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Study of Flow and Heat Transfer in an Ejector-Driven Swirl Anti-Icing Chamber

Fluid Dynamics & Materials Processing 2024年第5期20卷 989-1014页

作者： Yi Tu Yuan Wu Yu Zeng Hunan University of Arts and Sciences Hunan Key Laboratory of Distributed Electric Propulsion Vehicle Control TechnologyChangde415000China Liaoning Provincial Key Laboratory of Aircraft Ice Protection AVIC Aerodynamics Research InstituteShenyang110034China School of Aeronautic Science and Engineering Beihang UniversityBeijing100191China

The formation of ice on the leading edge of aircraft engines is a serious issue,as it can have catastrophic *** Swirl Anti-Icing(SAI)system,driven by ejection,circulates hot fluid within a 360°annular chamber to heat the engine inlet lip surface and prevent *** study employs a validated Computational Fluid Dynamics(CFD)approach to study the impact of key geometric parameters of this system on flow and heat transfer characteristics within the anti-icing ***,the entropy generation rate and exergy efficiency are analyzed to assess the energy utilization in the *** research findings indicate that,within the considered flow range,reducing the nozzle specific areaφfrom 0.03061 to 0.01083 can enhance the ejection coefficient by over 60.7%.This enhancement increases the air circulating rate,thereby intensifying convective heat transfer within the SAI ***,the reduction inφalso leads to a significant increase in the required bleed air pressure and a higher entropy generation rate,indicating lower exergy *** nozzle angleθnotably affects the distribution of hot and cold spots on the lip surface of the SAI ***θfrom 0°to 20°reduces the maximum temperature difference on the anti-icing chamber surface by 60 K.

关键词： Swirl anti-icing heat transfer exergy efficiency hot and cold spot aircraft engine

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Lightweight defect detection method of punched nickel-plated steel strip based on GhostNet

Lightweight defect detection method of punched nickel-plated...

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2023 International Conference on Pattern Recognition, Machine Vision and Intelligent Algorithms, PRMVIA 2023

作者： Li, Jianqi Liang, Yincong Du, Rui Wan, Jingying Cao, Binfang Liu, Huiting Hunan University of Arts and Sciences Hunan Provincial Key Laboratory for Control Technology of Distributed Electric Propulsion Aircraft Changde China Jishou University Hunan Provincial Key Laboratory for Control Technology of Distributed Electric Propulsion Aircraft Changde China Hunan University of Arts and Sciences College of Computer and Electrical Engineering Changde China

ISBN: (纸本)9798350346596

Aiming at the problem that the defects generated in the production and transportation of punched nickel-plated steel strips are not easy to be detected by deep learning methods, a lightweight, low-redundancy, and high-precision detection method is proposed in this paper. Firstly, a feature extraction network based on GhostNet is constructed, which reduces the amount of computation and feature redundancy while ensuring accuracy. Then the ECA module is applied to the detection head to perform weighted fusion of the features of different channels for better differentiation. Finally, the YOLO detection head is used for multi-scale detection. In the experiment, the mAP of 84.86% was obtained by this method, which proves that this method can be applied to the actual steel strip defect: detection. © 2023 IEEE.

关键词： Redundancy

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Enhancing lithium-ion and electric conductive Li_(2)FeSiO_(4)cathode through in situ boron-doping and carbon-coating strategy

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Rare Metals 2022年第12期41卷 4055-4064页

作者： Hao-Xiang Li Jia-Hui Zhu Xiao-Bing Huang Tao Zhou Yu-Rong Ren Hunan Provincial Key Laboratory of Chemical Power Sources College of Chemistry and Chemical EngineeringCentral South UniversityChangsha 410083China Hunan Provincial Key Laboratory of Water Treatment Functional Materials Hunan Provincial Key Laboratory for Control Technology of Distributed Electric Propulsion AircraftCollege of Chemistry and Materials EngineeringHunan University of Arts and ScienceChangde 415000China Jiangsu Province Engineering Research Center of Intelligent Manufacturing Technology for the New Energy Vehicle Power Battery Changzhou Key Laboratory of Intelligent Manufacturing and Advanced Technology for Power BatterySchool of Materials Science and EngineeringChangzhou UniversityChangzhou 213164China

The extremely low electrical conductivity and ion-diffusion coefficient of Li_(2)FeSiO_(4)limits its application as a cathode material in lithium-ion ***,in situ boron-doped Li_(2)FeSi_(1)-xB_(x)O_(4-δ)/C(x=0,0.01,0.03,0.05 and 0.07)at the Si site was prepared via the solid-state reaction method using pitch as the c arbon source.B doping in the lattice structure and a c arbon coating on the surface of the composites could effectively enhance the Li^(+)/electron ***,the reduced particle size of the active material with the relatively high specific area via borondoped modification could improve the wettability between the electrolyte and *** the synergistic effect of appropriate boron doping and carbon coating,it exhibits a good rate performance,specific capacity,and cycling *** a result,the as-prepared Li_(2)FeSi_(0.95)B_(0.05)O_(4-δ)/C cathode showed a high discharge capacity of 160.7mAh·g^(-1)at 0.2C,and the capacity retention rate was 96%after 100 cycles at *** work presents an effective path for designing advanced cathode materials for lithium-ion batteries.

