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Utional Review Board Statement: Not applicable. Informed Consent Statement: Not applicable.Metals 2021, 11,20 ofData Availability Statement: The data presented within this study are available on request in the corresponding author. Acknowledgments: Authors would prefer to acknowledge funding supports from Ministry of Science and Technology (MOST) in Taiwan under Grant MOST 110-2221-E-007-020 -MY3, MOST 110-2224-E007-001, and MOST 109-2634-F-007 -024; the “High Entropy Supplies Center” from the Featured Areas Study Center Plan within the framework from the Larger Education Sprout Project by the Ministry of Education. Conflicts of Interest: The authors declare no conflict of interest.
Academic Editor: Thomas Schenk Received: 20 September 2021 Accepted: 19 October 2021 Published: 26 OctoberPublisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.Copyright: 2021 by the authors. Licensee MDPI, Basel, Switzerland. This short article is an open access report distributed beneath the terms and circumstances with the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ four.0/).Manganese steel alloys containing aluminum simultaneously exhibit high mechanical resistance and ductility, or high wear resistance [1,2], as well as a high rate of function hardening. That is primarily resulting from plasticity mechanisms also to traditional slip dislocations, which include transformation induced plasticity (TRIP) [3], twinning induced plasticity (TWIP) [4], and microband induced plasticity (MBIP)) [5]. The presence of these plasticity mechanisms in this alloy is largely connected for the SFE of austenite [6] which in turn dictates the final mechanical properties and dynamically recrystallized microstructures [70]. Distinctive strategies have been presented within the literature to estimate the SFE of a provided alloy. The usage of thermodynamic models has been extensively reported [113]. However, this method has the exact same limitations which can be inherent in any mathematical model. As an example, interfacial Sutezolid Protocol energy values among austenite and martensite phases are assumed considering that these values are difficult to determine experimentally. In the similar way, linearity assumptions are employed for binary, ternary, or quaternary alloys to combine different Gibbs free of charge energies, also because the effect of their interactions or use of unique thermodynamic functions obtainable for the exact same chemical element. This has led to variations inside the SFE values for the identical alloy depending around the author (e.g., the reported SFE differs by 52.four among authors for any Fe-18Mn-0.5C alloy) [14,15]. Transmission electron microscopy (TEM) [168] is usually a direct strategy with higher resolution and accuracy for estimation from the SFE. Certain elements limit its use when compared with other indirect techniques, including the Olesoxime web following: (i) exhaustive preparation of the sampleMetals 2021, 11, 1701. https://doi.org/10.3390/methttps://www.mdpi.com/journal/metalsMetals 2021, 11,2 of( 100 3 ) is essential to get electron diffractions as well as the sample doesn’t represent the generalities with the microstructure or with the bulk [19], (ii) dislocations can only be observed as thin lines at the nanoscale [20] and particular attention is required to not confuse them with contrast phenomena, (iii) deviations in measurements may exceed the average value [20], (iv) the probability of obtaining dislocations with the required geometries is low, (v) the precision depends largely on the models w.