Results 31 to 40 of about 791 (183)
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source
A physics‐informed property‐bridging framework links high‐throughput hardness screening to tensile performance in quenching and partitioning steels. By transferring metallurgically guided representations across properties, a single alloy composition is designed to achieve multiple strength grades through heat‐treatment tuning alone, offering a ...
Xiaolu Wei +7 more
wiley +1 more source
An artificial neural network (ANN) model was designed to predict the tensile properties in high-strength, low-carbon bainitic steels with a focus on the fraction of constituents such as PF (polygonal ferrite), AF (acicular ferrite), GB (granular bainite),
Sang-In Lee +2 more
doaj +1 more source
The phase transformation behavior of a hypoeutectoid steel is studied in comparison with alloys containing higher concentrations of tramp elements, simulating high recycling rates. The examination of microstructures reveals that the tramp elements facilitate the formation of displacive phases along with retained austenite.
Lukas Hatzenbichler +7 more
wiley +1 more source
Effect of Carbon Content and Microstructure on the Diffusion of Hydrogen in Low Carbon Steels
In this work, the electrochemical permeation technique proposed in the ASTM-G148-97 Ed 2011 standard was used to determine the maximum oxidation current density, imax; breakthrough time; tb, effective hydrogen diffusion coefficient, Deff; and surface ...
J.G. Arenas-Salcedo +3 more
doaj +1 more source
Four TRIP (Transformation Induced Plasticity) assisted steels, three TBF (TRIP Bainitic Ferrite) steels and one TPF (TRIP Polygonal Ferrite) steel, were manufactured from three different carbon contents (0.2, 0.3 and 0.4 wt.% C), to study the evolution ...
Enzo Tesser +3 more
doaj +1 more source
Alloy Qualification for Producing Quench and Tempered Plate Steels with Extra‐Heavy Gage
This study develops alloy concepts for ultraheavy steel plates (>100 mm) with ≥690 MPa yield strength. Through dilatometry and Jominy testing, the effects of Mo, Ni, and B on hardenability are quantified. A synergy between 0.5% Mo and 0.5%–1.0% Ni ensures core strength at low cooling rates, while boron microalloying suppresses ferrite and promotes ...
Xabier Azpeitia +5 more
wiley +1 more source
Vanadium microalloying has emerged as a key technological strategy for enhancing the overall performance of bainitic steels. However, the influence of vanadium on bainitic transformation kinetics remains controversial.
Zhiwen Tian +5 more
doaj +1 more source
Effect of Mo Content on Microstructure and Property of Low-Carbon Bainitic Steels
In this work, three low-carbon bainitic steels, with different Mo contents, were designed to investigate the effects of Mo addition on microstructure and mechanical properties.
Haijiang Hu +3 more
doaj +1 more source
Improving Strength-Ductility via Short Austenitization in a Low-Carbon Carbide-Free Bainitic Steel
The strength and ductility of low-carbon carbide-free bainitic (CFB) automotive steel are not good enough. In this study, a short austenitization (SA) process in conjunction with isothermal bainitic transformation was adopted to refine the bainitic ...
Jianhua Li +4 more
doaj +1 more source