关键词： Li_(2)FeSiO_(4) Carbon coating Boron doping Synergistic effect Lithium-ion battery

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Lightweight defect detection method of punched nickel-plated steel strip based on GhostNet

Lightweight defect detection method of punched nickel-plated...

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Pattern Recognition, Machine Vision and Intelligent Algorithms (PRMVIA), International Conference on

作者： Jianqi Li Yincong Liang Rui Du Jingying Wan Binfang Cao Huiting Liu Hunan Provincial Key Laboratory for Control Technology of Distributed Electric Propulsion Aircraft Hunan University of Arts and Sciences Changde China Hunan Provincial Key Laboratory for Control Technology of Distributed Electric Propulsion Aircraft Jishou University Changde China College of Computer and Electrical Engineering Hunan University of Arts and Sciences Changde China

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Fully distributed Time-Varying Formation control of Quadrotors

Fully Distributed Time-Varying Formation Control of Quadroto...

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International Conference on Guidance, Navigation and control, ICGNC 2022

作者： Cheng, Ming Tian, Yu Liu, Hao Li, Jianqi School of Astronautics Beihang University Beijing100191 China Beijing Institute of Electronic System Engineering Beijing100854 China Institute of Artificial Intelligence Beihang University Beijing100191 China Hunan Provincial Key Laboratory for Control Technology of Distributed Electric Propulsion Aircraft Changde415000 China

ISBN: (纸本)9789811966125

This paper centers on addressing the fully distributed formation control (FDFC) problem for multiple micro quadrotors to practically perform time-varying formation trajectory tracking flight. The quadrotor model is considered as a nonlinear underactuated system, being influenced by the effects of couplings, parameter variations and environmental uncertainties. A fully distributed formation control law is designed, with local information of the networked quadrotor system. Experimental results for a micro quadrotor team validates the stability and superiority of the proposed control law. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Robust control

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Image Object Background Classification with Jensen-Shannon Divergence

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IAENG International Journal of Applied Mathematics 2022年第4期52卷

作者： Nie, Fangyan Li, Jianqi College of Computer and Electrical Engineering Hunan University of Arts and Science Hunan 415000 China Hunan Provincial Key Laboratory of Distributed Electric Propulsion Vehicle Control Technology Hunan 415000 China

The classification of image object and background by thresholding is a technique widely used in the field of image processing. In this paper, a new image thresholding method for object and background classification is proposed based on Jensen-Shannon divergence and Poisson distribution. The Jensen-Shannon divergence is a measure that has excellent performance in measuring the information difference between different information systems. Firstly, the Poisson distribution is used to fit the grayscale frequency distribution of original image in the proposed method. And then, the optimal fitting distribution is searched by minimizing the Jensen-Shannon divergence of original and segmented images. At the same time, the optimal threshold is calculated for image thresholding. Finally, the proposed method is extended to the problem of multi-class classification, and the particle swarm optimization algorithm is adopted to reduce the computing time. Compared with some well-known and prevailing methods, the performance and effectiveness of the proposed method are analyzed qualitatively and quantitatively. The experimental results demonstrate the validity and popularization value of the proposed method. © 2022, IAENG International Journal of Applied Mathematics. All Rights Reserved.

关键词： Poisson distribution

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Detection method of nickel foam foreign matter based on double-branch lightweight network

Detection method of nickel foam foreign matter based on doub...

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2022 Chinese Automation Congress, CAC 2022

作者： Li, Jianqi Liang, Yincong Liu, Huiting Cao, Binfang Yan, Wei Du, Rui Hunan University of Arts and Sciences Hunan Provincial Key Laboratory for Control Technology of Distributed Electric Propulsion Aircraft Changde China Jishou University College of Information Science and Engineering Changde China Hunan University of Arts and Sciences College of Computer and Electrical Engineering Changde China Xiangtan University College of Automation and Electronic Information Xiangtan China

ISBN: (纸本)9781665465335

Real-time, accurate and rapid detection of defects in nickel foam is a challenging task and plays a crucial role in the quality control of nickel foam production. Currently, research on deep learning-based industrial defect detection usually uses large neural network models to pursue high accuracy, ignoring model complexity and hardware requirements. In order to reduce the application cost, the Detection method of nickel foam foreign matter based on double-branch lightweight network is proposed. First, a lightweight backbone convolutional network is designed to extract features, which reduces computational complexity while effectively extracting features. Then, atrous convolution is used to further optimize the model accuracy, increasing the receptive field of the convolution without losing information, and ensuring the quality of the extracted features. Finally, we use a dual-branch structure for segmentation and classification to dynamically query the detection results of defects. The experimental results on the nickel foam defect dataset show that our model is able to achieve high detection accuracy and single-sheet detection rate, and has strong competitive accuracy and lower detection rate compared with state-of-the-art detectors amount of calculation. © 2022 IEEE.

