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Chemical incorporation of SiO_(2) into TiO_(2) layer by green plasma enhancer and quencher agents for synchronized improvements in the protective and bioactive properties

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Nano Materials Science 2024年第5期6卷 596-610页

作者： Mosab Kaseem Ananda Repycha Safira Mohammad Aadil Han-Choel Choe Corrosion and Electrochemistry Laboratory Department of Nanotechnology and Advanced Materials EngineeringSejong UniversitySeoul05006South Korea Advanced Functional Surface and Biomaterials Research Lab Department of Dental Materials and Research Center of Surface Control for Oral Tissue Regeneration(BRL Center of NRF)Convergence Research Center for Treatment of Oral Soft Tissue Disease(MRC)College of DentistryChosun UniversityGwangju61452South Korea

This study explores the dynamic interaction between environmentally sustainable plasma enhancer and quencher agents during the incorporation of SiO_(2) into a TiO_(2) layer,with the primary objective of simultaneously augmenting protective and bioactive *** enhancement is realized through the synergistic utilization of Tetraethyl orthosilicate(TE)and Stevia(ST)within a plasma-assisted oxidation *** achieve this goal,Ti–6Al–4V alloy underwent oxidation in an electrolyte solution containing acetate-glycerophosphate,with the addition of TE and ST separately and in ***,as a silicon oxide(SiO_(2))precursor,facilitates the creation of a calcium-rich,rough,porous layer by undergoing hydrolysis to generate silanol groups(Si–OH),which subsequently condense into silicon-oxygen-silicon(Si–O–Si)bonds,resulting in SiO_(2) *** contrast,ST acts as a plasma quencher,absorbing highly reactive plasma species during the oxidation process,reducing energy levels,and diminishing sparking *** combination of TE and ST results in moderate sparking,balancing Stevia's quenching effect and TE's sparking *** a result,this coating exhibits enhanced corrosion resistance and bioactivity compared to using either ST or TE *** study highlights the potential of this synergistic approach for advanced TiO_(2)-based coatings.

关键词： Ti-6Al-4V alloy Plasma quencher Hydrolysis Corrosion Bioactivity

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Nanoparticle Distribution in Compression Ignition Engines Using Rapeseed Methyl Ester

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Energy engineering 2025年第4期122卷 1249-1264页

作者： Hayder A.Dhahad Miqdam T.Chaichan Mohammed A.Fayad Hasanain A.Abdul Wahhab T.Magrites Mechanical Engineering Department University of Technology-IraqBaghdad10001Iraq Energy and Renewable Energies Technology Centre University of Technology-IraqBaghdad10001Iraq Training andWorkshop Center University of Technology-IraqBaghdad10001Iraq Centre for Advanced Powertrain and Fuels Research School of Engineering and Design Brunel UniversityLondonUB 83PHUK

One of the most important of these emissions is fine particulate matter,which is a harmful emission of diesel engines,leading to the imposition of strict ***,with its high oxygen content,is an effective alternative to significantly reduce these *** this study,rapeseed methyl ester(RME)was used as a diesel engine fuel and the emitted particulate matter was comparedwith ultra-lowsulfur diesel(ULSD).Inmost experimental studies,the emission of soot *** this work,the effects of injection timing,injection pressure(IP),and engine load on fine particulate matter in both nucleation and accumulation modes were *** results show that IP increases the number of particles in the accumulation mode while the number of particles in the crystallization mode is higher for rapeseed methyl ester(RME)than for ultra-low sulfur diesel(ULSD).Conversely,the formation rates of particles in the accumulationmode are higher for *** concentration numbers(CCN)are generally higher for RME in crystallization mode but higher for ULSD in accumulation *** the IP reduces the CCN *** particle size in crystallizationmode reaches a maximum of 22 nm at IPs of 800 and 1000 bar but decreases to 15 nm at 1200 *** fine particles fall in the 5–100 nm diameter *** engine loads reduce the particle size distribution in nucleationmode for both fuels,with a slight increase in particle size in *** concluded that the use of rapeseed methyl ester as an engine fuel benefits the environment and improves air quality due to the significant reduction in the size,number,and concentration of nano-soot particles and total particles emitted from the engine.

