Results 131 to 140 of about 28,747 (312)
Efeito do cobre e da deformação no efeito trip de um aço inoxidável austenítico AISI304, avaliado por diversos métodos de análise [PDF]
Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Ciência e Engenharia de Materiais, Florianópolis, 2013.A variação da fração volumétrica de martensita a' (fase ferromagnética) em função da ...
Lischka, Fernanda Torrens
core
Influence of Strain Rate on the Strain Hardening Behavior of a Lean Duplex Stainless Steel
The aim of this study was to examine how strain rate influences the compressive strain‐hardening behavior of a lean duplex stainless steel LDX 2101. Microstructural analysis using electron backscatter diffraction (EBSD) revealed a strain‐induced austenite‐to‐martensite transformation.
Akilakps Sawyerr +4 more
wiley +1 more source
Semantic Embeddings of Chemical Elements for Enhanced Materials Inference and Discovery
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
Application of Machine Learning in Heat Treatment Process Design of Carburized Steel
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
Austenite stabilization from direct cementite conversion in low-alloy steels
Transformation induced elasticity (TRIP) effects associated with austenite dispersions in low alloy Fe-Mn-Si steels can be enhanced by austenite stabilisation.
Gregory N. Haidemenopoulos +1 more
core +1 more source
A symbolic regression approach (SISSO) with physics‐informed feature engineering achieves high‐accuracy prediction of magnetic properties in Cu‐based alloys under data‐scarce conditions. The framework offers an interpretable and transferable strategy for accelerated alloy design.
Buyang Ma +6 more
wiley +1 more source
Transferable Hot‐Deformation Flow‐Curve Modeling Across Steels Through Transfer Learning
We propose a transferable sequence model that moves steel hot‐deformation ML beyond the “one‐case, one‐model” paradigm. Pretrained across compositions/windows and personalized with four extreme‐condition curves, it improves accuracy and robustness in 10‐fold evaluation.
Changqing Shu +9 more
wiley +1 more source
OVERCOOLED AUSTENITE STABILITY DETERMINATION METHOD [PDF]
FIELD: metallurgy, namely methods for determining influence of outer actions upon stability of overcooled austenite of low- and mean-carbon steels. SUBSTANCE: method is designed for determining influence upon stability of austenite stresses applied to ...
Фарбер, В. М. +11 more
core
Actuation Strategies for Underwater Jet‐Propelled Soft Robots
ABSTRACT This review article examines jet‐propulsion mechanisms in underwater soft robotic systems, focusing exclusively on physically fabricated and experimentally validated robots. Covering research published from 2013 to 2025, this study classifies and evaluates jet‐propulsion robots based on their actuation mechanisms.
Angel Kitone +3 more
wiley +1 more source
On the pathway to climate‐neutral steel production, recycling fractions will necessarily increase over time. Since alloying elements will enrich progressively, as they cannot be removed economically from the melt, processes need to be adjusted.
Anindita Chakraborty +3 more
wiley +1 more source

