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Electronic Technology, Communication and Information (ICETCI), IEEE International Conference on

作者： Han Yuheng Xia Qiu Hu Guangzhong Wang Ping College of Mechanical Engineering Sichuan University of Science & Engineering Yibin China College of Mechanical Engineering Sichuan University of Science & Engineering Sichuan Provincial Key Lab of Process Equipment and Control Yibin China College of Mechanical Engineering Sichuan University of Science & Engineering Key Laboratory of Advanced Manufacturing Technology of Panzhihua City Sichuan Provincial Key Lab of Process Equipment and Control Yibin China

Piston compressors are widely used in chemical industry and other fields. At present, the market puts forward a working condition requirement for piston compressor to adapt to the change of intake air volume. However, the classical PID control has shortcomings in stability time, anti-interference and PID parameter online tuning, which does not meet the requirements of working conditions. Therefore, this paper designs the adaptive control system of the intake air volume of the piston compressor according to the variable speed air volume regulation strategy and establishes a mathematical model. Using BP neural network and fuzzy control theory, a fuzzy neural network PID controller is built. Using Matlab/Simulink, a step response simulation experiment is carried out. Using C# language, the upper computer of the system is programmed. The simulation results show that the stability time of the intake air volume adaptive control system based on the fuzzy neural network PID controller is 1.63 seconds, which is 0.55 seconds and 1.6 seconds faster than that of the intake air volume adaptive control system based on the adaptive fuzzy PID controller and the classical PID controller respectively, and its anti-interference ability is stronger, which is more suitable for the realization of the intake air volume adaptive control system controller under this working condition.

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Generative Convolutional Monitoring Method for Online Flooding Recognition in Packed Towers

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Journal of the Taiwan Institute of Chemical Engineers 2024年 165卷

作者： Liu, Yi Jiang, Yuxin Gao, Zengliang Liu, Kaixin Yao, Yuan Institute of Process Equipment and Control Engineering Zhejiang University of Technology Hangzhou 310023 China The State Key Lab for Electronic Testing Technology North University of China Taiyuan 030051 China Department of Chemical Engineering National Tsing Hua University Hsinchu 300044 Taiwan

Background: Data-driven methods play an important role in monitoring the liquid flooding process for ensuring the efficient and safe operation of packed towers. However, their online recognition performance is often limited due to the imbalanced and nonlinear nature of the flooding data. Method: In this work, a generative convolutional monitoring (GCM) method is proposed for online flooding recognition. Firstly, a generative model by integrating variational autoencoder with Wasserstein generative adversarial networks is designed to generate information-rich flooding images for enlarging the diversity of the dataset. Secondly, the convolutional neural network is employed for the online recognition of flooding. Finally, feature visualization explains the details of the GCM method in terms of feature extraction. Consequently, the proposed method extracts nonlinear characteristics while overcoming the difficulties associated with unbalanced data. Significant findings: Experiments on a lab-scale packed tower demonstrate the feasibility of the proposed approach. The flooding state in packed towers can be online detected. © 2024 Taiwan Institute of Chemical Engineers

关键词： Generative adversarial networks

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Hazard Analysis of Collaborative Automation Systems: A Two-layer Approach based on Supervisory control and Simulation

Hazard Analysis of Collaborative Automation Systems: A Two-l...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Tom P. Huck Yuvaraj Selvaraj Constantin Cronrath Christoph Ledermann Martin Fabian Bengt Lennartson Torsten Kröger Intelligent Process Automation and Robotics Lab Institute of Anthropomatics and Robotics (IAR-IPR) Karlsruhe Institute of Technology India Department of Electrical Engineering Division of Systems and Control Chalmers University of Technology Gothenburg Sweden

