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Journal articles on the topic 'Algorithme graphique'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 July 2025

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1

Baray, Jérôme, Gérard Cliquet, and Yves Soulabail. "Communautés thématiques et image des groupes de la grande distribution française dans les médias." Vie & sciences de l'entreprise N° 216-217, no. 1 (2023): 313–23. http://dx.doi.org/10.3917/vse.216.0313.

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L&#8217;objet de la pr&#233;sente recherche est l&#8217;analyse de l&#8217;image de la grande distribution en France &#224; travers le prisme des 13 138 articles de presse les plus consult&#233;s des r&#233;seaux sociaux sur la p&#233;riode mars 2019 - f&#233;vrier 2020. La m&#233;thode utilis&#233;e se fonde sur (1) le moissonnage de ces articles, (2) l&#8217;analyse s&#233;mantique et l&#8217;identification de communaut&#233;s th&#233;matiques gr&#226;ce &#224; l&#8217;algorithme de Louvain, (3) la repr&#233;sent

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Brait, Maximilian, Eduard Koppensteiner, Gerhard Schindelbacher, Jiehua Li, and Peter Schumacher. "Artificial Intelligence Approaches to Determine Graphite Nodularity in Ductile Iron." Journal of Casting & Materials Engineering 5, no. 4 (2021): 94–102. http://dx.doi.org/10.7494/jcme.2021.5.4.94.

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The complex metallurgical interrelationships in the production of ductile cast iron can lead to enormous diﬀerences in graphite formation and local microstructure by small variations during production. Artiﬁcial intelligence algorithms were used to describe graphite formation, which is inﬂuenced by a variety of metallurgical parameters. Moreover, complex physical relationships in the formation of graphite morphology are also controlled by boundary conditions of processing, the eﬀect of which can hardly be assessed in everyday foundry operations. The inﬂuence of relevant input parameters can be

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3

Ning, Huifeng, Faqiang Chen, Yunfeng Su, et al. "Modeling and prediction of tribological properties of copper/aluminum-graphite self-lubricating composites using machine learning algorithms." Friction 12, no. 6 (2024): 1322–40. http://dx.doi.org/10.1007/s40544-023-0847-2.

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AbstractThe tribological properties of self-lubricating composites are influenced by many variables and complex mechanisms. Data-driven methods, including machine learning (ML) algorithms, can yield a better comprehensive understanding of complex problems under the influence of multiple parameters, typically for how tribological performances and material properties correlate. Correlation of friction coefficients and wear rates of copper/aluminum-graphite (Cu/Al-graphite) self-lubricating composites with their inherent material properties (composition, lubricant content, particle size, processi

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Nargundkar, Aniket, Satish Kumar, and Arunkumar Bongale. "Multi-Objective Optimization of Friction Stir Processing Tool with Composite Material Parameters." Lubricants 12, no. 12 (2024): 428. https://doi.org/10.3390/lubricants12120428.

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Compared to base aluminum alloys, the surface composites of aluminum alloys are more widely used in the automotive, aerospace, and other industries. The ability to yield enhanced physical properties and a smoother microstructure has made friction stir processing (FSP) the method of choice for developing aluminum-based surface composites in recent times. In this work, the Goal Programming (GP) approach is adopted for the Multi-Objective Optimization of FSP processes with three Artificial Intelligence (AI)-based metaheuristics, viz., Artificial Bee Colony (ABC), Particle Swarm Optimization (PSO)

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Liu, Guangjun, Xiaoping Xu, Xiangjia Yu, and Feng Wang. "A New Method of Identifying Graphite Based on Neural Network." Wireless Communications and Mobile Computing 2021 (December 15, 2021): 1–10. http://dx.doi.org/10.1155/2021/4716430.

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The unique physical properties of graphite enable it to be applied in various fields of the national economy and people’s livelihood, which has very important industrial value. Many countries have listed graphite as a key mineral. To promote the transformation of the mining industry to informatization and intelligence, the realization of the intelligent recognition of graphite is particularly critical. Aiming at the problems of long time and low efficiency in manually identifying graphite, an improved AlexNet convolution neural network is proposed for graphite image recognition. First, we perf

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Hampton, J., H. Tesfalem, A. Fletcher, A. Peyton, and M. Brown. "Reconstructing the conductivity profile of a graphite block using inductance spectroscopy with data-driven techniques." Insight - Non-Destructive Testing and Condition Monitoring 63, no. 2 (2021): 82–87. http://dx.doi.org/10.1784/insi.2021.63.2.82.

