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Surface Uptake of Exogenous Volatile Organic Compounds Enhances the NO2-to-HONO Conversion on Soot

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ACS ES&T Air

ACS ES&T Air 2025年第6期2卷 1107-1114页

作者： Xinyuan Zhao Qiang Wang Peng Zhang Yonghong Wang Shuying Li Zhanyu Su Jun Liu Biwu Chu Qingxin Ma Yujing Mu Hong He College of Environmental Science and Engineering Beijing Forestry University Beijing 100083 China；State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing 100085 China College of Environmental Science and Engineering Beijing Forestry University Beijing 100083 China State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing 100085 China State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing 100085 China；Institute of Urban Environment Chinese Academy of Sciences Xiamen 361021 China；State Key Laboratory of Advanced Environmental Technology Institute of Urban Environment Xiamen 361021 China

Heterogeneous reduction of nitrogen dioxides (NO2) on soot has been suggested to be a source of nitrous oxide (HONO) in the atmosphere. However, conventional wisdom says that the contribution of NO2reduction on soot to HONO formation is limited due to the rapid deactivation of surface reductive sites in the atmosphere. On the contrary, we show that adsorbed anthropogenic and biogenic volatile organic compounds (VOCs), collectively called exogenous VOCs (EVOCs), can persistently promote the heterogeneous conversion of NO2to HONO on soot. The surface uptake of NO2driven by H2O, coupled with the hydrogen reduction of NO2supported by EVOCs on elemental carbon (EC), is proposed to be the key pathway causing the persistent production of HONO. Furthermore, field observation conducted during biomass burning seasons in the North China Plain also showed that the presence of EVOCs promotes HONO production significantly. Our results imply that the continuous adsorption and conversion of EVOCs on soot surfaces may have a remarkable enhancing impact on the persistent conversion of NO2to HONO in the atmosphere.

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Tesla Rdc Operation and Performance

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SSRN 2024年

作者： Song, Feilong Wu, Yun Yang, Xingkui Zhou, Jianping Xu, Shida Kang, Jinhui Wang, Jiaojiao National.Key Lab of Aerospace Power System and Plasma Technology Air Force Engineering University Xi’an710038 China Institute of Aeroengine Xi’an Jiaotong University Xi’an710049 China Beijing Aeronautical Technology Research Center Beijing100071 China Key Laboratory of Complex Aviation Simulation System Beijing100076 China

The suppression of pressure feedback and the control for detonation wave operating mode play a key role in improving the stagnation pressure gain of RDC. In this study, a unique Tesla RDC, in which Tesla pneumatic valve is introduced into the inlet structure and combustion chamber, has been tested compared with traditional configuration (RP-3 kerosene as fuel) at a flow rate of 1kg/s under the outlet throat to air inlet area ratio of 3. It is observed that the application of Tesla valve effectively controls the propagation direction of detonation wave and rotates clockwise as expected. At the same time, the percentage of pressure fluctuation to the static pressure in plenum decreases as a whole, and the lowest is only 4.2%. The maximum pressure gain obtained by equivalent available pressure method in all operating conditions is -26.1%. In addition, there is a linear relationship between thrust and air plenum pressure (Pt2), and when the Pt2 increases, the percentage of thrust to the required for the theoretical pressure gain of 0 increases gradually, up to 60.8% at the equivalence ratio of 0.65 and Pt2 of 2.47atm. It is predicted that a higher stagnation pressure gain will be achieved by carrying out a larger flow rate of 2.5kg/s and increasing Pt2 to 6.1atm. This work provides a new idea for RDC feedback suppression and mode control, and demonstrates the potential advantages of Tesla valve in RDC. © 2024, The Authors. All rights reserved.

