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Investigation of manufacturing conditions of single roll rapidly solidified ribbon for anode materials of magnesium rechargeable batteries

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Keikinzoku/Journal of Japan Institute of Light Metals 2023年第11期73卷 537-544页

作者： Kirimoto, Yuichi Fuke, Kousuke Tsukeda, Tadayoshi Aida, Tetsuo Nemoto, Yasunori Ikeda, Minoru Tabata, Hironobu Kurihara, Hideki Suzuki, Mayumi Department of Nano and Functional Material Science Graduate School of Science and Engineering for Education University of Toyama 3190 Gofuku Toyama-shi-shiToyama Toyama930-8555 Japan Program of Materials Science and Engineering Studies in Science and Engineering Graduate School of Science and Engineering University of Toyama Toyama-shi-shiToyama Toyama Japan Faculty of Sustainable Design Academic Assembly University of Toyama Toyama-shi Toyama-shi-shiToyama Toyama Japan FLOW Science JAPAN Shizuoka Hamamatsu-shi Japan CHUETSU METAL WORKS CO. LTD Nakaniikawa-gun Toyama Japan Saitama Industrial Technology Center Saitama Kawaguchi-shi Japan Department of Mechanical Systems Engineering Faculty of Engineering Toyama Prefectural University Imizu-shi Toyama Japan

Magnesium rechargeable batteries are attracting attention as next-generation rechargeable batteries because of their resource abundance, cost, safety, and high electrical capacity per volume compared to conventional lithium-ion rechargeable batteries. Our joint research team focused not only on the electrochemically active magnesium composition of ribbon for the negative electrode materials of magnesium rechargeable batteries but also on the production process, focused on the single roll type liquid quenching and rapid solidification method, which can be produced at a lower cost. In this study, the optimal processing conditions were examined by comparing CAE analysis with ribbon actually manufactured, with the aim of further improving manufacturing conditions using the same method, such as length discontinuities, thickness, and surface properties of ribbon. We specifically various process parameters such as injection pressure and roll peripheral speed for evaluation. As a result, several linear cracks were observed on the surface of the ribbon as the peripheral speed increased and as the Gap became wider, and the surface properties tended to deteriorate. Also, It was found that the dominant factor in the length of the ribbon was the peripheral speed. As the peripheral speed increased, the length of the ribbon tended to increase. © 2023 Japan Institute of Light Metals. All rights reserved.

关键词： Surface properties

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Gradient Boosting Model for Water Quality Forecasting

Gradient Boosting Model for Water Quality Forecasting

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International Conference on Data Analytics and Management, ICDAM 2023

作者： Panda, Parnani Banerjee, Sushovan Mishra, Sushruta Shashidhar, Chitra de Albuquerque, Victor Hugo C. Reis, Marcello Singh, Pooja Kalinga Institute of Industrial Technology Deemed to Be University Bhubaneswar India Department of Commerce and Management Seshadripuram College Bengaluru560020 India Graduate Program in Telecommunication Engineering Federal Institute of Education Science and Technology of Ceará Fortaleza Brazil Federal University of Ceará Ceará Brazil Fort Lauderdale United States Lead of the Biomedical Data Analytics Research Group Bengaluru India Federal Institute of Ceará Ceará Brazil Meteora Consultoria Fortaleza Brazil Galgotias University Uttar Pradesh Greater Noida India

ISBN: (纸本)9789819965465

The aim of our study is to evaluate the quality of water using machine learning methods. Potability is a subjective word that quantifies water quality. In this research, a variety of metrics were used to measure general potability of the water. The prescribed elements are applied like variable matrix to denote water quality. The article used three different classification methods, with success rates ranging from 84.27 to 93.16%, to predict the water quality class including ensemble approach like Random Forest (RFC), SVM for classification (SVC), as well as XGBoost. The Gradient Boosting approach, out of all the ones used, received the greatest accuracy (93.16%), precision (96.3%), recall (92.76%) and F-score (94.54%). Also, it achieved the least computational delay with a mean latency of 1.34 s. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.

关键词： Water quality

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Influence of gradation in the reinforcement particles on the interfacial microstructure and mechanical properties of functionally graded composites

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Materials Today Communications 2024年 38卷

作者： Karakoç, Halil Çinici, Hanifi Saravana Kumar, M. Yılmaz, Tolga Ovalı, İsmail Yang, Che-Hua Arjunan, Arun Department of Mechanical Program Hacettepe University Ankara06935 Turkey Department of Metallurgy and Materials Engineering Gazi University Ankara06500 Turkey Graduate Institute of Manufacturing Technology National Taipei University of Technology Taipei10608 Taiwan Department of Manufacturing Engineering Pamukkale University Denizli20160 Turkey Group centre for Engineering Innovation and Research University of Wolverhampton TelfordTF2 9NT United Kingdom