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The radial depth profile of the electrical conductivity of the graphite channels in the UK's advanced gas-cooled reactors (AGRs) can be reconstructed and estimated by solving a non-linear optimisation problem using the mutual inductance spectra of a set of coils. This process is slow, as it requires many iterations of a forward solver. Alternatively, a data-driven approach can be used to provide an initial estimate for the optimisation algorithm, reducing the amount of time it takes to solve the ill-posed inverse problem. Two data-driven approaches are compared: multi-variable polynomial regre

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Wesley Huang, Wesley Huang, Zhi-Yuan Su Wesley Huang, Chia-Sui Wang Zhi-Yuan Su, Mark Yeh Chia-Sui Wang, and Jyh-Horng Chou Mark Yeh. "Graphite Classification of Gray Cast Iron in Metallographic via a Deep Learning Approach." 網際網路技術學刊 23, no. 4 (2022): 889–95. http://dx.doi.org/10.53106/160792642022072304023.

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<p>In addition to measurements of physical and mechanical properties, quality inspections also include metallographic analyses. When gray casting iron material, different manufacturing processes cause different microstructures in the material, whose metallographic images also perform large differences. The metallographic properties of gray iron can be divided into six types (from Type A to Type F). The proportion of types will influence the strength, wear resistance, and lifetime of specimens. The determination of type is usually dependent on manual judgments. In this study, two approach

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8

Du, Hua Yue, Yong Qian, Cheng Guo Wu, Yan Hua Huang, and Xia Li. "Digital Image Restoration in Microscopic Measurement." Applied Mechanics and Materials 421 (September 2013): 421–26. http://dx.doi.org/10.4028/www.scientific.net/amm.421.421.

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The requirement of the accuracy of microscopic measurements becomes more and more high, and traditional methods have been unable to meet the demands. Digital image deconvolution techniques are applied in microscopic measurement. By fabricating a pointolite, the point spread function of the optical system is measured, and then the geometric blurring in traditional microscopy is removed by using the maximum likelihood estimation algorithms and iteration threshold segmentation algorithms. The technique is applied to measure the total content of perlite and spheroidal graphite in spheroidal graphi

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Дроздов, М. Н., Ю. Н. Дроздов, А. И. Охапкин, С. А. Краев та М. А. Лобаев. "Новый подход к анализу фазового состава углеродсодержащих материалов методом времяпролетной вторично-ионной масс-спектрометрии". Письма в журнал технической физики 45, № 2 (2019): 50. http://dx.doi.org/10.21883/pjtf.2019.02.47225.17557.

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AbstractNew possibilities offered by the method of secondary ion mass spectrometry (SIMS) for analysis of the phase composition of carbon-containing materials are considered. Differences are established between the mass spectra of three carbon phases: diamond, diamond-like carbon (DLC), and graphite. A simple algorithm for the quantitative determination of different phases in two-phase systems diamond–graphite and DLC–graphite is proposed that is based on the measurement of relative intensities of secondary cluster ions such as C_8/C_5 and CsC_8/CsC_4. It is shown that nonuniform depth profile

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10

Hidalgo-Salaverri, J., J. Gonzalez-Martin, J. Ayllon-Guerola, et al. "Thermo-mechanical limits of a magnetically driven fast-ion loss detector in the ASDEX Upgrade tokamak." Journal of Instrumentation 17, no. 02 (2022): C02020. http://dx.doi.org/10.1088/1748-0221/17/02/c02020.

