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From Fundamentals to Mechanisms: Peroxyacetic acid catalysts in emerging pollutant degradation

Materials Today 2025年 87卷 197-230页

作者： Yuan, Qingtong Xiao, Linfeng Gao, Sanshuang Abdukayum, Abdukader Kong, Qingquan Hu, Guangzhi Dubal, Deepak Zhou, Yingtang School of Materials and Energy Institute for Ecological Research and Pollution Control of Plateau Lakes School of Ecology and Environmental Science Yunnan University Kunming650504 China Xinjiang Key Laboratory of Novel Functional Materials Chemistry College of Chemistry and Environmental Sciences Kashi University Kashi844000 China School of Mechanical Engineering Chengdu University Chengdu610106 China Zhejiang Key Laboratory of Petrochemical Environmental Pollution Control Marine Science and Technology College Zhejiang Ocean University Zhoushan316004 China Southwest United Graduate School Kunming650092 China Centre for Materials Science School of Chemistry & Physics Queensland University of Technology 2 George Street BrisbaneQLD4000 Australia

The growing research interest in advanced oxidation technologies has led to a focus on using reactive peroxyacetic acid (PAA), a strong oxidising agent capable of degrading emerging contaminants through both radical (e.g., hydroxyl, organic radicals) and non-radical (e.g., singlet oxygen, high-valent metal oxides) pathways, offering high resistance to environmental disturbances. Current PAA research faces significant challenges, particularly in unravelling complex degradation mechanisms to optimise catalytic efficiency and minimise environmental impacts. Previous reviews lack a focused exploration of specific oxidisers like PAA and provide less detailed mechanistic insights, practical application strategies, and environmental considerations compared to a more targeted, in-depth analysis. This study systematically investigates the role of catalyst-assisted activation of PAA in the degradation of emerging pollutants within advanced oxidation processes (AOPs). We focus on analysing the physicochemical properties of PAA and its activation mechanisms, with particular emphasis on the effects of different catalysts on the reactivity of PAA and the degradation mechanisms. Furthermore, we summarise the key factors influencing the degradation efficiency of pollutants, assess the applicability of the PAA system in environmental remediation, and explore the application of density functional theory (DFT) calculations in revealing interactions between catalysts and PAA, as well as in elucidating catalytic mechanisms. Finally, we discuss challenges and future directions for PAA in pollutant management, aiming to establish a theoretical foundation and support the development of environmentally friendly materials for pollution remediation. © 2025 The Author(s)

关键词： Bioremediation

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Prediction of Multi-Converter Gas Holders Level in Steel Enterprises based on Mechanism and Data

Prediction of Multi-Converter Gas Holders Level in Steel Ent...

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第43届中国控制会议

作者： Yaliang Yan Long Chen Jun Zhao Wei Wang School of Control Science and Engineering Dalian University of Technology Key Laboratory of Intelligent Control and Optimization for Industrial Equipment Ministry of Education

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

Linz Donawitz converter gas(LDG) is an important secondary energy source in iron and steel enterprises. The accurate prediction of converter gas holder level is of great significance for the optimal scheduling of the LDG systems. Considering that there are multi-operating conditions caused by the affection of different gas holders from each other in a multiple gas holders system, this paper proposes a mechanism and data-based converter gas holder level prediction method, in which via physical mechanism analysis the operating conditions as well as their switching logics are built according to different pressures in each gas holder and valve states. Then, the least squares support vector machine(LSSVM) is employed to establish gas holders level prediction models for each operating condition. The actual operation data in an iron and steel plant of China are employed for simulation experiments. The results show that the proposed method not only can effectively identify the operating conditions of dual gas holders system, but also can achieve higher prediction accuracies compared to those of other prediction methods,providing effective guidance for the scheduling of the LDG systems.

