Results 101 to 110 of about 2,294 (204)

Exploiting Residual Elements Arising from Scrap Steel in Future Sustainable Steel Alloy Design

steel research international, Volume 97, Issue 8, Page 4270-4281, August 2026.
Herein, the effects of residual elements Cu and Sn on grain growth, recrystallization, and phase transformation in C–Mn steel are summarized, and a case study is presented on how the presence of residual elements can be exploited to reduce deliberate Nb microalloying while achieving the same grain size control and strength during thermomechanical ...
Claire Davis, Carl Slater, Yulin Ju, Jiaqi Duan, Pedram Dastur, Martin Strangwood   +5 more
wiley   +1 more source

Influence of Tramp Elements on Phase Transformations, Structure, and Properties of Scrap‐Based Steels: A Focused Review of Recent Developments

steel research international, Volume 97, Issue 8, Page 4067-4084, August 2026.
This review explains how impurities from recycled scrap affect steel production and performance. Even small amounts (far below 1%) of these impurities can change how steel behaves during fabrication but also affect the properties of the end product. With better understanding and targeted countermeasures, these challenges can be managed, enabling wider ...
Oleksandr Glushko, Ronald Schnitzer
wiley   +1 more source

Effect of Warm-Forging and Isothermal Normalizing on Austenite Grain Size of Carburized and Quenched Gear Steel 20CrMnTiH3

Teshugang, 2016
The effect of process of warm-forging at 880 ~ 930 °C on growth of austenite grain of gear steel 20CrMnTiH3 is analyzed by examination of physicochemistry and original material austenite grain size to get that the austenite of steel is easy abnormally ...
白瑞娟, 万长杰, 董战利, 朱振国, 王清波, 韩怀宾   +5 more
doaj  

Neural‐Initialized Newton: Accelerating Nonlinear Finite Elements via Operator Learning

International Journal for Numerical Methods in Engineering, Volume 127, Issue 14, 30 July 2026.
ABSTRACT We propose a Newton‐based scheme, initialized by neural operator predictions, to accelerate the parametric solution of nonlinear problems in computational solid mechanics. First, a physics‐informed neural operator based on conditional neural fields or Fourier neural operators is trained to approximate the nonlinear parametric solution of the ...
Kianoosh Taghikhani, Yusuke Yamazaki, Jerry Paul Varghese, Markus Apel, Reza Najian Asl, Shahed Rezaei   +5 more
wiley   +1 more source

Modeling of austenitic grain growth of 21-4N steel

Metalurgija, 2019
The effect of grain growth on 21-4N heat resistant steel was studied by static grain growth test. The experimental results show that the temperature inhibits carbide grain growth is between 1 000 - 1 120 °C. When heat preservation time is over 40 min, the driving force of grain boundary is balanced with binding force of carbide nail, grain size will ...
Ji, H. C., Li, Y. M., Ma, C. J., Long, H. Y., Liu, J. P., Wang, B. Y.   +5 more
openaire   +2 more sources

SOME OBSERVATIONS ON GRAIN GROWTH CHARACTERISTICS OF AUSTENITE

Tetsu-to-Hagane, 1955
Taiji Kawai, Yoshiaki Masuko
openaire   +2 more sources

Dynamic Observation and Analysis on Austenite Grain Growth and Inclusions in Nb-Bearing Spring Steel

Teshugang, 2011
The behavior of austenite grain growth of Nb-bearing spring steel 60Si2MnNb (%: 0. 57C, 1. 60Si, 0. 76Mn, 0. 34Cr, 0. 022Nb) during heating at 950 ~ 1 250℃.
姜超, 刘雅政, 张朝磊, 肖金福, 张玮, 易敏   +5 more
doaj  

Effect of Ce Treatment on the Austenite Grain Growth Behavior of High-Strength Low-Alloy Steel During Heating Process Before Rolling. [PDF]

Materials (Basel)
Huang F, Li J, Lu B.
europepmc   +1 more source

Influence of Reheating Conditions on Austenite Grain Growth

High Temperature Materials and Processes, 2011
Tibor Kvackaj,, Lenka Nemethova,, Rudolf Misicko,, Imrich Pokorny,   +3 more
openaire   +1 more source

A critical review of chemical heterogeneity-driven microstructure control in steels. [PDF]

Appl Microsc
Lee SH, Kim JH.
europepmc   +1 more source