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Abstract A real-time control system is being developed for a magnetically driven Fast-Ion Loss Detector (FILD) at the ASDEX Upgrade tokamak. The insertion of the diagnostic head will be adjusted in real-time to react to changes in the graphite head temperature, plasma position and appearance of MHD instabilities. The graphite probe head of the detector is exposed to an intense heat flux (located ∼3–5 cm from separatrix). The control algorithm performance is constrained by: the graphite head sublimation temperature, the ultimate stress limit, the reaction time of the controller and the retracti

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11

Réti, Tamás, Mihály Réger, Ágnes Csizmazia, and Imre Czinege. "Modeling of Distribution of Visible and Non-Visible Graphite Nodules Embedded in the Surface Layer of Ductile Cast Iron." Materials Science Forum 659 (September 2010): 453–58. http://dx.doi.org/10.4028/www.scientific.net/msf.659.453.

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The graphite nodule count and size distribution are important structural parameters in the quantitative characterization of the microstructure of ductile cast irons. In several cases, it is observed that local surface damages (cracks or microchip formations) are generated by the final manufacturing process (superfinishing operation), and these defects are originated basically from the hidden (invisible) graphite nodules located directly below surface. Based on measured data obtained by an image analyzer, a stereological model and a simulation algorithm have been developed to analyse the corres

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Basurto-Hurtado, Jesus A., L. A. Morales-Hernández, Roque A. Osornio-Rios, and Aurelio Dominguez-Gonzalez. "An Approach Based on the Exploratory Data Analysis to Relate the Wear Behavior with the Microstructure of Ductile Cast Irons." Advances in Materials Science and Engineering 2016 (2016): 1–11. http://dx.doi.org/10.1155/2016/2605602.

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The aim of this work is to propose a new methodology to relate Ductile Cast Irons (DCIs) wear behavior with the separation distances and sizes of the graphite nodules through an Exploratory Data Analysis (EDA). This methodology consists of morphological image processing tools (compacity and size distribution curves), an EDA performed by the use of box plots and an EDA-based section classifying algorithm. This algorithm classifies the microstructure of DCIs into classes and levels grouping different behaviors of the separation distances and sizes of graphite nodules. Finally, it was found, thro

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13

AL-OQALI, AMER, ASAAD R. SAKHEL, HUMAM B. GHASSIB, and ROGER R. SAKHEL. "WORM ALGORITHM PATH INTEGRAL MONTE CARLO APPLIED TO THE 3He–4He II SANDWICH SYSTEM." International Journal of Modern Physics B 26, no. 31 (2012): 1250173. http://dx.doi.org/10.1142/s0217979212501731.

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We present a numerical investigation of the thermal and structural properties of the 3 He –4 He sandwich system adsorbed on a graphite substrate using the worm algorithm path integral Monte Carlo (WAPIMC) method [M. Boninsegni, N. Prokof'ev and B. Svistunov, Phys. Rev. E74, 036701 (2006)]. For this purpose, we have modified a previously written WAPIMC code originally adapted for 4 He on graphite, by including the second 3 He -component. To describe the fermions, a temperature-dependent statistical potential has been used. This has proven very effective. The WAPIMC calculations have been conduc

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14

Sandrakov, G. V. "COMPUTATIONAL ALGORITHMS FOR MULTIPHASE HYDRODYNAMICS MODELS AND FILTRATION." Journal of Numerical and Applied Mathematics, no. 1 (2022): 46–61. http://dx.doi.org/10.17721/2706-9699.2022.1.04.

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Computational algorithms for modeling of multiphase hydrodynamics processes with take of phase transitions will be discussed. The algorithms are based on discretization of conservation laws for mass, momentum, and energy in integral and differential forms. The time and spatial discretization is natural and numerical simulations are realized as direct computer experiments. The experiments are implemented as a computer simulation of the dynamics of a multiphase carrier fluid containing particles that can undergo, for example, graphite–diamond phase transitions and calculations are given. Modific

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15

Piwowarczyk, Adam, and Leszek Wojnar. "Machine Learning Versus Human-Developed Algorithms in Image Analysis of Microstructures." Quality Production Improvement - QPI 1, no. 1 (2019): 412–16. http://dx.doi.org/10.2478/cqpi-2019-0056.

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Abstract Automatic image analysis is nowadays a standard method in quality control of metallic materials, especially in grain size, graphite shape and non-metallic content evaluation. Automatically prepared solutions, based on machine learning, constitute an effective and sufficiently precise tool for classification. Human-developed algorithms, on the other hand, require much more experience in preparation, but allow better control of factors affecting the final result. Both attempts were described and compared.