关键词： LDG multi-operation condition mechanisms and data fusion gas holder level

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CAMInterHand: Cooperative Attention for Multi-View Interactive Hand Pose and Mesh Reconstruction

CAMInterHand: Cooperative Attention for Multi-View Interacti...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Guwen Han Qi Ye Anjun Chen Jiming Chen College of Computer Science and Technology Zhejiang University Hangzhou China College of Control Science and Engineering Zhejiang University Hangzhou China The College of Control Science and Engineeringthe State Key Laboratory of Industrial Control Technology Zhejiang University and the Key Key Lab of CS&AUS of Zhejiang Province

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

Interactive hand mesh reconstruction from singleview images poses a significant challenge with the severe occlusion and depth ambiguity inherent in interactive hand gestures. Recent approaches that employ probabilistic models and tokenpruned techniques have shown decent results in multi-view human body reconstruction. Nevertheless, these methods have not fully utilized multi-scale semantic information from multiview images and are not applicable in scenarios involving severe occlusion during dual-hand interactions. Simultaneously, current single-view methods independently reconstruct the left and right hands, which are ineffective in enhancing the interaction between both hands. To address these challenges, we propose CAMInterHand, a cooperative attention-based method for multi-view interactive hand pose and mesh reconstruction. Specifically, CAMInterHand extracts local pyramid features and global vertex features from multi-scale feature maps of multi-view images, enabling the exploration of rich local semantic information and facilitating effective feature alignment. Furthermore, CAMInterHand employs the cooperative attention fusion module to fuse all features from multi-view images, enhancing interactions among vertices of dual hands within global and local contexts. We conduct extensive experiments on the large-scale multi-view dataset InterHand2.6M and CAMInterHand achieves a substantial performance improvement over existing methods for multi-view and single-view interactive hand reconstruction.

关键词： Fuses Semantics Feature extraction Probabilistic logic Data mining Robotics and automation Image reconstruction

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Use Anchor-Free Based Object Detectors to Detect Surface Defects

Use Anchor-Free Based Object Detectors to Detect Surface Def...

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TEPEN International Workshop on Fault Diagnostics and Prognostics, TEPEN-IWFDP 2024

作者： Liu, Jiaxue Zhang, Chao Li, Jianjun College of Mechanical Engineering Inner Mongolia University of Science and Technology Baotou014000 China Inner Mongolia Autonomous Region Key Laboratory of Intelligent Diagnosis and Control of Electromechanical Systems Baotou014010 China College of Information Engineering Inner Mongolia University of Science and Technology Baotou014000 China

ISBN: (纸本)9783031702341

Many anchor-based object detectors have limitations in the detection process because of the presence of anchors. Therefore, in recent years, many researchers have shifted their focus to designing anchor-free object detectors. In this paper, we initially employ several common anchor-free detectors (CenterNet, FCOS, YOLOX-S, and YOLOV8-S) to detect surface defects in the hot-rolled strip datasets from Northeastern University (NEU-DET). Following experimental comparisons, YOLOV8-S demonstrates the best detection performance (mAP is 78.04% and the FPS is 8.45). Secondly, we utilize transfer learning to mitigate the overfitting problem that large models can induce on small datasets. Finally, we conduct a large number of experimental comparisons to verify the effectiveness of the model. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Transfer learning

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Residual Life Prediction of Rolling Bearings Based on Transformer-BiGRU-Attention Model with Improved Sparrow Optimization Algorithm 1

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TEPEN International Workshop on Fault Diagnostics and Prognostics, TEPEN-IWFDP 2024

作者： An, Xunmeng Zhang, Chao Liu, Caiye Liu, Guiyi Hao, Jinzhang College of Mechanical Engineering Inner Mongolia University of Science and Technology Baotou014010 China Inner Mongolia Autonomous Region Key Laboratory of Intelligent Diagnosis and Control of Electromechanical Systems Baotou014010 China