关键词： Detonation

Tesla Rdc Operation and Performance

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SSRN 2024年

作者： Song, Feilong Wu, Yun Yang, Xingkui Zhou, Jianping Xu, Shida Kang, Jinhui Wang, Jiaojiao National Key Lab of Aerospace Power System and Plasma Technology Air Force Engineering University Xi’an710038 China Institute of Aeroengine Xi’an Jiaotong University Xi’an710049 China Beijing Aeronautical Technology Research Center Beijing100071 China Key Laboratory of Complex Aviation Simulation System Beijing100076 China

关键词： Detonation

Enhancing Corrosion Resistance of Metallic Surfaces with Hydrophobic H-BN Nanosheets

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SSRN 2024年

作者： Cheng, Ming Li, Wen Dun, Yuchao Chang, Wei Liu, Zeyu Wei, Qi Li, Shaojie Zhang, Xiaochen Nan, Yang Jin, Lei Aviation Key Laboratory of Science and Technology on Advanced Surface Engineering AVIC Manufacturing Technology Institute Beijing100024 China Science and Technology on Power Beam Processes Laboratory AVIC Manufacturing Technology Institute Beijing100024 China Technology Research Center Liyang Aero Power Co. LTD. AECC Guiyang550014 China

The relentless attack of corrosion on metallic surfaces is a pervasive issue that compromises the structural integrity and operational efficiency of materials in numerous industrial applications. This research aims to enhance the corrosion resistance of metallic surfaces through the application of hydrophobic hexagonal boron nitride (h-BN) nanosheets. The primary objectives of this research are to synthesize hydrophobic h-BN nanosheets (BNNS) and to evaluate the efficacy in providing corrosion protection to a variety of metallic substrates. By utilizing a mechanical exfoliation technique, the BNNS were derived from bulk h-BN, followed by a surface modification process to confer hydrophobicity. The synthesized BNNS underwent comprehensive characterization using an array of analytical tools to comprehensively assess the attributes of hydrophobic BNNS in enhancing the corrosion resistance of metallic surfaces. The corrosion resistance of metallic substrates was assessed by applying the BNNS-based coatings and subjecting them to a series of electrochemical tests and salt spray testing. The key findings of this research demonstrate a marked improvement in the corrosion resistance of metallic surfaces post-coating with hydrophobic BNNS. The hydrophobic nature of the BNNS exhibited a significant increase in hydrophobicity post-coating. Electrochemical tests revealed a positive shift in the corrosion potential and a reduction in the corrosion current density, signifying a diminished corrosion rate. By reducing the interaction between water and metal, the BNNS coatings act as a physical barrier, thereby hindering the electrochemical processes that precipitate corrosion. This study offers valuable insights into the development of advanced nanomaterial-based coatings for corrosion protection, with potential applications across various sectors, including aerospace, automotive, and civil infrastructure. © 2024, The Authors. All rights reserved.

关键词： Corrosion resistance

Research on Design and simulation of End Upsetting Process of Oil Drill Pipe 12th

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Research on Design and Simulation of End Upsetting Process o...

12th International Conference on advanced Materials and Engineering Materials, ICAMEM 2023

作者： Zhao, Xinhai Wang, Xinghui Sun, Xingchen Zheng, Chao Zhao, Liangang State Key Laboratory of Advanced Equipment and Technology for Metal Forming Shandong University Shandong Jinan250061 China Shandong University Shandong Jinan250061 China Mechanical Materials Mechatronic and Biomedical Engineering University of Wollongong Wollongong2522 Australia China Aviation Lithium Battery Co. Ltd. Luoyang471000 China Unit 32128 of the Chinese People’s Liberation Army Jinan250061 China

ISBN: (纸本)9789819735297

In this study, we present a new three-stage forming and two-stage heating forming process to improve the forming quality of tubing end upsetting. The forming process of the new process is studied by numerical simulation, and the best forming process parameters are obtained. The experimental device is designed, and the experimental results verify the accuracy of the simulation results. Through this process, the quality of the transition zone can be guaranteed while the concave defects of the inner wall can be eliminated, which has certain guiding significance for the actual production. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Induction heating

Data augmentation of SAR sensor image via information maximizing generative adversarial net 4

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Data augmentation of SAR sensor image via information maximi...

