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10th International Conference on Wave Mechanics and Vibrations, WMVC 2022

作者： Chao, Cui Shi, Baiyang Yang, Jian Wiercigroch, Marian Department of Mechanical Materials and Manufacturing Engineering University of Nottingham Ningbo China Ningbo315100 China Faculty of Science and Engineering University of Nottingham Ningbo China Ningbo315100 China Centre for Applied Dynamics Research School of Engineering Fraser Noble Building King’s College University of Aberdeen AberdeenAB24 3UE United Kingdom

ISBN: (纸本)9783031157578

This study investigates the vibration transmission and power dissipation behaviour of a mass-spring-damper system mounted on a conveyor belt. Coulomb friction exists between the mass and the belt moving at a constant velocity and acts as the external force for the mass. The steady-state power flow characteristics are obtained based on numerical integrations. The vibration energy dissipation at the contact interface and by the viscous damper is evaluated and quantified. The vibration transmission is measured by force transmissibility. For the system without the viscous damper, the instantaneous friction power can be positive or negative, depending on the motion characteristics of the mass. For the system with the viscous damper, in the steady-state motion, the vibration energy input caused by the friction can be dissipated by the viscous damper and also by the friction. Furthermore, effects of the magnitude of conveyor belt speed, damping ratio and friction force on the dynamic behaviour of systems are examined, and the power dissipation ratio of the system is analyzed. The results are expected to provide insights into the vibration transmission and suppression design of systems with friction. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Belt conveyors

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Glutamate as a bio-compatible electrolyte additive for sustainable high-performance magnesium-air batteries

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Energy Storage materials 2025年 80卷

作者： Wu, Yulong Snihirova, Darya Wang, Linqian Wang, Cheng Deng, Min Xu, Wen Schimek, Sven Zeller-Plumhoff, Berit Vaghefinazari, Bahram Scharnagl, Nico Höche, Daniel Lamaka, Sviatlana V. Zheludkevich, Mikhail L. Institute of Surface Science Helmholtz-Zentrum Hereon Max-Planck Str. 1 Geesthacht21502 Germany School of Materials Science and Engineering Hebei University of Technology Tianjin300000 China School of Materials Science and Engineering & Jiangsu Key Laboratory for Advanced Metallic Materials Southeast University Nanjing211189 China Institute of Metallic Biomaterials Helmholtz Zentrum Hereon Geesthacht Germany Faculty of Mechanical Engineering and Marine Technologies University of Rostock Rostock Germany Department of Materials Science Kiel University Kiel24143 Germany

Screening electrolyte additives that effectively inhibit anode self-corrosion while enhancing cell voltage is a critical challenge for advancing sustainable battery technologies. Herein, glutamate, a common food flavoring agent, is proposed as a bio-compatible electrolyte additive for Mg-air batteries. The employing glutamate not only address the challenge, leading to an exceptional energy density of 2.52 kWh·kg-1 in a half-cell discharge test, but also surpasses most reported additives in terms of environmental friendliness, cost-effectiveness, and broad applicability to various Mg anodes. Insights into the mechanistic understanding of the effect of glutamate on anode self-corrosion processes were provided. Advanced synchrotron microtomography analysis revealed the glutamate-triggered anodic chunk effect, while in-operando scanning localized microprobe techniques were employed to investigate oxygen reduction at the anode surface. Besides, a novel 3D equilibrium predominance diagram was constructed to determine optimal glutamate concentrations, showing strong alignment with experimental findings. In summary, this work presents a robust strategy for designing electrolyte compositions, accurately quantifying Mg anode weight loss attributable to the chunk effect, and providing a potential bio-compatible electrolyte additive for implantable Mg batteries. © 2025

关键词： Pitting

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Facile synthesis of yellow emissive heteroatom doped carbon quantum dots fluorescent probe with superior quantum yield for fast-track ionic detection in aqueous media

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materials Research Bulletin 2024年 180卷

作者： Patra, Rashmiranjan Panda, Pradeep Kumar Hung, Chang-Yuan Dash, Pranjyan Yang, Po-Chih Hsieh, Chien-Te Department of Chemical Engineering and Materials Science Yuan Ze University Taoyuan32003 Taiwan Taipei 10608 Taiwan Department of Mechanical Aerospace and Biomedical Engineering University of Tennessee KnoxvilleTN37996 United States

