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Application of phononic crystals in modern engineering vibration and noise control, a review

Noise and Vibration Worldwide 2025年第4-5期56卷 224-241页

作者： Huang, Wei Xu, Jian Yao, Yi Zhang, Yongliang Wang, Xin Han, Pengbo SINOMACH Academy of Science and Technology Co. Ltd SINOMACH Research Center of Engineering Vibration Control Technology Beijing100080 China Beijing China CAS Key Laboratory of Mechanical Behavior and Design of Materials Department of Modern Mechanics University of Science and Technology of China Anhui China Key Laboratory of Vibration Control for Key Process Equipment of Major Scientific Infrastructure in the Machinery Industry Beijing China

Phononic crystals are composite materials consisting of periodically distributed inclusions, and this structure enables wave band gaps under specific conditions. This characteristic allows for the suppression of elastic waves within certain frequency ranges, offering a new approach to vibration reduction and noise control. In this study, phononic crystals, with their periodic structure, tunable bandgap properties, topology optimization, and additive manufacturing technology, are reviewed. Some key hot issues, such as low-frequency vibration and noise control, intelligent materials, and tunable bandgap design, are discussed. In the future, phononic crystals will play a significant role in barrier vibration isolation, rail transit vibration isolation, power equipment vibration isolation, precision equipment vibration isolation, noise control, and underground protection engineering. This study constitutes a systematic summary and outlook of phononic crystals in modern engineering vibration and noise control. © The Author(s) 2025.

关键词： Precision engineering

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Geobacter sulfurreducens promoted the biosynthesis of reduced graphene oxide and coupled it for nitrobenzene reduction

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Journal of Environmental Sciences 2024年第4期138卷 458-469页

作者： Shoujuan Zhang Qi Liu Linrui Zhong Jianhong Jiang Xiaozhe Luo Xingxin Hu Qian Liu Yue Lu College of Environmental Science and Engineering Hunan UniversityChangsha 410082China Shenzhen Research Institute Hunan UniversityShenzhen 510082China Key Laboratory of Environment Biology and Pollution Control Hunan UniversityMinistry of EducationChangsha 410082China China Machinery International Engineering Design&Research Institute Co. LtdChangsha 410007China Hunan Engineering Research Center for Water Treatment Process&Equipment Changsha 410007China

In order to explore an efficient and green method to deal with nitrobenzene(NB)pollutant,reduced graphene oxide(r GO)as an electron shuttle was applied to enhance the extracellular electron transfer(EET)process of Geobacter sulfurreducens,which was a typical electrochemically active bacteria(EAB).In this study,r GO biosynthesis was achieved via the reduction of graphene oxide(GO)by *** PCA within 3 ***,the r GOPCA combining system completely reduced 50-200μmol/L of NB to aniline as end product within one *** characterization revealed that PCA cells were partly wrapped by rGO,and therefore the distance of electron transfer between strain PCA and r GO material was ***,the ID/IGof GO,r GO,and r GO-PCA combining system were 0.990,1.293 and 1.31,***,highest currents were observed in r GO-PCA-NB as 12.950μA/-12.560μA at -408 m V/156 m V,attributing to the faster electron transfer efficiency in EET ***,the NB reduction was mainly due to:(I)direct EET process from *** PCA to NB;(II)r GO served as electron shuttle and accelerated electron transfer to NB,which was the main degradation ***,the biosynthesis of r GO via GO reduction by Geobacter promoted the NB removal process,which provided a facile strategy to alleviate the problematic nitroaromatic pollution in the environment.

关键词： Reduced graphene oxide Geobacter Nitrobenzene Removal Extracellular electron transfer

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Tourmaline guiding the electric field and dechlorination pathway of 2,3-dichlorophenol by Desulfitobacterium hafniense

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Journal of Environmental Sciences 2024年第1期135卷 262-273页

作者： Yue Lu Fangyi Liang Fanzhi Qin Linrui Zhong Jianhong Jiang Qi Liu Shoujuan Zhang Ming Yan Changzheng Fan Haoran Dong College of Environmental Science and Engineering Hunan UniversityChangsha 410082China Shenzhen Research Institute Hunan UniverisyShenzhen 510082China Key Laboratory of Environment Biology and Pollution Control Hunan UniversityMinistry of EducationChangsha 410082China China Machinery International Engineering Design&Research Institute Co. Ltd.Changsha 410007China Hunan Engineering Research Center for Water Treatment Process&Equipment Changsha 410007China

