Owing to the high thermal stability and superior mechanical properties, the transition-metal (TM) diborides have been proved to be a class of promising hard materials used as protective films. In the present work, a n...
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Owing to the high thermal stability and superior mechanical properties, the transition-metal (TM) diborides have been proved to be a class of promising hard materials used as protective films. In the present work, a new type of ternary diborides Sc0.5V0.5B2, Sc0.5Nb0.5B2 and Sc0.5Ta0.5B2 alloyed by doping the TM scandium into VB2, NbB2 and TaB2 are systematically investigated using first-principle density functional theory (DFT) calculations. These ternary systems all possess higher hardness of up to about 45 GPa relative to their parent binary diborides ScB2, VB2, NbB2 and TaB2, suggesting they could be viewed as promising candidates of superhard materials. An improved structure searching approach was employed to explore the potential stable and metastable structures of them under the pressure of 0 similar to 100 GPa. The hexagonal AlB2-type structure (P6/mmm) was confirmed to be their ambient phase, which can retain the stability up to 100 GPa. Meanwhile, their ideal tensile and pure shear strengths all reached about 40 GPa, demonstrating their superhard nature. The origin of the enhanced mechanical properties of these ternary systems was resolved in details by electronic analysis at fundamental level. Thanks to the introduction of the Sc, the p-d interactions between TM and B atoms are greatly enhanced. This remarkable enhancement of p-d coupling hybridization together with the pure covalent B-B bonds results in their high hardness property.
As a direct-write molding technology based on the principle of layer-by-layer accumulation, inkjet printing has shown application prospects in the field of micro-sized energetic materials. Based on HKUST-1, the influe...
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The purpose of the study is to optimize power price in smart homes that connect to share energy. A Demand Side Management (DSM) system is used to coordinate P2P energy trading between smart homes using the improved ea...
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ISBN:
(数字)9798350309638
ISBN:
(纸本)9798350309645
The purpose of the study is to optimize power price in smart homes that connect to share energy. A Demand Side Management (DSM) system is used to coordinate P2P energy trading between smart homes using the improved eagle perching optimizer (IEPO). The IEPO algorithm produces optimum solutions for 99% of actual datasets, according to the outcomes. It is possible that consumer price distribution in the microgrid (MG) could be unequal as a result of P2P energy trading. The Pareto optimality principle addresses the issue of unequal price distribution, preventing households from being harmed by improving the costs of others. A final evaluation is performed on the effect of renewable energy and the penetration of storage within the MG. As the renewable energy and the penetration of storage increases, savings cannot necessarily be linear. As the saturation point approaches, they slowly begin to decline.
Decentralized peer-to-peer Local Energy Markets (LEMs) are gaining popularity as local power production from Renewable Energy Sources (RESs) increases. The study investigates a blockchain-driven LEM in which prosumers...
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ISBN:
(数字)9798350309638
ISBN:
(纸本)9798350309645
Decentralized peer-to-peer Local Energy Markets (LEMs) are gaining popularity as local power production from Renewable Energy Sources (RESs) increases. The study investigates a blockchain-driven LEM in which prosumers and consumers buy and sell energy independently of the involvement of a third party. The suggested scheme involves Home Energy Management (HEM) and demurrage mechanisms that enable both consumers and prosumers to reduce their power prices and improve their power usage. The end-user can likewise move the load to off-peak periods and benefit from lower energy costs from the LEM through the approach. In this solution, HEM and demurrage mechanisms are used to optimize power usage as well as energy costs. As well as providing adequate power for the LEM, it is economically beneficial for end users and the community. The proposed system in the study utilizes the Deep Deterministic Policy Gradient (DDPG) algorithm and demurrage mechanisms to optimize electricity usage and energy costs. Meanwhile, smart contract on the Ethereum blockchain regulate and safeguard the electricity trading process.
A mixture of copper complex and AI/CuO nanothermite, Al/CuO/CuC, represents one of the state-of-the-art gas-generating thermite systems with various pyrotechnic applications due to its tunable gas release rates. The r...
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A mixture of copper complex and AI/CuO nanothermite, Al/CuO/CuC, represents one of the state-of-the-art gas-generating thermite systems with various pyrotechnic applications due to its tunable gas release rates. The reactivity of reactive inks with various loadings of the poly(vinylpyrrolidone) (PVP) binder mixed with Al/CuO/CuC is characterized using high-speed imaging diagnostics and pressure measurements. For a PVP mass fraction of <7 wt %, the printed materials remain highly reactive and burn at a high velocity (10-54 m/s), which was one of the important goals of this study. At higher PVP contents, the polymer inhibits the reaction. Printing (dropwise and continuously writing) of inks containing 5 wt % PVP and 95 wt % reactive Al/CuO/CuC powder was demonstrated using a volumetrically controlled dispenser and a pneumatically actuated syringe. The pressure development and burning rate of the printed materials are 0.37 MPa (at 46.3% theoretical maximum density (TMD)) and 17 m/s (at 0.24% TMD), respectively, more than 10 times faster than the majority of works dealing with printed energetic formulations.
Navel orange is a very popular fruit which is rich in nutrition necessary to human health. Nowadays, rapid, nondestructive and pollution-free analysis of internal organic compounds of fruit is an important and promisi...
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Navel orange is a very popular fruit which is rich in nutrition necessary to human health. Nowadays, rapid, nondestructive and pollution-free analysis of internal organic compounds of fruit is an important and promising technology. The purpose of this paper is to present a swarm intelligence optimization method to extract the feature information of visible-near infrared (Vis-NIR) spectra of navel orange for rapid and nondestructive analysis of soluble solid content (SSC) in navel orange. This method was developed on particle swarm optimization (PSO) and named as piecewise particle swarm optimization (PPSO). The experimental results showed that the PPSO algorithm proposed in this paper overcame the disadvantage of PSO's premature convergence. The PLS model based on variables selected by PPSO for nondestructively detecting SSC of navel orange yield promising results, as the standard deviation of prediction (SEP) was 0.427 degrees Brix while the standard error of laboratory (SEL) was 0.22 degrees Brix. It indicated that the application of near infrared spectroscopy (NIRS) technology combined with PPSO for rapid analysis of soluble solid content in navel orange was feasible. (C) 2019 Elsevier B.V. All rights reserved.
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