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16

Weiß, K., and Christoph Honsel. "New Algorithm to Calculate Liquid – Solid Shrinkage and Graphite Expansion." Materials Science Forum 508 (March 2006): 509–14. http://dx.doi.org/10.4028/www.scientific.net/msf.508.509.

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Meanwhile the calculation of cooling and solidification is a well introduced tool into the foundry industry for calculating gating and riser systems. However, knowing the areas of last solidification is often no answer to the question if there are any defects in the casting or not. Of course one requirement is an exact description of the heat flow and the heat transfer between melt and mould. But furthermore the liquid/liquid and liquid/solid shrinkage influence the temperature fields due to a convective heat flux. Also auxiliary material influence the liquid/solid behaviour. Auxiliary materia

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17

CANTARAGIU, Ștefan. "SUITE DES LOGICIELS MATLAB POUR LE CALCUL DES PARAMETRES DU CIRCUITS DE MICRO-ONDES." Annals of the Academy of Romanian Scientists Series on Science and Technology of Information 17, no. 2 (2024): 40–51. https://doi.org/10.56082/annalsarsciinfo.2024.2.40.

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Le présent article est le troisième d'une série de trois articles publiés dans cette revue et qui fournit une brève présentation du livre « Microunde – soluții numerice » écrit par le même auteur. En se basant sur les méthodes et les algorithmes discutés dans le livre mentionné ci-dessus, le présent article présente un ensemble de programmes utilisant l'environnement de développement intégré Matlab qui sont conçus pour calculer certains paramètres des distributions de champ électromagnétique. De plus, cet article présente, à titre d'exemple, quelques applications concrètes afin d'illustrer com

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18

Liu, Guangjun, Xiaoping Xu, Xiangjia Yu, and Feng Wang. "Graphite Classification Based on Improved Convolution Neural Network." Processes 9, no. 11 (2021): 1995. http://dx.doi.org/10.3390/pr9111995.

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In the development of high-tech industries, graphite has become increasingly more important. The world has gradually entered the graphite era from the silicon era. In order to make good use of high-quality graphite resources, a graphite classification and recognition algorithm based on an improved convolution neural network is proposed in this paper. Based on the self-built initial data set, the offline expansion and online enhancement of the data set can effectively expand the data set and reduce the risk of deep convolution neural network overfitting. Based on the visual geometry group 16 (V

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19

Pavliuk, Alexander, Sergey Kotlyarevskiy, Evgeny Bespala, and Yuliya Bespala. "Potential of application of IRT-T research reactor as the solution of the problem of graphite radwaste disposal." Nuclear Energy and Technology 4, no. 2 (2018): 127–33. http://dx.doi.org/10.3897/nucet.4.30771.

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Aspects of handling irradiated graphite during decommissioning uranium-graphite reactors (UGR) of different types were investigated. It was demonstrated that handling reactor graphite is complicated by the presence in the composition of graphite of long-lived radionuclides, especially 14C, which may get entrained in biological cycles since carbon constitutes one of the main components of biological chains. Practical implementation of the process of selective separation of 14С can significantly reduce potential danger represented by graphite radioactive wastes due to the reduction of graphite a

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20

Matthies, Siegfried. "GEO-MIX-SELF calculations of the elastic properties of a textured graphite sample at different hydrostatic pressures." Journal of Applied Crystallography 45, no. 1 (2011): 1–16. http://dx.doi.org/10.1107/s002188981104338x.

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The recently developed GEO-MIX-SELF approximation (GMS) is applied to interpret the pressure dependence of the longitudinal ultrasonic wave velocities in a polycrystalline graphite sample that has already been investigated in a wide range of experimental contexts. Graphite single crystals have extremely anisotropic elastic properties, making this sample a challenging test to demonstrate the potential of the GMS method. GMS combines elements of well known self-consistent algorithms and of the geometric mean approximation. It is able to consider mixtures of different polycrystalline phases, each

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21

Danilov, V. N., and L. V. Voronkova. "ON THE INFLUENCE OF THE SIZE OF FLAKE GRAPHITE INCLUSIONS AND ITS VOLUME CONTENT ON THE ACOUSTIC PARAMETERS OF CAST IRON AND THE CHARACTERISTICS OF ULTRASONIC LONGITUDINAL WAVE SIGNALS." Kontrol'. Diagnostika, no. 279 (September 2021): 4–15. http://dx.doi.org/10.14489/td.2021.09.pp.004-015.

