[HTML][HTML] Micromechanical analysis and finite element modelling of laser-welded 5-mm-thick dissimilar joints between 316L stainless steel and low-alloyed ultra-high …

A Hamada, A Khosravifard, M Ali, S Ghosh… - Materials Science and …, 2023 - Elsevier
As base metals (BMs), plates of 5-mm-thick low-alloyed ultra-high-strength carbon steel (LA-
UHSS) with a tensile strength of 1.3 GPa and 5-mm-thick 316L austenitic stainless steel …

[HTML][HTML] Hot deformation behavior and constitutive modeling of a cost-effective Al8Cr12Mn25Ni20Fe35 high-entropy alloy

AW Abdelghany, M Jaskari, AS Hamada… - Journal of Alloys and …, 2022 - Elsevier
In this study, a new non-equiatomic and cost-effective high-entropy alloy (HEA), Al 8 Cr 12
Mn 25 Fe 35 Ni 20, was designed using thermodynamic parameters and prepared by arc …

Hot deformation behavior of near-β titanium alloy Ti-3Mo-6Cr-3Al-3Sn based on phenomenological constitutive model and machine learning algorithm

X Liu, H Zhang, S Zhang, W Peng, G Zhou… - Journal of Alloys and …, 2023 - Elsevier
To overcome the disadvantages of the phenomenological constitutive model, which is
sensitive to data and limited by model structure and assumptions, and to enhance the …

[HTML][HTML] Constitutive modeling and hot deformation processing map of a new biomaterial Ti–14Cr alloy

S Ghosh, A Hamada, M Patnamsetty, W Borek… - journal of materials …, 2022 - Elsevier
A new biomaterial Ti–14Cr alloy was designed for biomedical applications. The
manufacturing process of Ti alloys through hot deformation is crucial for controlling the grain …

Predicting flow stress of Ni steel based on machine learning algorithm

GM Cao, ZW Gao, XY Gao - Proceedings of the Institution of …, 2022 - journals.sagepub.com
This article builds a stress–strain prediction model based on production data from the steel
industry by using machine learning algorithms. Based on the stress–strain data of 9Ni steel …

[HTML][HTML] Microstructural variations and kinetic behaviors during metadynamic recrystallization in a nickel base superalloy with pre-precipitated δ phase

DG He, YC Lin, LH Wang - Materials & Design, 2019 - Elsevier
The metadynamic recrystallization (MDRX) features of a Ni-based alloy with pre-precipitated
δ phases (Ni 3 Nb) are researched by two-pass hot compressive experiments …

[HTML][HTML] Impact of precipitates on the hydrogen embrittlement behavior of a V-alloyed medium-manganese austenitic stainless steel

T Allam, X Guo, M Lipińska-Chwałek, A Hamada… - Journal of Materials …, 2020 - Elsevier
This paper discusses the avoidance of hydrogen embrittlement (HE) in a medium
manganese stainless steel X20CrNiMnVN18-5-10. We adopted a HE-mitigation strategy that …

TWIP and TRIP-associated mechanical behaviors of Fex (CoCrMnNi) 100-x medium-entropy ferrous alloys

HU Jeong, N Park - Materials Science and Engineering: A, 2020 - Elsevier
We investigated the mechanical deformation behaviors of three Fe x (CoCrMnNi) 100-x
medium-entropy ferrous alloys (Fe60, Fe65, and Fe70). The mechanical tests showed …

[HTML][HTML] Investigating the influence of Si on dynamic recrystallization during hot deformation behavior of ultra-high-strength lightweight steel

Z Zhang, C Song, W Wu, H Wang, Z Sun - Journal of Materials Research …, 2023 - Elsevier
In this work, we systematically evaluated the effect of Si on the dynamic recrystallization
(DRX) during hot deformation behavior of a novel high-strength rolled Medium Mn steel. To …

[HTML][HTML] Promotion of thermomechanical processing of 2-GPa low-alloyed ultrahigh-strength steel and physically based modelling of the deformation behaviour

M Ali, A Khosravifard, A Hamada, T Mattar… - Materials Science and …, 2023 - Elsevier
A low-alloyed ultrahigh-strength steel comprising CrNiMoWMnV was designed based on
thermodynamic calculations and by controlling the microalloying elements to promote …