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International Conference on Condition Monitoring and Diagnosis, CMD

作者： M. Z. H. Makmud M. Michael Tuan A. Z. Rahman Z. Jamain K. N. M. Amin H. A. Illias Energy Lab Green Technologies and Advanced Matter (GREAT) Research Group Faculty of Science and Natural Resources Universiti Malaysia Sabah Kota Kinabalu Sabah MALAYSIA IoT Systems Lab MIMOS Berhad MRANTI Technology Park Bukit Jalil Kuala Lumpur MALAYSIA Faculty of Chemical and Process Engineering Technology College of Engineering Technology Universiti Malaysia Pahang Pahang MALAYSIA Department of Electrical Engineering UM High Voltage Laboratory (UMHVL) Faculty of Engineering University of Malaya Kuala Lumpur MALAYSIA

ISBN: (数字)9788986510225

ISBN: (纸本)9798350353877

The development of advanced electrical insulation materials is crucial for the sustainability and efficiency of electrical systems, particularly in high-voltage applications. This study investigates the influence of cellulose nanocrystal (CNC) nanofillers on the dielectric and electrical performance of epoxy composites, aiming to enhance the durability and effectiveness of biomaterial-based electrical insulation. Epoxy samples with varying CNC concentrations (0, 0.5, 1, 3, and 5 wt%) were prepared and characterized. Key performance indicators, including dielectric permittivity, dielectric loss, current-voltage response, and electrical discharge activity, were measured and analyzed. The results demonstrated a clear correlation between reduced real and imaginary permittivity, increased resistance, and improved discharge withstandability, highlighting the effectiveness of CNC as a nanofiller in enhancing the insulating properties of epoxy composites. These findings suggest a promising avenue for developing robust, high-performance electrical insulators capable of meeting the stringent demands of sustainable and environmentally friendly applications.

关键词： Insulation Correlation Nanocomposites Dielectric loss measurement Discharges (electric) Dielectrics Permittivity Sustainable development Stress Immune system

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An atomistic lattice dynamics approach for free energy calculations within crystal structure prediction studies

An atomistic lattice dynamics approach for free energy calcu...

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2020 AIChE Annual Meeting

作者： Konstantinopoulos, Stefanos Sugden, Isaac J. Reutzel-Edens, Susan M. Pantelides, Constantinos Adjiman, Claire Molecular Systems Engineering Centre for Process Systems Engineering Department of Chemical Engineering Imperial College London United Kingdom Small Molecules Design and Development Eli Lilly and Company IndianapolisIN United States

ISBN: (纸本)9780816911141

A plethora of organic molecules exhibit polymorphism, which refers to the ability of chemical compounds to pack intodifferent crystalline motifs. This phenomenon is of special importance both to industry and academia since physicaland chemical properties, such as solubility, bioavailability and mechanical strength may vary tremendously betweenpolymorphs. From a thermodynamic standpoint, polymorphs can be identified as minima on the free energy (FE)landscape, with the most stable form corresponding to the global minimum and other forms corresponding to localminima (metastable structures). This thermodynamic understanding has motivated the development of crystalstructure prediction (CSP) tools that are designed to determine all polymorphs for a given compound with the correctorder of stability based on minimal information, such as the chemical connectivity diagram . Recent advances in CSP were highlighted in the last blind test organised by Cambridge Crystallographic Data Centre .It is worth noting that only 7 out of the 25 groups participating in the last test have incorporated FE calculations withintheir workflow, while the remaining groups used only lattice energy in their predictions, thus neglecting temperatureand vibrational effects. Lattice dynamics (LD) theory was deployed successfully for the evaluation of vibrational freeenergies, utilizing either dispersion-corrected periodic density functional theory (DFT-d) or force field methods basedon distributed multipoles expansion (DMA). DFT-d can provide very accurate results at a high computational cost,whereas the DMA-based approach provides a good trade-off between accuracy and efficiency but cannot account forinternal modes arising from intramolecular vibrations. A limitation of both methods is that they rely on the constructionof supercells, which increases computational demands and results in some ambiguity in the generation of dispersioncurves. In this work, we present a recently-developed methodology for pe

关键词： Calculations

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Physicochemical characterization of biochar derived from the pyrolysis of cotton gin waste and walnut shells

Physicochemical characterization of biochar derived from the...