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Algorithms have been presented for calculating the velocity (in the approximation of a fine-layered model) and the attenuation coefficient of a longitudinal ultrasonic wave in cast iron, depending on the average size of graphite elements and its volume content, the calculation results for which are qualitatively confirmed experimentally. The calculation was performed using a fine-layered model of the structure, the graphite inclusions were described in the form of plane-parallel layers placed in an isotropic elastic medium (metal base). Computer simulation of acoustic paths for a mediumcast ir

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Pavliuk, Alexander, Sergey Kotlyarevskiy, Evgeny Bespala, and Yuliya Bespala. "Potential of application of IRT-T research reactor as the solution of the problem of graphite radwaste disposal." Nuclear Energy and Technology 4, no. (2) (2018): 127–33. https://doi.org/10.3897/nucet.4.30771.

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Aspects of handling irradiated graphite during decommissioning uranium-graphite reactors (UGR) of different types were investigated. It was demonstrated that handling reactor graphite is complicated by the presence in the composition of graphite of long-lived radionuclides, especially <sup>14</sup>C, which may get entrained in biological cycles since carbon constitutes one of the main components of biological chains. Practical implementation of the process of selective separation of <sup>14</sup>С can significantly reduce potential danger represented by graphite radioactive wastes due to the r

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23

Zhang, Huijie, Yao Chen, Zongjie Bi, Xiaohua Che, and Zhaoshuo Tian. "Detection of Phosphorus in Water by Laser-Induced Breakdown Spectroscopy Based on Liquid-Solid Transformation of Graphite Substrate Combined with PLS-SVR Fusion Quantitative Analysis Algorithm." Photonics 12, no. 6 (2025): 616. https://doi.org/10.3390/photonics12060616.

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To enhance sensitivity in detecting phosphorus in water via laser-induced breakdown spectroscopy (LIBS), this study integrates liquid–solid conversion on graphite substrates with a PLS-SVR fusion algorithm. Optimized laser parameters (500 mJ, 13 pulses) improved plasma excitation and signal-to-noise ratios. The graphite substrate adsorbed phosphorus, converting liquid samples into a solid matrix to suppress matrix interference and intensify spectral lines (P I 213.6 nm and 214.9 nm), achieving detection limits of 0.09 mg/L and 0.23 mg/L, respectively. Calibration curves showed high accuracy (R

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Fragassa, Cristiano, Matej Babic, Carlos Perez Bergmann, and Giangiacomo Minak. "Predicting the Tensile Behaviour of Cast Alloys by a Pattern Recognition Analysis on Experimental Data." Metals 9, no. 5 (2019): 557. http://dx.doi.org/10.3390/met9050557.

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The ability to accurately predict the mechanical properties of metals is essential for their correct use in the design of structures and components. This is even more important in the presence of materials, such as metal cast alloys, whose properties can vary significantly in relation to their constituent elements, microstructures, process parameters or treatments. This study shows how a machine learning approach, based on pattern recognition analysis on experimental data, is able to offer acceptable precision predictions with respect to the main mechanical properties of metals, as in the case

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Haldar, Barun, Hillol Joardar, Arpan Kumar Mondal, Nashmi H. Alrasheedi, Rashid Khan, and Murugesan P. Papathi. "Machine-Learning-Driven Analysis of Wear Loss and Frictional Behavior in Magnesium Hybrid Composites." Crystals 15, no. 5 (2025): 452. https://doi.org/10.3390/cryst15050452.

