Superhydrophobic flaky gamma-alumina coating was prepared on AISI 316 2B stainless steel and was field-tested near size roll at a paper machine in a paper mill for 6 weeks consisting of two running periods of machine ...
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Superhydrophobic flaky gamma-alumina coating was prepared on AISI 316 2B stainless steel and was field-tested near size roll at a paper machine in a paper mill for 6 weeks consisting of two running periods of machine to check the easy-to-clean property and durability, as compared to an uncoated reference stainless steel. In the end of the field test, both the superhydrophobic and the reference stainless steel were fully covered with substances from the testing environment. Major part of the collected substances on the superhydrophobic stainless steel can be washed away by pressurized water;however, the collected substances remained on the reference stainless steel after washing. The field-tested samples were characterized visually and by stereomicroscopy, field emission scanning electron microscopy, laser profilometry and contact angle tester. The field test revealed the easy-to-clean property of the superhydrophobic surface and the superhydrophobic coating survived rather well after the first running period of 16 days in the field test. The resistance and durability of the superhydrophobic surface still needs to be further improved for longer term application in paper industry. Nanoindentation was used to further study the mechanical properties of the gamma-alumina coating. It was found that the gamma-alumina coating became much softer after transforming from flat to flaky form. In addition, the flaky gamma-alumina coating demonstrated a phenomenon of time-dependent plasticity and some flexibility. (C) 2011 Elsevier B. V. All rights reserved.
By combining atomic layer deposition (ALD) and molecular layer deposition (MLD) thin-film techniques, the latter being a variant of the former in which organic precursors are used, it is possible to deposit thin films...
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By combining atomic layer deposition (ALD) and molecular layer deposition (MLD) thin-film techniques, the latter being a variant of the former in which organic precursors are used, it is possible to deposit thin films containing precisely controlled portions of inorganic and organic constituents. This in turn enables the adjustment of material properties by changing the number of ALD and MLD cycles applied during the deposition. In this work, the properties of such thin-film "alloys" prepared by varying the portions of Ti-4,4'-oxydianiline (Ti-ODA) inorganic-organic hybrid and TiO2 in the structure were investigated. The films were deposited at 280 degrees C using TiCl4 and water as precursors for TiO2, and TiCl4 and ODA for the Ti-ODA hybrid. The results demonstrate excellent tunability of the film properties such as degree of crystallinity, roughness, refractive index, and hardness depending on the relative number of TiO2 and Ti-ODA cycles employed.
Cognitive radio (CR) is an efficient way to increase spectrum efficiency for the small low earth orbit (LEO) satellite communication system. Due to the implementation difficulties, we focus on the CR in the uplink tra...
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Cognitive radio (CR) is an efficient way to increase spectrum efficiency for the small low earth orbit (LEO) satellite communication system. Due to the implementation difficulties, we focus on the CR in the uplink transmission. In CR, the cognitive medium access (CMA) is designed to enable the coexistence with the interferences from other systems. However, the CMA schemes designed for the terrestrial system cannot deal well with the global history of interferences in our system. Here, we design the memorized centroid bucket (MCB) scheme that can efficiently utilize the global history of interferences onboard without storing the complete interference samples. With MCB, we can achieve the effective long-term interference prediction to meet the special requirements of the LEO satellite. The key component in MCB is the matching algorithm that can help retrieve the useful historical information. In this paper, we propose three different matching algorithms and the corresponding MCB schemes. The schemes are also compared with the widely used Markovian method and the pair counting-based method. Among all the schemes, the Bayesian scheme MCB-FSNMI-Bayes is the best. The conclusion is validated experimentally with the real data that were collected by an LEO satellite.
Provided are a series of BTK inhibitors, and specifically disclosed are a compound, pharmaceutically acceptable salt thereof, tautomer thereof or prodrug thereof represented by formula (I), (II), (III) or (IV).
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US2017313683(A1)
Provided are a series of BTK inhibitors, and specifically disclosed are a compound, pharmaceutically acceptable salt thereof, tautomer thereof or prodrug thereof represented by formula (I), (II), (III) or (IV).
In this paper, we present a new loop delay estimation algorithm to accurately calculate the loop delay in the digital predistortion system (DPD), the performance of which can be significantly degraded by loop delay mi...
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Cognitive radio (CR) is an emerging technology that can help the small LEO satellite constellation to provide services more efficiently without any assignment of an exclusive spectrum band. We only focus on the centra...
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Cognitive radio (CR) is an emerging technology that can help the small LEO satellite constellation to provide services more efficiently without any assignment of an exclusive spectrum band. We only focus on the centralized interference prediction in the uplink transmission due to the difficulty in implementation. In order to reduce the stress on the onboard computing and storing ability, the prediction scheme is divided into two parts that are completed on the satellite and on the ground respectively. Compared with the terrestrial system, the historical data of the interferences collected by the LEO satellite is very sparse. Therefore, we propose the novel scheme centroid-based global statistics (CGS) to utilize the data as much as possible for the statistics. Compared with the basic scheme Naive Local Statistics (NLS), CGS is experimentally validated to be less dependent on the parameter adjustment, more robust to the different interference environment, and has a better prediction performance under different conditions.
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