关键词： Injection pressure injection timing nucleation and accumulation particulate matter premixed burn smoke number

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Time-Varying Formation Tracking control of Heterogeneous Multi-Agent Systems With Intermittent Communications and Directed Switching Networks

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IEEE/CAA Journal of Automatica Sinica 2025年第1期12卷 294-296页

作者： Yuhan Wang Zhuping Wang Hao Zhang Huaicheng Yan the Shanghai Research Institute for Intelligent Autonomous Systems Tongji University the National Key Laboratory of Autonomous Intelligent Unmanned Systems the Frontiers Science Center for Intelligent Autonomous System of Ministry of Education the College of Electronic and Information Engineering the Department of Control Science and Engineering Tongji University the Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education the School of Information Science and Engineering East China University of Science and Technology

Dear Editor,This letter is concerned with the problem of time-varying formation tracking for heterogeneous multi-agent systems(MASs) under directed switching networks. For this purpose, our first step is to present so... 详细信息

关键词： Switches Topology Observers Formation control Event detection Switched systems Multi-agent systems control theory Autonomous systems Stability

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Neural Dynamics for Cooperative Motion control of Omnidirectional Mobile Manipulators in the Presence of Noises: A Distributed Approach

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IEEE/CAA Journal of Automatica Sinica 2024年第7期11卷 1605-1620页

作者： Yufeng Lian Xingtian Xiao Jiliang Zhang Long Jin Junzhi Yu Zhongbo Sun the Department of Control Engineering Changchun University of TechnologyChangchun 130012China IEEE the College of Information Science and Engineering Northeastern UniversityShenyang 110819 the National Mobile Communications Research Laboratory Southeast UniversityNanjing 210096China the School of Information Science and Engineering Lanzhou UniversityLanzhou 730000China the State Key Laboratory for Turbulence and Complex Systems Department of Advanced Manufacturing and RoboticsCollege of EngineeringPeking UniversityBeijing 100871China

This paper presents a distributed scheme with limited communications, aiming to achieve cooperative motion control for multiple omnidirectional mobile manipulators(MOMMs).The proposed scheme extends the existing single-agent motion control to cater to scenarios involving the cooperative operation of MOMMs. Specifically, squeeze-free cooperative load transportation is achieved for the end-effectors of MOMMs by incorporating cooperative repetitive motion planning(CRMP), while guiding each individual to desired poses. Then, the distributed scheme is formulated as a time-varying quadratic programming(QP) and solved online utilizing a noise-tolerant zeroing neural network(NTZNN). Theoretical analysis shows that the NTZNN model converges globally to the optimal solution of QP in the presence of noise. Finally, the effectiveness of the control design is demonstrated by numerical simulations and physical platform experiments.

关键词： Cooperative motion control noise-tolerant zeroing neural network(NTZNN) omnidirectional mobile manipulator(OMM) repetitive motion planning

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Coverage Path Planning of Agricultural Spraying Drones with Graph Convolutional Network 12

Coverage Path Planning of Agricultural Spraying Drones with ...

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12th RSI International Conference on Robotics and Mechatronics, ICRoM 2024

作者： Khaloujini, Amirmasood Talaeizadeh, Amin Taheri, Alireza Alastya, Aria Advanced Research Lab for Control and Agricultural Robotics Sharif University of Technology Social and Cognitive Robotics Lab. Department of Mechanical Engineering Tehran Iran

ISBN: (纸本)9798331529734

Optimal route planning for autonomous robots is a crucial element of contemporary agriculture, especially for activities like spraying and pollination. This paper presents a Graph Convolutional Network (GCN) model especially developed to address the Coverage Path Planning (CPP). The aim of this paper is to convert the CPP problem into a Traveling Salesman Problem (TSP), so that by solving the TSP using the proposed neural network, an optimal route can be extracted for each agricultural field in the shortest possible time and with sufficient accuracy, ensuring full coverage of the field's area. The proposed model is a GCN, augmented with a transformer layer and a Multi-Layer Perceptron (MLP), was trained using datasets produced by a Genetic Algorithm (GA) Method. The model obtained a network error of 0.12 while solving TSP cases with 20 points. It showed robust generalization skills, as evidenced by validation and test errors of 0.1261 and 0.1264, respectively. Significantly, the GCN model reduces the solution time to approximately one-tenth compared to conventional approaches, a benefit that increases as the number of points increases. The effectiveness of the model in producing ideal coverage routes highlights its potential for wider use in optimization and coverage path planning, especially in dynamic and extensive agricultural environments. © 2024 IEEE.