4th IEEE International Conference on Electronic Information and Communication technology, ICEICT 2021

作者： Xie, Dan Ma, Jing Li, Yibing Liu, Xinrui College of Information and Communication Engineering Harbin Engineering University Harbin150001 China Key Laboratory of Advanced Marine Communication and Information Technology Ministry of Industry and Information Technology Science and Technology on Special System Simulation Laboratory Beijing100854 China

ISBN: (纸本)9781665432030

In practical applications, the SAR image dataset is always insufficient and lacks sample diversity. Generative adversarial nets(GANs) have been widely used to address the problem of insufficient data. However, owing to no restriction on input noise, the generated images are highly random and lack diversity. The paper proposes a data augmentation method based on the information maximizing GAN to generate samples purposefully. The proposed method is realized by using information-theoretic to extend the GAN, maximizing the mutual information between the observations and a fixed subset of noise variables. Finally, it finds out a highly semantic and meaningful hidden representation information in the SAR image and thus increases the sample diversity. The experiment results based on the MSTAD data illustrate the proposed method can effectively improve the robustness and accuracy of the classifier especially for the limited training dataset. ©2021 IEEE

关键词： Generative adversarial networks

Explainable Machine-Learning Optimization of H-BN Nanosheets with Surface Defects for Enhanced Hydrophobicity

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SSRN 2024年

作者： Cheng, Ming Li, Wen Wei, Qi Dun, Yuchao Chang, Wei Liu, Zeyu Jin, Lei Wei, Guoke Aviation Key Laboratory of Science and Technology on Advanced Surface Engineering AVIC Manufacturing Technology Institute Beijing100024 China Science and Technology on Power Beam Processes Laboratory AVIC Manufacturing Technology Institute Beijing100024 China Technology Research Center Liyang Aero Power Co. LTD. AECC Guiyang550014 China

Metal corrosion incurs substantial economic and safety costs in industry, necessitating effective protective materials. Hexagonal boron nitride (h-BN) nanosheets, with their chemical stability and hydrophobicity, are an ideal choice for metal surface protection. However, optimizing their hydrophobic properties remains challenging. This study introduces an explainable AI-driven machine learning model to explore the impact of synthesis variables like temperature, heating time, and additive ratio on h-BN nanosheets' hydrophobicity. The model, with 82% accuracy, identified key variables and their nonlinear relationships, optimizing the nanosheets' hydrophobicity. By evaluating 687,500 conditions, AI-selected strategies significantly enhanced hydrophobicity, verified experimentally. This research underscores AI's potential in materials science, offering a new approach to developing advanced metal protective materials with theoretical and practical implications. © 2024, The Authors. All rights reserved.

关键词： Boron nitride

Explainable Machine-Learning Optimization of H-Bn Nanosheets with Surface Defects for Enhanced Hydrophobicity

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SSRN 2024年

关键词： Hydrophobicity

A NOVEL CONTROL METHOD BASED ON THE INSTANTANEOUS THYRISTOR VOLTAGE TO MITIGATE COMMUTATION FAILURE IN HVDC SYSTEMS 10

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A NOVEL CONTROL METHOD BASED ON THE INSTANTANEOUS THYRISTOR ...

10th Renewable Power Generation Conference, RPG 2021

作者： Zheng, Lin Zhang, Jianan Liu, Jin Wang, Huafeng Lin, Zhiguang Song, Linwei Liu, Panpan State Key Laboratory of Advanced Power Transmission Technology Global Energy Interconnection Research Institute Co. Ltd. Beijing China Beijing Key Laboratory of DC Grid Technology and Simulation Global Energy Interconnection Research Institute Beijing China

ISBN: (纸本)9781839536069

Commutation failure is a typical fault that occurs in the inverter valves of the HVDC transmission system. Continuous commutation failure will lead to serious results to the power system especially in multi-infeed HVDC power transmission system. In this paper, a novel control method to mitigate commutation failure in HVDC systems due to voltage dips caused by AC system faults is proposed. This detection method is based on instantaneous values of the thyristor voltage and it is realized by Thyristor Triggering and Monitoring (TTM) device and valve base electronics (VBE), which makes the control system react quickly and detect commutation failure with high-precision. After detecting the commutation failure, the firing angle at the inverter station is reduced by a certain angle to extend the commutation margin. The proposed commutation failure mitigation method is tested in various fault simulation using the PSCAD/EMTDC software. A single-infeed HVDC transmission system is created to test the method's effectiveness and a two-infeed HVDC transmission system is developed to study the method's performance in the multi-infeed HVDC transmission system. The test results demonstrate that the proposed method is highly effective in mitigating the continuous commutation failure in both the single-infeed and multi-infeed HVDC transmission system. © The Institution of Engineering and technology.

关键词： Thyristors