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Alternative Strategy for Development of Dielectric Calcium Copper Titanate‑Based Electrolytes for Low‑Temperature Solid Oxide Fuel Cells

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Nano-Micro Letters 2025年第1期17卷 310-332页

作者： Sajid Rauf Muhammad Bilal Hanif Zuhra Tayyab Matej Veis MAKYousaf Shah Naveed Mushtaq Dmitry Medvedev Yibin Tian Chen Xia Martin Motola Bin Zhu College of Mechatronics and Control Engineering Shenzhen UniversityShenzhen 518060People’s Republic of China Department of Inorganic Chemistry Faculty of Natural SciencesComenius University BratislavaIlkovicova684215 BratislavaSlovakia Energy Storage Joint Research Center School of Energy and EnvironmentSoutheast UniversityNanjing 210096People’s Republic of China Hydrogen Energy Laboratory Ural Federal University620002 EkaterinburgRussia Laboratory of Electrochemical Devices Based on Solid Oxide Proton Electrolytes Institute of High Temperature Electrochemistry620066 EkaterinburgRussia School of Microelectronics Hubei UniversityWuhan 430062People’s Republic of China

The development of low-temperature solid oxide fuel cells(LT-SOFCs)is of significant importance for realizing the widespread application of *** has stimulated a substantial materials research effort in developing high oxide-ion conductivity in the electrolyte layer of *** this context,for the first time,a dielectric material,CaCu_(3)Ti_(4)O_(12)(CCTO)is designed for LT-SOFCs electrolyte application in this *** individual CCTO and its heterostructure materials with a p-type Ni_(0.8)Co_(0.15)Al_(0.05)LiO_(2−δ)(NCAL)semiconductor are evaluated as alternative electrolytes in LT-SOFC at 450–550℃.The single cell with the individual CCTO electrolyte exhibits a power output of approximately 263 mW cm^(-2) and an open-circuit voltage(OCV)of 0.95 V at 550℃,while the cell with the CCTO–NCAL heterostructure electrolyte capably delivers an improved power output of approximately 605 mW cm^(-2) along with a higher OCV over 1.0 V,which indicates the introduction of high hole-conducting NCAL into the CCTO could enhance the cell performance rather than inducing any potential short-circuiting *** is found that these promising outcomes are due to the interplay of the dielectric material,its structure,and overall properties that led to improve electrochemical mechanism in CCTO–***,density functional theory calculations provide the detailed information about the electronic and structural properties of the CCTO and NCAL and their heterostructure CCTO–*** study thus provides a new approach for developing new advanced electrolytes for LT-SOFCs.

关键词： LT-SOFCs Dielectric CaCu_(3)Ti_(4)O_(12) Semiconductor Ni_(0.8)Co_(0.15)Al_(0.05)LiO_(2−δ) Ionic conductivity Heterostructure electrolyte

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Finite element hybridization of port-Hamiltonian systems

arXiv

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arXiv 2023年

作者： Brugnoli, Andrea Rashad, Ramy Zhang, Yi Stramigioli, Stefano ICA Université de Toulouse ISAE–SUPAERO INSA CNRS MINES ALBI UPS Toulouse France Control and Instrumentation Engineering Department King Fahd University of Petroleum and Minerals Saudi Arabia School of Mathematics and Computing Science Guilin University of Electronic Technology Guilin China Robotics and Mechatronics Department University of Twente Netherlands

In this contribution, we extend the hybridization framework for the Hodge Laplacian [Awanou et al., Hybridization and postprocessing in finite element exterior calculus, 2023] to port-Hamiltonian systems describing linear wave propagation phenomena. To this aim, a dual field mixed Galerkin discretization is introduced, in which one variable is approximated via conforming finite element spaces, whereas the second is completely local. The mixed formulation is then hybridized to obtain an equivalent formulation that can be more efficiently solved using a static condensation procedure in discrete time. The size reduction achieved thanks to the hybridization is greater than the one obtained for the Hodge Laplacian as the final system only contains the globally coupled traces of one variable. Numerical experiments on the 3D wave and Maxwell equations illustrate the convergence of the method and the size reduction achieved by the hybridization. © 2023, CC BY-NC-ND.