The dehalogenation of organohalides has been a research hotspot in bioremediation field;however,the influence of tourmaline,a natural ore that can generate spontaneous electric field,on organohalide-respiring bacteria(OHRB)and their dechlorination process is not well *** this study,the effect and mechanism of tourmaline on the reductive dechlorination of 2,3-dichlorophenol(2,3-DCP)by Desulfitobacterium hafniense DCB-2Twere *** characterization results confirmed that tourmaline had good stability and the optimal dosage of tourmaline was 2.5 g/L,which shortened the total time required for dechlorination reaction to 72 ***,tourmaline amendment also increased the proportion of 2-chlorophenol(2-CP)from 18%to 30%of end products,while that of 3-CP decreased *** theoretical calculations showed that the bond charge of the orthosubstituted chlorine declined from-0.179 to-0.067,and that of meta-substituted chlorine increased from-0.111 to-0.129,which indicated that the spontaneous electric field of tourmaline affected the charge distribution of 2,3-DCP and was more conducive to the generation of ***,tourmaline with the spontaneous electric field affected the reductive dechlorination pathway of Desulfitobacterium,and the tourmaline-OHRB combining system might serve as a novel strategy for the bioremediation of environments polluted with chlorinated phenols.

关键词： Reductive dechlorination Desulfitobacterium hafniense Tourmaline Electric field 2 3-dichlorophenol

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Review on electrochemical carbon dioxide capture and transformation with bipolar membranes

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Chinese Chemical Letters 2023年第8期34卷 114-129页

作者： Jinyun Xu Guoqiang Zhong Minjing Li Di Zhao Yu Sun Xudong Hu Jiefang Sun Xiaoyun Li Wenju Zhu Ming Li Ziqi Zhang Yu Zhang Liping Zhao Chunming Zheng Xiaohong Sun School of Chemical Engineering Tianjin Key Laboratory of Green Chemical Technology and Process EngineeringState Key Laboratory of Separation Membrane and Membrane ProcessesTiangong UniversityTianjin 300387China School of Materials Science and Engineering Key Laboratory of Advanced Ceramics and Machining TechnologyMinistry of EducationTianjin UniversityTianjin 300072China Beijing Key Laboratory of Diagnostic and Traceability Technologies for Food poisoning Beijing Center for Disease Prevention and ControlBeijing 100013China Advanced Materials Research Laboratory CNOOC Tianjin Chemical Research and Design InstituteTianjin 300131China

Anthropogenic carbon dioxide(CO_(2))emission from the combustion of fossil fuels aggravates the global greenhouse *** implementation of CO_(2)capture and transformation technologies have recently received great attention for providing a pathway in dealing with global climate *** these technologies,electrochemical CO_(2)capture technology has attracted wide attention because of its environmental friendliness and flexible operating *** membranes(BPMs)are considered as one of the key components in electrochemical devices,especially for electrochemical CO_(2)reduction and electrodialysis *** create an alkaline environment for CO_(2)capture and a stable pH environment for electrocatalysis on a single *** key to CO_(2)capture in these devices is to understand the water dissociation mechanism occurring in BPMs,which could be used for optimizing the operating conditions for CO_(2)capture and *** this paper,the references and technologies of electrochemical CO_(2)capture based on BPMs are reviewed in detail,thus the challenges and opportunities are also discussed for the development of more efficient,sustainable and practical CO_(2)capture and transformation based on BPMs.

关键词： Bipolar membranes Carbon dioxide Electrochemical capture Transformation CO_(2)reduction Electrodialysis devices Water dissociation

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NO reduction by carbon-based gases based on coal gasification fractions:NO reduction intermediate identification and kinetic analysis

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Frontiers of Environmental Science & Engineering 2025年第3期19卷 175-189页

作者： Xiang Zhang Jian Tian Tanghui Hu Guangyong Yue Xianlong Liu Wen Zhou Xiaohong Liu Xinye Wang Ministry-of-Education Key Laboratory for the Green Preparation and Application of Functional Materials Hubei Engineering Research Center for Green Industrialization Technology of Industrial WasteSchool of Materials Science and EngineeringHubei UniversityWuhan 430062China Hubei Huda Tianshu New Energy Materials Industrial Research and Design Institute Co. Ltd.Wuhan 430062China Wuhan Tianshu Dust Removal Equipment Co. Ltd.Wuhan 430062China Engineering Laboratory for Energy System Process Conversion&Emission Control Technology of Jiangsu Province School of Energy and Mechanical EngineeringNanjing Normal UniversityNanjing 210042China

