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Materials Science and Technology Volume 23, 2007 - Issue 9
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Materials perspective

Hot strength of creep resistant ferritic steels and relationship to creep rupture data

R. C. Dimitriu
&
H. K. D. H. Bhadeshia
Pages 1127-1131 | Published online: 19 Jul 2013

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A. A. Sorour, R. R. Chromik & M. Brochu. (2015) Microstructure and densification of gas atomised Fe–Cr–B based alloy powder consolidated by spark plasma sintering. Powder Metallurgy 58:1, pages 20-29.
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H. K. D. H. Bhadeshia, R. C. Dimitriu, S. Forsik, J. H. Pak & J. H. Ryu. (2009) Performance of neural networks in materials science. Materials Science and Technology 25:4, pages 504-510.
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H. K. D. H. Bhadeshia & T. DebRoy. (2009) Critical assessment: friction stir welding of steels. Science and Technology of Welding and Joining 14:3, pages 193-196.
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R. C. Dimitriu, H. K. D. H. Bhadeshia, C. Fillon & C. Poloni. (2008) Strength of Ferritic Steels: Neural Networks and Genetic Programming. Materials and Manufacturing Processes 24:1, pages 10-15.
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N. S. Reddy, C. H. Park, Y. H. Lee & C. S. Lee. (2008) Neural network modelling of flow stress in Ti–6Al–4V alloy with equiaxed and Widmanstätten microstructures. Materials Science and Technology 24:3, pages 294-301.
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Articles from other publishers (14)

Maribel Leticia Saucedo-Muñoz. (2021) Precipitation kinetics of carbides during cyclical and isothermal aging of 2.25Cr–1Mo steel and its effect on mechanical properties. Journal of Iron and Steel Research International 28:10, pages 1282-1290.
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Jian Peng, Yukinori Yamamoto, Jeffrey A. Hawk, Edgar Lara-Curzio & Dongwon Shin. (2020) Coupling physics in machine learning to predict properties of high-temperatures alloys. npj Computational Materials 6:1.
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Yao Du, Xiaolin Li, Xu Zhang, Yip-Wah Chung, Dieter Isheim & Semyon Vaynman. (2019) Design and Characterization of a Heat-Resistant Ferritic Steel Strengthened by MX Precipitates. Metallurgical and Materials Transactions A 51:2, pages 638-647.
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G. M. Xie, R. H. Duan, P. Xue, Z. Y. Ma, H. L. Liu & Z. A. Luo. (2019) Microstructure and Mechanical Properties of X80 Pipeline Steel Joints by Friction Stir Welding Under Various Cooling Conditions. Acta Metallurgica Sinica (English Letters) 33:1, pages 88-102.
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M.L. Saucedo-Muñoz, V. Miranda-Lopez, S. Komazaki & V.M. Lopez-Hirata. (2019) Relation of small punch creep test properties with microstructure changes for an ASTM A387 Cr–Mo steel. Materials Science and Engineering: A 761, pages 138033.
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D. Shin, Y. Yamamoto, M.P. Brady, S. Lee & J.A. Haynes. (2019) Modern data analytics approach to predict creep of high-temperature alloys. Acta Materialia 168, pages 321-330.
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Alena Raznoshinskaia, Irina Troyanovskaya & Vladimir Kozminykh. (2019) Heat-storing phase-change materials: influence of thermophysical properties on stabilization of exhaust temperature. Materials Today: Proceedings 19, pages 1831-1834.
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Andrii Kostryzhev, Navjeet Singh, Liang Chen, Chris Killmore & Elena Pereloma. (2018) Comparative Effect of Mo and Cr on Microstructure and Mechanical Properties in NbV-Microalloyed Bainitic Steels. Metals 8:2, pages 134.
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Harshad Bhadeshia & Robert Honeycombe. 2017. Steels: Microstructure and Properties. Steels: Microstructure and Properties 377 400 .
G.M. Xie, H.B. Cui, Z.A. Luo, W. Yu, J. Ma & G.D. Wang. (2016) Effect of Rotation Rate on Microstructure and Mechanical Properties of Friction Stir Spot Welded DP780 Steel. Journal of Materials Science & Technology 32:4, pages 326-332.
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Karthikeyan Rajan, V.Subramanya Sarma, T.R.G. Kutty & B.S. Murty. (2012) Hot hardness behaviour of ultrafine grained ferritic oxide dispersion strengthened alloys prepared by mechanical alloying and spark plasma sintering. Materials Science and Engineering: A 558, pages 492-496.
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M.J. Peet, H.S. Hasan & H.K.D.H. Bhadeshia. (2011) Prediction of thermal conductivity of steel. International Journal of Heat and Mass Transfer 54:11-12, pages 2602-2608.
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R.C. Dimitriu & H.K.D.H. Bhadeshia. (2010) Fatigue crack growth rate model for metallic alloys. Materials & Design 31:4, pages 2134-2139.
Crossref
H.K.D.H. Bhadeshia & H.J. Stone. 2009. Fundamentals of Modeling for Metals Processing. Fundamentals of Modeling for Metals Processing 435 439 .

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