Safety critical systems are typically subjected to hazard analysis before commissioning to identify and analyse potentially hazardous system states that may arise during operation. Currently, hazard analysis is mainly based on human reasoning, past experiences, and simple tools such as checklists and spreadsheets. Increasing system complexity makes such approaches decreasingly suitable. Furthermore, testing-based hazard analysis is often not suitable due to high costs or dangers of physical faults. A remedy for this are model-based hazard analysis methods, which either rely on formal models or on simulation models, each with their own benefits and drawbacks. This paper proposes a two-layer approach that combines the benefits of exhaustive analysis using formal methods with detailed analysis using simulation. Unsafe behaviours that lead to unsafe states are first synthesised from a formal model of the system using Supervisory control Theory. The result is then input to the simulation where detailed analyses using domain-specific risk metrics are performed. Though the presented approach is generally applicable, this paper demonstrates the benefits of the approach on an industrial human-robot collaboration system.

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Channel geometry and throttling regulation effects on printed circuit Joule-Thomson cryocooler performance

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Applied Thermal Engineering 2025年 274卷

作者： She, Hailong Hu, Guangzhong Cui, Xiaoyu Liu, Zhongbin Li, Hang Peng, Di Zhao, Zhe Yin, Peng College of Mechanical Engineering Sichuan University of Science & Engineering Yibin644000 China Sichuan Provincial Key Lab of Process Equipment and Control Engineering Yibin644000 China College of Energy and Power Engineering University of Shanghai for Science and Technology Shanghai200093 China

To solve the shortcomings of the current microchannel Joule-Thomson (J-T) cryocooler, such as monotonous channel configurations and limited parallelization, this study integrates printed circuit heat exchanger fabrication technology with distributed throttling refrigeration theory. A distributed J-T effect cryocooler featuring a multi-rectangular microchannel parallel structure was successfully developed. Performance investigations were conducted with the cryocooler as the prototype. By analyzing the thermodynamic parameter evolution of Ar at critical nodes, the weak link of the prototype was identified: the low J-T coefficient μjt at the throttling inlet limits overall efficiency. To resolve this, a dual optimization strategy was proposed. First, topology optimization of the channel form of the counterflow heat exchanger was implemented to enhance precooling. The results show that the airfoil fin channels exhibit superior performance compared to other configurations. When the inlet parameters are 6.0 MPa and 285.0 K, compared with the prototype, the cold-end temperature decreases from 194.9 K to 167.8 K, the J-T efficiency is increased from 49.1 % to 56.1 %. the airfoil geometry intensifies heat transfer, thereby promoting more significant distributed J-T effect and heat transfer coupling in the throttling section, which is the key to improving refrigeration performance. In addition, length ratio optimization between counterflow heat exchanger and throttle was explored. The results show that increasing the length ratio of the throttling channel can effectively suppress the limit velocity of the fluid, thus delaying the occurrence of choked flow. Conversely, reducing this proportion lowers the cold-end temperature. constrained by choked flow limits, the minimum throttling length under the conditions described in this study is 12 mm, achieving a further temperature drop to 136.4 K, with peak J-T efficiency (74.1 %) and heat flux (2.77 W/mm). The established dual opti

关键词： Refrigeration

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Nickel recovery from electroplating sludge via bipolar membrane electrodialysis

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JOURNAL OF COLLOID AND INTERFACE SCIENCE 2023年第1期637卷 431-440页

作者： Liu, Yaoxing Lian, Rui Wu, Xiaoyun Dai, Liping Ding, Jianguo Wu, Xiaoyu Ye, Xin Chen, Riyao Ding, Rui Liu, Jianxi Van der Bruggen, Bart Fujian Normal Univ Coll Environm & Resource Sci Coll Carbon Neutral Modern Ind Fujian Key Lab Pollut Control & Resource Reuse Fuzhou 350007 Fujian Province Peoples R China Fujian Chuanzheng Commun Coll Sch Safety & Environm Fuzhou 350007 Fujian Province Peoples R China Chinese Acad Sci Inst Urban Environm Key Lab Urban Pollutant Convers Xiamen 361021 Peoples R China Katholieke Univ Leuven Dept Chem Engn ProcESS Proc Engn Sustainable Syst Celestijnenlaan 200F B-3001 Leuven Belgium Tshwane Univ Technol Fac Engn & Built Environm Private Bag X680 ZA-0001 Pretoria South Africa