关键词： Traveling salesman problem

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Transferable,highly crystalline covellite membrane for multifunctional thermoelectric systems

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InfoMat 2024年第11期6卷 66-80页

作者： Myungwoo Choi Geonhee Lee Yea-Lee Lee Hyejeong Lee Jin-Hoon Yang Hanhwi Jang Hyeonseok Han MinSoung Kang Seonggwang Yoo A-Rang Jang Yong Suk Oh Inkyu Park Min-Wook Oh Hosun Shin Seokwoo Jeon Jeong-O Lee Donghwi Cho Department of Materials Science and Engineering Korea UniversitySeoulRepublic of Korea Thin Film Materials Research Center Korea Research Institute of Chemical TechnologyDaejeonRepublic of Korea Chemical Data-Driven Research Center Korea Research Institute of Chemical TechnologyDaejeonRepublic of Korea Division of Chemical and Material Metrology Korea Research Institute of Standards and ScienceDaejeonRepublic of Korea Department of Materials Science and Engineering Korea Advanced Institute of Science and TechnologyDaejeonRepublic of Korea Department of Mechanical Engineering Korea Advanced Institute of Science and TechnologyDaejeonRepublic of Korea Therapeutics&Biotechnology Division Drug Discovery Platform Research CenterKorea Research Institute of Chemical TechnologyDaejeonRepublic of Korea Querry Simpson Institute for Bioelectronics Northwestern UniversityEvanstonIllinoisUSA Division of Electrical Electronic and Control EngineeringKongju National UniversityCheonanRepublic of Korea Department of Mechanical Engineering Changwon National UniversityChangwonRepublic of Korea Department of Materials Science and Engineering Hanbat National UniversityDaejeonRepublic of Korea Advanced Materials and Chemical Engineering University of Science and TechnologyDaejeonRepublic of Korea

Emerging freestanding membrane technologies,especially using inorganic thermoelectric materials,demonstrate the potential for advanced thermoelectric ***,using rare and toxic elements during material processing must be ***,we present a scalable method for synthesizing highly crystalline CuS membranes for thermoelectric *** sulfurizing crystalline Cu,we produce a highly percolated and easily transferable network of submicron CuS *** CuS membrane effectively separates thermal and electrical properties to achieve a power factor of 0.50 mW m^(-1) K^(-2) and thermal conductivity of 0.37 W m^(-1) K^(-1) at 650 K(estimated value).This yields a record-high dimensionless figure-of-merit of 0.91 at 650 K(estimated value)for ***,integrating 12 CuS devices into a module resulted in a power generation of4μW atΔT of 40 K despite using a straightforward configuration with only p-type ***,based on the temperature-dependent electrical characteristics of CuS,we develop a wearable temperature sensor with antibacterial properties.

关键词： copper sulfide flexible thermoelectric generator multifunctional thermoelectric systems sulfurization thermoelectric membrane

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In-situ forming ultra-mechanically sensitive materials for high-sensitivity stretchable fiber strain sensors

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National Science Review 2024年第6期11卷 254-263页

作者： Rouhui Yu Changxian Wang Xiangheng Du Xiaowen Bai Yongzhong Tong Huifang Chen Xuemei Sun Jing Yang Naoji Matsuhisa Huisheng Peng Meifang Zhu Shaowu Pan State Key Laboratory for Modification of Chemical Fibers and Polymer Materials College of Materials Science and Engineering Donghua University MOE Key Lab of Disaster Forecast and Control in Engineering School of Mechanics and Construction Engineering Jinan University State Key Laboratory of Molecular Engineering of Polymers Department of Macromolecular Science and Institute of Fiber Materials and Devices Fudan University Department of Cardiology Shanghai Xuhui Central HospitalZhongshan-Xuhui Hospital Fudan University Research Center for Advanced Science and Technology and Institute of Industrial Science The University of Tokyo

Fiber electronics with flexible and weavable features can be easily integrated into textiles for wearable applications. However, due to small sizes and curved surfaces of fiber materials, it remains challenging to load robust active layers, thus hindering production of high-sensitivity fiber strain sensors. Herein, functional sensing materials are firmly anchored on the fiber surface in-situ through a hydrolytic condensation *** anchoring sensing layer with robust interfacial adhesion is ultra-mechanically sensitive, which significantly improves the sensitivity of strain sensors due to the easy generation of microcracks during stretching. The resulting stretchable fiber sensors simultaneously possess an ultra-low strain detection limit of 0.05%, a high stretchability of 100%, and a high gauge factor of 433.6, giving 254-folds enhancement in sensitivity. Additionally, these fiber sensors are soft and lightweight, enabling them to be attached onto skin or woven into clothes for recording physiological signals, e.g. pulse wave velocity has been effectively obtained by them. As a demonstration, a fiber sensor-based wearable smart healthcare system is designed to monitor and transmit health status for timely intervention. This work presents an effective strategy for developing high-performance fiber strain sensors as well as other stretchable electronic devices.