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The wear loss and frictional characteristics of magnesium-based hybrid composites reinforced with boron carbide (B4C) particles and graphite filler were the main subjects of the investigation. Key parameters, including reinforcement content (0–10 wt%), applied load (5–30 N), sliding speed (0.5–3 m/s), and sliding distance (500–3000 m), were varied. Data-driven machine learning (ML) algorithms were utilized to identify complex patterns and predict relationships between input variables and output responses. Five distinct machine learning algorithms, Artificial Neural Network (ANN), Random Forest

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26

Treacy, M. M. J., A. Krishnan, and P. N. Yianilos. "Inferring Physical Parameters from Images of Vibrating Carbon Nanotubes." Microscopy and Microanalysis 6, no. 4 (2000): 317–23. http://dx.doi.org/10.1017/s1431927602000557.

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AbstractWe describe a hidden parameter inferencing algorithm for deducing the length, width, and vibration profile from images of thermally excited single-wall carbon nanotubes. With accurate estimates of these parameters, the Young’s modulus can be deduced. The algorithm is sensitive to shot noise in the image, primarily because of the low nanotube image contrast. Noise causes the nanotube length and width to be overestimated, and the vibration amplitude to be underestimated. After correcting for shot noise, we infer an average value of the Young’s modulus of 〈Y〉= 1.20±0.20 TPa, which is larg

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Treacy, M. M. J., A. Krishnan, and P. N. Yianilos. "Inferring Physical Parameters from Images of Vibrating Carbon Nanotubes." Microscopy and Microanalysis 6, no. 4 (2000): 317–23. http://dx.doi.org/10.1007/s100050010037.

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Abstract We describe a hidden parameter inferencing algorithm for deducing the length, width, and vibration profile from images of thermally excited single-wall carbon nanotubes. With accurate estimates of these parameters, the Young’s modulus can be deduced. The algorithm is sensitive to shot noise in the image, primarily because of the low nanotube image contrast. Noise causes the nanotube length and width to be overestimated, and the vibration amplitude to be underestimated. After correcting for shot noise, we infer an average value of the Young’s modulus of 〈Y〉= 1.20±0.20 TPa, which is lar

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28

Yang, Dayong, Qingda Guo, Zhenping Wan, Zhiqing Zhang, and Xiaofang Huang. "Surface Roughness Prediction and Optimization in the Orthogonal Cutting of Graphite/Polymer Composites Based on Artificial Neural Network." Processes 9, no. 10 (2021): 1858. http://dx.doi.org/10.3390/pr9101858.

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Graphite/polymer composites are brittle materials that are prone to producing cracks and concavities on machined surfaces, and their surface quality shows greater randomness. This work aims to overcome the large fluctuations in the machined surface quality of graphite/polymer composites, realize the prediction of machined surface roughness under different machining conditions and optimize the process parameters. A graphite/polymer composite material was cut orthogonally using different machining parameters, and the machined surface roughness of the cut samples was measured by a noncontact surf

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Soykasap, Omer, and Şükrü Karakaya. "Structural Optimization of Laminated Composite Plates for Maximum Buckling Load Capacity Using Genetic Algorithm." Key Engineering Materials 348-349 (September 2007): 725–28. http://dx.doi.org/10.4028/www.scientific.net/kem.348-349.725.

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In this study, the structural optimization of laminated composite plates for maximum buckling load capacity is performed by using genetic algorithm. The composite plate under consideration is a 64-ply laminate made of graphite/epoxy, is simply supported on four sides, and subject to in-plane compressive static loads. The critical buckling loads are determined for several load cases and different plate aspect ratios using 2-ply stacks of 02, ±45, 902. The problem has multiple global solutions, the results of which are compared with previously published results.

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Imran, Malik M., Farrukh Mazhar, and Riaz Ahmad. "Multivariate Optimization of Fiber Reinforced Laminate Using Ant Colony Optimization Algorithm." Materials Science Forum 867 (August 2016): 116–20. http://dx.doi.org/10.4028/www.scientific.net/msf.867.116.