In this study, nickel (Ni) was recovered from electroplating sludge in the form of Ni(OH)(2) using a bipolar membrane electrodialysis (BMED) system. The results showed that the H+ generated by the bipolar mem-brane could effectively desorb Ni from the sludge to the solution and the solution pH considerably affected Ni desorption. The desorption process can be described using the first-order kinetic model. The current density and solid/liquid ratio (m/v) considerably affected Ni recovery. Moreover, 100% of Ni was removed from the electroplating sludge and 93.5% of Ni was recovered after 28 h under a current density of 20 mA/cm(2), a solid/liquid ratio of 1.0:15 and an electroplating-sludge particle size of 100 mesh. As the number of electroplating compartments increased from one to two and three, the current effi-ciency for recovering Ni changed from 12.1% to 11.8% and 11.9%, respectively, and the specific energy consumption decreased from 0.064 to 0.048 and 0.039 kW center dot h/g, respectively. Fourier-transform infrared spectroscopy and Raman spectroscopy showed that the precipitate obtained in this study is similar to commercial Ni(OH)(2) and the purity of Ni(OH)(2) in the obtained precipitate was 79%. Thus, the results showed that the BMED system is effective for recovering Ni from electroplating sludge.(c) 2023 Elsevier Inc. All rights reserved.

关键词： Bipolar membrane Electrodialysis Nickel Recovery Electroplating sludge

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Effect of grain refinement induced by wire and arc additive manufacture (WAAM) on the corrosion behaviors of AZ31 magnesium alloy in NaCl solution

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Journal of Magnesium and Alloys 2023年第1期11卷 217-229页

作者： Jianwei LI Youmin QIU Junjie YANG Yinying SHENG Yanliang YI Xun ZENG Lianxi CHEN Fengliang YIN Jiangzhou SU Tiejun ZHANG Xin TONG Bin GUO School of Materials Science and Engineering Harbin Institute of TechnologyHarbin 150001PR China Beijing Hangxing Machinery Manufacture Limited Corporation Beijing 100013PR China Institute of Advanced Wear&Corrosion Resistant and Functional Materials Jinan UniversityGuangzhou 510632PR China The Third Academy of CASIC Beijing 100074PR China MOE Key Lab of Disaster Forecast and Control in Engineering Jinan UniversityGuangzhou510632P.R.China Institute of Materials and Process Design Helmholtz-Zentrum HereonMax-Planck-Str.121502 GeesthachtGermany School of Materials Science and Hydrogen Energy Foshan UniversityFoshan 528000PR China

Additive manufacturing(AM)of Mg alloys has become a promising strategy for producing complex structures,but the corrosion performance of AM Mg components remains *** this study,wire and arc additive manufacturing(WAAM)was employed to produce single AZ31 *** results revealed that the WAAM AZ31 was characterized by significant grain refinement with non-textured crystallographic orientation,similar phase composition and stabilized corrosion performance comparing to the cast *** varied corrosion behaviors were principally ascribed to the size of grain,where cast AZ31 and WAAM AZ31 were featured by micro galvanic corrosion and intergranular corrosion,respectively.

关键词： AZ31 magnesium alloy Wire and arc additive manufacturing(WAAM) Grain refinement Microstructure Intergranular corrosion

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Fabrication of Porous Hematite Nanoparticles by Recycling of Waste Ferrous Sulfate with Microwave-Assisted Reduction Technique

SSRN

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SSRN 2023年

作者： Ren, Genkuan Zhang, Zhengan Wang, Xinlong Yang, Xiushan Zhu, Denglei Chen, Aijun Xin, Luo He, Xuemei Key Lab of Process Analysis and Control Sichuan Universities Yibin University Yibin64000 China School of Chemical Engineering Sichuan University Chengdu610065 China Department of Materials and Chemical Engineering Yibin College Yibin64000 China

