An adaptive active power filter (APF) for the DC grid in ships is proposed to suppress harmonic currents above kilohertz. The delay notch Filtered X-Least Mean Square (FXLMS) algorithm is introduced as the control alg...
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Magnesium alloys remain critical in the context of light-weighting and advanced devices. The increased utilisation of magnesium(Mg)each year reveals growing demand for its Mg-based alloys. Additive manufacturing(AM) p...
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Magnesium alloys remain critical in the context of light-weighting and advanced devices. The increased utilisation of magnesium(Mg)each year reveals growing demand for its Mg-based alloys. Additive manufacturing(AM) provides the possibility to directly manufacture components in net-shape, providing new possibilities and applications for the use of Mg-alloys, and new prospects in the utilisation of novel physical structures made possible from ‘3D printing’. The review herein seeks to holistically explore the additive manufacturing of Mg-alloys to date, including a synopsis of processes used and properties measured(with a comparison to conventionally prepared Mg-alloys). The challenges and possibilities of AM Mg-alloys are critically elaborated for the field of mechanical metallurgy.
This paper focuses on the design of a novel fin-rudder-propeller integrated underwater robot, which has high maneuverability and bionic movement ability. According to the structural form, Degree of Freedom (DOF) confi...
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In 2011, a serious nuclear accident occurred in Fukushima, Japan, and one of the major causes was the destruction of the cladding material mainly made of Zr alloy due to a violent chemical reaction with high-temperatu...
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The prevalent excitonic effects in low-dimensional semiconductors enable energy-transfer-initiated photocatalytic solar-to-chemical energy ***,the generally strong interactions between excitons and lattice vibrations ...
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The prevalent excitonic effects in low-dimensional semiconductors enable energy-transfer-initiated photocatalytic solar-to-chemical energy ***,the generally strong interactions between excitons and lattice vibrations in these low-dimensional systems lead to robust nonradiative energy loss,which inevitably impedes photocatalytic performance of energy-transfer-initiated ***,we highlight the crucial role of engineering exciton-phonon interactions in suppressing nonradiative energy losses in low-dimensional semiconductor-based *** taking bismuth oxybromide(BiOBr)as an example,we demonstrate that phonon engineering could be effectively implemented by introducing Bi-Br vacancy *** on nonadiabatic molecular dynamics simulations and spectroscopic investigations,we demonstrate that the defective structure can promote exciton-low-frequency phonon coupling and reduce exciton-high-frequency optical phonon *** from the tailored couplings,nonradiative decay of excitons in defective BiOBr is significantly suppressed,thereby facilitating exciton accumulation and hence energy-transfer-initiated photocatalysis.
The Insulated Gate Bipolar Transistor (IGBT) is a critical component of power electronic equipment, and its health is of utmost importance to ensure the reliability and stability of the entire system. This paper propo...
The Insulated Gate Bipolar Transistor (IGBT) is a critical component of power electronic equipment, and its health is of utmost importance to ensure the reliability and stability of the entire system. This paper proposes a method for assessing the health status of IGBT device under various operating conditions. Firstly, a finite element model of the IGBT device is established to analyze the influence of solder layer void and bond line detachment on the saturation voltage of the device. Secondly, the device parameters are simulated under different working conditions, and an adaptive neural network algorithm is used to establish the IGBT equipment health state evaluation model. Finally, the results of the model are analyzed, and the prediction results under random conditions are compared with the simulation results. The results show that this method effectively evaluates the health status of IGBT devices.
Exploring high-performance cathode materials for aqueous zinc ion batteries(ZIBs)is still one of the critical *** vanadate compound has become a potential cathode material for ZIBs with a novel displacement reaction m...
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Exploring high-performance cathode materials for aqueous zinc ion batteries(ZIBs)is still one of the critical *** vanadate compound has become a potential cathode material for ZIBs with a novel displacement reaction mechanism of reversible reduction/oxidation of Cu^(2+)/Cu^(0).Herein,we reported Cu_(0.95)V_(2)O_(5)nanoflowers prepared using a hydrothermal synthesis method as a capable cathode material for *** Cu_(0.95)V_(2)O_(5)nanoflowers exhibit high specific capacity of 405 mAh·g^(-1) at the current density of 100 mA·g^(-1),benefiting from the displacement reaction mechanism and phase transformation mechanism from Cu_(0.95)V_(2)O_(5)to the open and stable architecture Cu_(0.4)V_(2)O_(5)and Zn3(OH)2V2O7·2H2O *** cathode exhibits excellent rate performance with a high capacity of-200 mAh·g^(-1)at 5 A·g^(-1) and outstanding cycle stability with a capacity retention of 92%after 1000 *** is anticipated that the novel Cu_(0.95)V_(2)O_(5)nanoflowers are promising cathode material in the application for zinc ion batteries.
Interfaces play a crucial role in influencing the mechanical properties of Mg *** Mg-Li dual-phase alloy,the type of interfaces is complex,which includes both grain boundary and phase boundary,and the influence of suc...
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Interfaces play a crucial role in influencing the mechanical properties of Mg *** Mg-Li dual-phase alloy,the type of interfaces is complex,which includes both grain boundary and phase boundary,and the influence of such interfaces on the damage nucleation is yet to be *** this paper,in-situ scanning electron microscopy(SEM)based measurements were carried out to investigate the meso-scale damage nucleation mechanisms of the Mg-6Li dual-phase *** show that 94.8%of cracks are nucleated at the α-Mg grain boundary in the post-uniform elongation stage,while 5.2%are at phase boundary and almost no crack at the β-Li grain *** initiation of α-Mg grain boundary cracks is attributed to strain incompatibility,which induces micro-strain localization,and then causes grain boundary sliding(GBS)and crack *** compatibility analysis reveals that the geometric compatibility factor(Mk)can be used to predict the nucleation of α-Mg grain boundary *** Mk is lower than 0.075,α-Mg grain boundary cracks tend to *** cracks are generated at the phase boundary is due to the mild strain partitioning between α-Mg phase and β-Li phase and may also be partly attributed to multiple slip systems in body-centered cubic(BCC)-structured β-Li phase,which can accommodate well with the deformation of adjacent α-Mg phase.
In this study, the accuracy and applicability of the numerical model are comprehensively evaluated based on the experimental data of a hexagonal helical cruciform (HC) seven-rods bundle. The STAR CCM+ is utilized as a...
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Complete and efficient detection of unknown targets is the most popular application of UAV swarms. Under most situations, targets have directional characteristics so that they can only be successfully detected within ...
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Complete and efficient detection of unknown targets is the most popular application of UAV swarms. Under most situations, targets have directional characteristics so that they can only be successfully detected within specific angles. In such cases, how to coordinate UAVs and allocate optimal paths for them to efficiently detect all the targets is the primary issue to be solved. In this paper, an intelligent target detection method is proposed for UAV swarms to achieve real-time detection requirements. First, a target-feature-information-based disintegration method is built up to divide the search space into a set of cubes. Theoretically, when the cubes are traversed, all the targets can be detected. Then, a Kuhn-Munkres(KM)-algorithm-based path planning method is proposed for UAVs to traverse the cubes. Finally, to further improve search efficiency, a 3 D realtime probability map is established over the search space which estimates the possibility of detecting new targets at each point. This map is adopted to modify the weights in KM algorithm, thereby optimizing the UAVs’ paths during the search process. Simulation results show that with the proposed method, all targets, with detection angle limitations, can be found by UAVs. Moreover, by implementing the 3 D probability map, the search efficiency is improved by 23.4%–78.1%.
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