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Reconfiguring confined magnetic colloids with tunable fluid transport behavior

National Science Review 2021年第5期8卷 147-157页

作者： Zhizhi Sheng Mengchuang Zhang Jing Liu Paolo Malgaretti Jianyu Li Shuli Wang Wei Lv Rongrong Zhang Yi Fan Yunmao Zhang Xinyu Chen Xu Hou State Key Laboratory of Physical Chemistry of Solid Surfaces College of Chemistry and Chemical EngineeringXiamen University Collaborative Innovation Center of Chemistry for Energy Materials Xiamen University Department of Physics Research Institute for Biomimetics and Soft MatterFujian Provincial Key Laboratory for Soft Functional Materials ResearchJiujiang Research InstituteCollege of Physical Science and TechnologyXiamen University Max Planck Institute for Intelligent Systems IV Institute for Theoretical Physics University of Stuttgart Department of Mechanical Engineering McGill University Department of Biomedical Engineering McGill University Tan Kah Kee Innovation Laboratory

Collective dynamics of confined colloids are crucial in diverse scenarios such as self-assembly and phase behavior in materials science, microrobot swarms for drug delivery and microfluidic control. Yet,fine-tuning the dynamics of colloids in microscale confined spaces is still a formidable task due to the complexity of the dynamics of colloidal suspension and to the lack of methodology to probe colloids in confinement. Here, we show that the collective dynamics of confined magnetic colloids can be finely tuned by external magnetic fields. In particular, the mechanical properties of the confined colloidal suspension can be probed in real time and this strategy can be also used to tune microscale fluid transport. Our experimental and theoretical investigations reveal that the collective configuration characterized by the colloidal entropy is controlled by the colloidal concentration, confining ratio and external field strength and direction. Indeed, our results show that mechanical properties of the colloidal suspension as well as the transport of the solvent in microfluidic devices can be controlled upon tuning the entropy of the colloidal suspension. Our approach opens new avenues for the design and application of drug delivery, microfluidic logic, dynamic fluid control, chemical reaction and beyond.

关键词： confined magnetic colloids entropy pressure threshold fluid transport liquid gating technology

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Cochlea-Inspired Tonotopic Resonators

SSRN

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SSRN 2022年

作者： Dal Poggetto, Vinìcius F. Bosia, Federico Urban, David Torgensen, Jan Pugno, Nicola M. Gliozzi, Antonio S. Laboratory for Bio-inspired Bionic Nano Meta Materials & Mechanics Department of Civil Environmental and Mechanical Engineering University of Trento Trento38123 Italy DISAT Politecnico di Torino Torino10129 Italy Department of Electronic Systems Norwegian University of Science and Technology TrondheimNO-7491 Norway State Materials Testing Laboratory for Mechanical Engineering Technical University of Munich Boltzmannstrasse 15 Garching Germany School of Engineering and Materials Science Queen Mary University of London Mile End Road LondonE1 4NS United Kingdom

The cochlea has long been the subject of investigation in various research fields due to its intriguing spiral architecture and unique sensing characteristics. One of its most interesting features is tonotopy, the ability to sense acoustic waves at different spatial locations based on their frequency content. In this work, we propose a novel design for a tonotopic resonator, based on a cochlea-inspired spiral, which can discriminate the frequency content of elastic waves without the use of sub-wavelength resonators. The structure is the result of an optimization process to display a uniform distribution of displacement maxima along its centreline for frequencies spanning nearly a two-decade range. Numerical simulations are performed to demonstrate the concept and experimental measurements to validate it on a 3D printed structure. The resulting frequency-dependent distribution is also shown to be a viable means to discriminate signals with various frequency components. We also show that for appropriate parameter ranges, the tonotopic behaviour can be inverted, i.e., lower frequencies can be made to concentrate in narrower regions, as happens in the real cochlea. The harnessed tonotopic features can be used as a fundamental principle to design structures with applications in areas such as non-destructive testing and vibration attenuation. © 2022, The Authors. All rights reserved.

关键词： Resonators

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Design and characterization of cochlea-inspired tonotopic resonators

arXiv

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arXiv 2022年

作者： Dal Poggetto, Vinícius F. Bosia, Federico Urban, David Torgensen, Jan Pugno, Nicola M. Gliozzi, Antonio S. Laboratory for Bio-inspired Bionic Nano Meta Materials & Mechanics Department of Civil Environmental and Mechanical Engineering University of Trento Trento38123 Italy DISAT Politecnico di Torino Torino10129 Italy Department of Electronic Systems Norwegian University of Science and Technology TrondheimNO-7491 Norway State Materials Testing Laboratory for Mechanical Engineering Technical University of Munich Boltzmannstrasse 15 Garching Germany School of Engineering and Materials Science Queen Mary University of London Mile End Road LondonE1 4NS United Kingdom