In this work, heteroatom (B and N) doped carbon quantum dots (CQDs) materials were synthesized via facile hydrothermal method using o-phenylenediamine (o-PD) as a nitrogen source and 3-aminophenyl boronic acid (3APBA) as a boron source. The synthesis parameters were optimized and optimal synthesis temperature and reaction time were 260 °C and 2 h, respectively. The chemical structures were characterized using various techniques. The experimental results showed that B,N co-doped CQDs had the strongest fluorescence intensity when the weight ratio of 3APBA:o-PD was 3:1 and showed a phenomenal quantum yield of 59% with high selectivity for Fe3+ and Hg2+ ions, with quenching constants 1.25 × 103 M–1 and 8.3 × 103 M–1, respectively. The high fluorescence quenching was attributed to the photoinduced electron transfer phenomenon, making it suitable for fluorescent sensing materials. Cytotoxicity data revealed synthesized materials are safe for biomedical applications within a 1–10 µg/mL concentration. © 2024

关键词： Quantum yield

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Evaluating the thermal performance of perovskite SrSnO3field effect transistors 22

Evaluating the thermal performance of perovskite SrSnO3field...

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22nd InterSociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems, ITherm 2023

作者： Bista, Bivek Golani, Prafful Liu, Fengdeng Truttmann, Tristan Pavlidis, Georges Centrone, Andrea Jalan, Bharat Koester, Steven University of Connecticut Department of Mechanical Engineering StorrsCT06269 United States University of Minnesota Department of Electrical and Computer Engineering MinneapolisMN55455 United States University of Minnesota Department of Chemical Engineering and Materials Science MinneapolisMN55455 United States National Institute of Standards and Technology Physical Measurement Laboratory GaithersburgMD20899 United States

ISBN: (纸本)9798350321661

Given the ever increasing, global electricity consumption, improving the efficiency and reliability of high-power electronics is of paramount importance. Ultra-wide band gap (> 3.4 eV) semiconductors have shown the potential to be used in the next generation of power electronics due to their high breakdown field and mobility. Specifically, high-quality growth of doped strontium stannate perovskite-oxide (SSO) has been recently demonstrated. The thermal properties of this novel material, however, have not been fully investigated and could be the limiting factor (excessive junction temperatures) to maximize device performance. In this study, high resolution (approx mathbf{410} mathbf{nm}) transient thermoreflectance imaging (TTI) is used to obtain temperature maps of SSO two-terminal devices with varying channel width (mathbf{10} boldsymbol{mu} mathbf{m} to mathbf{20} boldsymbol{mu} mathbf{m}). The results show that the device thermal resistance increases by approx mathbf{21} {%} due to the increase in thermal spreading resistance with channel width. The observed trend is further confirmed via transient thermal analysis where the thermal time constant is shown to increase from mathbf{20}.mathbf{9} boldsymbol{mu}mathbf{s} to mathbf{29}.mathbf{9} boldsymbol{mu}mathbf{s}. Overall, the active layer thicknesses and device geometry (length and width), must be carefully considered to improve device performance and lifetime. © 2023 IEEE.

关键词： Perovskite

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Unidirectional-Emitted and polarization GaN-base Micro-LED with metagratings for AR display 21

Unidirectional-Emitted and polarization GaN-base Micro-LED w...

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21st China International Forum on Solid State Lighting and 10th International Forum on Wide Bandgap Semiconductors, SSLCHINA: IFWS 2024

作者： Lin, Chaoyu Lin, Yun Cheng, Chaowei Yang, Hua Yi, Xiaoyan Li, Jinmin Wang, Liancheng State Key Laboratory Of Precision Manufacturing for Extreme Service Performance College of Mechanical and Electrical Engineering Central South University Hunan Changsha410083 China Research and Development Center for Wide Bandgap Semiconductors Institute of Semiconductors Chinese Academy of Sciences Beijing100083 China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences Beijing100190 China

Micro-LED is a next-generation display technology that has garnered significant attention for its exceptional brightness, contrast, power efficiency, and longevity. It utilizes micron-sized (typically ©2024 IEEE.

