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arXiv 2022年

作者： Bano, Sophia Casella, Alessandro Vasconcelos, Francisco Qayyum, Abdul Benzinou, Abdesslam Mazher, Moona Meriaudeau, Fabrice Lena, Chiara Cintorrino, Ilaria Anita De Paolis, Gaia Romana Biagioli, Jessica Grechishnikova, Daria Jiao, Jing Bai, Bizhe Qiao, Yanyan Bhattarai, Binod Gaire, Rebati Raman Subedi, Ronast Vazquez, Eduard Plotka, Szymon Lisowska, Aneta Sitek, Arkadiusz Attilakos, George Wimalasundera, Ruwan David, Anna L. Paladini, Dario Deprest, Jan De Momi, Elena Mattos, Leonardo S. Moccia, Sara Stoyanov, Danail Department of Computer Science University College London United Kingdom Department of Advanced Robotics Istituto Italiano di Tecnologia Italy Department of Electronics Information and Bioengineering Politecnico di Milano Italy The BioRobotics Institute Department of Excellence in Robotics and AI Scuola Superiore Sant'Anna Italy Fetal Medicine Unit Elizabeth Garrett Anderson Wing University College London Hospital United Kingdom EGA Institute for Women's Health Faculty of Population Health Sciences University College London United Kingdom Department of Development and Regeneration University Hospital Leuven Belgium Department of Fetal and Perinatal Medicine Istituto Giannina Gaslini Italy ENIB UMR CNRS 6285 LabSTICC 29238 France Department of Computer Engineering and Mathematics University Rovira i Virgili Spain ImViA Laboratory University of Bourgogne Franche-Comté France Physics Department Lomonosov Moscow State University Russia Fudan University China Medical Computer Vision and Robotics Group Department of Mathematical and Computational Sciences University of Toronto Canada Co. Ltd China NepAL Applied Mathematics and Informatics Institute for Research Nepal Redev Technology United Kingdom Sano Center for Computational Medicine Poland Quantitative Healthcare Analysis Group Informatics Institute University of Amsterdam Amsterdam Netherlands Center for Advanced Medical Computing and Simulation Massachusetts General Hospital Harvard Medical School BostonMA United States

Fetoscopy laser photocoagulation is a widely adopted procedure for treating Twin-to-Twin Transfusion Syndrome (TTTS). The procedure involves photocoagulation pathological anastomoses to restore a physiological blood exchange among twins. The procedure is particularly challenging, from the surgeon's side, due to the limited field of view, poor manoeuvrability of the fetoscope, poor visibility due to amniotic fluid turbidity, and variability in illumination. These challenges may lead to increased surgery time and incomplete ablation of pathological anastomoses, resulting in persistent TTTS. Computer-assisted intervention (CAI) can provide TTTS surgeons with decision support and context awareness by identifying key structures in the scene and expanding the fetoscopic field of view through video mosaicking. research in this domain has been hampered by the lack of high-quality data to design, develop and test CAI algorithms. Through the Fetoscopic Placental Vessel Segmentation and Registration (FetReg2021) challenge, which was organized as part of the MICCAI2021 Endoscopic Vision (EndoVis) challenge, we released the first large-scale multi-center TTTS dataset for the development of generalized and robust semantic segmentation and video mosaicking algorithms with a focus on creating drift-free mosaics from long duration fetoscopy videos. For this challenge, we released a dataset of 2060 images, pixel-annotated for vessels, tool, fetus and background classes, from 18 in-vivo TTTS fetoscopy procedures and 18 short video clips of an average length of 411 frames for developing placental scene segmentation and frame registration for mosaicking techniques. Seven teams participated in this challenge and their model performance was assessed on an unseen test dataset of 658 pixel-annotated images from 6 fetoscopic procedures and 6 short clips. The challenge provided an opportunity for creating generalized solutions for fetoscopic scene understanding and mosaicking. In this paper,