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2022 ASABE Annual International Meeting

作者： Ndoun, Marlene C. Williams, Clinton F. Knopf, Allan Elliott, Herschel A. Mashtare, Michael L. Vozenilek, Natasha Velegol, Stephanie Veith, Tamie L. Preisendanz, Heather E. The Pennsylvania State University Department of Agricultural and Biological Engineering University ParkPA16802 United States USDA-Agricultural Research Service Arid Land Agricultural Research Center MaricopaAZ85138 United States The Pennsylvania State University Department of Chemical and Biological Engineering University ParkPA16802 United States USDA-Agricultural Research Service Pasture Systems and Watershed Management Research Unit University ParkPA16802 United States

The sustainable management of agricultural waste has gained increasing attraction worldwide, especially regarding production of value-added products that are renewable and carbon-rich. Further, as beneficial reuse of treated wastewater increases, there is a need to remove contaminants that persist in the effluent to mitigate potential impacts on the agroecosystems to which they are land-applied. Here, we characterized biochar produced from the pyrolysis of two agricultural waste products: cotton gin waste (pyrolyzed for 2 h at 700Â°C, CG700) and walnut shells (pyrolyzed for 2 h at 800Â°C, WS800) to better understand their potential applications for water quality improvement. Each biochar was characterized by Brunauer-Emmett-Teller (BET) analysis to determine the specific surface area, scanning electron microscopy (SEM) to elucidate change in morphology, Fourier Transform Infrared Spectroscopy (FT-IR) to determine surface functional groups, and zeta potential to establish the pH point of zero charge. The higher temperature used to produce WS800 led to an increase in the specific surface area and increased dehydration of the biochar (i.e., loss of the Oâˆ’H group). Pyrolysis led to destruction of the acidic functional groups and an increase in ash content, resulting in the production of hydrophobic alkaline biochars with pH values of 9.85 and 10.93 for WS800 and CG700, respectively. Zeta potential measurements demonstrated that WS800 and CG700 biochars are negatively charged, suggesting suitable applications for the removal of cationic contaminants from the environment. Overall, results demonstrated that biochars obtained from agricultural waste have the potential to be effective sorbents for decontamination of wastewater and soil. © 2022 ASABE. All Rights Reserved.

关键词： Agricultural wastes

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Simulation and Optimization of Comprehensive 4e-Assessments of Carbon Dioxide Capture of Flue Gas by Water-Lean Solvent

SSRN

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SSRN 2023年

作者： Zhan, Guoxiong Yuan, Bingling Bai, Yongfeng Duan, Yuanmeng Chen, Zhen Chen, Jianjun Li, Junhua State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing100084 China Department of Chemical and Biochemical Engineering Technical University of Denmark Kgs. Lyngby2800 Denmark

Amine-based chemisorption technology with water-lean solvent is a promising route towards low-cost CO2 capture. This paper proposes a process simulation and optimization strategy for CO2-rich solvent to reduce external steam consumption and increase the energy efficiency by split-flow heat exchange. Optimized water-lean amine-based solvent, composed of blend amines and physical solvent, was employed and its CO2 capture performance analyzed for a bench-scale continuous system. A rigorously validated process simulation method is proposed for operational optimization and comprehensive economic, exergy, environment, energy (4E) analysis of the capture process on an industrial scale. The experimental and simulation results indicated that the optimal ratio of split-flow was 0.55-0.70, with this ratio resulting in the reflux temperature increasing from 90 to 110 °C. The proportion of total energy duty that went to reaction heat was increased to 79.6% from 61% in the benchmark case;this increase was ascribed to the synergistic promotion of physical solvent and split-flow heat exchange configuration. The water-lean solvent could operate at a regeneration duty of 2.07 GJ/t CO2 with a total capture cost of US $50.40/t CO2 (27% lower than the benchmark value) from coal-fired flue gas. In summary, the net CO2 reduction can be increased by 28%, taking the utility heat-cold consumption into account. This research indicates a feasible method of taking full advantage of water-lean solvent to achieve efficient CO2 capture. © 2023, The Authors. All rights reserved.

关键词： Energy utilization

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Photocatalytic Reduction of Nickel using Synthesized nano Titanium Oxide-Acidified neem saw dust Composite from Battery waste 1

Photocatalytic Reduction of Nickel using Synthesized nano Ti...

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1st International Conference on Innovations In Nanomaterials and Nanotechnology 2019, NANOMTECH 2019

作者： Vangalapati, Meena Surendra, B. Sai Santosh, S. Nikhil, Palli Sree Venkat, M. Thanusha, Punugoti Donepudi, Anudeep Research Scholar Department of Chemical Engineering Andhra University VisakhapatnamAP India Department of Chemical Engineering Andhra University VisakhapatnamAP India Department of Information Systems CQ University Melbourne Australia

