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Experimental study of an anti-icing method over an airfoil based on pulsed dielectric barrier discharge plasma

Chinese Journal of Aeronautics 2018年第7期31卷 1449-1460页

作者： Yongqiang TIAN Zhengke ZHANG Jinsheng CAI Leilei YANG Lei KANG National Key Laboratory of Science and Technology on Aerodynamical Design and Research Northwestern Polytechnical University

Aircraft icing has long been a plague to aviation for its serious threat to flight safety. Even though lots of methods for anti-icing have been in use or studied for quite a long time, new methods are still in great demand for both civil and military aircraft. The current study in this paper uses widely used Dielectric Barrier Discharge（DBD） plasma actuation to anti-ice on a NACA0012 airfoil model with a chord length of 53.5 cm in a closed-circuit icing wind tunnel. An actuator was installed at the leading edge of the airfoil model, and actuated by a pulsed low-temperature plasma power source. The actuator has two types of layout, a striped electrode layout and a meshy electrode *** ice accretion process or anti-icing process was recorded by a CCD camera and an infrared camera. Instantaneous pictures and infrared contours show that both types of DBD plasma actuators have the ability for anti-ice under a freestream velocity of 90 m/s, a static temperature of -7℃,an Median Volume droplet Diameter（MVD） of 20 lm, and an Liquid Water Content（LWC） of 0.5 g/m^3. The detected variations of temperatures with time at specific locations reveal that the temperatures oscillate for some time after spraying at first, and then tend to be nearly constant *** shows that the key point of the anti-icing mechanism with DBD plasma actuation is to achieve a thermal equilibrium on the model surface. Besides, the power consumption in the anti-icing process was estimated in this paper by Lissajous figures measured by an oscilloscope, and it is lower than those of existing anti-icing methods. The experimental results presented in this paper indicate that the DBD plasma anti-icing method is a promising technique in the future.

关键词： Anti,icing Icing wind tunnel Lissajous figures PlaSma actuator Pulsed dielectric barrier discharge

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Galvanic Corrosion between Al‒Zn‒Mg‒Cu Alloy and Stainless Steel in the Salt-Spray Atmosphere

SSRN

引用

SSRN 2022年

作者： Peng, Yiwen Zhao, Junwen Liu, Yifeng Han, Ruipeng Liu, Zhiwei Gao, Jiewei School of Materials Science and Engineering Southwest Jiaotong University Chengdu610031 China China Southwest Architectural Design and Research Institute Corporation Ltd Chengdu China State Key Laboratory for Mechanical Behavior of Materials School of Materials Science and Engineering Xi’an Jiaotong University No. 28 Xianning West Road Shaanxi Province Xi’an710049 China School of Mechanical and Electrical Engineering University of Electronic Science and Technology of China Chengdu611731 China

The galvanic corrosion between Al–Zn–Mg–Cu alloy and stainless steel in the salt-spray atmosphere was investigated based on experimental testing and the COMSOL simulation. The kinetic curves of the weight loss for the Al–Zn–Mg–Cu alloy specimens coupled with stainless steel and the monomer specimens basically follow a power function with an exponential of 0.33 and 0.38, respectively, and the weight loss of the former is three times that of the latter after corrosion for 128 h. According to the COMSOL simulation and coupling polarization curve, the potential and current density at the galvanic corrosion zone (GCZ) are -0.67 V and 13.6 A/m², while those at the exposed corrosion zone (ECZ) are -0.82 V and 3×10 -3 A/m². The maximum width of the GCZ increases from 501 μm to 1980 μm when the corrosion time increases from 2 h to 128 h. The combined action of the high current density stemming from coupling and the pitting corrosion produced at the second phase particles produced the large-sized corrosion pits at the GCZ (≥ 200×200 μm), much larger than the sizes of those at the ECZ (60×60 μm). In addition, the galvanic corrosion process of Al–Zn–Mg–Cu alloy was elaborated. © 2022, The Authors. All rights reserved.

