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Steels, Microstructure and Properties
TLDR
In this article, the authors studied the effects of alloying elements in iron-carbon alloys and the formation of martensite, bainite reaction and acicular ferrite reaction.Abstract:
Iron and its interstitial solid solutions * The strengthening of iron and its alloys * The iron-carbon equilibrium diagram and plain carbon steels * The effects of alloying elements in iron-carbon alloys * Formation of martensite * The bainite reaction * Acicular ferrite * The heat treatment of steels - hardenability * The tempering of martensite * Commercial Steels: New material to include Nanostructured Steels, Steels for the Energy and Automobile Industries * The embrittlement and fracture of steels * Stainless steel * Weld microstructures * Modelling of microstructure and properties *read more
Citations
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Effect of ausforming on the stability of retained austenite in a C-Mn-Si bainitic steel
TL;DR: In this article, the effect of ausforming on the stability of retained austenite in a C-Mn-Si bainitic steel was investigated through metallography, X-ray diffraction and dilatometry.
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Critical Assessment 22: bainitic forging steels
TL;DR: In this article, a critical assessment is performed concerning the most important influencing parameters and processing routes for bainitic steels, and cooling concepts are discussed regarding their optimal chemical composition, achievement of homogeneous microstructure and a low sensitivity to processing parameters.
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Fracture toughness of nanostructured railway wheels
M.R. Zhang,H.C. Gu +1 more
TL;DR: In this article, a railway wheel made of Si-Mn-Mo-V low-carbon steel is described, which is composed of carbide-free bainite that consists of bainitic ferrite laths and retained austenite films along the lath boundaries.
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Experimental study of the distribution of alloying elements after the formation of epitaxial ferrite upon cooling in a low-carbon steel
TL;DR: In this paper, electron probe microanalysis (EPMA) has been used to study the formation of epitaxial ferrite on cooling after intercritical annealing in a low-carbon steel.
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Artificial neural network modeling for the prediction of critical transformation temperatures in steels
TL;DR: A significant amount of work has been devoted not only in understanding the physical mechanism lying beneath those transformations, but also obtaining quantitatively accurate models as discussed by the authors, and Artificial Neural Network (ANN) analysis becomes a very attractive alternative for being easily distributed, self-sufficient and for its ability of accompanying its predictions by an indication of their reliability.