Results 81 to 90 of about 917 (213)

Fretting Wear and Corrosion Behavior of the Fe‐35Mn Biodegradable Alloy for Biomedical Applications

Materials and Corrosion, EarlyView.
This study evaluates the corrosion and tribological wear behavior of the Fe‐35Mn alloy, demonstrating superior mechanical stability and a more favorable degradation rate than pure iron, thereby highlighting its potential for biomedical applications. ABSTRACT The biodegradable Fe‐35Mn alloy has emerged as a promising material for temporary implants due ...
Kerolene Barboza da Silva, Caio Pascotti Valem, S. Sudhagara Rajan, Vasanth Gopal, Praveenkumar Kesavan, Roberto Zenhei Nakazato, Geetha Manivasagam, Ana Paula Rosifini Alves   +7 more
wiley   +1 more source

Hydrogen‐Enhanced Stress Corrosion Cracking of Wire Arc Additive Manufactured Inconel 625 Superalloy in NaCl Solution: Mechanism of Synergistic Degradation

Materials and Corrosion, EarlyView.
Hydrogen‐enhanced SCC of WAAM Inconel 625 in 3.5 wt.% NaCl solution. Hydrogen charging reduces passive film stability (lower corrosion potential) and promotes pitting at Laves phase/matrix interfaces. Stress corrosion cracks propagate along Laves‐rich regions, leading to quasi‐cleavage brittle fracture.
Xu Zhang, Jinhong Liu, Gongchen Zhu, Yajie Chu, Dong Wu, Liyi Wang   +5 more
wiley   +1 more source

Effect of dislocation multiplication in intercritical region on microstructure and properties of low-carbon bainite/ferrite multiphase steel

工程科学学报, 2019
Hot deformation is a way to effectively improve strength and plasticity of multiphase steels simultaneously, thereby, improving mechanical properties of multiphase steels.
TIAN Ya-qiang, TIAN Geng, WANG An-dong, ZHENG Xiao-ping, WEI Ying-li, SONG Jin-ying, CHEN Lian-sheng   +6 more
doaj   +1 more source

Symbolic Regression‐Guided Feature Engineering for Predicting Magnetization in Cu‐Based Alloys Under Data‐Scarce Conditions

Materials Genome Engineering Advances, EarlyView.
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, Jiejie Li, Qiuju Zhang, Fenghua Chen, Bo Li, Ziqi Tian, Liang Chen   +6 more
wiley   +1 more source

Continuous annealing of medium-Mn steels: Plasticity controlled by SIMT kinetics through grain size distribution and Mn concentration in retained austenite

Materials & Design
Intercritical annealing, a process widely employed to achieve a high fraction of retained austenite in medium-Mn steels, typically requires several hours, resulting in low economic efficiency. Alternatively, flash annealing, characterized by high heating
Adam Skowronek
doaj   +1 more source

Transferable Hot‐Deformation Flow‐Curve Modeling Across Steels Through Transfer Learning

Materials Genome Engineering Advances, EarlyView.
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, Zhengjun Yao, Shuyan Wang, Xiaolin Zhu, Siyi Sheng, Guojin Xiang, Jicong Zhang, Qiuhao Gu, Liukai Hua, Shasha Zhang   +9 more
wiley   +1 more source

Effect of austempering parameters on microstructure and mechanical properties of horizontal continuous casting ductile iron dense bars [PDF]

China Foundry, 2015
In the present research, the orthogonal experiment was carried out to investigate the influence of different austempering process parameters (i.e. austenitizing temperature and time, and austempering temperature and time) on microstructure and mechanical
Chun-jie Xu, Pan Dai, Zheng-yang Zhang
doaj  

Designing γ‐TiAl Alloys With Refined Twin‐Lamellar Microstructures via Machine Learning‐Driven Phase‐Field Methods

Materials Genome Engineering Advances, EarlyView.
Dual‐phase γ‐TiAl alloys with refined twin‐lamellar (RTL) structures exhibit optimal strength‐ductility synergy. Here, phase‐field simulations reveal composition‐stress‐dependent refined twin‐lamellar (RTL) microstructure evolution. Machine learning (CatBoost + NSGA‐III) trained on phase‐field images predicts optimal RTL‐stress‐composition design space.
Jianwei Li, Zhenqiang Xiong, Chuanxin Liang, Tianjiao Dong, Heran Wang, Mengyuan Hao, Liqiang He, Tianlong Zhang, Dong Wang   +8 more
wiley   +1 more source

Influence of Heat Treatment and Scan Rotation on the Microstructure of Hot Work Tool Steel Manufactured using Laser Powder Bed Fusion

steel research international, EarlyView.
The study investigates the influence of heat treatment and scan rotation on the microstructure of a modified H13 tool steel manufactured using laser powder bed fusion. Key findings include the refinement of prior austenite grains (PAGs) due to recrystallization and carbide pinning, and the significant impact of scan rotation on the size distribution of
Negar Panahi, Fengxiang Lin, Christos Oikonomou, Mikael Grehk   +3 more
wiley   +1 more source

Alloy Qualification for Producing Quench and Tempered Plate Steels with Extra‐Heavy Gage

steel research international, EarlyView.
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, Unai Mayo, Nerea Isasti, Eric Detemple, Hardy Mohrbacher, Pello Uranga   +5 more
wiley   +1 more source