关键词： Convolution

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Operando Selenium Treatment Towards Enhanced Cyclic Stability for Single-Crystal Ni-Rich Cathode at Ultra-High Voltage of 4.7 V

SSRN

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SSRN 2023年

作者： Zhang, Zhi Ding, Xiang He, Xinyou Gong, Yang Xiao, Biaobiao Shen, Jixue Ou, Xing Engineering Research Center The Ministry of Education for Advanced Battery Materials School of Metallurgy and Environment Central South University Changsha410083 China Hunan Provincial Key Laboratory of Water Treatment Functional Materials Hunan Provincial Key Laboratory for Control Technology of Distributed Electric Propulsion Aircraf College of Chemistry and Materials Engineering Hunan University of Arts and Science Changde415000 China Institute of Advanced Battery Materials and Devices Faculty of Materials and Manufacturing Beijing University of Technology Beijing100124 China Tianmu Lake Institute of Advanced Energy Storage Technologies Co. Ltd Liyang213300 China State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of Technology Wuhan430070 China

关键词： Single crystals

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Operando Selenium Treatment Towards Enhanced Cyclic Stability for Single-Crystal Ni-Rich Cathode at Ultra-High Voltage of 4.7 V

SSRN

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SSRN 2023年

作者： Zhang, Zhi Ding, Xiang He, Xinyou Gong, Yang Xiao, Biaobiao Shen, Jixue Ou, Xing Hunan Provincial Key Laboratory of Water Treatment Functional Materials Hunan Provincial Key Laboratory for Control Technology of Distributed Electric Propulsion Aircraf College of Chemistry and Materials Engineering Hunan University of Arts and Science Changde415000 China Engineering Research Center of the Ministry of Education for Advanced Battery Materials School of Metallurgy and Environment Central South University Changsha410083 China Institute of Advanced Battery Materials and Devices Faculty of Materials and Manufacturing Beijing University of Technology Beijing100124 China Tianmu Lake Institute of Advanced Energy Storage Technologies Co. Ltd Liyang213300 China State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of Technology Wuhan430070 China

Developing high-voltage (≥4.3 V vs Li/Li+) single-crystal Ni-rich LiNixCoyMn1-x-yO2 offers an enticing strategy to achieve high energy density for lithium-ion batteries. However, at high-voltage operation, the cathode will be vulnerable to induce the intrinsic Oα- (α 0.6Co0.1Mn0.3O2 (SC-NCM) cathode materials by introducing the surface Se element, exhibiting an "anti-aging" effect of inhibiting the escape of oxygen on SC-NCM particles during the ultra-high voltage (4.7 V) cycling. Both theoretical calculation and experimental results confirm that the outside-in nanostructure would substitute some mobile Oα- at the surface of highly charged SC-NCM particle, stabilizing the oxygen lattice and suppressing O2 release during long-term cycling. Meanwhile, the surface modification of thin Se layer will alleviate the parasitic reactions and improve the electronic conductivity. Under the synergistic strategy of surface modification and interface doping, the obtained SC-NCM exhibits boosted cyclic stability in coin half-cell and pouch full-cell simultaneously. Therefore, the reversible capacity of LiNi0.6Co0.1Mn0.3O2 at high voltage is competitive with comercial LiNixCoyMn1-x-yO2 (x ≥ 0.8), demonstrating more superior safety ability and cyclic property. It provides an effective approach for improving the long-term performance of Ni-rich cathode materials for practical application under ultra-high working voltage. © 2023, The Authors. All rights reserved.

关键词： Single crystals

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Detection method of nickel foam foreign matter based on double-branch lightweight network

Detection method of nickel foam foreign matter based on doub...

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Chinese Automation Congress (CAC)

作者： Jianqi Li Yincong Liang Huiting Liu Binfang Cao Wei Yan Rui Du Hunan Provincial Key Laboratory for Control Technology of Distributed Electric Propulsion Aircraft Hunan University of Arts and Sciences Changde China College of Information Science and Engineering Jishou University Changde China College of Computer and Electrical Engineering Hunan University of Arts and Sciences Changde China College of of Mathematics and Science Hunan University of Arts and Sciences Changde China College of Automation and Electronic Information Xiangtan University Xiangtan China

关键词： Convolution Computational modeling Production Quality control Object detection Feature extraction Nickel

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