Results 111 to 120 of about 7,886 (260)

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 Analyses of FSW Cu‐OFP Tested Under Creep Conditions in Sulphide Containing Environment

Materials and Corrosion, EarlyView.
Friction stir welded Cu‐OFP exhibits elevated creep rates in sulphide‐containing aqueous environments, with creep increasing as sulphide concentration rises. Hydrogen measurements indicate that sulphide exposure does not increase hydrogen content. ABSTRACT Friction stir welded oxygen‐free phosphorus‐doped copper (FSW Cu‐OFP) is a candidate material for
Patrik Sahiluoma, Tiina Ikäläinen, Juhani Rantala, Timo Saario   +3 more
wiley   +1 more source

Polycarbonate Vitrimers and Dynamic Co‐Networks From Epoxide/Carbon Dioxide Copolymerization

Macromolecular Rapid Communications, EarlyView.
This work demonstrates how CO2‐derived poly(propylene carbonate) and poly(cyclohexene carbonate) backbones influence vitrimer thermo‐mechanical behavior. By tuning backbone composition, epoxide crosslinker chemistry and blend ratios, the crosslinked materials span a wide property window, from highly extensible to stiff, glassy networks, establishing an
Satej S. Joshi, Sophia Aracri, Mark D. Foster, James M. Eagan   +3 more
wiley   +1 more source

Hot ductility of TWIP steels

TWIP (Twining Induced Plasticity) steel is very promising AHSS (Advanced High Strength Steel) grade owing to its superior toughness and ductility. Recently it has attracted the interest of the automotive and steelmaking industries, as the need for reducing weight to provide better fuel efficiency is of paramount importance with the gradual depletion of
openaire   +1 more source

Physics‐Informed Generative Machine Learning for Designing Crack‐Free γ′‐Strengthened Ni‐Based Superalloys for Laser Powder Bed Fusion

Materials Genome Engineering Advances, EarlyView.
This research proposes a physics‐informed generative machine learning framework to design SHA800, a crack‐free γ′‐strengthened nickel‐based superalloy for laser powder bed fusion, achieving a 43% γ′ volume fraction and 587 HV0.2 hardness. ABSTRACT Fabricating γ′‐strengthened nickel‐based superalloys via laser powder bed fusion (LPBF) faces significant ...
Kai Guo, Dongwei Guan, Tao Hu, Yaqing Hou, Xiaoqun Li, Zhongnan Bi, Songzhe Xu, Hao Yu, Wei Xu, Weidong Xuan, Chaoyue Chen, Zhongming Ren   +11 more
wiley   +1 more source

AlloyDesignClaw: Optimizing Castability and Mechanical Properties of Nickel‐Based Superalloys

Materials Genome Engineering Advances, EarlyView.
A stepwise optimization method is proposed for castability and mechanical properties of nickel‐based superalloys, enabling interpretable dimensionality reduction and efficient multi‐objective optimization of the composition space. An alloy design multi‐agent framework was further developed, integrating large language models, CALPHAD calculation ...
Jiaxuan Ma, Songyang Chen, Rui Feng, Xin Hao, Hang Zheng, Chushan Yi, Qingbiao Tan, Guoliang Zhu   +7 more
wiley   +1 more source

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

Effect of Sb on the Hot Ductility and Fracture Behavior of Low-Alloy Corrosion-Resistant Steel. [PDF]

Materials (Basel)
Liu Z, Li W, Gao X, Du L, Wu H, Zhang R.
europepmc   +1 more source

A Review of Advances in Composite Materials, Structural Optimization, and Machine Learning for Wind Turbine Blades: Challenges and Future Perspectives

Polymer Composites, EarlyView.
Overview of the holistic engineering lifecycle and core research pillars for wind turbine blades. ABSTRACT This paper reviews recent advancements across the lifecycle of wind turbine blades, focusing on three interconnected areas: advanced composites, structural optimization, and machine learning (ML) diagnostics. In materials, we highlight progress in
Kemal Hasirci, Denizhan Yavas, Alaeddin Burak Irez   +2 more
wiley   +1 more source

The Influence of Thermomechanical Conditions on the Hot Ductility of Continuously Cast Microalloyed Steels. [PDF]

Materials (Basel)
Sharifi SS, Bakhtiari S, Shahryari E, Sommitsch C, Poletti MC.   +4 more
europepmc   +1 more source