关键词： Maxwell equations

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Artificial Intelligence and Tactile Healthcare for Mitigating the Impact of COVID-19

IEEE Technology Policy and Ethics

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IEEE Technology Policy and Ethics 2021年第4期6卷 1-7页

作者： Ali Nauman Rashid Ali Yousaf Bin Zikria Sung Won Kim Wireless Information Networking Laboratory (WINLab) Republic of Korea School of Intelligent Mechatronics Engineering Sejong University Republic of Korea Department of Information and Communication Engineering Yeungnam University South Korea Department of Control and Instrumentation Engineering Seoul National University Korea

The COVID-19 epidemic, and the recent related waves of variant outbreaks, have had a significant impact on every field of life. One of the major impacts of COVID is the increased stress on the already exhausted healthcare system. Tactile healthcare is revolutionizing healthcare systems. The 5G and Beyond-5G (B5G) technologies are expected to enable Tactile Healthcare applications, which are time-sensitive and critical. The 5G and B5G communication networks were constructed to support high data rates on an energy-efficient platform, and to provide ultra-reliability and low latency. The use of Reinforcement Learning (RL) algorithms, a type of Machine Learning (ML), can enhance the capability of 5G and B5G networks by optimizing latency and reliability in terms of data delivery. The idea of RL algorithms is to make a system capable of mimicking the human brain and enhancing its abilities. The New Radio (NR) in B5G offers flexible Medium Access control (MAC) frame structures, and scalable numerology. The efficient MAC scheduling approaches are of prime importance for wireless networks. The efficient MAC scheduling protocols and RL algorithms ultimately solve the problems of reliability and latency for Tactile Healthcare applications.

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Resilient Output Containment control of Heterogeneous Multiagent Systems Against Composite Attacks: A Digital Twin Approach

arXiv

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arXiv 2023年

作者： Cui, Yukang Cao, Lingbo Basin, Michael V. Shen, Jun Huang, Tingwen Gong, Xin College of Mechatronics and Control Engineering Shenzhen University Shenzhen518060 China School of Physical and Mathematical Sciences the Autonomous University of Nuevo Leon Mexico College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing211106 China Texas A&M University at Qatar Doha23874 Qatar Department of Mechanical Engineering The University of Hong Kong Pokfulam Road Hong Kong

This paper studies the distributed resilient output containment control of heterogeneous multiagent systems against composite attacks, including denial-of-services (DoS) attacks, false-data injection (FDI) attacks, camouflage attacks, and actuation attacks. Inspired by digital twins, a twin layer (TL) with higher security and privacy is used to decouple the above problem into two tasks: defense protocols against DoS attacks on TL and defense protocols against actuation attacks on cyber-physical layer (CPL). First, considering modeling errors of leader dynamics, we introduce distributed observers to reconstruct the leader dynamics for each follower on TL under DoS attacks. Second, distributed estimators are used to estimate follower states according to the reconstructed leader dynamics on the TL. Third, according to the reconstructed leader dynamics, we design decentralized solvers that calculate the output regulator equations on CPL. Fourth, decentralized adaptive attack-resilient control schemes that resist unbounded actuation attacks are provided on CPL. Furthermore, we apply the above control protocols to prove that the followers can achieve uniformly ultimately bounded (UUB) convergence, and the upper bound of the UUB convergence is determined explicitly. Finally, two simulation examples are provided to show the effectiveness of the proposed control protocols. © 2023, CC BY.

关键词： Directed graphs

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In-Situ Synthesis of Plasmonic Core MIPs on U Bend Optical Fibers for LSPR Sensing of Small Molecule Contaminants in Food and Environment: An Illustration with Bisphenol A

SSRN

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SSRN 2023年

作者： Nag, Pooja Sadani, Kapil Mukherji, Suparna Mukherji, Soumyo Department of Instrumentation and Control Manipal Institute of Technology Manipal Academy of Higher Education Manipal576104 India Department of Biosciences and Bioengineering Indian Institute of Technology Bombay Mumbai400076 India Environmental Science and Engineering Department Indian Institute of Technology Bombay Mumbai400076 India Department of Mechatronics Manipal Institute of Technology Manipal Academy of Higher Education Manipal576104 India

Detection and remediation of emerging water contaminants such as active pharmaceutical ingredients, endocrine disrupting compounds and polyaromatic hydrocarbons is a global challenge. The current study reports a label free and biorecognition element free detection strategy for detection of such organic compounds in aqueous specimen with Bisphenol A (BPA) as a model analyte. A novel in situ molecular imprinting technique on gold nanoparticles (AuNPs), immobilized on U bend optical fibers is demonstrated for localized surface plasmon sensing. The molecularly imprinted polymer film was directly formed on allyl mercaptan modified gold nanoparticles. With an optimized ratio of 1:12:20 of template: monomer: crosslinker, the sensor could detect BPA in the linear range from 0.1 µg/mL to 50 µg/mL (R2=0.956) in water and from 0.5 µg/mL to 100 µg/mL (R2=0.97) in bottled and canned soft, alcoholic and aerated beverages, fruit juices and ice tea with negligible cross sensitivity from possible interferents. This technology is thus of utility to analyze BPA, and similar organic molecules in wastewater, food and beverages. It can thus indicate if the food and water are fit for human consumption. © 2023, The Authors. All rights reserved.