In this research, Al6061 alloy-based Functionally Graded Composites (FGCs) were fabricated by hot pressing which is composed of 7 layers with different proportions of Al2O3 reinforcement particles. The addition of Al2O3 particles is gradually increasing in the other layers from top to bottom (Layer 1 - Pure Al6061 alloy, Layer 2–5 wt% Al2O3, Layer 3–10 wt% Al2O3, Layer 4–20 wt% Al2O3, Layer 5–30 wt% Al2O3, Layer 6–40 wt% Al2O3, Layer 7–50 wt% Al2O3). Moreover, three different Al2O3 particle sizes (8, 16 and 32 µm) were used to fabricate three sets of FGCs. Reciprocating wear studies were performed and the result shows that the FGC with 8 µm Al2O3 particle size shows 85.5% improved wear resistance. Further, various wear mechanisms were investigated and finally compressive strength analysis proved that the homogenous distribution of Al2O3 particles in the FGC with 16 µm Al2O3 particle size helps achieve the maximum compression stress of 476.04 MPa compared with other FGCs. © 2023 Elsevier Ltd

关键词： Compression testing

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Reviewing Photovoltaics and Electric Vehicles: Synergy and End of Life Management 26th

Reviewing Photovoltaics and Electric Vehicles: Synergy and E...

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26th International Joint Conference on industrial engineering and Operations Management, IJCIEOM 2021

作者： Marcuzzo, Rafael Campos, Lucila M. S. Maldonado, Mauricio Uriona Vaz, Caroline Rodrigues Graduate Program in Production Engineering Universidade Federal de Santa Catarina Florianópolis Brazil Department of Production Engineering and Systems Universidade Federal de Santa Catarina Florianópolis Brazil Department of Textile Engineering Universidade Federal de Santa Catarina Blumenau Brazil

ISBN: (纸本)9783030785697

Energy supply and mobility are necessary functions of economic development and have become global latent themes concerning sustainability. In the electricity sector renewable energy technologies, such as solar photovoltaic (PV), have grown significantly over its competitors in terms of investment in the past 20 years. Still, adoption of the technology has not grown quickly enough to decarbonize the sector. In the mobility sector, however, combustion engines have been replaced with electric vehicles (EV), illustrating a greater potential to mitigate emission of polluting gases. Still, the production of EV technology can yield high emissions. Instead of either technology working separately, both PV and EV may be able to cooperate in a manner where PV systems power clean electricity to produce and charge EV batteries until they return to a stationary storing system (i.e., second life) for PV systems. The following study investigates the use of EV batteries for PV systems, assessing the possible toxic effects on the environment from manufacturing, using, and disposing the technology. A review of peer-reviewed articles shed light on possible hazards of clean technologies in the energy and mobility sectors. Findings suggest the diffusion of clean technologies must be accompanied by policies that guarantee responsible disposal of them. The study concludes that advanced technological mechanisms for renewable energy may have significantly negative and sometimes obscured environmental impacts, which must be considered in future policies advocating for those technologies. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Environmental technology

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Gaussian Process Port-Hamiltonian systems: Bayesian Learning with Physics Prior

Gaussian Process Port-Hamiltonian Systems: Bayesian Learning...

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IEEE Conference on Decision and Control

作者： Thomas Beckers Jacob Seidman Paris Perdikaris George J. Pappas Department of Electrical and Systems Engineering University of Pennsylvania Philadelphia PA USA graduate program in Applied Mathematics and Computational Science University of Pennsylvania Philadelphia PA USA Department of Mechanical Engineering and Applied Mechanics University of Pennsylvania Philadelphia PA USA

ISBN: (数字)9781665467612

ISBN: (纸本)9781665467629

Data-driven approaches achieve remarkable results for the modeling of complex dynamics based on collected data. However, these models often neglect basic physical principles which determine the behavior of any real-world system. This omission is unfavorable in two ways: The models are not as data-efficient as they could be by incorporating physical prior knowledge, and the model itself might not be physically correct. We propose Gaussian Process Port-Hamiltonian systems (GPPHS) as a physics-informed Bayesian learning approach with uncertainty quantification. The Bayesian nature of GP-PHS uses collected data to form a distribution over all possible Hamiltonians instead of a single point estimate. Due to the underlying physics model, a GP-PHS generates passive systems with respect to designated inputs and outputs. Further, the proposed approach preserves the compositional nature of Port-Hamiltonian systems.

关键词： Uncertainty Gaussian processes Probabilistic logic Data models Bayes methods Behavioral sciences Kernel

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Optimizing the Identification of Suitable Congregations for Preachers Using a GMM-PCA-BIC Hybrid Clustering Approach

Optimizing the Identification of Suitable Congregations for ...