ISBN: (数字)9783031694837

ISBN: (纸本)9783031694820

Remaining useful life (RUL) prediction is one of the core problems of PHM, and the traditional deep learning method has low accuracy in predicting the remaining useful life of rolling bearings. A hybrid deep learning model of Transformer-BiGRU-Attention based on improved sparrow optimization algorithm is proposed for rolling bearing remaining useful life prediction. The current sparrow optimization algorithm has the problems of slow convergence, lack of robustness and falling into local optimum. Therefore, an enhanced version of the sparrow search algorithm, termed the Chaotic Mapping-Sparrow Search Algorithm (CSSA), is introduced. The utilization of chaotic cube mapping for initializing the population enhances the quality and diversity of distribution within the population. This approach effectively prevents the algorithm from getting trapped in local optima and optimizes both the speed of convergence and the accuracy of the solutions. Tests on RUL prediction of rolling bearings show that the proposed method can more accurately achieve the RUL prediction of bearings under variable operating conditions, and the accuracy of RUL prediction results is higher than that of current methods. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Mapping

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Numerical study of short-circuiting flow and particles in a gas cyclone

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Particuology 2023年第1期72卷 81-93页

作者： Sijie Dong Chenwen Wang Zihui Zhang Qinyu Cai Kejun Dong Teng Cheng Bo Wang Key Laboratory of Western China’s Environmental Systems of Ministry of Education Engineering Research Center of Fine Particle Pollution Control Technology and Equipment of Gansu ProvinceCollege of Earth and Environmental SciencesLanzhou UniversityLanzhou 730000China Key Laboratory of Resource Environment and Sustainable Development of Oasis of Gansu Province College of Geography and Environmental ScienceNorthwest Normal UniversityLanzhou 730000China Center for Infrastructure Engineering Western Sydney UniversityPenrithNSW 2751Australia

Short-circuiting flow is an important secondary flow in gas cyclones, which has a negative impact on the separation performance. To improve the understanding of the short-circuiting flow and guide the optimization of gas cyclones, this paper presents a numerical study of a cyclone using computational fluid dynamics. Based on the steady flow field, three methods were adopted to investigate the formation mechanism and characteristics of the short-circuiting flow and particles. The temporal variation of the tracer species concentration distribution reveals that the formation mechanism of the short-circuiting flow is the squeeze between the airflows entering the annular space of the gas cyclone at different times. The short-circuiting flow region, distinguished through the spatial distribution of the moments of age, is characterized by a small mean age and a large coefficient of variation. The proportion of the short-circuiting particles increases with the increase of the inlet velocity only for small particles. But with the increase of particle size, the proportion of the short-circuiting particles decreases faster at higher inlet velocities, resulting in significant differences in collection efficiency curves.

关键词： Gas cyclone Short-circuiting flow Computational fluid dynamics Species transport Moment of age Particle tracking

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Time-domain Shielding Effectiveness of Cables Based on Metallized Aramid Fibers

Time-domain Shielding Effectiveness of Cables Based on Metal...

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2024 International Applied Computational Electromagnetics Society Symposium, ACES-China 2024

作者： Zhong, Wei Cao, Le Zhang, Tian-Yi Liu, Xu-Qing Xi'an University of Science and Technology College of Electric and Control Engineering Xi'an China Northwestern Polytechnical University State Key Laboratory of Solidification Processing Center of Advanced Lubrication and Seal Materials Xi'an China

ISBN: (纸本)9798350355581

In this paper, cables with metallized coated aramid shielding materials are prepared, and the time-domain shielding effectiveness of different structures are analyzed in comparison with those of traditional shielding cables. The results show that the time-domain shielding effectiveness inside the cable with metallization-coated aramid fibers as the shielding layer can be increased by 65% compared to the cable with traditional shielding materials. The results indicate that the metallized coated aramid material has superior shielding ability, which provides more reliable technical support for its application in the field of electromagnetic compatibility and promotes the stable operation and development of electronic equipment and communication systems. © 2024 IEEE.

关键词： Cable shielding

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Numerical simulation of the dust pollution characteristics and the optimal dustproof air volume in coal washing plant screening workshop

Numerical simulation of the dust pollution characteristics a...

