Results 101 to 110 of about 55,365 (285)
Литьë и металлургияThe influence of increasing the cementation duration from 8 to 12 hours with subsequent quenching and low‑temperature tempering on the structure formation and contact fatigue of structural medium‑carbon low‑alloy steels 35CrMnSi4, 40Cr4, and 42CrMoS4 ...
E. P. Pozdnyakov, I. N. Stepankin
doaj +1 more source
Materials and Corrosion, EarlyView.The localized corrosion behavior of lean duplex stainless steel EN 1.4062 is systematically compared with austenitic and higher‐alloyed duplex grades in natural seawater. A clear resistance ranking is established, highlighting EN 1.4062 as a cost‐effective alternative for limited marine exposure.
Mohammad Hassanzadeh +4 more
wiley +1 more source
On the crystallization of austenitic carbide eutectic of chromium cast iron
Литьë и металлургияCrystallization of austenitic carbide eutectic of chromium cast iron is a nanostructural process in which iron, graphite and chromium nanocrystals play a major role.
E. I. Marukovich +2 more
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MICROSTRUCTURE AND TEXTURE FORMATION OF THIN HOT ROLLED STEEL STRIPS [PDF]
, 2004 C
COLÀS, R +4 more
core +1 more source
, 2015 The irreversibility of the martensite transition in magnetic shape memory alloys (MSMAs) with respect to external magnetic field is one of the biggest challenges that limits their application as giant caloric materials.
Acet, M. +7 more
core +1 more source
Semantic Embeddings of Chemical Elements for Enhanced Materials Inference and Discovery
Materials Genome Engineering Advances, EarlyView.ElementBERT extracts semantic embeddings of chemical elements from 1.29 million alloy‐related abstracts, providing robust descriptors that improve prediction accuracy by up to 23% across titanium, high‐entropy, and shape memory alloys, with demonstrated generalization on alloy compositions reported in 2025.
Yunze Jia +7 more
wiley +1 more source
, 2013 We report on the characterization of high carbon bearing steel 100Cr6 using electron microscopy and atom probe tomography in combination with multi-component diffusion simulations (DICTRA).
Bleck, Wolfgang +5 more
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Application of Machine Learning in Heat Treatment Process Design of Carburized Steel
Materials Genome Engineering Advances, EarlyView.To accelerate heat treatment design, we constructed a closed‐loop machine learning strategy involving multi‐source datasets and feature screening. The optimized model accurately predicts hardness and friction coefficients, successfully guiding the process optimization for two typical carburized steels with high experimental consistency.
Di Jiang +5 more
wiley +1 more source
Quenching and Partitioning of Multiphase Aluminum-Added Steels
Metals, 2019 The quenching and partitioning response following intercritical annealing was investigated for three lean TRIP-type high-Al steel compositions. Depending on the intercritical austenite fraction following annealing, the steels assumed either a ferrite ...
Tuomo Nyyssönen +5 more
doaj +1 more source
Mechanical and thermal induced phase transformations in superduplex stainless steel [PDF]
, 2000 The aim of this work is to study the microstructural changes in SAF 2507 type superduplex stainless steel due to heat treatments and mechanical fatigue process.
Dobránszky, János +2 more
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