关键词： Pixels

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Direct Monitoring of Li2S2Evolution and Its Influence on the Reversible Capacities of Lithium-Sulfur Batteries

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Angewandte Chemie 2023年第11期135卷

作者： Dr. Yufeng Luo Dr. Zhenhan Fang Dr. Shaorong Duan Hengcai Wu Dr. Haitao Liu Dr. Yuxing Zhao Dr. Ke Wang Prof. Qunqing Li Prof. Shoushan Fan Prof. Zijian Zheng Prof. Wenhui Duan Prof. Yuegang Zhang Prof. Jiaping Wang Tsinghua-Foxconn Nanotechnology Research Center Tsinghua University Beijing 100084 China Laboratory for Advanced Interfacial Materials and Devices School of Fashion and Textiles The Hong Kong Polytechnic University Hong Kong SAR 99077 China Department of Physics Tsinghua University Beijing 100084 China Laboratory of Computational Physics Institute of Applied Physics and Computational Mathematics Beijing 100088 China School of Materials Science and Technology China University of Geosciences Beijing 100083 China Frontier Science Center for Quantum Information Tsinghua University Beijing 100084 China State Key Laboratory of Low-Dimensional Quantum Physics Tsinghua University Beijing 100084 China

The polysulfide (PS) dissolution and low conductivity of lithium sulfides (Li 2 S) are generally considered the main reasons for limiting the reversible capacity of the lithium-sulfur (Li-S) system. However, as the inevitable intermediate between PSs and Li 2 S, lithium disulfide (Li 2 S 2 ) evolutions are always overlooked. Herein, Li 2 S 2 evolutions are monitored from the operando measurements on the pouch cell level. Results indicate that Li 2 S 2 undergoes slow electrochemical reduction and chemical disproportionation simultaneously during the discharging process, leading to further PS dissolution and Li 2 S generation without capacity contribution. Compared with the fully oxidized Li 2 S, Li 2 S 2 still residues at the end of the charging state. Therefore, instead of the considered Li 2 S and PSs, slow electrochemical conversions and side chemical reactions of Li 2 S 2 are the determining factors in limiting the sulfur utilization, corresponding to the poor reversible capacity of Li-S batteries.

关键词： Lithium Disulfides Chemical Reactions Conductive Interlayer Lithium Sulfur Battery Operando Measurement

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Activating Bip-orbitals in Dispersed Clusters of Amorphous BiOxfor Electrocatalytic Nitrogen Reduction

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Angewandte Chemie 2023年第15期135卷

作者： Dr. Jianxin Kang Xiangyu Chen Rutong Si Prof. Xiang Gao Prof. Shuo Zhang Prof. Gilberto Teobaldi Prof. Annabella Selloni Li-Min Liu Prof. Lin Guo School of Chemistry Beijing Advanced Innovation Center for Biomedical Engineering Key Laboratory of Bio-Inspired Smart Interfacial Science and Technology Beihang University Beijing 100191 China Beijing Computational Science Research Center Beijing 100193 China School of Physics Beihang University Beijing 100191 China Center for High Pressure Science and Technology Advanced Research Beijing 100190 China Shanghai Synchrotron Radiation Facility Shanghai Institute of Applied Physics Chinese Academy of Sciences Shanghai 201204 China Scientific Computing Department STFC UKRI Rutherford Appleton Laboratory Didcot OX11 0QX UK School of Chemistry University of Southampton Highfield Southampton SO17 1BJ UK Department of Chemistry Princeton University Princeton NJ 08544 USA

Catalytic strategies based on main group metals are significantly less advanced than those of transition metal catalysis, leaving untapped areas of potentially fruitful research. We here demonstrate an effective approach for the modulation of Bi 6p energy levels during the construction of atomically dispersed clusters of amorphous BiO x . Bi oxidation state is proposed to strongly affects the nitrogen fixation activity, with the half-occupied p z orbitals of the Bi 2+ ions being highly efficient toward electron injection into the inert N 2 molecule. With sufficient catalytic sites to adsorb and activate N 2 , the bonding between N 2 and catalyst is able to be in situ identified. The catalyst shows an outstanding Faraday efficiency (≈30 %) and high yield (≈113 μg h −1 mg −1 cat ) in NH 3 production, outperforming most of the existing catalysts in aqueous solution. These results lay the basis for developing the potential of p- block elements for catalysis of multi-electron reactions.