关键词： Aluminum alloys

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Competing energetic states in γ−Fe2WO6 with strong spin-charge-lattice coupling

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Physical Review B 2021年第13期104卷 134413-134413页

作者： M. Sretenovic S. Okamoto G. Peiker T. X. Tang H. Zhang C. Q. Xu T. W. Heitmann Q. Zhang C. R. dela Cruz X. Ke Department of Physics and Astronomy Michigan State University East Lansing Michigan 48824 USA Materials Science and Technology Division Oak Ridge National Laboratory Oak Ridge Tennessee 37831 USA Skyline High School Sammamish Washington 98075 USA Missouri Research Reactor University of Missouri Columbia Missouri 65211 USA Neutron Scattering Division Oak Ridge National Laboratory Oak Ridge Tennessee 37831 USA

We report magnetic and electronic properties of γ−Fe2WO6 via neutron powder-diffraction measurements and first-principles density-function theory calculations. We reveal a magnetic ground state with two phases coexisting in which the minor phase is the same as an earlier report [Pinto et al., Acta Crystallogr., Sect. A 33, 663 (1977).], despite the fact that both materials studied have the same space group but with slightly different atomic positions. Interestingly, both magnetic phases are well captured by first-principles calculations. Furthermore, we show that these two magnetic phases are correlated with electronic properties, with one being insulating and the other being metallic. These features suggest that γ−Fe2WO6 exhibits competing energetic states in which spin, charge, and lattice degrees of freedom are strongly coupled to each other.

关键词： Magnetism Density functional theory Neutron diffraction

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Pressure-stabilized unconventional stoichiometric yttrium sulfides

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Physical Review Research 2020年第4期2卷 043435-043435页

作者： Ju Chen Wenwen Cui Kun Gao Jian Hao Jingming Shi Yinwei Li Laboratory of Quantum Functional Materials Design and Application School of Physics and Electronic Engineering Jiangsu Normal University Xuzhou 221116 China Shandong Key Laboratory of Optical Communication Science and Technology School of Physical Science and Information Technology of Liaocheng University Liaocheng 252059 China

Yttrium sulfides are found to exhibit rich phase diagram and diverse properties under pressures. Here, we systematically investigate the stability of binary Y-S system up to 50 GPa using first-principles swarm-intelligence structure search. We identify seven hitherto unknown stoichiometries (Y7S6, Y6S5, Y7S8, Y6S7, Y5S6, Y3S2, and YS3) that are energetically stable with respect to the decomposition into elemental components. All phases exhibit metallic nature, of which YS3 shows potential superconductivity with estimated Tc of 18.5 K at 50 GPa. The Tc in YS3 is comparable to the 17 K superconductivity in elements yttrium (89.3 GPa) and sulfur (160 GPa), but could be achieved at much lower pressure. The high superconductivity is attributed to the high electronic density of states from S atoms at Fermi level. Additionally, Y3S2 is predicted to be a layer-structured magnetic electride with magnetic moment of 0.5 μB per formula unit at 6 GPa, which transforms to a three-dimensional phase with weak superconductivity around 17 GPa.

关键词： Electronic structure First-principles calculations Phase transitions Superconductivity

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Perspective of drug design with high-performance computing

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National science Review 2021年第12期8卷 11-12页

作者： Zhe Li Hui Li Kunqian Yu Hai-Bin Luo Guangdong Provincial Key Laboratory of New Drug Design and Evaluation School of Pharmaceutical Sciences Sun Yat-Sen University State Key Laboratory of Drug Research Shanghai Institute of Materia Medica Chinese Academy of Sciences Shanghai Institute for Advanced Immunochemical Studies and School of Life Science and Technology Shanghai Tech University Key Laboratory of Tropical Biological Resources of Ministry of Education School of Pharmaceutical Sciences Hainan University

In recent decades, the development of high-performance computing(HPC)continues to follow Moore's law, with many computational methods in drug design experiencing a *** prediction, virtual screening,molecular dynamics simulations and protein folding are crucial applications of computational drug design to accelerate drug discovery(Fig. 1). Reliable prediction of the receptor/ligand binding affinities that determine the pharmacological effects of drugs is the most important application of HPC in drug discovery, and is the main focus of this Perspective.

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Bioinspired micro/nanostructured surfaces prepared by femtosecond laser direct writing for multi-functional applications

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International Journal of Extreme Manufacturing 2020年第3期2卷 42-62页

