Results 81 to 90 of about 10,967 (293)
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
Advanced Science, EarlyView.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
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Advanced Science, EarlyView.Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Hot Ductility of a Microalloyed Steel in the Intermediate Temperature Range
, 1995 In this study hot ductility has been determined from tensile tests for two states of a microalloyed steel : after casting and after rolling processes. Hot deformations were carried out at speeds varying from 10-4s-1 to 10-2s-1 and temperatures from 750°C
B. Bouzabata +5 more
core +1 more source
Advanced Science, EarlyView.Precipitation‐modulated recrystallization enables a programmable bimodal harmonic architecture in a high‐entropy alloy, delivering 1–2 GPa yield strength with >10% ductility from −196 °C to 700 °C. The resulting broad‐temperature robustness arises from the synergy of dual‐mode nanoprecipitation, harmonic core–shell topology, and temperature‐adaptive ...
Wei Li +5 more
wiley +1 more source
Effect of B2 Precipitation on Hot Ductility of Fe–22Mn–9Al–0.6C Low-Density Steel
MetalsFe–Mn–Al–C low-density steels are regarded as promising materials applied in the automotive industry to achieve the minimization of vehicular emissions and fuel consumption.
Jun Wang +4 more
doaj +1 more source
Advanced Science, EarlyView.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
Effect of Austenitization Temperature on Hot Ductility of C-Mn-Al HSLA Steel. [PDF]
Materials (Basel), 2022 Prislupcak P +9 more
europepmc +1 more source
Advanced Science, EarlyView.Strong‐yet‐ductile precipitation‐hardening alloys require novel microstructural complexity of precipitates in particularly at cryogenic condition, to constantly impart strain hardening of hard‐and‐brittle precipitates. The present work creates innovative structurally complex precipitates assembled with dispersed nanocores and a chemical‐heterogeneity ...
Shaohua Gao +9 more
wiley +1 more source
Hot Ductility Prediction Model of Cast Steel with Low-Temperature Transformed Structure during Continuous Casting. [PDF]
Materials (Basel), 2022 Hong DG, Kwon SH, Yim CH.
europepmc +1 more source
Influence of electroslag refining on the hot ductility of AISI 4340 steel in torsion
, 1981 Electroslag refining is a useful remelting process by which clean steels can be produced for sophisticated applications. In this investigation, AISI 4340 steel has been electroslag refined and the improvement in its hot ductility has been assessed using ...
Abraham, K. P. +5 more
core +1 more source