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International Conference of Computer and Informatics engineering (IC2IE)

作者： Rahmad Kurniawan Ibnu Daqiqil I D Fatayat Sukamto Aidil Fitriansyah Fitra Lestari Ilyas Husti Department of Computer Science Faculty of Mathematics and Natural Sciences Universitas Riau Pekanbaru Indonesia Department of Industrial Engineering Universitas Islam Negeri Sultan Syarif Kasim Riau Pekanbaru Indonesia Graduate Program Universitas Islam Negeri Sultan Syarif Kasim Riau Pekanbaru Indonesia

ISBN: (数字)9798331505530

ISBN: (纸本)9798331505547

The assignment of preachers to mosques in Riau Province faces significant challenges due to the geographic dispersion of mosques and inconsistent scheduling practices. Preachers often travel long distances, and mismatched assignments lead to inefficiencies and reduced effectiveness in delivering sermons. This study addresses these issues by leveraging advanced clustering techniques to optimize preacher assignments. Specifically, we applied Gaussian Mixture Models (GMM) to cluster mosque and preacher data based on geolocation, activity, and profiles. We integrated Principal Component Analysis (PCA) for dimensionality reduction to enhance the clustering performance, forming a GMM-PCA hybrid approach. Data was obtained from the Indonesian Ulema Council Riau Province Chapter, which consists of 185 mosques and 250 preachers, totaling 435 data points. The results indicate that using GMM alone, the optimal clustering was achieved with 10 clusters, yielding a Silhouette Score of 0.31. The GMM-PCABIC hybrid approach improved clustering quality. It achieved optimal results with 9 clusters, a significantly higher Silhouette Score of 0.48, and a lower BIC Score of 2696.18. These findings demonstrate the novelty of the GMM-PCA-BIC hybrid method in effectively capturing the complex characteristics of mosque and preacher data, ensuring efficient and relevant preacher assignments. Implementing this optimized clustering approach allows mosque administrators to make data-driven decisions, enhancing the effectiveness of religious activities.

关键词： Measurement Instruments Geology Education Real-time systems Geospatial analysis Informatics Gaussian mixture model Faces Principal component analysis

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A survey on robot fleet management systems for industrial processes

A survey on robot fleet management systems for industrial pr...

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IEEE Latin American Robotics Symposium, LARS

作者： Reynaldo Mateus Gago Mauricio Galassi Filipe Silveira Gustavo Medeiros Freitas Graduate Program in Electrical Engineering Universidade Federal de Minas Gerais Belo Horizonte MG Brazil Centro de Pesquisas e Desenvolvimento Petrobras Rio de Janeiro RJ Brazil Industrial Technology Architecture Vale S.A. Coronel Fabriciano MG Brazil

ISBN: (数字)9798331508807

ISBN: (纸本)9798331508814

The increasing deployment of industrial and service robots has created a significant demand for robotic Fleet Management systems (FMS) to control these assets and deliver efficient and safe operations. This paper explores applications of FMS across various industrial sectors, including oil and gas, mining and agroindustry. Then, it describes expected functionalities of FMS, such as route planning, task allocation, simulation, realtime monitoring, integration with corporate systems, diagnosis, teleoperation, data analytics and devops tools. The discussion includes an analysis of current FMS software solutions, highlighting their features and industry-specific applications. The paper concludes that the continued evolution of FMS technology is critical for optimizing robotic operations and achieving strategic industrial goals, and the selection of a FMS solution should consider companies’ current fleet and expectations towards its adoption.

关键词： Industries Frequency modulation DevOps Data analysis Service robots Oils Software Planning Data mining Resource management

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Evaluation of Hydrogen Ions Flowing through Protonic Ceramic Fuel Cell Using Ytterbium-Doped Barium Zirconate as electrolyte

Evaluation of Hydrogen Ions Flowing through Protonic Ceramic...

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243rd ECS Meeting

作者： Okuyama, Yuji Harada, Yoshiaki Mikami, Yuichi Yamauchi, Kosuke Kuroha, Tomohiro Shimada, Hiroyuki Yamaguchi, Yuki Mizutani, Yasunobu Research Center for Sustainable Energy & Environmental Engineering Faculty of Engineering University of Miyazaki 1-1 Gakuenkibanadai-nishi Miyazaki889-2192 Japan Department of Environmental Robotics Mechanical Systems and Informatics Course Graduate School of Engineering University of Miyazaki 1-1 Gakuenkibanadai-nishi Miyazaki889-2192 Japan Interdisciplinary Graduate School of Agriculture and Engineering University of Miyazaki 1-1 Gakuenkibanadai-nishi Miyazaki889-2192 Japan Technology Division Panasonic Holdings Corporation 3-1-1 Yagumo-naka-machi Osaka Moriguchi City570-8501 Japan Innovative Functional Materials Research Institute National Institute of Advanced Industrial Science and Technology 4-205 Sakurazaka Moriyama-ku Aichi Nagoya463-8560 Japan

