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Microwave synthesis of high-entropy alloy catalysts on graphene oxide sheets for oxygen reduction and evolution reactions

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International Journal of Hydrogen Energy 2024年 53卷 999-1008页

作者： Khan, Jala Bib Panda, Pradeep Kumar Yang, Po-Chih Hsieh, Chien-Te Gandomi, Yasser Ashraf Liu, Wei-ren Chang, Jeng-Kuei Department of Chemical Engineering and Materials Science Yuan Ze University Taoyuan 32003 Taiwan Department of Mechanical Aerospace and Biomedical Engineering University of Tennessee Knoxville 37996 TN United States Department of Chemical Engineering Massachusetts Institute of Technology Cambridge 02142 MA United States Department of Chemical Engineering R&D Center for Membrane Technology Center for Circular Economy Chung Yuan Christian University Taoyuan 32023 Taiwan Department of Materials Science and Engineering National Yang Ming Chiao Tung University Hsinchu 30010 Taiwan

High-entropy alloys (HEAs) are commonly synthesized through solid-state reactions and solution-mediated techniques. In this work, HEA nanoparticles were synthesized using an ultra-efficient pulse microwave (PM) method at relatively low temperatures (∼100 °C) with superior catalytic activities. during the PM synthesis process, the precursors of the reaction activate and accelerate the reaction owing to the release of localized and excessive energy. This leads to the formation of a crystallized high-entropy alloy (HEA). Pt₃₀Al₁₅Mn₁₅Co₁₀Ni₁₅Cu₁₅ and Pt₃₀Al₁₅Mn₁₅Co₁₀Ni₁₅Fe₁₅ HEA nanoparticles were synthesized without requiring additional external heat treatments. Furthermore, the synthesized entropically stable HEA nanoparticles showed excellent dispersion behavior towards graphene oxide (GO) sheets (particle size: 4–10 nm), this enhanced dispersion resulted in improved catalytic activity and long-term durability for various processes including H₂ adsorption/desorption, oxygen reduction reaction (Orr), and oxygen evolution reaction (OEr). The robust design of Cu-HEA-GO catalytic nanoparticles leads to increased synergistic interactions, which play a critical role in enhancing the Orr/OEr activity. We firmly believe that the framework established in this study paves the way for the development of various high-performance catalysts based on HEAs for applications in fuel cells, metal-air batteries, and other electrochemical devices. © 2023 Hydrogen Energy Publications LLC

关键词： Electrochemical catalysts Graphene oxide High entropy alloy Oxygen reduction reaction Pulse microwave approach

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In-situ high-dynamic micro hammering enhanced wire-arc direct energy deposition of magnesium alloy

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Journal of Magnesium and Alloys 2025年

作者： Xu, Zhifei Xiao, Jun Chen, Shujun ding, Chao Gai, Shengnan Yan, Zhaoyang College of Mechanical & Energy Engineering Beijing University of Technology Beijing100124 China Engineering Research Center of Advanced Manufacturing Technology for Automotive Components Ministry of Education Welding Equipment R&D Center Beijing University of Technology Beijing100124 China

Wire-arc direct energy deposition (WA-dEd) has emerged as a suitable solution for the rapid manufacturing of magnesium (Mg) alloys, and the in-situ improvement of the microstructure and properties is essential to promote its further application. In this work, a novel in-situ high-dynamic micro hammering enhanced WA-dEd method for Mg alloys based on linear actuator was proposed, and the relevant system was developed. The special terminal hammering head could be sufficiently close to the molten pool to enable high-frequency uniform hammering of the just solidified Mg alloy. Two hammered layers of AZ31B Mg alloy with different levels of deformation (20% and 35%) were fabricated to compare with the as-deposited layer. The results showed that the temperature of the hammered area reached 450 °C and that the hammering flattened the surface of the deposited layer while the induced strain was sufficiently transmitted to the bottom of the layer. The formation of numerous {10−12} extension twins were involved in strain coordination in all regions of the moderately deformed layer (#H-20). Continuous dynamic recrystallisation (CdrX), twin-CdrX and twinning together contribute to grain refinement, reducing the average grain size from 161.5 µm to 32.5 µm. For severely deformed layers (#H-35), a greater number of proliferating dislocations led to a high degree of CdrX, resulting in the reduction of stress concentrations thereby inhibiting twinning, and thus CdrX was the dominant mechanism driving the microstructure evolution, especially in the top region. The microhardness of in-situ hammered samples H-20 and H-35 increased by 17.7% and 31.7%, respectively, and the grain boundary strengthening and dislocation strengthening both contributed to the improvement of mechanical properties. These promising findings will facilitate the application of in-situ hammering technology in additive manufacturing using WA-dEd. © 2025

关键词： Grain refinement

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Vegetation Shading Fault diagnosis in Photovoltaic Power Stations Based on SVM 2

Vegetation Shading Fault Diagnosis in Photovoltaic Power Sta...