Combining pulverized coal gasifiers with cement kiln production is promising for application in low-cost and efficient NO *** paper presents a pulverized coal gasifier catalytic denitration technique and investigates the homogeneous reduction(by CO and CH_(4))and heterogeneous catalytic reduction(by coke,CaO,MgO,and Fe_(2)O_(3))of NO.A combination of Chemkin simulations and fixed-bed experiments is used to elucidate the reaction pathways and key intermediates of NO reduction by carbon-based *** addition,the activation energies for different catalyst combinations were analyzed via reaction *** results demonstrate that the presence of small amounts of O_(2) inhibits NO reduction by CO but promotes NO reduction by CH_(4).The NCO·radical is essential for the NO reduction process,and the generation of this radical depends on the CH_(4) cleavage intermediate and O·*** and Fe_(2)O_(3) exhibit more significant catalytic effects on NO reduction by carbon-based gases than the other catalysts *** presence of a small amount of O_(2) in the reacting gas mixtures facilitates the NO reduction *** activation energy is reduced to 1.02 kJ/mol,and the NO conversion reaches 99.80%when the catalyst is C+CaO+MgO+Fe_(2)O_(3) and the gas composition is CO+CH_(4)+O_(2).This work provides theoretical support and data recommendations for the use of pulverized coal gasifiers for the denitrification of cement kilns.

关键词： Carbon-based gas Catalytic denitration Coke Kinetic analysis Reaction mechanism

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Cross-domain migration design of Yi lacquerware patterns on leather bags based on digital technology

Cross-domain migration design of Yi lacquerware patterns on ...

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2022 International Conference on Advanced Manufacturing Technology and Manufacturing Systems, ICAMTMS 2022

作者： Xu, Han Zhang, Yudian Lu, Zhengyang Chen, Han School of design Jiangnan University Wuxi214122 China School of fashion design and engineering Zhejiang Sci-Tech University Hangzhou310018 China Key Laboratory of Advanced Process Control for Light Industry Jiangnan University Wuxi214122 China

ISBN: (纸本)9781510656840

The Yi lacquerware pattern is abundant in content and exquisite in design. It has extremely strong regional characteristics and value connotations. Through field investigation, literature research and physical research, this study analyzes and extracts the pattern theme, morphological structure and typical color of Yi lacquerware from the perspective of design. We use morphological displacement method to redesign the extracted basic pattern and combine the arrangement rules to create a derivative pattern. We apply the derivative pattern to a modern women’s leather bag design, modeling production and simulation presentation through 3D digital software. Finally, we evaluate the design results through eye-movement experiments. The results show that the design method proposed in this research can produce leather bag products with ethnic characteristics while meeting the aesthetic perception of modern women. The cross-domain migration of Yi lacquerware patterns on leather bags can bring new artistic connotations and cultural meanings to contemporary leather products. © 2022 SPIE.

关键词： Leather

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Dynamic Data Reconciliation for Improving the Model Prediction Results based on Just-in-time Kernel Learning

Dynamic Data Reconciliation for Improving the Model Predicti...

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2022 Chinese Automation Congress, CAC 2022

作者： Zhu, Wangwang Zhang, Zhengjiang Liu, Yi Zhejiang University of Technology Institute of Process Equipment and Control Engineering Hangzhou310023 China Wenzhou University National-Local Joint Engineering Laboratory for Digitalize Electrical Design Technology Wenzhou325035 China

ISBN: (纸本)9781665465335

Many process variables in chemical production have distributed characteristics, and traditional hardware and offline measurements to monitor these distributed variables cannot meet the requirements of modern production. As an alternative to hardware measurements, soft sensors are increasingly used in the process industries. In order to realize online monitoring of distributed process outputs, a soft sensor model based on just-in-time kernel learning (JKL) is developed in this paper. Furthermore, for the prediction error of the model, dynamic data reconciliation (DDR) is proposed to improve the prediction results of the JKL model. DDR integrates inaccurate measurement information and model prediction information, and uses the Bayesian formula to obtain the optimal estimated outputs. Finally, DDR is used to improve the molecular weight distribution (MWD) prediction results in polymerization processes to verify its effectiveness. The results show that the proposed method can further improve the accuracy of the predicted outputs of the JKL models. © 2022 IEEE.

关键词： Forecasting

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Water Content Measurement Method Based on RF Dual-Parallel-Antenna Sensor

Water Content Measurement Method Based on RF Dual-Parallel-A...