关键词： Amorphous Nanomaterial Electrocatalysis In Situ Identification Nitrogen Fixation p-Orbitals

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Efficient MedSAMs: Segment Anything in Medical Images on Laptop

arXiv

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arXiv 2024年

作者： Ma, Jun Li, Feifei Kim, Sumin Asakereh, Reza Le, Bao-Hiep Nguyen-Vu, Dang-Khoa Pfefferle, Alexander Wei, Muxin Gao, Ruochen Lyu, Donghang Yang, Songxiao Purucker, Lennart Marinov, Zdravko Staring, Marius Lu, Haisheng Dao, Thuy Thanh Ye, Xincheng Li, Zhi Brugnara, Gianluca Vollmuth, Philipp Foltyn-Dumitru, Martha Cho, Jaeyoung Mahmutoglu, Mustafa Ahmed Bendszus, Martin Pflüger, Irada Rastogi, Aditya Ni, Dong Yang, Xin Zhou, Guang-Quan Wang, Kaini Heller, Nicholas Papanikolopoulos, Nikolaos Weight, Christopher Tong, Yubing Udupa, Jayaram K. Patrick, Cahill J. Wang, Yaqi Zhang, Yifan Contijoch, Francisco McVeigh, Elliot Ye, Xin He, Shucheng Haase, Robert Pinetz, Thomas Radbruch, Alexander Krause, Inga Kobler, Erich He, Jian Tang, Yucheng Yang, Haichun Huo, Yuankai Luo, Gongning Kushibar, Kaisar Amankulov, Jandos Toleshbayev, Dias Mukhamejan, Amangeldi Egger, Jan Pepe, Antonio Gsaxner, Christina Luijten, Gijs Fujita, Shohei Kikuchi, Tomohiro Wiestler, Benedikt Kirschke, Jan S. de la Rosa, Ezequiel Bolelli, Federico Lumetti, Luca Grana, Costantino Xie, Kunpeng Wu, Guomin Puladi, Behrus Martín-Isla, Carlos Lekadir, Karim Campello, Victor M. Shao, Wei Brisbane, Wayne Jiang, Hongxu Wei, Hao Yuan, Wu Li, Shuangle Zhou, Yuyin Wang, Bo AI Collaborative Centre University Health Network Department of Laboratory Medicine and Pathobiology University of Toronto Vector Institute Toronto Canada Peter Munk Cardiac Centre University Health Network Toronto Canada Toronto General Hospital Research Institute University Health Network Department of Computer Science University of Toronto University Health Network Vector Institute Toronto Canada University of Science Vietnam National University Ho Chi Minh City Viet Nam Institute of Computer Science University of Freiburg Freiburg Germany School of Medicine and Health Harbin Institute of Technology Harbin China Division of Image Processing Department of Radiology Leiden University Medical Center Leiden Netherlands Department of System and Control Engineering School of Engineering Institute of Science Tokyo Formerly Tokyo Institute of Technology Tokyo Japan Institute for Anthropomatics and Robotics Karlsruhe Institute of Technology Karlsruhe Germany School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China School of Electrical Engineering and Computer Science University of Queensland Brisbane Australia School of Cyberspace Hangzhou Dianzi University Hangzhou China Division for Computational Radiology and Clinical AI The Department of Neuroradiology University Hospital Bonn Germany Division for Computational Radiology and Clinical AI The Department of Neuroradiology University Hospital Bonn Germany Department of Neuroradiology Heidelberg University Hospital Heidelberg Germany Division for Computational Radiology and Clinical AI Department of Neuroradiology University Hospital Bonn Germany School of Biomedical Engineering Shenzhen University Shenzhen China School of Biological Science and Medical Engineering Southeast University Nanjing China Department of Urology Cleveland Clinic Cleveland United States Department of Computer Science University of Minnesota Minneapolis United St

