Progress in Natural Science: Materials International
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New fossil elaterids (Insect: Coleoptera: Polyphaga: Elateridae) from the Middle Jurassic of Inner Mongolia, China
Progress in Natural Science: Materials International - Tập 19 Số 10 - Trang 1433-1437 - 2009
High sensitivity, fast speed and self-powered ultraviolet photodetectors based on ZnO micro/nanowire networks
Progress in Natural Science: Materials International - Tập 24 - Trang 1-5 - 2014
Effect of superplastic deformation on precipitation behavior of sigma phase in 3207 duplex stainless steel
Progress in Natural Science: Materials International - Tập 31 - Trang 334-340 - 2021
Effect of B sites on the catalytic activities for perovskite oxides La.6Sr.4CoxFe1-xO3-δ as metal-air batteries catalysts
Progress in Natural Science: Materials International - Tập 28 - Trang 399-407 - 2018
Improvement of oxidation resistance of Nb–Ti–Si based alloys with additions of Al, Cr and B at different temperatures
Progress in Natural Science: Materials International - Tập 31 - Trang 442 - 2021
The effects of Cr, Al and B addition on the microstructure and high-temperature oxidation behaviors (at 1200, 1250 and 1300 °C) of Nb–Ti–Si based alloys were investigated. The results showed that the addition of Cr stabilized α-Nb5Si3, while Al promoted the formation of β-Nb5Si3 and adding B promoted the formation of γ-Nb5Si3. Among the three elements, Al and Cr were beneficial to oxidation resistance at 1200 °C, and B was favorable to the oxidation resistance at 1300 °C. At 1250 °C, Al and B had the same effects on the improvement of oxidation resistance. The ratio of these alloying elements might play an important role in enhancing oxidation resistance. The oxidation resistance of the three kinds of silicides was compared, and the sequence was: γ-Nb5Si3> β-Nb5Si3> α-Nb5Si3. To predict the effects of the investigated alloying elements on the oxidation resistance of Nb–Ti–Si based alloys in a wider range of concentration, an artificial neural network (ANN) model was established, showing excellent accuracy and generalization ability. With the instructions of the ANN model, the oxidation resistance can be optimized with less additions of alloying elements.
#Nb–Ti–Si alloys #Alloying #Oxidation resistance #Artificial neural network
Microstructure evolution and strain recovery characteristic of proton-irradiated Ti-rich NiTi thin films
Progress in Natural Science: Materials International - Tập 32 - Trang 72-78 - 2022
Role of support in photothermal carbon dioxide hydrogenation catalysed by Ni/CexTiyO2
Progress in Natural Science: Materials International - Tập 28 - Trang 168-177 - 2018
High reproducibility and sensitivity of bifacial copper nanowire array for detection of glucose
Progress in Natural Science: Materials International - Tập 27 - Trang 311-315 - 2017
Effect of local hyperthermia induced by nanometer magnetic fluid on the rabbit VX2 liver tumor model
Progress in Natural Science: Materials International - Tập 19 - Trang 1705-1712 - 2009
Effect of Mo content on microstructure and stress-rupture properties of a Ni-base single crystal superalloy
Progress in Natural Science: Materials International - Tập 26 - Trang 112-116 - 2016
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