Institution
Beihang University
Education•Beijing, China•
About: Beihang University is a education organization based out in Beijing, China. It is known for research contribution in the topics: Computer science & Control theory. The organization has 67002 authors who have published 73507 publications receiving 975691 citations. The organization is also known as: Beijing University of Aeronautics and Astronautics.
Topics: Computer science, Control theory, Nonlinear system, Microstructure, Artificial neural network
Papers published on a yearly basis
Papers
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TL;DR: In this article, the authors developed SnSe crystals with a wide bandgap of 33 kBT with attractive thermoelectric properties through Pb alloying, which achieved an ultra-high power factor of 75 μWcm-1K-2 at 300 K and a ZTave of 1.90.
Abstract: Thermoelectric materials transfer heat and electrical energy, being useful for power generation or cooling applications. Many of these materials have narrow bandgaps, especially for cooling applications where this property has been seen as particularly important for enhancing the thermoelectric properties. We developed SnSe crystals with a wide bandgap Eg ~ 33 kBT with attractive thermoelectric properties through Pb alloying. The momentum and energy multiband alignment promoted by Pb alloying resulted in an ultra-high power factor ~75 μWcm–1K–2 at 300 K, and a ZTave ~ 1.90. We show that a 31-pair thermoelectric device can produce a power generation efficiency ~4.4% and a cooling ΔTmax ~ 45.7 K. These results demonstrate that wide bandgap compounds can be used for thermoelectric cooling applications.
192 citations
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TL;DR: A state-of-the-art literature survey on scheduling issues in cloud manufacturing and a detailed statistical analysis of the literature is provided based on the data gathered from the Elsevier’s Scopus abstract and citation database.
Abstract: For the past eight years, cloud manufacturing as a new manufacturing paradigm has attracted a large amount of research interest worldwide. The aim of cloud manufacturing is to deliver on-demand man ...
192 citations
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TL;DR: A novel approach is proposed to generate sufficient non-collinear control points for structured light stripe vision sensor calibration, which advances structured light vision one step from laboratory environments to real engineering 3D metrology applications.
192 citations
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TL;DR: In this article, a novel underwater super-oleophobic porous membrane with multifunctions such as oil-water separation, flow-through photocatalysis and self-cleaning was demonstrated.
Abstract: Functional porous membranes with special surface wettability have been applied widely for the treatment of water contamination. Herein, we demonstrated a novel underwater superoleophobic porous membrane with multifunctions such as oil–water separation, flow-through photocatalysis and self-cleaning. The porous membrane was fabricated by electrochemical formation of hierarchical TiO2 nanotubes on the surface of porous titanium, followed by calcination in air. Due to its superhydrophilicity and underwater superoleophobicity, the porous membrane achieved the separation of oily substances from water by allowing water to permeate through the membrane. The photocatalysis of hierarchical TiO2 nanotubes in the porous membrane was used to decompose toxic organic molecules during the permeation of polluted water through the membrane. In some cases, when the porous membrane was contaminated by organic molecules in the environment and lost their unique surface wettability, the UV-induced self-cleaning function of hierarchical TiO2 nanotubes recovered its original wettability. This multifunctional porous membrane demonstrated potential application against water contamination.
192 citations
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TL;DR: The lift and power requirements for hovering flight in Drosophila virilis were studied using the method of computational fluid dynamics and symmetrical rotation was used for balanced, long-duration flight and advanced rotation and delayed rotation should be used for flight control and manoeuvring.
Abstract: SUMMARY The lift and power requirements for hovering flight in Drosophila
virilis were studied using the method of computational fluid dynamics.
The Navier-Stokes equations were solved numerically. The solution provided the
flow velocity and pressure fields, from which the unsteady aerodynamic forces
and moments were obtained. The inertial torques due to the acceleration of the
wing mass were computed analytically. On the basis of the aerodynamic forces
and moments and the inertial torques, the lift and power requirements for
hovering flight were obtained. For the fruit fly Drosophila virilis in hovering flight (with
symmetrical rotation), a midstroke angle of attack of approximately 37°
was needed for the mean lift to balance the insect weight, which agreed with
observations. The mean drag on the wings over an up- or downstroke was
approximately 1.27 times the mean lift or insect weight (i.e. the wings of
this tiny insect must overcome a drag that is approximately 27 % larger than
its weight to produce a lift equal to its weight). The body-mass-specific
power was 28.7 W kg-1, the muscle-mass-specific power was 95.7 W
kg-1 and the muscle efficiency was 17 %. With advanced rotation, larger lift was produced than with symmetrical
rotation, but it was more energy-demanding, i.e. the power required per unit
lift was much larger. With delayed rotation, much less lift was produced than
with symmetrical rotation at almost the same power expenditure; again, the
power required per unit lift was much larger. On the basis of the calculated
results for power expenditure, symmetrical rotation should be used for
balanced, long-duration flight and advanced rotation and delayed rotation
should be used for flight control and manoeuvring. This agrees with
observations.
192 citations
Authors
Showing all 67500 results
Name | H-index | Papers | Citations |
---|---|---|---|
Yi Chen | 217 | 4342 | 293080 |
H. S. Chen | 179 | 2401 | 178529 |
Alan J. Heeger | 171 | 913 | 147492 |
Lei Jiang | 170 | 2244 | 135205 |
Wei Li | 158 | 1855 | 124748 |
Shu-Hong Yu | 144 | 799 | 70853 |
Jian Zhou | 128 | 3007 | 91402 |
Chao Zhang | 127 | 3119 | 84711 |
Igor Katkov | 125 | 972 | 71845 |
Tao Zhang | 123 | 2772 | 83866 |
Nicholas A. Kotov | 123 | 574 | 55210 |
Shi Xue Dou | 122 | 2028 | 74031 |
Li Yuan | 121 | 948 | 67074 |
Robert O. Ritchie | 120 | 659 | 54692 |
Haiyan Wang | 119 | 1674 | 86091 |