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2nd IEEE International Power Electronics and Application Symposium, PEAS 2023

作者： Wang, Zeao Ma, Mingyao Ma, Wenting Xu, Qian Zhang, rui Hefei University of Technology National and Local Joint Engineering Laboratory for Renewable Energy Access to Grid Technology Hefei China National and Local Joint Engineering Laboratory for Renewable Energy Access to Grid Technology Hefei China Sungrow Smart Maintenance Technology Co. Ltd. R&d Center Hefei China

ISBN: (纸本)9798350313765

Aiming at vegetation shading faults in photovoltaic (PV) power stations, a fault diagnosis model based on support vector machine (SVM) is proposed. According to the seasonal variation characteristics of PV string currents, the characteristics of vegetation shadings are extracted, and the characteristic matrix is established. Through the field operation data, the model was established for training and verification. The diagnostic results of SVM with different kernel functions are compared through experiments, and the diagnostic results of different machine learning are compared. The results show that the SVM algorithm can effectively identify shading faults of PV power stations, and the fault diagnosis accuracy is high. © 2023 IEEE.

关键词： fault diagnosis PV power stations SVM vegetation shading

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Estimating Smart Grid Stability with Hybrid rNN+LSTM deep Learning Approach 12

Estimating Smart Grid Stability with Hybrid RNN+LSTM Deep Le...

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12th International Conference on Smart Grid, icSmartGrid 2024

作者： Oyucu, Saadin Sagiroglu, Seref Aksoz, Ahmet Bicer, Emre Faculty of Engineering Department of Computer Engineering Adiyaman Turkey Gazi University Artificial Intelligence and Big Data Analytics Security R&d Center Ankara Turkey Sivas Cumhuriyet University Mobilers Team Sivas Turkey Sivas University of Science and Technology Faculty of Engineering and Natural Sciences Battery Research Laboratory Sivas Turkey

ISBN: (纸本)9798350361612

Smart grids are faced with a range of challenges, such as the development of communication infrastructure, cybersecurity threats, data privacy, and the protection of user information, due to their complex structure. Another key challenge faced by smart grids is the stability issues arising from variable energy sources and consumption patterns. In these complex grid systems where energy demand and supply need to be balanced instantly, stability predictions play a significant role in foreseeing potential disruptions and optimizing energy flow. Therefore, within the scope of this study, a hybrid structure utilizing recurrent Neural Networks (rNN) and Long Short-Term Memory (LSTM) networks is employed for stability classification to predict grid stability. This hybrid model combines the ability of rNN to recognize relationships between consecutive data points with LSTM's capability to preserve long-term dependencies. The results obtained indicate that the model exhibited stable performance with accuracy rates of 98.06% and 98.02% at 50 and 100 epochs, respectively. The findings of this study contribute valuable insights to research on the management and stability of smart grids, enabling energy systems to be operated more reliably and efficiently. © 2024 IEEE.

关键词： Smart power grids

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A Scheme for Authentication and Traceability of 5G Mobile Terminal Based on IPv6 and Blockchain 16

A Scheme for Authentication and Traceability of 5G Mobile Te...

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16th International Conference on Wireless Communications and Signal Processing, WCSP 2024

作者： Ji, Xinsheng Zhao, Ying Liao, Xingxing Yang, Jie Wang, Chunxiao Tsinghua University Department of Computer Science and Technology Beijing100084 China National Digital Switching System Engineering & Technological R&d Center Zhengzhou450002 China Purple Mountain Laboratories Nanjing211111 China School of Cyber Science and Engineering Southeast University Nanjing211102 China

ISBN: (纸本)9798350390643

To satisfy the service-side requirements for network layer authentication and traceability of users, this paper proposes a method for mobile terminal authentication and identity tracing based on IPv6 and blockchain. Our method introduces a new verification function (VEF) to verify the interface identification between the terminal and the 5G core network (5GC), thereby effectively enhancing the security of terminal access. Furthermore, considering the privacy protection of user identity information to prevent attackers from deducing encrypted content, it is necessary to periodically update encryption keys. Focusing on the practical deployment of VEFs on a network-wide scale and server-proximal for authentication and traceability, a time-varying key sharing scheme based on blockchain is proposed. The experimental section analyzes the communication performance and security of the proposed scheme, showing that our scheme does not significantly degrade the original network performance while providing substantial security gains. © 2024 IEEE.

