Results 211 to 220 of about 174,291 (292)
Emerging Trends in Additive Manufacturing of Metal Matrix Composites: Opportunities and Obstacles
MetalMat, EarlyView.Schematic illustrating the limitations of conventional MMC manufacturing and AM‐based solutions for high‐performance engineering applications. ABSTRACT Metal matrix composites (MMCs) are attracting increasing attention owing to their high strength, thermal stability, and wear resistance, making them essential in industries such as aerospace, automotive,
Juyeon Han +5 more
wiley +1 more source
Study of closed-cycle gas turbine for application to small modular reactors (SMRs) and coal-fired power generation through modelling and simulation [PDF]
, 2017 Olumide Olumayegun
openalex
Rare‐Earth‐Free Iron‐Based Permanent Magnets: Progress, Challenges, and Perspectives
MetalMat, EarlyView.Rare‐earth (RE)‐free iron‐based permanent magnets have gained attention as inexpensive, environmentally friendly alternatives to conventional RE‐based magnets. This review focuses on emerging Fe‐based hard magnets, discussing the fundamental principles governing their permanent magnetism and various examples of Fe‐based systems with emphasis on their ...
Sunbeom Park +4 more
wiley +1 more source
Design of Hot Heading Process and Evaluation of Mechanical Properties of Alloy718 Coupling Bolt for Gas Turbine [PDF]
, 2008 Hongseok Choi +4 more
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Materials Genome Engineering Advances, EarlyView.During the corrosion of Hf6Ta2O17 by CMAS, stable corrosion products—CaTa2O6 and HfSiO4 form at the interface, which hinder further corrosion of Hf6Ta2O17 by CMAS. This mechanism successfully explains the excellent CMAS corrosion resistance of the Hf6Ta2O17 thermal barrier coating.
Qianqian Zhou +3 more
wiley +1 more source
A new creep prediction model in Ni‐based superalloys via data‐driven symbolic regression
Materials Genome Engineering Advances, EarlyView.In this study, a predictive model for the creep life of Ni‐based superalloys under service temperature conditions was successfully established by combining high‐throughput data with machine learning algorithms. By employing symbolic regression, an interpretable relationship between the feature parameters and the target performance in the predictive ...
Wenjing Li +6 more
wiley +1 more source
Materials Genome Engineering Advances, EarlyView.This study introduces an integrated machine learning framework combining predictive models, a guided multiobjective search strategy, and particle swarm optimization (PSO) to discover novel refractory high‐entropy alloys with exceptional yield strengths (1580–1740 MPa) and fracture strains (23%–27%), overcoming challenges of vast composition spaces and ...
Gang Xu +6 more
wiley +1 more source