The cochlea has long been the subject of investigation in various research fields due to its intriguing spiral architecture and unique sensing characteristics. One of its most interesting features is the ability to sense acoustic waves at different spatial locations, based on their frequency content. In this work, we propose a novel design for a tonotopic resonator, based on a cochlea-inspired spiral. The resulting structure was subjected to an optimization process to exhibit out-of-plane vibration modes with mean out-of-plane displacement maxima distributed along its centerline spanning nearly a two-decade frequency range. Numerical simulations are performed to demonstrate the concept, which is also confirmed experimentally on a 3D printed structure. The obtained frequency-dependent distribution is shown to be a viable source of information for the discrimination of signals with various frequency components. The harnessed tonotopic features can be used as a fundamental principle to design structures with applications in areas such as non-destructive testing and vibration © 2022, CC BY-NC-ND.

关键词： Resonators

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0d/2d Z-Schemed Carbon Nitride Quantum Dots/Bi2moo6-X with Enhanced Carriers’ Separation Efficiency Toward Oxidation Coupling of Amines Under Ambient Conditions

SSRN

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SSRN 2022年

作者： Yang, Xiaolong Du, Yujie Guo, Qi Wu, Yuning Zhang, Kaisheng Duan, Liqin Zhang, Lixue Tang, Hua Shang, Jianpeng Peng, Yanhua Li, Zhuo Wang, Xudong School of Chemistry and Chemical Engineering State Key Laboratory of Bio-fibers and Eco-textiles Collaborative Innovation Center of Shandong Marine Bio-based Fibers and Ecological textiles Qingdao University 308 NingXia Road Qingdao266071 China Environmental Materials and Pollution Control Laboratory Institute of Solid State Physics HFIPS Chinese Academy of Sciences Hefei230031 China CAS Key Laboratory of Marine Ecology and Environmental Sciences Institute of Oceanology Chinese Academy of Sciences Qingdao266071 China School of Environmental Science and Engineering Qingdao University Qingdao266071 China Department of Chemistry and Chemical Shanxi Datong University Datong037009 China

Organic synthesis driven by solar energy is receiving extensive attention due to its inherent merits like higher target product selectivity as well as milder reaction condition. While sluggish photoinduced charge carriers’ separation kinetic severely limited its utilization efficiency, leading to inefficient catalytic performance or energy-consuming reaction conditions. Assembling 0D/2D Z-schemed semiconductor nano-heterojunction would be a promising candidate for solving such problem. Herein, 0D/2D carbon nitride quantum dots (CNQDs)/Bi2MoO6-x (BMO-OD) was devised and synthesized by facile NaBH4-mediated hydrothermal method. The CNQDs/BMO-OD exhibited superior catalytic activity toward amines oxidation coupling under ambient conditions. Broad substrates suitability as well as excellent photochemical stability implies it would be a robust alternative amines oxidation coupling photocatalyst under mild conditions. The superior photocatalytic performance is attributed to expeditious photoinduced charge carriers’ separation and transfer of Z-schemed heterostructures and unique multipoint contact interface of 0D/2D. Scavenger experiments and ESR results demonstrates h+ and •O2- radicals play a major role in aerobic conditions while only h+ paly predominant role in anerobic conditions. The design and synthesis of 0D/2D CNQDs/BMO-OD Z-scheme heterostructures would be beneficial for boosting photoinduced carriers’ separation kinetic, thus promoting the photocatalytic oxidation coupling of amines under mild conditions. © 2022, The Authors. All rights reserved.

关键词： Carbon nitride

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Design of the PID temperature controller for an alkaline electrolysis system with time delays

arXiv

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arXiv 2022年

作者： Qi, Ruomei Li, Jiarong Lin, Jin Song, Yonghua Wang, Jiepeng Cui, Qiangqiang Qiu, Yiwei Tang, Ming Wang, Jian State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing China Tsinghua-Sichuan Energy Internet Research Institute Chengdu China Department of Electrical and Computer Engineering University of Macau China School of Materials Science and Engineering Shanghai University Shanghai China Purification Equipment Research Institute of CSIC Handan China College of Electrical Engineering Sichuan University Chengdu China

Electrolysis systems use proportional-integral-derivative (PID) temperature controllers to maintain stack temperatures around set points. However, heat transfer delays in electrolysis systems cause manual tuning of PID temperature controllers to be time-consuming, and temperature oscillations often occur. This paper focuses on the design of the PID temperature controller for an alkaline electrolysis system to achieve fast and stable temperature control. A thermal dynamic model of an electrolysis system is established in the frequency-domain for controller designs. Based on this model, the temperature stability is analysed by the root distribution, and the PID parameters are optimized considering both the temperature overshoot and the settling time. The performance of the optimal PID controllers is verified through experiments. Furthermore, the simulation results show that the before-stack temperature should be used as the feedback variable for small lab-scale systems to suppress stack temperature fluctuations, and the after-stack temperature should be used for larger systems to improve the economy. This study is helpful in ensuring the temperature stability and control of electrolysis systems. Copyright © 2022, The Authors. All rights reserved.

