Articles with "matrix self" as a keyword



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A novel CoCrFeNi high entropy alloy matrix self-lubricating composite

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Published in 2017 at "Journal of Alloys and Compounds"

DOI: 10.1016/j.jallcom.2017.07.197

Abstract: Abstract A novel high entropy alloy (HEA) matrix self-lubricating composite was prepared by spark plasma sintering. In this composite, the CoCrFeNi HEA was selected as the matrix, Ag and BaF 2 /CaF 2 eutectic were… read more here.

Keywords: self lubricating; cocrfeni; hea matrix; matrix ... See more keywords
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Slippery Antifouling Polysiloxane-Polyurea Surfaces with Matrix Self-Healing and Lubricant Self-Replenishing.

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Published in 2021 at "ACS applied materials & interfaces"

DOI: 10.1021/acsami.1c07132

Abstract: The inferior mechanical properties and the difficulty in repairing damaged substrates and lubricant films of slippery liquid-infused porous surfaces significantly hampered their practical applications. To solve this problem, we fabricated a polysiloxane-polyurea slippery elastomer with… read more here.

Keywords: slippery; lubricant self; self replenishing; self ... See more keywords
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Numerical Study on the Effect of Matrix Self-Heating on the Thermo-Visco-Plastic Response of Continuous Fiber-Reinforced Polymers under Transverse Tensile Loading

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Published in 2022 at "Polymers"

DOI: 10.3390/polym14101941

Abstract: The recyclability and improved suitability for high-volume production make fiber-reinforced thermoplastic polymers (FRP) attractive alternatives for the current thermoset-based ones. However, while they are more ductile than their thermoset counterparts, their behavior is also more… read more here.

Keywords: fiber reinforced; strain rate; effect; self heating ... See more keywords
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Ensemble Clustering via Co-association Matrix Self-enhancement

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Published in 2022 at "IEEE transactions on neural networks and learning systems"

DOI: 10.48550/arxiv.2205.05937

Abstract: Ensemble clustering integrates a set of base clustering results to generate a stronger one. Existing methods usually rely on a co-association (CA) matrix that measures how many times two samples are grouped into the same… read more here.

Keywords: matrix; association matrix; self enhancement; ensemble clustering ... See more keywords