Promptable segmentation foundation models have emerged as a transformative approach to addressing the diverse needs in medical images, but most existing models require expensive computing, posing a big barrier to their adoption in clinical practice. In this work, we organized the first international competition dedicated to promptable medical image segmentation, featuring a large-scale dataset spanning nine common imaging modalities from over 20 different institutions. The top teams developed lightweight segmentation foundation models and implemented an efficient inference pipeline that substantially reduced computational requirements while maintaining state-of-the-art segmentation accuracy. Moreover, the post-challenge phase advanced the algorithms through the design of performance booster and reproducibility tasks, resulting in improved algorithms and validated reproducibility of the winning solution. Furthermore, the best-performing algorithms have been incorporated into the open-source software with a user-friendly interface to facilitate clinical adoption. The data and code are publicly available to foster the further development of medical image segmentation foundation models and pave the way for impactful real-world applications. © 2024, CC BY-NC-SA.

关键词： Open source software

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A dual-purpose binder-free FeNiS 2 -Decorated Ti 3 C 2 T x nanocomposite for supercapacitor and catalytic hydrogen evolution reaction

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Journal of Power Sources 2025年 649卷

作者： Brindha Devi Sankar Sankar Sekar Veeramuthu Vignesh Jrjeng Ruan Rajkumar Nirmala Youngmin Lee Sejoon Lee Pei-Chien Tsai Shang-Cyuan Chen Yuan-Chung Lin Vinoth Kumar Ponnusamy Rangaswamy Navamathavan Department of Physics School of Advanced Sciences Vellore Institute of Technology (VIT) Chennai Vandalur - Kelambakkam Road Chennai 600127 India Department of Material Science and Engineering National Cheng Kung University Tainan 70101 Taiwan Department of Semiconductor Science Dongguk University-Seoul 04620 Republic of Korea Quantum-functional Semiconductor Research Center Dongguk University-Seoul 04620 Republic of Korea Division of Advanced Materials Engineering College of Engineering Research Center for Advanced Materials Development (RCAMD) Jeonbuk National University (JBNU) Jeonju 54896 Republic of Korea Department of Biotechnology Hindustan College of Arts and Science Affiliated to University of Madras Padur Chennai 603103 India Department of Medicinal and Applied Chemistry Kaohsiung Medical University (KMU) Kaohsiung city 807 Taiwan Department of Computational Biology Institute of Bioinformatics Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Chennai Tamil Nadu 602105 India Department of Environmental Science and Occupational Safety and Hygiene Tajen University Pingtung 907 Taiwan Center for Emerging Contaminants Research National Sun Yat-sen University Kaohsiung city 804 Taiwan Institute of Environmental Engineering National Sun Yat-sen University Kaohsiung city 804 Taiwan Research Center for Precision Environmental Medicine Kaohsiung Medical University (KMU) Kaohsiung City 807 Taiwan Department of Medical Research Kaohsiung Medical University Hospital (KMUH) Kaohsiung Medical University Kaohsiung City 807 Taiwan