The heavy metals, present in the battery waste water released from industries are extremely toxic and pose a serious threat to public health. The physical adsorption methods are effective, but require an additional adsorbent regeneration step. The degradation of heavy metals in industrial effluents through chemical remediation has also gained tremendous attention due to its enormous applications. Photo catalytic degradation using renewable UV / sun light is one of the most promising techniques due to its simplicity and economy. Till date, various metallic/bimetallic oxides such as TiO2, ZnO, Fe2O3 have been tested for degradation of photo catalytic components due to their superior activity, low price. Attempts have been made to study the photo catalytic degradation of heavy metals using nano Titanium Oxide and Acidified neem saw dust (nTO/ANSD) composite as a photo catalyst. In this present research, nTO/ANSD composite was synthesized and assessed for photo-chemical degradation of nickel in presence of UV light. It was observed that 96.4% Nickel was reduced using photo catalytic process. The X-Ray Diffraction(XRD) and Scanning Electron Microscopy (SEM) for nTO/ANSD studies were also performed. The recovery process of the nTO/ANSD composite photo catalyst is easier and reusability studies shows that the catalyst can be reused to remove the traces of heavy metals with slight reduction in efficiency. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Heavy metals

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Efficient Distributed Learning in Stochastic Non-cooperative Games without Information Exchange

arXiv

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arXiv 2022年

作者： Li, Haidong Sheng, Anzhi Peng, Yijie Wang, Long Department of Advanced Manufacturing and Robotics College of Engineering Peking University Beijing China Center for Systems and Control College of Engineering Peking University Beijing China Guanghua School of Management Peking University Beijing China

In this work, we study stochastic non-cooperative games, where only noisy black-box function evaluations are available to estimate the cost function for each player. Since each player's cost function depends on both its own decision variables and its rivals' decision variables, local information needs to be exchanged through a center/network in most existing work for seeking the Nash equilibrium. We propose a new stochastic distributed learning algorithm that does not require communications among players. The proposed algorithm uses simultaneous perturbation method to estimate the gradient of each cost function, and uses mirror descent method to search for the Nash equilibrium. We provide asymptotic analysis for the bias and variance of gradient estimates, and show the proposed algorithm converges to the Nash equilibrium in mean square for the class of strictly monotone games at a rate faster than the existing algorithms. The effectiveness of the proposed method is buttressed in a numerical experiment. Copyright © 2022, The Authors. All rights reserved.

关键词： Game theory

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Signaling dynamics in microbial communities: A reduced-complexity mathematical analysis

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chemical engineering Science 2025年

作者： Jian Wang Ihab Hashem Satyajeet Bhonsale Jan F.M. Van Impe BioTeC+ Chemical and Biochemical Process Technology and Control Department of Chemical Engineering KU Leuven Ghent Belgium

Quorum sensing (QS) enables bacterial communities to coordinate behaviors essential for survival and competitiveness. However, QS systems are vulnerable to exploitation, where an exploitative strain manipulates QS signals without incurring metabolic costs. Here, we introduce a reduced-complexity mathematical framework to examine how metabolic investments in signaling by the focal QS strain can influence its population fitness under exploitation. Our results demonstrate that intermediate metabolic investment in QS signaling optimizes population fitness, preventing premature activation of costly traits while maintaining competitive resilience. Moreover, the numerical analysis identifies robust “no-loss” regions where focal QS strain sustains its fitness despite exploitation. Finally, the game-theoretic analysis reveals that an evolutionarily stable state (ESS) emerges when both the QS and exploitative strain adopt intermediate investment levels. This work provides a quantitative framework for understanding microbial signaling dynamics, offering insights into designing synthetic QS-based microbial systems for antimicrobial and biotechnological applications.

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BotScan: An Unsupervised Bot Detection Based on Adversarial Learning and Social Perception

BotScan: An Unsupervised Bot Detection Based on Adversarial ...

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Asian control Conference

作者： Hong Lin Nuo Chen Yang Chen Xiang Li Cong Li Department of Electronic Engineering Adaptive Networks and Control Lab School of Information Science and Technology Fudan University China Shanghai Key Lab of Intelligent Information Processing School of Computer Science Fudan University China The Institute of Complex Networks and Intelligent Systems Shanghai Research Institute for Intelligent Autonomous Systems Tongji University China

ISBN: (数字)9789887581598

ISBN: (纸本)9798331540845

Within online social networks, the rapid expansion of automated accounts, known as social bots, poses a significant challenge. This dynamic has sparked a strategic contest between bots and detectors. Both sides continually learn and adjust their strategies to gain an edge in this silent war. To effectively manage risks from bot evolution, proactive detection methods have garnered widespread attention. In this work, we propose a graph-based and structure-aware adversarial learning framework for multi-category social bot detection. In detail, we adopt a categorical generative adversarial network to create synthetic evolved bot samples for adversarial learning, aiming to boost the detection performance. Besides, we design a user representation learning module, including local and remote feature extractors to mine neighborhood information and achieve multiple network structure representations. Results demonstrate that our model outperforms state-of-the-art approaches and exhibits strong robustness.