ISBN: (纸本)9798331541149

关键词： Gallium nitride

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Robust Flower Cluster Matching Using The Unscented Transform

arXiv

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arXiv 2025年

作者： Chu, Andy Shrestha, Rashik Gu, Yu Gross, Jason N. Department of Mechanical Materials and Aerospace Engineering West Virginia University Morgantown United States Lane Department of Computer Science and Electrical Engineering West Virginia University Morgantown United States

Monitoring flowers over time is essential for precision robotic pollination in agriculture. To accomplish this, a continuous spatial-temporal observation of plant growth can be done using stationary RGB-D cameras. However, image registration becomes a serious challenge due to changes in the visual appearance of the plant caused by the pollination process and occlusions from growth and camera angles. Plants flower in a manner that produces distinct clusters on branches. This paper presents a method for matching flower clusters using descriptors generated from RGB-D data and considers allowing for spatial uncertainty within the cluster. The proposed approach leverages the Unscented Transform to efficiently estimate plant descriptor uncertainty tolerances, enabling a robust image-registration process despite temporal changes. The Unscented Transform is used to handle the nonlinear transformations by propagating the uncertainty of flower positions to determine the variations in the descriptor domain. A Monte Carlo simulation is used to validate the Unscented Transform results, confirming our method’s effectiveness for flower cluster matching. Therefore, it can facilitate improved robotics pollination in dynamic environments. Copyright © 2025, The Authors. All rights reserved.

关键词： Image registration

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Additive manufacturing process parameter design for variable component geometries using reinforcement learning

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Additive Manufacturing 2024年 84卷

作者： Vaghefi, Ehsan Hosseini, Seyedmehrab Afsharinejad, Amir Hossein Prorok, Bart Mirkoohi, Elham Department of Mechanical Engineering Auburn University AuburnAL United States Data Science Home Depot AtlantaGA United States Department of Materials Engineering Auburn University AuburnAL United States

Ensuring consistent high quality across diverse components in additive manufacturing (AM) necessitates a rigorous and resource-intensive process of trial-and-error experimentation. In practical terms, this entails a substantial investment of time and resources. Addressing this challenge involves the integration of physics-based process simulations with general-purpose optimization algorithms, facilitating proactive process optimization. This strategy effectively directs costly experimental endeavors toward the most promising variations. However, a significant limitation of this approach is the substantial computational time requirement, particularly in the context of iterative optimization. To circumvent the computational constraints inherent in the optimization process, surrogate-based optimization methodologies are commonly employed. These surrogate models are typically custom-tailored to specific scenarios, lacking the capacity to adapt to a diverse range of manufacturing contexts. Consequently, even minor modifications, such as alterations in component geometry, render these surrogate models obsolete, necessitating the labor-intensive processes of data resampling and surrogate model retraining. One highly promising avenue for addressing these challenges involves the application of Reinforcement Learning (RL), a computational technique that seeks to determine optimal actions within dynamic and variable contexts. Within the framework of this research, RL is leveraged to estimate optimal process parameters (referred to as "actions") across a spectrum of component geometries (referred to as "situations"). After the training phase, the model demonstrates a remarkable capacity to furnish meaningful parameter estimations, even when confronted with novel geometries that were not part of the original training dataset. Consequently, it encapsulates transferable insights derived from generic process samples, successfully applying them to the characterization of new and non

关键词： Reinforcement learning

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Anisotropy in tensile properties and fracture behaviour of 316L stainless steel parts manufactured by fused deposition modelling and sintering

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Advances in Manufacturing 2022年第3期10卷 345-355页

作者： Lin-Ju Wen Xiao-Gang Hu Zhong Li Zhan-Hua Wang Ji-Kai Wu Qiang Zhu Department of Mechanical and Energy Engineering Southern University of Science and TechnologyShenzhen 518055GuangdongPeople's Republic of China Department of Mechanical Engineering Polytechnic University of Milan20156 MilanItaly SUSTechAcademy for Advanced Interdisciplinary Studies Shenzhen 518055GuangdongPeople's Republic of China Shenzhen Key Laboratory for Additive Manufacturing of High-performance Materials Shenzhen 518055GuangdongPeople's Republic of China Elementplus Material Technology Co.Ltd. Shenzhen 518055GuangdongPeople's Republic of China

Fused deposition modelling and sintering(FDMS)is a potential metal additive manufacturing technology due to its low cost and high *** mixture of metal powder and binder goes through heating,extrusion,debinding and sintering processes to produce the compact finished ***,it is generally believed that parts produced by FDMS possess poor and anisotropic tensile properties,which always attributes to the weak interlayer *** current work aimed to enhance tensile properties and better understand the anisotropic fracture behavior of the 316L stainless steel prepared by *** process optimization,the yield strength and ultimate tensile strength obtained in this work are increased by 26.1%and 15.2%,based on the highest performance reported in previous *** to the ultimate tensile strength,the performance difference between the horizontal and vertical directions has been reduced to 27%.Furthermore,the experimental results indicated that the clustered irregular shape holes evolved from primitive voids prefer to distribute in the build direction,resulting in anisotropic tensile *** is suggested that the mechanical properties could be improved by applying a smaller extrusion diameter and rolling-assisted *** addition,the current FDMS parts show qualified performance for producing the customized and small batch components.