Massive ferrous sulfate heptahydrate put aside without being utilized not merely resulted in serious environment pollution, but also caused resource waste in China. To alleviate environmental pressures and increase resource utilization, a novel solution is proposed to fabricate porous hematite nanoparticles using waste ferrous sulfate as the starting material via microwave-assisted reduction technique in nitrogen protection. Physicochemical properties of the synthesized porous α-HNPs were separately analyzed by X-ray diffraction (XRD), Fourier transform infrared spectrum (FTIR), Raman spectroscopy (RM), scanning electron microscopy (SEM), energy dispersive X-ray spectroscopy (EDX), transmission electron microscopy (TEM), X-ray photoelectron spectroscopy (XPS) and Brunauer–Emmett–Teller (BET) method. Fabrication of α-HNPs with spherical-like microscopy was certified by using XRD, FTIR, RM and XPS. SEM and TEM images indicated that the porous α-HNPs with the size of 35~75 nm were formed by microwave-assisted reduction technique. Special surface area, pore volume and pore size of α-HNPs were evaluated to be ca. 20.999 m2/g, ca. 0.111 cm3/g and ca. 0.892 nm. The novel synthesis technique of α-HNPs provides an effective way for utilizing ferrous sulfate heptahydrate from titanium dioxide production and easing environmental pressures, which is in line with the idea of recycling economy and meets the requirements for cleaner utilization. © 2023, The Authors. All rights reserved.

关键词： Sulfur compounds

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Combining experiments to elucidate carbon dioxide absorption in amino acid-anion based ionic liquids at the molecular level

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Journal of Molecular Liquids 2024年 415卷

作者： Han, Bingyi Lun, Xiaoxiu Zhang, Jing Ma, Weifang Qiao, Qunbo Beijing Key Lab for Source Control Technology of Water Pollution College of Environmental Science and Engineering Beijing Forestry University Beijing100083 China Engineering Research Center for Water Pollution Source Control & Eco-remediation College of Environmental Science and Engineering Beijing Forestry University Beijing100083 China Institute of Process Engineering Chinese Academy of Science Beijing100190 China School of Ecology and Nature Conservation Beijing Forestry University Beijing100083 China

Amino acid ionic liquids (AAILs) have good absorption performance for carbon dioxide (CO2). However, there is no unified understanding of the absorption mechanism. In this study, synthesis and characterization of four ionic liquids (ILs) based on amino acid (aminate) anions, namely 1-butyl-3-methylimidazolium L-alaninate ([BMIm]Ala), 1-butyl-3-methylimidazolium arginate ([BMIm]Arg), 1-butyl-3-methylimidazolium glycinate ([BMIm]Gly) and 1-butyl-3-methylimidazolium lysinate ([BMIm]Lys), were accomplished, where the cation adopted was [BMIm]+. Further, their CO2 absorption capacities were examined. The CO2 molar uptake rankings for the investigated aminate-ILs are [BMIm]Arg > [BMIm]Lys > [BMIm]Gly > [BMIm]Ala, with [BMIm]Arg displaying stronger CO2 absorption (0.85 mol CO2/mol IL under 10.0 bar). In contrast to non-functionalized ILs and amine functionalized cation ILs, the CO2 solubility of as-synthesized aminate-ILs is higher. More importantly, the Quantum Theory of Atoms-in-Molecules (QTAIM) at the M06-2X/6-311++G(d, p) level was exploited to theoretically explore the CO2 absorption mechanism and kinetics of the aminate-ILs. It was found that the alkyl chain length along with the quantity of amine (–NH2) groups in aminate anions affected their absorption of CO2. Facilitated absorption of CO2 was noted when the amine group quantity of ILs structures rose. The chemisorption nature was determined according to the enthalpy changes in the process of CO2 capture. As suggested by the kinetic findings, [BMIm]Gly exhibited higher absorption rate of CO2 compared to [BMIm]Ala, since the steric hindrance in the latter is higher because of an extra methyl group in the aminate chain. Additionally, topological exploration revealed that the C–N bond critical point had a covalent nature, indicating that CO2 capture was a chemisorption event. In conclusion, based on the kinetic energy findings combined with the interaction and topological analyses, [BMIm]Arg was identified as the opt

关键词： Amino acids

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Slow Feature Thermography for Non-Destructive Evaluation of Defects in Composite Materials

Slow Feature Thermography for Non-Destructive Evaluation of ...