This study is focused on developing novel electrode material, FeNi-based sulfide nanoparticles (FNS) incorporated onto titanium carbide (Ti 3 C 2 T x , TC, MXene) deposited on Ni foam (NF), termed as FNS@NF/TC, for energy conversion and storage application. This nanocomposite offers an improved conductivity, and stability for electrocatalytic hydrogen evolution reaction (HER) and electrochemical capacitor applications. This FNS@NF/TC nanostructured electrode is fabricated by using a binder-free technique, which is simple electrochemical deposition. The fabricated electrode shows a higher specific capacitance of 1460 F/g at the current density of 2 A/g with capacitance retention of 91.8 % and coulombic efficiency of 92 % after 5000 cycles. In the case of electrocatalytic water splitting HER, the lower overpotential is calculated at around 104 mV at the current density of 10 mA/cm 2 and decreased Tafel slope of around 65 mV/dec for the FNS@NF/TC nanostructured electrode with good stability after 12 h in chronopotentiometry technique. Overall, the deposition of FeNiS 2 on the Ti 3 C 2 T x @NF composite enhances ion transport and storage capacity, positioning it as an up-and-coming candidate for efficient and sustainable energy conversion and storage solutions in the energy sector.

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Retraction notice to ‘Applications of engineered biochar in remediation of heavy metal(loid)s pollution from wastewater: Current perspectives toward sustainable development goals’ [Sci. Total Environ., 926 (2024) 171859] (science of the Total Environment (2024) 926, (S0048969724020023), (10.1016/***.2024.171859))

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science of the Total Environment 2025年 976卷 179291页

作者： Tran, Thien-Khanh Huynh, Loan Nguyen, Hoang-Lam Nguyen, Minh-Ky Lin, Chitsan Hoang, Tuan-Dung Hung, Nguyen Tri Q. Nguyen, X. Hoan Chang, S. Woong Nguyen, D. Duc Advanced Applied Sciences Research Group Dong Nai Technology University Bien Hoa City76100 Viet Nam Faculty of Technology Dong Nai Technology University Bien Hoa City76100 Viet Nam Department of Civil Engineering McGill University Montreal Canada Faculty of Environment and Natural Resources Nong Lam University Hamlet 6 Linh Trung Ward Thu Duc City Ho Chi Minh City700000 Viet Nam Ph.D. Program in Maritime Science and Technology National Kaohsiung University of Science and Technology Kaohsiung81157 Taiwan Department of Marine Environmental Engineering National Kaohsiung University of Science and Technology Kaohsiung81157 Taiwan School of Chemistry and Life Science Hanoi University of Science and Technology No. 1 Dai Co Viet Hai Ba Trung Hanoi100000 Viet Nam Vietnam National University Hanoi - School of Interdisciplinary Sciences and Arts 144 Xuan Thuy Street Cau Giay District Hanoi100000 Viet Nam Ho Chi Minh City University of Industry and Trade Ho Chi Minh City Viet Nam Department of Civil & Energy System Engineering Kyonggi University Suwon16227 Korea Republic of Institute of Applied Technology and Sustainable Development Nguyen Tat Thanh University Ho Chi Minh City700000 Viet Nam

This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://***/about/policies/article-withdrawal). This article has been retracted at the request of the Authors. The corresponding author approached the journal to make it aware that significant portions of the text of the STOTEN article had already been included in the following publication involving several members of the same authorship group: Minh-Ky Nguyen, Chitsan Lin, Nguyen Tri Quang Hung, Hoang-Lam Nguyen, Hong-Giang Hoang, Huu-Tuan Tran, Mohammed Hadi, Chapter 8 - Biochar and engineering applications in remediation of heavy metal pollutants from wastewater toward sustainable development, Editor(s): Xuan-Thanh Bui, Ashok Pandey, Thanh-Tin Nguyen, Shu-Yuan Pan, Low Cost Water and Wastewater Treatment Systems: Conventional and Recent Advances, Elsevier, 2025, Pages 195-233, ISBN 9780443236624, https://***/10.1016/B978-0-443-23662-4.00016-0. The authors realise that redundant publications overweigh the relative importance of published findings, and therefore requested the retraction of the STOTEN article. The authors also apologies for any inconvenience caused. © 2025 Elsevier B.V.