关键词： Fused deposition modelling 316L stainless steel Anisotropy mechanical properties Fracture behaviour

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Robust training of machine learning interatomic potentials with dimensionality reduction and stratified sampling

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npj Computational materials 2024年第1期10卷 2796-2806页

作者： Ji Qi Tsz Wai Ko Brandon C.Wood Tuan Anh Pham Shyue Ping Ong Materials Science and Engineering Program University of California San Diego9500 Gilman DrLa JollaCA 92093-0448USA Quantum Simulations Group Lawrence Livermore National LaboratoryLivermoreCA 94550USA Department of NanoEngineering University of California San Diego9500 Gilman DrLa JollaCA 92093-0448USA Laboratory for Energy Applications for the Future(LEAF) Lawrence Livermore National LaboratoryLivermoreCA 94550USA

Machine learning interatomic potentials(MLIPs)enable accurate simulations of materials at scales beyond that accessible by ab initio methods and play an increasingly important role in the study and design of ***,MLIPs are only as accurate and robust as the data on which they are ***,we present DImensionality-Reduced Encoded Clusters with sTratified(DIRECT)sampling as an approach to select a robust training set of structures from a large and complex configuration *** applying DIRECT sampling on the materials Project relaxation trajectories dataset with over one million structures and 89 elements,we develop an improved materials 3-body graph network(M3GNet)universal potential that extrapolates more reliably to unseen *** further show that molecular dynamics(MD)simulations with the M3GNet universal potential can be used instead of expensive ab initioMDto rapidly create a large configuration space for target *** combined this scheme with DIRECT sampling to develop a reliable moment tensor potential for titanium hydrides without the need for iterative augmentation of training *** work paves the way for robust high-throughput development of MLIPs across any compositional complexity.

关键词： stratified potential titanium

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The nano-structural characterization of Ω and S phases in Al-5.1Cu-1.0 Mg-(0.4Ag) AA2024 aluminum alloys

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materials science and engineering: A 2023年第1期881卷

作者： Tai, Cheng-Ling Chen, Mien-Chung Chung, Tsai-Fu Yang, Yo-Lun Lee, Sheng-Long Tsao, Tzu-Ching Shi, Zhusheng Lin, Jianguo Su, Te-Cheng Chen, Hsueh-Ren Yang, Jer-Ren Department of Materials Science and Engineering National Taiwan University Taipei Taiwan Institute of Material Science and Engineering National Central University Taoyuan Taiwan Department of Materials Science and Engineering National Yang Ming Chiao Tung University Hsinchu Taiwan Department of Mechanical Engineering National Taipei University of Technology Taipei Taiwan Department of Mechanical Engineering Imperial College London LondonSW7 2AZ United Kingdom

The effects of a minor addition (0.4 wt%) of Ag to Al-5.1Cu-1.0 Mg aluminum alloy on the microstructural evolution and mechanical properties have been investigated. The under-ageing, peak ageing, over-ageing, and prolonged ageing at 185 °C were studied for the alloys with and without Ag additions to further correlate the microstructure with mechanical properties. The faster increment of hardness during the early stage (1–5 h) and much higher ultimate tensile strength (530 Mpa) at peak ageing condition in Ag-containing specimen were attributed to the formation of the Ω phase triggered by the Ag addition. In over-aged specimens, the S phase in the Ag-free specimen coarsened significantly, whereas the S phase in the Ag-containing specimen remained nearly the same size as that in its peak-ageing treated specimen. The formation of the Ω phase in the Ag-containing specimen presumably consumed the same solute atoms as the S phase, i.e., Cu and Mg, leading to the depleted zones of Cu–Mg in the aluminum matrix and thus suppressing the coarsening of the S phase during the ageing time from 11 h (peak ageing) to 18 h (over ageing). After ageing for 100 h (prolonged ageing), the S phase coalesced in both alloys. However, the Ω phase in the Ag-containing specimen still maintained a thickness of ∼3 nm with a high level of volume percent (2.74 vol %), which contributed significantly to the UTS (449 MPa). © 2023 Elsevier B.V.

关键词： High resolution transmission electron microscopy

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