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IEEE Instrumentation and Measurement Technology Conference

作者： Ying Xu Shuo Liu Chao Yuan Zheng Meng Rong-Ji Zuo Liang Chen Tianjin Key Laboratory of Process Measurement and Control School of Electrical and Information Engineering Tianjin University Doqing Oilfield Design Institute Co. LTD. Tianjin China

ISBN: (数字)9798350380903

ISBN: (纸本)9798350380910

To address the challenge of measuring the water content of oil-water two-phase flow over the entire range, both cost-effectively and reliability, this study developed an RF sensor utilizing dual parallel antenna electrodes. The sensor configuration includes two parallel electrodes vertically inserted into the pipeline: one serving as the transmitting electrode for emitting excitation signals, and the other as the receiving electrode for detecting signals. The precise measurement of 0-100 % water content in oil-water two-phase flow is achieved by analyzing the attenuation changes of electromagnetic waves passing through the oil-water mixture. The sensor's propagation parameters, specifically the S21 amplitude and phase, were simulated and analyzed using COMSOL Multiphysics software, and the simulation results were validated through dynamic experiments. The water content in the range of 0~30% is based on the normalized phase value at 0.58 GHz, and the water content in the range of 40~100 % is based on the normalized relative frequency shift parameter of the resonance peak from 220 MHz to 420 MHz, so as to realize the prediction of the full-range water content model. The model exhibited an average absolute deviation of 1.16%, indicating the proposed sensor's feasibility for measuring water content.

关键词： Antenna measurements Electrodes Radio frequency Simulation Resonant frequency Predictive models Resonance

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Dynamic Data Reconciliation for Improving the Forecasting Performance of Wind Power based on Long Short-term Memory

Dynamic Data Reconciliation for Improving the Forecasting Pe...

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2023 China Automation Congress, CAC 2023

作者： Zhu, Wangwang Zhang, Ying Zhou, Weihua Zhang, Zhengjiang Liu, Yi Institute of Process Equipment and Control Engineering Zhejiang University of Technology Hangzhou310023 China Taizhou Vocational and Technical College Department of Mechanical and Electrical Engineering Taizhou318000 China Wenzhou University National-Local Joint Engineering Laboratory for Digitalize Electrical Design Technology Wenzhou325035 China

ISBN: (纸本)9798350303759

As one of the most promising power generation methods, effective forecast of wind power generation for uncertain environment contributes to the planning and operation of power systems. In this work, the long short-term memory (LSTM) network is developed for wind power forecasting. Then, a dynamic data reconciliation (DDR) method is proposed for suppressing sensor noise and improve the forecasting performance. LSTM extends the recurrent neural networks (RNN) through gate functions, which is a popular RNN variant with state memory. However, the modeling datasets with Gaussian (or non-Gaussian) sensor noise may degrade the expected performance of LSTM. The proposed DDR performs Bayesian estimation of the real information by extracting useful parts of the two process-related information, and the relatively accurate data obtained from DDR is used to improve the accuracy of modeling. Experimental results verify that the LSTM model with DDR is less affected by Gaussian or non-Gaussian sensor noise, showing a better wind power forecasting performance. © 2023 IEEE.

关键词： Long short-term memory

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Nonlinear industrial process fault diagnosis with latent label consistency and sparse Gaussian feature learning

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Journal of Central South University 2022年第12期29卷 3956-3973页

作者： LI Xian-ling ZHANG Jian-feng ZHAO Chun-hui DING Jin-liang SUN You-xian Science and Technology on Thermal Energy and Power Laboratory Wuhan 2nd Ship Design and Research InstituteWuhan 430205China State Key Laboratory of Industrial Control Technology College of Control Science and EngineeringZhejiang UniversityHangzhou 310027China State Key Laboratory of Synthetical Automation for Process Industries(Northeastern University) Shenyang 110819China

With the increasing complexity of industrial processes, the high-dimensional industrial data exhibit a strong nonlinearity, bringing considerable challenges to the fault diagnosis of industrial processes. To efficiently extract deep meaningful features that are crucial for fault diagnosis, a sparse Gaussian feature extractor(SGFE) is designed to learn a nonlinear mapping that projects the raw data into the feature space with the fault label dimension. The feature space is described by the one-hot encoding of the fault category label as an orthogonal basis. In this way, the deep sparse Gaussian features related to fault categories can be gradually learned from the raw data by SGFE. In the feature space,the sparse Gaussian(SG) loss function is designed to constrain the distribution of features to multiple sparse multivariate Gaussian distributions. The sparse Gaussian features are linearly separable in the feature space, which is conducive to improving the accuracy of the downstream fault classification task. The feasibility and practical utility of the proposed SGFE are verified by the handwritten digits MNIST benchmark and Tennessee-Eastman(TE) benchmark process,respectively.

关键词： nonlinear fault diagnosis multiple multivariate Gaussian distributions sparse Gaussian feature learning Gaussian feature extractor

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