关键词： Three term control systems

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Thermal Modelling and controller Design of an Alkaline Electrolysis System under Dynamic Operating Conditions

arXiv

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arXiv 2022年

Thermal management is vital for the efficient and safe operation of alkaline electrolysis systems. Traditional alkaline electrolysis systems use simple proportional-integral-differentiation (PID) controllers to maintain the stack temperature near the rated value. However, in renewable-to-hydrogen scenarios, the stack temperature is disturbed by load fluctuations, and the temperature overshoot phenomenon occurs which can exceed the upper limit and harm the stack. This paper focuses on the thermal modelling and controller design of an alkaline electrolysis system under dynamic operating conditions. A control-oriented thermal model is established in the form of a third-order time-delay process, which is used for simulation and controller design. Based on this model, we propose two novel controllers to reduce temperature overshoot: one is a current feed-forward PID controller (PID-I), the other is a model predictive controller (MPC). Their performances are tested on a lab-scale system and the experimental results are satisfying: the temperature overshoot is reduced by 2.2◦C with the PID-I controller, and no obvious overshoot is observed with the MPC controller. Furthermore, the thermal dynamic performance of an MW-scale alkaline electrolysis system is analyzed by simulation, which shows that the temperature overshoot phenomenon is more general in large systems. The proposed method allows for higher temperature set points which can improve system efficiency by 1%. © 2022, CC BY.

关键词： controllers

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A Generalized Probabilistic Monitoring Model with Both Randomand Sequential Data

arXiv

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arXiv 2022年

作者： Yu, Wanke Wu, Min Huang, Biao Lu, Chengda The School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China The Department of Chemical and Materials Engineering University of Alberta EdmontonABT6G 2G6 Canada

Many multivariate statistical analysis methods and their corresponding probabilistic counterparts have been adopted to develop process monitoring models in recent decades. However, the insightful connections between them have rarely been studied. In this study, a generalized probabilistic monitoring model (GPMM) is developed with both random and sequential data. Since GPMM can be reduced to various probabilistic linear models under specific restrictions, it is adopted to analyze the connections between different monitoring methods. Using expectation maximization (EM) algorithm, the parameters of GPMM are estimated for both random and sequential cases. Based on the obtained model parameters, statistics are designed for monitoring different aspects of the process system. Besides, the distributions of these statistics are rigorously derived and proved, so that the control limits can be calculated accordingly. After that, contribution analysis methods are presented for identifying faulty variables once the process anomalies are detected. Finally, the equivalence between monitoring models based on classical multivariate methods and their corresponding probabilistic graphic models is further investigated. The conclusions of this study are verified using a numerical example and the Tennessee Eastman (TE) process. Experimental results illustrate that the proposed monitoring statistics are subject to their corresponding distributions, and they are equivalent to statistics in classical deterministic models under specific restrictions. Copyright © 2022, The Authors. All rights reserved.

关键词： Process monitoring

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Photocatalytic Co2 Cycloaddition Over Highly Efficient W18o49-Based Composites: An Economic and Ecofriendly Choice

SSRN

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SSRN 2023年

作者： Cheng, Ruolin Wang, Anhu Sang, Shuxun Liang, Huagen Liu, Shiqi Tsiakaras, Panagiotis Jiangsu Key Laboratory of Coal-based Greenhouse Gas Control and Utilization Carbon Neutrality Institute China University of Mining and Technology Jiangsu Xuzhou221008 China School of Materials Science and Physics China University of Mining and Technology Xuzhou221008 China Laboratory of Electrochemical Devices based on Solid Oxide Proton Electrolytes Institute of High Temperature Electrochemistry RAS Yekaterinburg620990 Russia Laboratory of Materials and Devices for Electrochemical Power Industry Ural Federal University 19 Mira Str. Yekaterinburg620002 Russia Laboratory of Alternative Energy Conversion Systems Department of Mechanical Engineering School of Engineering University of Thessaly Pedion Areos 38834 Greece

The CO2 cycloaddition of epoxides is a highly attractive long-term carbon fixation strategy, but harsh reaction conditions and expensive catalytic materials limit its industrial application. Herein, low-cost and highly efficient W18O49-based composites were constructed by in-situ solvothermal synthesis. It is found that W18O49/g-C3N4 composites exhibit the highest yield of 74% (271 mmol g-1 h-1) in the probing reaction of styrene carbonate production. The physicochemical characterizations indicate that photocatalysis plays a fundamental role in this reaction by promoting the activation of CO2 and styrene oxide. The crucial role of photogenerated electrons and Lewis acid-base sites is confirmed. In this work, a novel catalyst selection to produce cyclic carbonate under ambient conditions is presented. © 2023, The Authors. All rights reserved.