作者： Yiyuan Zhang Yunlong Jiao Chuanzong Li Chao Chen Jiawen Li Yanlei Hu Dong Wu Jiaru Chu Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes CAS Key Laboratory of Mechanical Behavior and Design of MaterialsDepartment of Precision Machinery and Precision InstrumentationUniversity of Science and Technology of ChinaHefei 230026People's Republic of China Institute of Tribology Hefei University of TechnologyHefei 230009People's Republic of China School of Instrument Science and Opto-Eelectronics Engineering Hefei University of TechnologyHefei 230009People's Republic of China

manufacturing of biomimetic micro/nanostructures due to its specific advantages including high precision,simplicity,and compatibility for diverse materials in comparison with other methods(*** etching,sol-gel process,chemical vapor deposition,template method,and self-assembly).These biomimetic micro/nanostructured surfaces are of significant interest for academic and industrial research due to their wide range of potential applications,including self-cleaning surfaces,oil-water separation,and fog *** review presents the inherent relationship between natural organisms,fabrication methods,micro/nanostructures and their potential ***,we throw a list of current fabrication strategies so as to highlight the advantages of FLDW in manufacturing bioinspired microstructured ***,we summarize a variety of typical bioinspired designs(*** leaf,pitcher plant,rice leaf,butterfly wings,etc)for diverse multifunctional micro/nanostructures through extreme femtosecond laser processing *** on the principle of interfacial chemistry and geometrical optics,we discuss the potential applications of these functional micro/nanostructures and assess the underlying challenges and opportunities in the extreme fabrication of bioinspired micro/nanostructures by *** review concludes with a follow up and an outlook of femtosecond laser processing in biomimetic domains.

关键词： femtosecond laser direct writing multiscale micro/nanostructures extreme fabrication bioinspired applications

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Analysis of the resistance to penetration of aluminium-alloy plates 8th

Analysis of the resistance to penetration of aluminium-alloy...

引用

8th International Conference on Collision and Grounding of Ships and Offshore Structures, ICCGS 2019

作者： Liu, B. Dong, A. Chen, L. Liu, K. Guedes Soares, C. School of Transportation Wuhan University of Technology Wuhan China WUT-ULisboa Joint Laboratory for Extreme Loading and Response Wuhan China China Ship Development and Design Center Wuhan China School of Naval Architecture and Ocean Engineering Jiangsu University of Science and Technology Zhenjiang China Instituto Superior Técnico University of Lisbon Lisbon Portugal

ISBN: (纸本)9780367433130

This paper presents experiments and finite element simulations of an unstiffened plate and a stiffened plate quasi-statically punched by a hemispherical indenter, in order to evaluate the penetration resistance of the aluminium-alloy structures in collision and grounding accidents. The results are presented in terms of force-displacement responses and failure modes. In the experiments, the penetration resistance of the stiffened plate is almost twice as large as the one of the unstiffened plate before fracture and these two plates suffer different fracture patterns. In the simulations, the change of the material parameters caused by the welding is considered. The numerical results illustrate that the welded heat-affected zone has a significant effect on the plastic deformation and fracture of aluminium-alloy structures. © 2020 Taylor and Francis Group, London.

关键词： Heat affected zone

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Multi-infill strategy for kriging models used in variable fidelity optimization

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Chinese Journal of Aeronautics 2018年第3期31卷 448-456页

作者： Chao SONG Xudong YANG Wenping SONG National Key Laboratory of Science and Technology on Aerodynamic Design and Research Northwestern Polytechnical University

In this paper, a computationally efficient optimization method for aerodynamic design has been developed. The low-fidelity model and the multi-infill strategy are utilized in this ***-fidelity data is employed to provide a good global trend for model prediction, and multiple sample points chosen by different infill criteria in each updating cycle are used to enhance the exploitation and exploration ability of the optimization approach. Take the advantages of lowfidelity model and the multi-infill strategy, and no initial sample for the high-fidelity model is needed. This approach is applied to an airfoil design case and a high-dimensional wing design *** saves a large number of high-fidelity function evaluations for initial model construction. What＇s more, faster reduction of an aerodynamic function is achieved, when compared to ordinary kriging using the multi-infill strategy and variable-fidelity model using single infill criterion. The results indicate that the developed approach has a promising application to efficient aerodynamic design when high-fidelity analyses are involved.

关键词： Aerodynamics Infill criteria Kriging models Multi-infill Optimization

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Deep hybrid model with satellite imagery: how to combine demand modeling and computer vision for travel behavior analysis?

arXiv

引用

arXiv 2023年

作者： Wang, Qingyi Wang, Shenhao Zheng, Yunhan Lin, Hongzhou Zhang, Xiaohu Zhao, Jinhua Walker, Joan Department of Civil and Environmental Engineering Department of Urban Studies and Planning United States Computer Science and Artificial Intelligence Laboratory United States Media Lab Massachusetts Institute of Technology CambridgeMA United States Civil and Environmental Engineering University of California at Berkeley BerkeleyCA United States Urban Planning and Design The University of Hong Kong Hong Kong Department of Urban and Regional Planning University of Florida GainesvilleFL United States