ISBN: (纸本)9781607685395

To measure the proton current in a PCFC (protonic ceramic fuel cell), the proton current detector was developed using a proton conducting oxide. The amount of proton current that flowed in the PCFC can be measured by an apparatus developed based on the electromotive force of an electrochemical cell using 10 mol% In-doped CaZrO3 (hydrogen sensor) and Y-stabilized zirconia (oxygen sensor). The water vapor pressure on the cathode changed when hydrogen ions pass through the PCFC. The hydrogen ion current can be determined by monitoring the water vapor pressure. The electronic leakage was then estimated from the hydrogen ion current and external current. We measured the current of hydrogen flowing through protonic ceramic fuel cell using ytterbium-doped barium zirconate as the electrolyte. Hydrogen ions and holes were found to leak under the OCV at 700°C. The electronic leakage was found to be suppressed with the increasing electrolyte film thickness. On the other hand, no leakage of hydrogen and holes was observed at 500°C. © The Electrochemical Society.

关键词： Ions

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MULTIPLEXED DNA-DIRECTED PATTERNING OF ANTIBODIES FOR SINGLE-CELL SURFACE MARKER ANALYSIS 25

MULTIPLEXED DNA-DIRECTED PATTERNING OF ANTIBODIES FOR SINGLE...

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25th International Conference on Miniaturized systems for Chemistry and Life Sciences, MicroTAS 2021

作者： Kozminsky, Molly Scheideler, Olivia J. Li, Brian Liu, Nathaniel K. Sohn, Lydia L. California Institute of Quantitative Biosciences Berkeley United States UC Berkeley-UCSF Graduate Program in Bioengineering Berkeley and San Francisco United States UC Berkeley Department of Mechanical Engineering Berkeley United States

ISBN: (纸本)9781733419031

Cell surface marker expression is a ubiquitously measured property of single-cell phenotypes. However, measuring several markers with exogenous labels can be costly and complex. We applied a novel bioconjugation chemistry known as DNA-directed patterning to functionalize glass substrates with great specificity and flexibility. Combined with a newly-designed node-pore sensing device, we have developed a flexible and label-free platform for multiplexed surface-marker screening of single cells. In this work, we present our design and demonstrate our platform's capability to screen two example cell types for surface-marker expression. © 2021 MicroTAS 2021 - 25th International Conference on Miniaturized systems for Chemistry and Life Sciences. All rights reserved.

关键词： DNA

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Dynamic interaction between dislocations and obstacles in bcc iron based on atomic potentials derived using neural networks

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Physical Review Materials 2023年第6期7卷 063605-063605页

作者： Hideki Mori Tomohito Tsuru Masahiko Okumura Daisuke Matsunaka Yoshinori Shiihara Mitsuhiro Itakura Department of Mechanical Engineering College of Industrial Technology 1-27-1 Nishikoya Amagasaki Hyogo 661-0047 Japan Nuclear Engineering Research Center Japan Atomic Energy Agency Tokai-mura Ibaraki 319-1195 Japan Center for Computational Science & e-Systems Japan Atomic Energy Agency 178-4 Wakashiba Kashiwa Chiba 277-0871 Japan Department of Mechanical Systems Engineering Shinshu University 4-17-1 Wakasato Nagano Nagano 380-8553 Japan Graduate School of Engineering Toyota Technological Institute Nagoya Aichi 468-8511 Japan

The introduction of obstacles (e.g., precipitates) for controlling dislocation motion in molecular structures is a prevalent method for designing the mechanical strength of metals. Owing to the nanoscale size of the dislocation core (≤1 nm), atomic modeling is required to investigate the interactions between the dislocation and obstacles. However, conventional empirical potentials are not adequately accurate in contrast to calculations based on density functional theory (DFT). Therefore, the atomic-level details of the interactions between the dislocations and obstacles remain unclarified. To this end, in this paper, we applied an artificial neural network (ANN) framework to construct an atomic potential by leveraging the high accuracy of DFT. Using the constructed ANN potential, we investigated the dynamic interaction between the (a0/2)〈111〉{110} edge dislocation and obstacles in body-centered cubic (bcc) iron. When the dislocation crossed the void, an ultrasmooth and symmetric half-loop was observed for the bowing-out dislocation. Except for the screw dislocation, the Peierls stress of all the dislocations predicted using the ANN was <100 MPa. More importantly, the results confirmed the formation of an Orowan loop in the interaction between a rigid sphere and dislocation. Furthermore, we discovered a phenomenon in which the Orowan loop disintegrated into two small loops during its interaction with the rigid sphere and dislocation.

关键词： Disclinations & dislocations Plastic deformation Body-centered cubic Transition metals Machine learning Molecular dynamics

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