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Effect of Stark shift on low-energy interference structure in strong-field ionization

arXiv

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arXiv 2020年

作者： Yang, Weifeng Li, Jie Jia, Wenbin Zhang, Hongdan Liu, Xiwang Zhu, Ming Song, Xiaohong Chen, Jing Research Center for Advanced Optics and Photoelectronics Department of Physics College of Science Shantou University Shantou Guangdong515063 China Institute of Mathematics Shantou University Shantou Guangdong515063 China MOE Key Laboratory of Intelligent Manufacturing Technology Shantou University Shantou Guangdong515063 China HEDPS Center for Applied Physics and Technology Peking University Beijing100084 China Institute of Applied Physics and Computational Mathematics P. O. Box 8009 Beijing100088 China

An improved quantum trajectory Monte Carlo method involving the Stark shift of the initial state, Coulomb potential, and multielectron polarization-induced dipole potential is used to revisit the origin of the low-energy interference structure in the photoelectron momentum distribution of the xenon atom subjected to an intense laser field, and resolve the different contributions of these three effects. In addition to the well-studied radial finger-like interference structure, a ring-like interference structure induced by interference among electron wave packets emitted from multicycle time windows of the laser field is found in the low energy part of the photoelectron momentum spectrum. It is attributed to the combined effect of the Coulomb potential and Stark shift. Our finding provides new insight into the imaging of electron dynamics of atoms and molecules with intense laser fields. © 2020, CC BY.

关键词： Monte Carlo methods

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Nanocomposites over modified multiwalled carbon nanotubes for the removal of cationic dye from water

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Total Environment research Themes 2022年 3-4卷

作者： Adnan Abdullah, Thamer Juzsakova, Tatjána Le, Phuoc-Cuong Le, Hoang-Son Adelikhah, Mohammademad Taleb Rasheed, Rashed Dawood Salman, Ali Domokos, Endre Kułacz, Karol Cuong Nguyen, X. Sustainability Solutions Research Lab University of Pannonia Egyetem str. 10 Veszprém H-8200 Hungary The University of Danang-University of Science and Technology Nguyen Luong Bang 54 Danang 550000 Viet Nam Institute of Radiochemistry and Radioecology University of Pannonia 10 Egyetem str. Veszprém 8200 Hungary Chemistry Branch Applied Sciences Department University of Technology Baghdad Iraq Department of Chemical and Petroleum Refining Engineering /College of Oil and Gas Engineering Basra University Iraq Faculty of Chemistry University of Wroclaw F. Joliot-Curie 14 Wrocław 50-383 Poland Center for Advanced Chemistry Institute of Research and Development Duy Tan University Da Nang 550000 Viet Nam Faculty of Environmental and Chemical Engineering Duy Tan University Da Nang 550000 Viet Nam

Hazardous substances originating from aromatic compounds pose seriously harmful effects on aquatic animals and the environment, which has received the attention for the treatment. This work used Multi-Walled Carbon Nano-Tubes (MWCNTs) modified with vanadium-pentoxide V₂O₅ nanoparticles and 2 wt% of different nanocomposite mixtures to remove methylene blue from water. The process for adsorption has been carried out using different metal oxides modified MWCNTs and V₂O₅/MWCNTs resulting in the highest adsorption capacity, 50.93 mg/g for methylene blue). The V₂O₅:CeO₂ nanocomposites modified MWCNTs exhibited the highest removal efficiency with 63.77 %, superior to previous studies. © 2022 The Author(s)

关键词： Adsorption Nanocomposites Nanoparticles Nanotubes Water treatment

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Model Construction and a Possibility of Cupratelike Pairing in a New d9 Nickelate Superconductor (Nd,Sr)NiO2

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Physical Review Letters 2020年第7期125卷 077003-077003页