关键词： Phenols

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Microstructure and mechanical properties of Al-12Si and Al-3.5Cu-1.5Mg-1Si bimetal fabricated by selective laser melting

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Journal of Materials Science & Technology 2020年第1期36卷 18-26页

作者： P.Wang C.S.Lao Z.W.Chen Y.K.Liu H.Wang H.Wendrock J.Eckert S.Scudino Additive Manufacturing Institute College of Mechatronics and Control EngineeringShenzhen UniversityNanhai Street 3688518060ShenzhenP.R.China Institute for Complex Materials IFW DresdenHelmholtzstraβe 20D-01069DresdenGermany Guangdong Provincial Key Laboratory ofMicro/Nano Optomechatronics Engineering College of Mechatronics and Control EngineeringShenzhen University Nanhai Street 3688518060ShenzhenP.R.China Erich Schmid Institute of Materials Science Austrian Academy of SciencesJahnstraJie 12A-8700LeobenAustria Department of Materials Science Montanuniversitat LeobenJahnstraJSe 12A-8700LeobenAustria

An Al-12 Si/Al-3.5 Cu-1.5 Mg-1 Si bimetal with a good interface was successfully produced by selective laser melting(SLM).The SLM bimetal exhibits four successive zones along the building direction:an Al-12 Si zone,an interfacial zone,a texture-strengthening zone and an Al-Cu-Mg-Si *** interfacial zone(<0.2 mm thick)displays an increasing size of the cells composed of eutectic Al-Si and a discontinuous cellular microstructure,resulting in the lowest hardness of the four *** texturestrengthening zone(around 0.3 mm thick)shows a remarkable variation of the hardness and<001>fiber *** backscatter diffraction analysis shows that the grains grow gradually from the interfacial zone to the Al-Cu-Mg-Si zone along the building ***,a strong<001>fiber texture develops at the Al-Cu-Mg-Si side of the interfacial zone and disappears gradually along the building *** bimetal exhibits a room temperature yield strength of 267±10 MPa and an ultimate tensile strength of 369±15 MPa with elongation of 2.6±0.1%,revealing the potential of selective laser melting in manufacturing dissimilar materials.

关键词： Selective laser melting Aluminum alloys Bimetals Microstructure Mechanical properties

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A Frequency Up-Conversion Rotational Energy Harvester with Auxetic Structures for High Power Output

SSRN

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SSRN 2022年

作者： Chen, Keyu Fang, Shitong Lai, Zhihui Liao, Wei-Hsin Department of Mechanical and Automation Engineering The Chinese University of Hong Kong Shatin Hong Kong Institute of Intelligent Design and Manufacturing The Chinese University of Hong Kong Shatin Hong Kong College of Mechatronics and Control Engineering Shenzhen University Shenzhen518060 China

Rotational energy harvesters (REH) have been explored to substitute conventional batteries for small electronic sensors. However, there still exists a challenge for rotational energy harvesters to scavenge sufficient energy under low-rotational-frequency excitations. In this paper, we propose a plucking rotational energy harvester with auxetic structures, which utilizes the frequency up-conversion and auxetic structures to enhance the power output of the rotational energy harvesting under low-rotationalfrequency excitations. Finite element simulation is performed to analyze the performance of the proposed rotational energy harvester. The simulation results match well with the experimental ones. When the magnet distance is set to be 2.5 mm, the maximum power output of the auxetic plucking rotational energy harvester (APREH) is found to be 1.43 mW at 1.1 Hz, which is increased by 686% compared with the conventional plain plucking rotational energy harvester (PPREH). In addition, compared with typical plucking rotational energy harvesters, the proposed auxetic plucking rotational energy harvester achieves the highest power output under low-rotational-frequency excitations, which validates the advantage of adopting auxetic structures in plucking rotational energy harvesters. © 2022, The Authors. All rights reserved.