关键词： Representation learning Training Technological innovation Social networking (online) Image edge detection Detectors Feature extraction

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Sustainable, Decentralized Water Treatment System Fabricated from Domestic Waste Materials and Ultrafast-Reduced Graphene Oxide

SSRN

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SSRN 2023年

作者： Gong, Feng Wang, Sijun Li, Hao Huang, Jigang Papavassiliou, Dimitrios V. Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education School of Energy and Environment Southeast University Nanjing211189 China Department of Mechanical Engineering The University of Hong Kong Hong Kong School of Mechanical Engineering Sichuan University Chengdu610065 China School of Chemical Biological and Materials Engineering University of Oklahoma NormanOK73019 United States

The demand for fresh water will increase in the coming decades as the world population grows. While large-scale water purification plants will serve highly populated areas, the demand of fresh water will continue to grow even in rete and potentially under-developed locations. In this work, it has been shown that fresh water can be produced from seawater or mildly polluted water using waste paper and direct solar exposure, without the need of electricity during water purification. The highly efficient solar evaporation system proposed here, which is based on graphene/cellulose aerogels, can be fabricated quickly without highly technical skills, requiring only a microwave oven, graphene oxide samples, and cellulose fibers obtained from packaging (i.e., waste paper and polyethylene foams). The produced aerogels show high photo-thermal conversion, excellent hydrophilicity and low thermal conductivity, properties that are conducive to evaporation rates as high as 1.83 kg m-2 h-1, photo-thermal efficiency of 92%, and stability for more than 40 operation cycles. Despite using waste materials, these performance metrics are superior to those reported for most materials to date, and are a consequence of the manufacturing process described here. Field tests confirmed that 1 m2 of the as-prepared aerogels can produce between 6.44 and 11.27 kg of fresh water from seawater or polluted water in a 12-hour period, which is the daily amount of drinking water required for three adults based on World Health Organization projections. © 2023, The Authors. All rights reserved.

关键词： Aerogels

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Constructing“π–π”Reinforced Bridge Carbon Nanofibers with Highly Active Co‑N/C@pyridine N/C@CNTs Sites as Free‑Standing Bifunctional Oxygen Electrodes for Zn–Air Batteries

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Advanced Fiber Materials 2024年第4期6卷 1108-1121页

作者： Tuo Lu Nengneng Xu Liyuan Guo Benji Zhou Lingyu Dai Woochul Yang Guicheng Liu Joong Kee Lee Jinli Qiao State Key Laboratory for Modification of Chemical Fibers and Polymer Materials and College of Environmental Science and Engineering Donghua UniversityShanghai 201620People’s Republic of China Shanghai Institute of Pollution Control and Ecological Security Shanghai 200092People’s Republic of China Department of Physics Dongguk UniversitySeoul 04620Republic of Korea School of Energy Power and Mechanical Engineering North China Electric Power UniversityBeijing 102206People’s Republic of China Energy Storage Research Center and Clean Energy Institute Korea Institute of Science and TechnologySeoul 02792Republic of Korea

Rechargeable Zn-air batteries(ZABs)have received extensive attention,while their real applications are highly restricted by the slow kinetics of the oxygen reduction and oxygen evolution reactions(ORR/OER).Herein,we report a“bridge”structured flexible self-supporting bifunctional oxygen electrode(CNT@Co-CNFF50-900)with strong active and stable Co-N/C@pyridine N/C@CNTs reaction *** from the electron distribution optimization and the advantages of hierarchical catalytic design,the CNT@Co-CNF_(F50-900)electrode had superior ORR/OER activity with a small potential gap(ΔE)of 0.74 *** by highly graphitized carbon and the“π-π”bond,the free-standing CNT@Co-CNFF50-900 electrode exhibited outstanding catalytic stability with only 36 mV ***,the CNT@Co-CNFF50-900-based liquid ZAB showed a high power density of 371 mW cm^(−2),a high energy density of 894 Wh kg^(−1),and a long cycling life of over 130 *** assembled quasi-solid-state ZAB also demonstrated a high power density,attaining 81 mW cm^(−2),with excellent charge-discharge durability beyond 100 h and extremely high flexibility under the multi-angle *** study provides an effective electrospinning solution for integrating high-efficiency electrocatalysts and electrodes for energy storage and conversion devices.

关键词： Electrospinning MOF-derived carbon tube Bifunctional oxygen catalytic electrode “Bridge”structure Zn–air battery

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