作者： Hirofumi Sakakibara Hidetomo Usui Katsuhiro Suzuki Takao Kotani Hideo Aoki Kazuhiko Kuroki Department of Applied Mathematics and Physics Tottori University Tottori Tottori 680-8552 Japan Advanced Mechanical and Electronic System Research Center(AMES) Tottori University Tottori Tottori 680-8552 Japan Computational Condensed Matter Physics Laboratory RIKEN Cluster for Pioneering Research (CPR) Wako Saitama 351-0198 Japan Department of Physics and Materials Science Shimane University Matsue Shimane 690-8504 Japan Division of Materials and Manufacturing Science Graduate School of Engineering Osaka University Suita Osaka 565-0871 Japan National Institute of Advanced Industrial Science and Technology (AIST) Tsukuba Ibaraki 305-8568 Japan Department of Physics The University of Tokyo Hongo Tokyo 113-0033 Japan Department of Physics Osaka University Toyonaka Osaka 560-0043 Japan

Effective models are constructed for a newly discovered superconductor (Nd,Sr)NiO2, which has been considered as a possible nickelate analog of the cuprates. Estimation of the effective interaction, which turns out to require a multiorbital model that takes account of all the orbitals involved on the Fermi surface, shows that the effective interactions are significantly larger than in the cuprates. A fluctuation exchange study suggests occurrence of dx2−y2-wave superconductivity, where the transition temperature should be lowered from the cuprates due to the larger interaction.

关键词： Electronic structure Fermi surface First-principles calculations Impurities in superconductors Magnetic susceptibility Spin-singlet pairing Superconducting phase transition d-wave High-temperature superconductors Methods in superconductivity

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Mechanical and Dynamic Properties of Banana Fiber-Reinforced Polyester Composites: A Multi-Analytical Characterization Study

Engineering Reports

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Engineering Reports 2025年第6期7卷

作者： G. Sathish Kumar R. Sridhar A. Parthiban S. Sivabalan T. Sathish Jayant Giri J. Isaac Joshua Ramesh Lalvani Ahmad O. Hourani Nidhal Becheikh Boutheyna Belhaj Bettaieb Department of Mechanical Engineering Vels Institute of Science Technology & Advanced Studies Chennai India Department of Mechanical Engineering Saveetha School of Engineering SIMATS Chennai Tamil Nadu India Department of Mechanical Engineering Yeshwantrao Chavan College of Engineering Nagpur Maharashtra India Division of Research and Development Lovely Professional University Phagwara Punjab India Faculty of Mechanical Engineering Arba Minch Institute of Technology Arba Minch University Arba Minch Ethiopia Hourani Center for Applied Scientific Research Al-Ahliyya Amman University Amman Jordan Mining Research Center Northern Border University Arar Saudi Arabia Engineering School (ENIG) RL Processes Energetic Environment and Electric Systems (PEESE) University of Gabes Gabes Tunisia

The principal objective of this investigation is to assess the damping properties of polyester composites reinforced with short banana fibers. The analysis includes evaluating mechanical characteristics, conducting free vibration examinations, measuring damping efficiency (tan δ), and utilizing Scanning Electron Microscopy (SEM). A comprehensive examination assesses Tensile Strength, Flexural Strength, Impact Strength, Hardness, free vibration attributes, damping coefficients, and SEM imagery from the fractured tensile sample surface. The composite samples are fabricated using a hand layup procedure with randomly arranged 10 mm-long fibers. Banana fiber content varies at 5, 10, 15, and 20 wt.%. Experimental results demonstrate a direct relationship between fiber quantity and improvements in Tensile Strength, Flexural Strength, Impact Strength, Hardness, Natural Frequency, and Damping ratio. Composites containing 15 wt.% banana fibers show the most significant improvements across various temperature and frequency ranges. Simultaneously, the presence of fibers reduces peak values in the damping curves (tan δ). The most notable improvement occurs in composites with 15 wt.% banana fibers, exhibiting characteristics similar to 100% polyester. This empirical study identifies a clear association between increasing fiber content and enhanced natural frequency and damping properties of the composite material.

关键词： damping factor (tan δ) and SEM mechanical properties natural fiber polyester resin

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