques 2000; M4540-1.
[3]
Philibert J, Vignes A, Brechet Y, Combrade P. Métallurgie: du minerai au matériau. Dunod 2013.
[4]
Krajcar J. Steel Metallurgy. Kem U Ind Chem Chem Eng 2005; 54: 490-1.
[5]
Beck PA, Kremer JC, Demer L. Grain growth in high purity aluminum. Phys Rev 1947; 71(8): 555.
[http://dx.doi.org/10.1103/PhysRev.71.555]
[6]
Beck PA, Holzworth ML, Hu H. Instantaneous rates of grain growth. Phys Rev 1948; 73(5): 526-7.
[http://dx.doi.org/10.1103/PhysRev.73.526]
[7]
Sellars CM, Whiteman JA. Recrystallization and grain growth’in hot rolling. Met Sci 1979; 13(3-4): 187-94.
[http://dx.doi.org/10.1179/msc.1979.13.3-4.187]
[8]
Li Z, Wen Z, Su F, Zhang R, Li Z. Austenite grain growth behavior of a GCr15 bearing steel cast billet in the homogenization heat treatment process. J Mater Res 2016; 31(14): 2105-13.
[http://dx.doi.org/10.1557/jmr.2016.248]
[9]
Dong D, Chen F, Cui Z. Modeling of austenite grain growth during austenitization in a low alloy steel. J Mater Eng Perform 2016; 25(1): 152-64.
[http://dx.doi.org/10.1007/s11665-015-1810-9]
[10]
Anelli E. Application of mathematical modelling to hot rolling and controlled cooling of wire rods and bars. ISIJ Int 1992; 32(3): 440-9.
[http://dx.doi.org/10.2355/isijinternational.32.440]
[11]
Chen RC, Hong C, Li JJ, Zheng ZZ, Li PC. Austenite grain growth and grain size distribution in isothermal heat-treatment of 300M steel. Procedia Eng 2017; 207: 663-8.
[http://dx.doi.org/10.1016/j.proeng.2017.10.1038]
[12]
Ji G, Gao X, Liu Z, Zhang K. In situ observation and modeling of austenite grain growth in a Nb–Ti-bearing high carbon steel. J Iron Steel Res Int 2019; 26(3): 292-300.
[http://dx.doi.org/10.1007/s42243-018-0083-6]
[13]
Shirdel M, Mirzadeh H, Habibi Parsa M. Microstructural evolution during normal/abnormal grain growth in austenitic stainless steel. Metall Mater Trans, A Phys Metall Mater Sci 2014; 45(11): 5185-93.
[http://dx.doi.org/10.1007/s11661-014-2426-7]
[14]
Patterson BR, Liu Y. Relationship between grain boundary curvature and grain size. Metall Trans, A, Phys Metall Mater Sci 1992; 23(9): 2481-2.
[http://dx.doi.org/10.1007/BF02658051]
[15]
Tao X, Gu J, Han L. Carbonitride dissolution and austenite grain growth in a high CR ferritic heat-resistant steel. ISIJ Int 2014; 54(7): 1705-14.
[http://dx.doi.org/10.2355/isijinternational.54.1705]
[16]
Rohrer GS. “Introduction to grains, phases, and interfaces - An interpretation of microstructure,” Trans. AIME, 1948; 175: 15-51, by C.S. Smith. Metall Mater Trans, B, Process Metall Mater Proc Sci 2010; 41(3): 457-94.
[http://dx.doi.org/10.1007/s11663-010-9364-6]
[17]
Xu Y, Liu J, Zhao Y, Jiao Y. Austenite grain growth kinetics and mechanism of grain growth in 12Cr ultra-super-critical rotor steel. Philos Mag 2021; 101(1): 77-95.
[http://dx.doi.org/10.1080/14786435.2020.1821113]
[18]
Fu LM, Wang HR, Wang W, Shan AD. Austenite grain growth prediction coupling with drag and pinning effects in low carbon Nb microalloyed steels. Mater Sci Technol 2011; 27(6): 996-1001.
[http://dx.doi.org/10.1179/1743284711Y.0000000001]
[19]
Lee SJ. Predictive model for austenite grain growth during reheating of alloy steels. ISIJ Int 2013; 53(10): 1902-4.
[http://dx.doi.org/10.2355/isijinternational.53.1902]
[20]
Liu ZB, Tu X, Wang XH, et al. Carbide dissolution and austenite grain growth behavior of a new ultrahigh-strength stainless steel. J Iron Steel Res Int 2020; 27: 732-41.
[21]
Choudhary BK. Activation energy for serrated flow in type 316L(N) austenitic stainless steel. Mater Sci Eng A 2014; 603: 160-8.
[http://dx.doi.org/10.1016/j.msea.2014.02.083]
[22]
Lee SJ, Lee YK. Prediction of austenite grain growth during austenitization of low alloy steels. Mater Des 2008; 29(9): 1840-4.
[http://dx.doi.org/10.1016/j.matdes.2008.03.009]
[23]
Jain A, Varshney AK, Joshi UC. Short-term water demand forecast modelling at IIT Kanpur using artificial neural networks. Water Resour Manage 2001; 15(5): 299-321.
[http://dx.doi.org/10.1023/A:1014415503476]

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