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Data Driven control and Learning Systems (DDCLS)

作者： Kaixin Liu Xin Zhong Ping Chen Yun Dai Yi Liu The State Key Lab for Electronic Testing Technology North University of China China Department of Information and Communication Engineering North University of China Taiyuan China College of Mechanical Engineering Nantong Vocational University Nantong China Institute of Process Equipment and Control Engineering Zhejiang University of Technology Hangzhou China

ISBN: (数字)9798350361674

ISBN: (纸本)9798350361681

In recent years, various methods for processing and analyzing thermographic data have been applied in non-destructive testing to improve the visibility of defects. Representatively, traditional linear dimensionality reduction methods (e.g. principal component analysis) have achieved good results in thermographic data analysis. In this work, a slow feature thermography (SFT) method for non-destructive evaluation of defects in composite materials. Thermographic data can be regarded as a continuous time series generated by an infrared imager at different moments. Slow feature analysis algorithm is subsequently used to extract slow features of the thermal image sequence. Slow features refer to features that are unchanged or slowly changing in time-series data, such as the background of a thermal image. By extracting the slow features of data, the inhomogeneous background, noise and defect features contained in thermal images can be effectively distinguished. Test results on carbon fiber reinforced polymer specimens demonstrate the feasibility and effectiveness of the SFT method.

关键词： Image recognition Composite materials Time series analysis Infrared imaging Feature extraction Thermal noise Thermal analysis

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Facet-controlled LiMn_(2)O_(4)/C as Deionization Electrode with Enhanced Stability and High Desalination Performance

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Nano-Micro Letters 2022年第11期14卷 75-86页

作者： Yuxin Jiang Liyuan Chai Dehe Zhang Fangping Ouyang Xiangyuan Zhou Sikpaam IAlhassan Sailin Liu Yingjie He Lvji Yan Haiying Wang Wenchao Zhang School of Metallurgy and Environment Central South UniversityChangsha 410083People’s Republic of China Chinese National Engineering Research Center for Control and Treatment of Heavy Metal Pollution Changsha 410083People’s Republic of China Water Pollution Control Technology Key Lab of Hunan Province Changsha 410083People’s Republic of China School of Physics and Electronics Hunan Key Laboratory for Super-Microstructure and Ultrafast Processand Hunan Key Laboratory of Nanophotonics and DevicesCentral South UniversityChangsha 410083People’s Republic of China State Key Laboratory of Powder Metallurgy and Powder Metallurgy Research InstituteCentral South UniversityChangsha 410083People’s Republic of China School of Chemical Engineering and Advanced Materials Faculty of SciencesEngineering and TechnologyThe University of AdelaideAdelaide 5005Australia

Battery materials as emerging capacitive deionization electrodes for desalination have better salt removal capacities than traditional carbon-based ***_(2)O_(4),a widely used cathode mate-rial,is difficult to utilize as a deionization electrode due to its structural instability upon cycling and Mn dissolution in aqueous-based ***,a facile and low-cost ball-milling routine was proposed to prepare a LiMn_(2)O_(4)material with highly exposed(111)*** prepared electrode exhibited relatively low dissolution of Mn during cycling,which shows its long cycle *** the hybrid capacitive deionization system,the LiMn_(2)O_(4)/C electrode delivered a high desalination capacity of 117.3 mg g^(−1) without obvious capacity decay at a voltage of 1.0 V with a 20 mM initial salt *** addition,the exposed(111)facets significantly alleviated Mn ion dissolution,which also enhanced the structural steadiness.

关键词： Deionization electrode Desalination Lithium-ion battery

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