Machine Learning to Predict the Martensite Start Temperature in Steels
Metallurgical and Materials Transactions. A, 2019 The martensite start temperature (Ms) is a critical parameter when designing high-performance steels and their heat treatments. It has, therefore, attracted significant interest over the years. Numerous methodologies, such as thermodynamics-based, linear
M. Rahaman +3 more
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Application of Virtual Reality for Learning the Material Properties of Shape Memory Alloys
Applied Sciences, 2019 A shape memory alloy (SMA) is an alloy which can eliminate deformation at lower temperatures and restore its original shape upon heating. SMAs have been receiving considerable attention in the research field of materials science, and their applications ...
Wernhuar Tarng +4 more
doaj +1 more source
Tempering of Lath Martensite in Low and Medium Carbon Steels: Assessment and Challenges
Steel Research International, 2017 This paper is a directed review of the microstructures and the mechanisms, by which they are formed by tempering of lath martensite in low and medium carbon steels. As‐quenched martensitic structure is first reviewed, then low‐temperature tempering (LTT)
G. Krauss
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Twinning behavior of orthorhombic-α” martensite in a Ti-7.5Mo alloy
Science and Technology of Advanced Materials, 2019 Deformation microstructure of orthorhombic-α” martensite in a Ti-7.5Mo (wt.%) alloy was investigated by tracking a local area of microstructure using scanning electron microscopy, electron back-scattered diffraction, and transmission electron microscopy.
X. Ji +7 more
semanticscholar +1 more source
Journal of Materials Exploration and Findings, 2023 This study was focused on determining the effect of repeated austenitization and quenching on mechanical properties and microstructure. The experiment was carried out in a rolled quencher facility with a heat treatment process of one to two times, with ...
Yanuar Nugraha, Myrna Ariati Mochtar
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Phase field simulations of coupled phase transformations in ferroelastic-ferroelastic nanocomposites
, 2009 We use phase field simulations to study composites made of two different ferroelastics (e.g., two types of martensite). The deformation of one material due to a phase transformation can elastically affect the other constituent and induce it to transform ...
A. G. Khachaturyan +3 more
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A constitutive model for analyzing martensite formation in austenitic steels deforming at high strain rates [PDF]
, 2006 This study presents a constitutive model for steels exhibiting SIMT, based on previous seminal works, and the corresponding methodology to estimate their parameters.
ZAERA, Ramon +5 more
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Effect of lattice mismatch-induced strains on coupled diffusive and displacive phase transformations
, 2006 Materials which can undergo slow diffusive transformations as well as fast displacive transformations are studied using the phase-field method. The model captures the essential features of the time-temperature-transformation (TTT) diagrams, continuous ...
J. D. Gunton +6 more
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Novel method for refinement of retained austenite in micro/nano-structured bainitic steels [PDF]
, 2017 A comparative study was conducted to assess the effects of two different heat treatments on the amount and morphology of the retained austenite in a micro/nano-structured bainitic steel.
Hu, F. +5 more
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Deformation behavior of duplex austenite and ε-martensite high-Mn steel
Science and Technology of Advanced Materials, 2013 Deformation and work hardening behavior of Fe–17Mn–0.02C steel containing ε-martensite within the austenite matrix have been investigated by means of in situ microstructural observations and x-ray diffraction analysis. During deformation, the steel shows
Ki Hyuk Kwon, Byeong-Chan Suh, Sung-Il Baik, Young-Woon Kim, Jong-Kyo Choi and Nack J Kim
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