关键词： Authentication Protocol

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Comparative Evaluation of Wavelet Transform Methods for Surface roughness in Turning of Monel 400 Superalloy: A Precision Analysis 1

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5th International Conference on Advances in distributed Computing and Machine Learning, ICAdCML 2024

作者： Bommi, r.M. Uganya, G. Mary Joy Kinol, A. Muthu Krishnammal, P. Center for System Design Chennai Institute of Technology Chennai India Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai India SIMATS School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai India School of Electronics Engineering VIT-AP University Andhra Pradesh Amaravati India

ISBN: (数字)9789819718412

ISBN: (纸本)9789819718405

Wavelet transforms offer multi-resolution analysis capabilities, enabling the extraction of both local and global features from the surface roughness data. This research article presents a comparative evaluation of wavelet transform methods for surface roughness evaluation in the turning of Monel 400 alloy. The purpose of the study was to identify the most precise technique among the various wavelet transform methods. Surface roughness data were collected and analyzed using these methods, and their respective accuracy rates were determined. The stationary wavelet transform (SWT) had the highest accuracy rate of 89.6667%, far higher than the other approaches. TdyWT had an accuracy rate of 83.9733%, 6.4% higher than SWT. EWT accuracy was 88.5389%, 1.3% higher than SWT. The discrete wavelet transform (dWT) had an accuracy rate of 88.444%, 1.2% lower than the SWT. Multi-resolution analysis and noise filtering capabilities of stationary wavelet transform allow for a more thorough examination of surface roughness characteristics. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： discrete wavelet transforms

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Effect of silicon carbide-based iron catalyst on reactor optimization for non-oxidative direct conversion of methane

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Journal of Energy Chemistry 2023年第6期81卷 519-532,I0012页

作者： Eun-hae Sim Sung Woo Lee Jin Ju Lee Seung Ju Han Jung Ho Shin Gracia Lee Sungrok Ko Kwan-Young Lee Yong Tae Kim C1 Gas&Carbon Convergent Research Center Korea Research Institute of Chemical TechnologyDaejeon 34114Republic of Korea Department of Chemical and Biological Engineering Korea University145 Anam-roSeoul 02841Republic of Korea Department of Chemical and Biomolecular Engineering Yonsei University50 Yonsei-roSeoul 03722Republic of Korea Chemical Data-Driven Research Center Korea Research Institute of Chemical TechnologyDaejeon 34114Republic of Korea Prospective Tech.Exploring Section Basic Chemical R&D centerLottechemical Corp.Daejeon 34059Republic of Korea Department of Advanced Materials and Chemical Engineering University of Science and Technology(UST)Gajeong-dongYuseongDaejeon 34113Republic of Korea

The conversion of methane to olefins,aromatics,and hydrogen(MTOAH)can be used to stably obtain hydrocarbons when the effect of the catalytic surface is optimized from the reaction engineering *** this study,Fe/Si C catalysts were packed into a quartz tube *** catalytic surfaces of Si C and the impregnated Fe species decreased the apparent activation energies(E_a)of methane consumption in the blank reactor between 965 and 1020℃.Consequently,the hydrocarbon yield increased by 2.4times at 1020℃.Based on the model reactions of ethane,ethylene,and acetylene mixed with hydrogen in the range of 500-1020℃,an excess amount of Fe in the reactor favored the C-C coupling reaction over the selective hydrogenation of acetylene;consequently,coke formation was favored over the hydrogenation *** gas-phase reactions and catalyst properties were optimized to increase hydrocarbon yields while reducing coke *** 0.2Fe catalyst-packed reactor(0.26 wt%Fe)resulted in a hydrocarbon yield of 7.1%and a coke selectivity of<2%when the ratio of the void space of the postcatalyst zone to the catalyst space was adjusted to be≥*** on these findings,the facile approach of decoupling the reaction zone between the catalyst surface and the gas-phase reaction can provide insights into catalytic reactor design,thereby facilitating the scale-up from the laboratory to the commercial scale.

关键词： Non-oxidative methane conversion Ethylene Aromatic Methane pyrolysis Fe/SiC Coke resistance Catalytic reactor

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A study on Optimization of Combined load between Cartridge and Holder using a GBO Algorithm 8

A study on Optimization of Combined load between Cartridge a...