关键词： Energy harvesting

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Deep Reinforcement Learning Enabled Decision-Making for Autonomous Driving at Intersections

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Automotive Innovation 2020年第4期3卷 374-385页

作者： Guofa Li Shenglong Li Shen Li Yechen Qin Dongpu Cao Xingda Qu Bo Cheng Institute of Human Factors and Ergonomics College of Mechatronics and Control EngineeringShenzhen UniversityShenzhen 518060China Department of Mechanical and Mechatronics Engineering University of WaterlooWaterlooON N2L 3G1Canada Department of Civil and Environmental Engineering University of Wisconsin-MadisonMadisonWI 53706USA School of Mechanical Engineering Beijing Institute of TechnologyBeijing 100081China State Key Laboratory of Automotive Safety and Energy School of Vehicle and MobilityTsinghua UniversityBeijing 100084China

Road intersection is one of the most complex and accident-prone traffic scenarios,so it’s challenging for autonomous vehicles(AVs)to make safe and efficient decisions at the *** of the related studies focus on the solution to a single scenario or only guarantee safety without considering driving *** address these problems,this study proposed a deep reinforcement learning enabled decision-making framework for AVs to drive through intersections automatically,safely and *** mapping relationship between traffic images and vehicle operations was obtained by an end-to-end decision-making framework established by convolutional neural *** images collected at two timesteps were used to calculate the relative velocity between *** decision process was employed to model the interaction between AVs and other vehicles,and the deep Q-network algorithm was utilized to obtain the optimal driving policy regarding safety and *** verify the effectiveness of the proposed decision-making framework,the top three accident-prone crossing path crash scenarios at intersections were simulated,when different initial vehicle states were adopted for better generalization *** results showed that the developed method could make AVs drive safely and efficiently through intersections in all of the tested scenarios.

关键词： Autonomous vehicles Driving safety and efficiency Intersection Decision-making Deep reinforcement learning

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The Efficient Synthesis of Pregabalin with Impurity control Using a Continuous Flow System

SSRN

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SSRN 2024年

作者： Yan, Fengfeng Liu, Kailang Chen, An Cui, Sunliang Zhang, Jingwei Zhou, Tao Huang, Jinpei Wang, Fajun Xu, Jianhong Qi, Cheng Institute of Materia Medica College of Pharmaceutical Sciences Zhejiang University Hangzhou310058 China Guangdong Provincial Key Laboratory of Micro/Nano Optomechatronics Engineering College of Mechatronics and Control Engineering Shenzhen University Guangdong Shenzhen518060 China The State Key Laboratory of Chemical Engineering Department of Chemical Engineering Tsinghua University Beijing100084 China College of Life Science China Jiliang University Zhejiang Hangzhou310018 China Shenzhen ZhiWeiTong Technology Co. Ltd Guangdong Shenzhen518071 China

This article developed a microreactor system for the continuous synthesis of Pregabalin. Due to the exceptional heat transfer and mixing capabilities exhibited by the system at the microscale, the Hofmann rearrangement reaction, traditionally requiring multiple sequential steps in batch reactors, can now be efficiently achieved in a consolidated single-step microreactor process. The reaction was executed at a comparatively elevated temperature range of 40-50 °C, and took 5-6 minutes to achieve the yield of over 90%, which was a significant improvement compared to the conventional batch reactor method, requiring 7-8 hours with a yield of 83%. The microreactor system utilized its excellent mass and heat transfer performance to reduce the level of the key impurity to below 0.15% at higher reaction temperatures, meeting the quality requirements for pharmaceutical production. Through experimental research, we determined the effects of reaction conditions like concentration, temperature, and residence time on the reaction rate, as well as key trace impurities. © 2024, The Authors. All rights reserved.

关键词： Batch reactors

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A fish feeding robot prototype using a solar panel and an internet of things – based monitoring system

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AIP Conference Proceedings 2023年第1期2727卷

作者： Abdul Kadir Muhammad Dermawan Center for Mechatronics and Control Systems Mechanical Engineering Department State Polytechnic of Ujung Pandang Indonesia

The purpose of this study is to develop a fish feeding robot prototype using a solar panel and an internet of things – based monitoring system for pond use. The robot prototype presented in this paper consists of a feed storage tank, a feed distribution mechanism, a feed ejection mechanism, an ejector position turning mechanism, a solar panel system for energy sources, an internet of things monitoring system and a base. The three mechanisms used three DC motors as actuators, respectively. An on – off controller with three pulse width modulation (PWM) signals was used to drive the three DC motors for the three mechanisms simultaneously. An internet of things-based monitoring system was designed to monitor feed level in the tank, battery level and status of the robot prototype online. Performances of the robot prototype were examined through laboratory scale experiments. The experimental results revealed that the robot can work consistently.

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