关键词： fiber strain sensor stretchable wearable healthcare

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Model Predictive control of a wastewater treatment process using neural networks 28

Model Predictive Control of a wastewater treatment process u...

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28th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2023

作者： Vasiliev, Iulian Luca, Irina Condrachi, Larisa Luca, Laurentiu Barbu, Marian Vilanova, Ramon Caraman, Sergiu Dunǎrea de Jos University of Galati Department of Automation and Electrical Engineering Galati Romania Autonomous University of Barcelona Department of Automation Systems and Advanced Control Research Barcelona Spain

ISBN: (纸本)9798350339918

This paper deals with the increasing of the operation efficiency of a wastewater treatment plant by reducing the level of pollutant concentration in the effluent. In essence, the main goal is the reduction of the concentration of organic substrate, Model Predictive control algorithm being used for this, considering as a model of the wastewater treatment process a neural network model based on a simplified mathematical model of the 4th order. For the implementation of the control algorithm, two neural networks were trained. In the first version of the neural network, it was considered that all 4 state variables are measurable and in the second version, only the organic substrate was considered measurable. Regarding the training of the two neural networks, good results were obtained in the case of both versions. Instead, the control algorithm gave better results when the second neural network was used (lower values of the substrate, lower variations of the aeration rate, which means a lower cost of operation). © 2023 IEEE.

关键词： Neural networks

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An analysis towards integrated control of wastewater collecting and treatment systems 27

An analysis towards integrated control of wastewater collect...

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27th International Conference on System Theory, control and Computing, ICSTCC 2023

作者： Vasiliev, Iulian Luca, Laurentiu Barbu, Marian Vilanova, Ramon Caraman, Sergiu Department of Automation and Electrical Engineering Dunărea de Jos University of Galati Galati Romania Department of Automation Systems and Advanced Control Research Autonomous University of Barcelona Barcelona Spain

ISBN: (纸本)9798350337983

This paper deals with an analysis regarding the effect of Sewer Network operation on the performances of the integrated wastewater collecting and treatment system. The analysis is done by considering various control actions for the output storage tank of the sewer network, comparing a series of performance indicators defined for both subsystems with their "no control" value. Two cases have been considered regarding the control actions for the output storage tank of the sewer network: 1. keeping the output valve at a constant opening and 2. keeping the output valve at the maximum opening possible such as the outflow is limited to a constant value. While the second case did not prove advantageous, the first one showed that lowering the sewer network output valve opening would improve the integrated system performances. © 2023 IEEE.

关键词： Wastewater treatment

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Design and implementation of intelligent LiDAR SLAM for autonomous mobile robots using evolutionary normal distributions transform

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Soft Computing 2024年第6期28卷 5321-5337页

作者： Huang, Hsu-Chih Xu, Sendren Sheng-Dong Lin, Hsien-Chan Xiao, Yuan-Sheng Chen, Yu-Xiang Department of Electrical Engineering National Ilan University Yilan260007 Taiwan Graduate Institute of Automation and Control National Taiwan University of Science and Technology Taipei106335 Taiwan Advanced Manufacturing Research Center National Taiwan University of Science and Technology Taipei106335 Taiwan

This paper presents a method that employs an evolutionary normal distributions transform (NDT) for simultaneous localization and mapping (SLAM) using light detection and ranging (LiDAR) for autonomous mobile robots. An adaptive inertia weight and two genetic operators were employed in the Taguchi-based whale optimization algorithm (WOA) to improve the search diversity and avoid local optima. NDT was used to model the environment of differential-drive mobile robots and WOA was applied to optimize the scan matching for the robotic SLAM problem. The NDT-WOA determines the SLAM pose estimation using sensed data from the physical world. A nonholonomic mobile robot was steered to achieve the NDT-WOA SLAM task with the derived robot kinematics and actuator dynamics. The proposed method was implemented in a TurtleBot3 Burger robotic development kit, which includes a single-board computer and an OpenCR control board. The Robot Operating System (ROS) was utilized to implement the evolutionary NDT-WOA SLAM system due to its flexibility, open source, and client library. Simulation and comparisons were conducted to illustrate the efficiency of the proposed NDT-WOA SLAM method compared to other SLAM paradigms. The experimental results show the effectiveness of the proposed evolutionary NDT-WOA SLAM for autonomous mobile robots. The results could have theoretical and practical significance for robotics research. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2023.

关键词： Mobile robots

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