关键词： Styrene

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Process-informed design of tailor-made sorbent materials for energy efficient carbon capture (PrISMa) 15

Process-informed design of tailor-made sorbent materials for...

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15th Greenhouse Gas control Technologies Conference, GHGT 2021

作者： Garcia, Susana Smit, Berend Reimer, Jeffrey A. Anantharaman, Rahul Bardow, André School of Engineering and Physical Sciences Heriot-Watt University EdinburghEH14 4AS United Kingdom LausanneCH-1015 Switzerland Department of Chemical and Biomolecular Engineering University of California Berkeley BerkeleyCA United States Materials Science Division Lawrence Berkeley National Laboratory BerkeleyCA United States SINTEF Energy Research Sem Sælandsvei 11 TrondheimNO-7465 Norway Energy and Process Systems Engineering ETH Zurich Zurich Switzerland

The PrISMa ("Process-Informed designed of tailor-made sorbent materials for energy efficient carbon capture") project is an international effort funded through the ACT programme (Accelerating CCS Technologies, Horizon2020 Project No 294766). It accelerates the transition of energy and industrial sectors to a low-carbon economy by developing a technology platform to tailor-make cost-efficient carbon capture solutions for a range of different CO2 sources and CO2 use/destinations. This platform will guarantee an optimal separation in terms of an effective carbon price (ECP) that makes a particular process economically viable and environmentally beneficial. To achieve this aim, PrISMa integrates materials and process design, supported by computational materials genomic approaches, life cycle analysis, machine-learning, high-throughput material synthesis and characterization, device-performance testing, value chain analysis and systematic process design. In addition, PrISMa aims to initiate a systematic thinking about efficient solutions to mitigate CO2 emissions from different local CO2 sources that are optimal for a specific local setting. In such a setting the impact of PrISMa will be significant as the need for tailor-made solutions will be increasingly important if CO2 mitigation at the local level becomes the norm. The PrISMa platform allows for high-throughput screening of materials to maximise their impact, enables the design of efficient pilot-scale test facilities with improved processes under real conditions and, decreases the time to market of affordable, cost-competitive, low environmental impact, and resource-efficient advanced capture technologies. Through the integration of materials design, process design and environmental considerations, we change the paradigm on how novel materials are developed for carbon capture applications. © 2021 15th Greenhouse Gas control Technologies Conference 2021, GHGT 2021. All Rights Reserved.

关键词： Genome

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Transfer Learning-motivated Intelligent Fault Diagnosis Designs: A Survey, Insights, and Perspectives

TechRxiv

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TechRxiv 2022年

作者： Chen, Hongtian Luo, Haoyuan Huang, Biao Jiang, Bin Kaynak, Okyay The Department of Chemical and Materials Engineering University of Alberta EdmontonABT6G 1H9 Canada The Department of Control Science and Engineering Harbin Institute of Technology Harbin150001 China College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing211106 China Jiangsu Key Laboratory of Internet of Things and Control Technologies Nanjing University of Aeronautics and Astronautics China Turkish Academy of Sciences Turkey Ton Duc Thang University Viet Nam

Over the last decade, transfer learning has attracted a great deal of attention as a new learning paradigm, based on which fault diagnosis (FD) approaches have been intensively developed to improve the safety and reliability of modern automation systems. Because of inevitable factors such as the varying work environment, performance degradation of components, and heterogeneity among similar automation systems, the FD method having long-term applicabilities becomes attractive. Motivated by these facts, transfer learning has been an indispensable tool that endows the FD methods with self-learning and adaptive abilities. On the presentation of basic knowledge in this field, a comprehensive review of transfer learning-motivated FD methods, whose two subclasses are developed based on knowledge calibration and knowledge compromise, is carried out in this survey paper. Finally, some open problems, potential research directions, and conclusions are highlighted. Different from the existing reviews of transfer learning, this survey focuses on how to utilize knowledge specifically for the FD tasks, based on which three principles and a new classification strategy of transfer learning-motivated FD techniques are also presented. We hope this work will constitute a timely contribution to transfer learning-motivated techniques regarding the FD topic. © 2022, CC BY.

关键词： Failure analysis

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