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8th International Conference on Business and Industrial research, ICBIr 2023

作者： Oh, Won Bin Lee, Bo ram Na, Hyun Ho Lee, Byung Woo Cho, Han dong Kim, Ill Soo Mokpo National University Mechanical Engineering Muan Korea Republic of Korea Marine Equipment Research Institute Coastal Marine Technology Research Center Mokpo Korea Republic of Dana Medical Corporate R&d Center Jangseong Korea Republic of

ISBN: (纸本)9798350399646

recently, oriental medicine has been increased when the aging population is intensifying and medical expenses for the elderly are increasing. In the oriental medical device market, fine parts are mainly manufactured manually, and this technique is known as a technique that requires very high precision. In order to foster the oriental medicine industry, it is essential to develop complex mold technology for the mass production of oriental medical devices. Cartridges, cartridge holders, etc., which are parts of an automatic magnetic needle, are mass-produced through molds. However, there are cases in which the automatic magnetic needle does not work well during extraction because the cartridge and holder are not properly combined in the molding process. Therefore, the importance of cartridge and cartridge holder manufacturing technology affecting the specification of the automatic magnetic needle and related research is urgently required. Therefore, the purpose of this study is to perform FEM analysis based on the mold process variable conditions and predict the mold process by checking the total deformation, equivalent stress, and safety factor. In addition, the GBO algorithm, an optimization technique, was developed based on the result values derived from structural analysis, objective function and limit function were derived, and the optimal coupling load was selected. © 2023 IEEE.

关键词： Molds

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rational manipulation of electrolyte to induce homogeneous SEI on hard carbon anode for sodium-ion battery

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Journal of Energy Chemistry 2024年第7期94卷 414-429页

作者： Lu Liu Lingling Xiao Zhi Sun Shahid Bashir ramesh Kasi Yonghong Gu ramesh Subramaniam Research Center for Clean Utilization Technology Phosphorous Resources Hubei Three Gorges PolytechnicYichang 443000HubeiChina Department of Physics Faculty of ScienceUniversiti MalayaKuala Lumpur 50603Malaysia UM Power Energy Dedicated Advanced Centre(UMPEDAC) Level 4Wisma R&DUniversiti MalayaKuala Lumpur 59990Malaysia Department of Chemistry Saveetha School of EngineeringInstitute of Medical and Technical ScienceSaveetha UniversityChennai 602105TamilnaduIndia

Sodium-ion batteries (SIBs) have great potential to be the next major energy storage devices due to their obvious advantages and developing advanced electrodes and electrolytes is urgently necessary to promote its future ***,hard carbon as a state-of-the-art anode of SIBs still suffers from the low initial Coulomb efficiency and unsatisfactory rate capability,which could be improved by forming desirable solid electrolyte interphases (SEI) to some ***,the chemistry and morphology of these interfacial layers are fundamental parameters affecting the overall battery operation,and optimizing the electrolyte to dictate the quality of SEI on hard carbon is a key ***,this review summarizes the recent research on SEI design by electrolyte manipulation from solvents,salts,and *** also presents some potential mechanisms of SEI formation in various electrolyte ***,the current advanced characterization techniques for electrolyte and SEI structure analyses have been comprehensively ***,current challenges and future perspectives of SEI formation on hard carbon anode for SIBs are provided from the viewpoints of its compositions,evolution processes,structures,and characterization techniques,which will promote SEI efficient manipulation and improve the performance of hard carbon,and further contribute to the development of SIBs.

关键词： SEI Electrolyte optimization Hard carbon Electrochemical performance Sodium-ion batteries

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A comprehensive review on the resynthesis of ternary cathode active materials from the leachate of Li-ion batteries

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Journal of Energy Chemistry 2024年第8期95卷 446-463,I0010页

作者： dongwoo Kim Hyeoncheol Joo Chanmin Kim Seoa Kim Wan-Yi Kim Sangwoo Han Joongkil Park Soyeon Park Heechul Jung Sanghyuk Park Kyungjung Kwon Department of Energy and Mineral Resources Engineering Sejong UniversitySeoul 05006Republic of Korea LIB Recycling Research Group LIB Materials R&D CenterPOSCO HoldingsPohang 37859Republic of Korea Department of Future Energy Convergence Seoul National University of Science&Technology232 Gongreung-roNowon-guSeoul 01811Republic of Korea Autonomous Intelligent Unmanned Flying Vehicles Institute Sejong UniversitySeoul 05006Republic of Korea

This review highlights the importance of recovering valuable metals from spent Li-ion battery(LIB)cathodes through the resynthesis of cathode active materials(CAMs).The resynthesis process of CAMs,a promising recycling method that directly produces CAM precursors from LIB leachate,is *** process encompasses six key steps,including pretreatment,leaching,purification,adjustment of metal concentrations,precursor synthesis,and *** review also investigates the potential introduction of impurity elements during CAM resynthesis and provides tolerance levels for these impurities based on thorough reference ***,it addresses challenges related to the commercialization of the resynthesis ***,this review represents the first comprehensive assessment of CAM resynthesis,including the systematic evaluation of 12 impurity elements(Fe,Li,Al,Cu,C,P,F,Na,Cl,S,Mg,and Zn).Overall,this comprehensive review is poised to support the commercial development of resynthesized CAMs by offering valuable guidelines for managing impurities and streamlining the purification process.

关键词： Li-ion battery recycling resynthesis Leachate Impurity

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