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Research Papers

Stacking Fault Energy Maps of Fe–Mn–Al–C–Si Steels: Effect of Temperature, Grain Size, and Variations in Compositions

[+] Author and Article Information
O. A. Zambrano

Research Group of Fatigue and Surfaces (GIFS);
Research Group of Tribology,
Polymers, Powder Metallurgy and
Processing of Solid Waste (TPMR),
Materials Engineering School,
Universidad del Valle,
Cali 760033, Colombia
e-mail: oscar.zambrano@correounivalle.edu.co

Contributed by the Materials Division of ASME for publication in the JOURNAL OF ENGINEERING MATERIALS AND TECHNOLOGY. Manuscript received January 24, 2016; final manuscript received May 5, 2016; published online July 8, 2016. Assoc. Editor: Peter W. Chung.

J. Eng. Mater. Technol 138(4), 041010 (Jul 08, 2016) (9 pages) Paper No: MATS-16-1034; doi: 10.1115/1.4033632 History: Received January 24, 2016; Revised May 05, 2016

A subregular solution thermodynamic model was employed to calculate the stacking fault energy (SFE) in Fe–Mn–Al–C–Si steels with contents of carbon 0.2–1.6 wt.%, manganese 1–35 wt.%, aluminum 1–10 wt.%, and silicon 0.5–4 wt.%. Based on these calculations, temperature-dependent and composition-dependent diagrams were developed in the mentioned composition range. Also, the effect of the austenite grain size (from 1 to 300 μm) on SFEs was analyzed. Furthermore, some results of SFE obtained with this model were compared with the experimental results reported in the literature. In summary, the present model introduces new changes that shows a better correlation with the experimental results and also allows to expand the ranges of temperatures, compositions, grain sizes, and also the SFE maps available in the literature to support the design of Fe–Mn–Al–C–Si steels as a function of the SFE.

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Figures

Grahic Jump Location
Fig. 1

Comparison of the calculated SFE values by increasing manganese content for Fe–Mn–0.5 C system in the current work and in the literature at 300 K

Grahic Jump Location
Fig. 2

Variations in the temperature-dependent SFE map of Fe–Mn–Al–C system by increasing the temperature and manganese content for (a) 1 wt.% Al and (b) 10 wt.% Al

Grahic Jump Location
Fig. 3

Two-dimensional SFE (unit: mJ/m2) map for (a) Fe–XMn–1Al–0.5 C alloy system and (b) Fe–XMn–10Al–0.5 C alloy system with different temperatures

Grahic Jump Location
Fig. 4

Variations in composition-dependent SFE map for increases in silicon and manganese content for (a) 1 wt.% Al and (b) 10 wt.% Al

Grahic Jump Location
Fig. 5

Variations in composition-dependent SFE map by increasing silicon, manganese, and aluminum content: (a) 15 wt.% Mn and (b) 25 wt.% Mn

Grahic Jump Location
Fig. 6

Two-dimensional SFE (unit: mJ/m2) map at 300 K for (a) Fe–XMn–1Al–XC alloy system, (b) Fe–XMn–3Al–XC alloy system, (c) Fe–XMn–6Al–XC alloy system, and (d) Fe–XMn–9Al–XC alloy system

Grahic Jump Location
Fig. 7

Variations in SFE map by increasing grain size and manganese and aluminum contents: (a) 1 wt.% Al and (b)10 wt.%Al

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