Classical demand modeling analyzes travel behavior using only low-dimensional numeric data (i.e. sociodemographics and travel attributes) but not high-dimensional urban imagery. However, travel behavior depends on the factors represented by both numeric data and urban imagery, thus necessitating a synergetic framework to combine them. This study creates a theoretical framework of deep hybrid models consisting of a mixing operator and a behavioral predictor, thus integrating the numeric and imagery data for travel behavior analysis. Empirically, this framework is applied to analyze travel mode choice using the Chicago MyDailyTravel Survey as the numeric inputs and the satellite images as the imagery inputs. We found that deep hybrid models significantly outperform both classical demand models and deep learning models in predicting aggregate and disaggregate travel behavior. The deep hybrid models can reveal spatial clusters with meaningful sociodemographic associations in the latent space. The models can also generate new satellite images that do not exist in reality and compute the corresponding economic information, such as substitution patterns and social welfare. Overall, the deep hybrid models demonstrate the complementarity between the low-dimensional numeric and high-dimensional imagery data and between the traditional demand modeling and recent deep learning. They enrich the family of hybrid demand models by using deep architecture as the latent space and enabling researchers to conduct associative analysis for sociodemographics, travel decisions, and generated satellite imagery. Future research could address the limitations in interpretability, robustness, and transferability, and propose new methods to further enrich the deep hybrid models. Copyright © 2023, The Authors. All rights reserved.

关键词： Deep learning

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Hybrid Oscillator-Qubit Quantum Processors: Simulating Fermions, Bosons, and Gauge Fields

arXiv

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arXiv 2024年

作者： Crane, Eleanor Smith, Kevin C. Tomesh, Teague Eickbusch, Alec Martyn, John M. Kühn, Stefan Funcke, Lena DeMarco, Michael Austin Chuang, Isaac L. Wiebe, Nathan Schuckert, Alexander Girvin, Steven M. Department of Physics Co-Design Center for Quantum Advantage Massachusetts Institute of Technology CambridgeMA02139 United States Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA02139 United States Joint Quantum Institute Joint Center for Quantum Information and Computer Science University of Maryland NIST College ParkMD20742 United States Brookhaven National Laboratory UptonNY11973 United States Yale Quantum Institute PO Box 208 334 17 Hillhouse Ave New HavenCT06520-8263 United States Departments of Applied Physics and Physics Yale University New HavenCT06511 United States Department of Computer Science Princeton University PrincetonNJ08544 United States Infleqtion ChicagoIL60604 United States Center for Theoretical Physics Massachusetts Institute of Technology CambridgeMA02139 United States The NSF AI Institute for Artificial Intelligence and Fundamental Interactions CQTA Deutsches Elektronen-Synchrotron DESY Platanenallee 6 Zeuthen15738 Germany University of Bonn Nussallee 14-16 Bonn53115 Germany Department of Computer Science University of Toronto Canada Pacific Northwest National Laboratory RichlandWA United States Canadian Institute for Advanced Studies Toronto Canada

We develop a hybrid oscillator-qubit processor framework for quantum simulation of strongly correlated fermions and bosons that avoids the boson-to-qubit mapping overhead encountered in qubit hardware. This framework gives exact decompositions of particle interactions such as density-density terms and gauge-invariant hopping, as well as approximate methods based on the Baker-Campbell Hausdorff formulas including the magnetic field term for the U(1) quantum link model in (2 + 1)D. We use this framework to show how to simulate dynamics using Trotterisation, perform ancilla-free partial error detection using Gauss's law, measure non-local observables, estimate ground state energies using a oscillator-qubit variational quantum eigensolver as well as quantum signal processing, and we numerically study the influence of hardware errors in circuit QED experiments. To show the advantages over all-qubit hardware, we perform an end-to-end comparison of the gate complexity for the gauge-invariant hopping term and find an improvement of the asymptotic scaling with the boson number cutoff S from O(log(S)2) to O(1) in our framework as well as, for bosonic matter, a constant factor improvement of better than 104. We also find an improvement from O(log(S)) to O(1) for the U(1) magnetic field term. While our work focusses on an implementation in superconducting hardware, our framework can also be used in trapped ion, and neutral atom hardware. This work establishes digital quantum simulation with hybrid oscillator-qubit hardware as a viable and advantageous method for the study of qubit-boson models in materials science, chemistry, and high-energy physics. Copyright © 2024, The Authors. All rights reserved.

关键词： Ground state

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