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作者： Nie, Wen Zhu, Zilian Liu, Qiang Hua, Yun Liu, Chengyi Jiang, Chenwang Cheng, Chuanxing Zhang, Haonan College of Safety and Environmental Engineering Shandong University of Science and Technology Shandong Province Qingdao266590 China State Key Laboratory of Mining Disaster Prevention and Control Co-found by Shandong Province and the Ministry of Science and Technology Shandong University of Science and Technology Qingdao266590 China

Dust pollution generated during the working process of a screening workshop in a coal washing plant seriously threatens the occupational health of workers. To improve the working environment for workers, we investigated the effects of various airflow parameters on the diffusion of dust particles and pollutants. We established a proportional model of the screening workshop and conducted spatiotemporal analysis of the evolution laws of airflow and particulate matter. We used numerical simulation and on-site measurements to obtain the optimal dust removal air flow rate in a coal washing plant workshop. When the air flow rate is between 360 and 1260 m³/min, the overall dust concentration in the workshop and the average dust mass concentration in the breathing zone decrease significantly as the air flow rate increases. However, if the air flow rate is too high, this can cause re-entrainment of dust, which will pollute the operation area again. The optimum dust removal airflow for the inlet air was 1260 m³/min. This air flow rate decreases the dust at the height of the breathing zone in the working area, and the dust concentration at the sidewalk in the working area decreases by 58.82%. This air flow rate can act as a reference value for workshop ventilation design to provide a clean and safe production environment for coal miners. Our methodology and results are of value the formulation and development of effective dust control and clean production technologies. © 2024 Elsevier Ltd

关键词： Numerical models

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Study on dust control technology and parameters for a coal washing plant screening workshop based on CFD technology of positive-negative pressure dust removal systems

Study on dust control technology and parameters for a coal w...

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作者： Liu, Qiang Zhu, Zilian Hua, Yun Guo, Lidian College of Safety and Environmental Engineering Shandong University of Science and Technology Shandong Province Qingdao266590 China State Key Laboratory of Mining Disaster Prevention and Control Co-found by Shandong Province and the Ministry of Science and Technology Shandong University of Science and Technology Qingdao266590 China

Large quantities of coal dust are generated during coal screening processes, which spread to the surrounding environment and severely affect air quality and employees' health. Here, we investigated the effectiveness of a self-developed positive- and negative-pressure composite dust removal system in controlling dust pollution in a coal preparation plant screening workshop. The dispersion law of dust pollution under two conditions, with and without this device, was numerically simulated. We then conducted orthogonal experiments to select the optimal position and air volume of the dust removal system device. The research findings indicate that without this system, dust pollution is severe, with an average dust concentration in the breathing zone reaching 86.8 mg/m3, posing a serious threat to workers' safety. After optimizing the dust removal system, the average dust concentration in the breathing zone reduced to 18.4 mg/m3, improving dust removal efficiency by 78.7 % compared to the original condition. © 2024

关键词： Coal dust

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Application of Zoned Cooling technology to Working Face 8th

Application of Zoned Cooling Technology to Working Face

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8th International Conference on Advances in Energy Resources and Environment engineering, ICAESEE 2022

作者： Wang, Haipeng State Key Laboratory of Mining Disaster Prevention and Control Co-Founded By Shandong Province and the Ministry of Science and Technology Shandong University of Science and Technology Shandong Qingdao266590 China College of Mining and Safety Engineering Shandong University of Science and Technology Shandong Qingdao266590 China

ISBN: (纸本)9783031425622

Aimed at the serious high-temperature heat damage on the 1221 long-distance working face in Panyidong Mine, the author calculated the cooling demand of the working face, analyzed the airflow temperature field distribution of the working face, and put forward a zoned cooling technology applied to the 1221 working face. The structural composition, working principle, and equipment selection of the cooling technology were introduced, and the technology was put into practice. The thermal parameters of airflow after cooling were measured on-site, and a similarity simulation was carried out. The results showed that, after the zoned cooling technology was adopted, the measured airflow parameters were basically consistent with the simulated values, the temperature of the working face decreased by about 6 ~ 8 °C on average, and the relative humidity was also reduced greatly, indicating an obvious cooling effect. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Cooling

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