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Despite of the appearance of numerous new materials, the iron based alloys and steels continue to play an essential role in modern technology. The properties of a steel are determined by its structural state (ferrite, cementite, pearlite,…

Materials Science · Physics 2017-07-17 I. K. Razumov , Yu. N. Gornostyrev , M. I. Katsnelson

This work integrates in-situ neutron diffraction and crystal plasticity finite element modeling to study the kinematic stability of retained austenite in high carbon bearing steels. The presence of a kinematically metastable retained…

Materials Science · Physics 2018-01-18 Rohit Voothaluru , Vikram Bedekar , Qingge Xie , Alexandru D Stoica , R Scott Hyde , Ke An

In situ neutron diffraction of the uniaxial tension test was used to study the effect of the surrounding matrix microstructure on the mechanical stability of retained austenite in high-carbon bearing steels. Comparing the samples with…

Materials Science · Physics 2018-07-18 Rohit Voothaluru , Vikram Bedekar , Dunji Yu , Qingge Xie , Ke An , R Scott Hyde

Austenite ({\gamma}-Fe, face centered cubic (FCC)) to ferrite ({\alpha}-Fe, body centered cubic (BCC)) phase transformation in steel is of great significance from the point of view of industrial applications. In this work, using classical…

Materials Science · Physics 2019-01-03 Pawan Kumar Tripathi , Sumit Kumar Maurya , Somnath Bhowmick

The induction hardening behavior of a new, hot-rolled 0.4 wt.% carbon steel with the two different starting microstructures of upper and lower bainite has been simulated using a Gleeble 3800. The effect of heating rate in the range 1 - 500…

Materials Science · Physics 2019-03-12 Vahid Javaheri , Satish Kolli , Bjørnar Grande , David Porter

Effectiveness of galaxite (Al2O3MnO) and manganese oxide (MnO2) in nucleating acicular ferrite was demonstrated in a steel with composition of Fe-13.92Mn-4.53Al-1.28Si-0.11C. The hot rolled and quenched steel had a duplex microstructure of…

Materials Science · Physics 2012-09-21 Meghan M. McGrath , David C. Van Aken , Kai Song

Partitioning at phase boundaries of complex steels is important for their properties. We present atom probe tomography results across martensite / austenite interfaces in a precipitation-hardened maraging TRIP steel (12.2 Mn, 1.9 Ni, 0.6…

Materials Science · Physics 2014-02-04 O. Dmitrieva , D. Ponge , G. Inden , J. Millán , P. Choi , J. Sietsma , D. Raabe

We present an original approach for predicting the static recrystallization texture development during annealing of deformed crystalline materials. The microstructure is considered as a population of subgrains and grains whose sizes and…

Materials Science · Physics 2021-02-22 Arthur Després , Jean-Denis Mithieux , Chad. W. Sinclair

Ferroic materials enable a multitude of emerging applications, and optimum functional properties are achieved when ferromagnetic and ferroelectric properties are coupled to a first-order ferroelastic transition. In bulk materials, this…

Materials Science · Physics 2024-08-02 Satyakam Kar , Yuki Ikeda , Kornelius Nielsch , Heiko Reith , Robert Maaß , Sebastian Fähler

A novel medium Mn steel of composition Fe-12Mn-4.8Al-2Si-0.32C-0.3V was manufactured with 1.09 GPa yield strength, 1.26 GPa tensile strength and 54% elongation. The thermomechanical process route was designed to be industrially translatable…

Materials Science · Physics 2020-04-22 T W J Kwok , K M Rahman , X Xu , I Bantounas , J F Kelleher , S Daswari , T Alam , R Banerjee , D Dye

Near-field and far-field high-energy diffraction microscopy and microcomputed tomography X-ray techniques were used to study a bulk single crystal nickel-titanium shape memory alloy sample subjected to thermal cycling under a constant…

A novel concept of varying the strain hardening rate of a medium Mn steel with 8 wt\% Mn by varying the duration of the intercritical anneal after hot rolling was explored. It was found that the stability of the austenite phase showed an…

Materials Science · Physics 2022-04-05 X. Xu , T. W. J. Kwok , P. Gong , D. Dye

Austenite reversion during tempering of a Fe-13.6Cr-0.44C (wt.%) martensite results in an ultrahigh strength ferritic stainless steel with excellent ductility. The austenite reversion mechanism is coupled to the kinetic freezing of carbon…

Materials Science · Physics 2014-02-04 L. Yuan , D. Ponge , J. Wittig , P. Choi , J. A. Jiménez , D. Raabe

This thesis was focused on the surface modification with plasma discharge. Austenitic AISI 316L stainless steel sample was carburised under different experimental conditions and mechanical properties have been studied (thickness, lattice…

Materials Science · Physics 2014-04-22 Javier García Molleja

Diffusionless phase transitions are at the core of the multifunctionality of (magnetic) shape memory alloys, ferroelectrics and multiferroics. Giant strain effects under external fields are obtained in low symmetric modulated martensitic…

The diversity of mesostructures formed in steel at cooling from a high-temperature austenite ("gamma") phase is determined by the interplay of shear reconstructions of crystal lattice and diffusion of carbon. Combining first-principles…

One of the important characteristics of solid-state phase transformations in steels is the choreography of atoms as they traverse the frontier between the parent and the product phases. Some transformations involve a chaotic motion of atoms…

Materials Science · Physics 2014-05-27 H. K. D. H. Bhadeshia

The reverse martensitic ("austenitic") transformation upon heating of equiatomic nickel-titanium nanoparticles with diameters between 4 and 17 nm is analyzed by means of molecular-dynamics simulations with a semi-empirical model potential.…

Materials Science · Physics 2022-01-04 Daniel Mutter , Peter Nielaba

We investigate the lamellar growth of pearlite at the expense of austenite during the eutectoid transformation in steel. To begin with, we extend the Jackson-Hunt-type calculation (previously used to analyze eutectic transformation) to…

Materials Science · Physics 2013-08-26 Kumar Ankit , Abhik Choudhury , Cheng Qin , Sebastian Schulz , Malte McDaniel , Britta Nestler

We describe an approach for empirical modeling of steel phase kinetics based on symbolic regression and genetic programming. The algorithm takes processed data gathered from dilatometer measurements and produces a system of differential…

Machine Learning · Computer Science 2022-12-21 David Piringer , Bernhard Bloder , Gabriel Kronberger
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