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Fiber reinforced laminate design is a challenging problem in the field of composite laminates. It provides us a systematic way to design the laminates of desired properties while conveniently incorporating the thick-ness and mass constraints. In this paper, we pursue the multivariate graphite fiber reinforced laminate design problem using Ant Colony Optimization (ACO) algorithm. Classical lamination theory is used to determine mid-plane strains, curvatures and stresses in individual lamina under applied biaxial loading conditions. The fiber orientations, lamina thickness, number of layers and

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31

Hossain, Md Monwar, Ananna Ghosh, Fahmina Sarkar Borsha, Md Khayrul Hasan, Muhammad Sohel Abedin, and Abdul Jabber Howlader. "Molecular phylogeny of swallowtail butterflies (Lepidoptera: Papilionidae) based on mitochondrial cytochrome c oxidase I (COI) gene from Bangladesh." Nepalese Journal of Zoology 6, S1 (2022): 1–6. http://dx.doi.org/10.3126/njz.v6is1.50523.

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Swallowtail butterflies (Papilionidae) are among the best-known insects in the world. Mitochondrial cytochrome c oxidase I (COI, 642 bp) gene from nine species under four genera of swallowtail butterflies was sequenced and submitted to the GenBank. Basic local alignment search tool (BLAST) analysis showed that the COI gene sequences of these nine butterflies matched those of respective species from different geographical areas (99-96% similarity). The interspecific genetic divergence among swallowtail species was between 0.01–0.15%. Phylogenetic tree constructed using the maximum likelihood al

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Kumar, Ambesh, Satyajit Panda, Vivek Narsaria, and Ashish Kumar. "Augmented constrained layer damping in plates through the optimal design of a 0-3 viscoelastic composite layer." Journal of Vibration and Control 24, no. 23 (2018): 5514–24. http://dx.doi.org/10.1177/1077546318756502.

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In this work, a new 0-3 viscoelastic composite (VEC) layer is presented for augmented constrained layer damping of plate vibration. The 0-3 VEC layer comprises a rectangular array of the thin rectangular graphite-wafers embedded within the viscoelastic matrix. The inclusions of graphite-wafers in the constrained 0-3 VEC layer confine the motion of the viscoelastic phase for its reasonable in-plane strains along with the enhanced transverse shear strains. This occurrence of coincidental shear and extensional strains within the viscoelastic phase is supposed to cause augmented damping capacity o

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Wang, Bo, Yong Zhang, and Rong Jun Chen. "Experimental and Numerical Simulation of Absorbing Property of Cement-Based Material Blending with Graphite and Carbon Fibers." Applied Mechanics and Materials 464 (November 2013): 20–24. http://dx.doi.org/10.4028/www.scientific.net/amm.464.20.

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The absorbing performance have been tested and analyzed by taking cement as matrix, blending material graphite and carbon fibers for absorbing agent trial Sample, in the 8 ~ 18 GHz frequency band, the results indicate that graphite and carbon fibers and composite cement which made of absorbing material has good absorbing property. Blending material absorbing properties of cement-based materials, the impact must be considered together, not the more the better, when blending material exceeding a certain threshold, enhance its ability of wave-transparent enhance while absorbing property will be r

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Carillon, Kevin, and François Lambotte. "Questionner les modes d’existence des traces numériques de nos échanges en organisation." Approches Théoriques en Information-Communication (ATIC) N° 8, no. 1 (2024): 35–54. http://dx.doi.org/10.3917/atic.008.0035.

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Depuis plusieurs années, les outils collaboratifs tels que Slack ou MS Teams ont fait leur apparition dans le paysage des organisations. Leur usage a connu une véritable explosion avec la pandémie de covid-19 et produit une masse de données sur nos échanges. Ces traces numériques, une fois collectées et stockées, font l’objet de calculs et de mises en association par des algorithmes qui se chargent ensuite de traduire ces résultats sous forme de visualisations de données agrégées au sein de tableaux de bord. Ceux-ci sont donnés à voir comme l’aboutissement d’un processus constituant une boîte

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Parusov, E. V., A. Yu Borisenko, E. V. Oliinyk, I. M. Chuiko, and O. V. Parusov. "Application of fractal analysis for quantitative evaluation of graphite inclusions in the cast iron structure." Fundamental and applied problems of ferrous metallurgy, no. 38 (2024): 644–55. https://doi.org/10.52150/2522-9117-2024-38-644-655.

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The application of the theory of fractals in materials science during the analysis or modeling of various types of structures and their relationship with material properties is the most widespread, accessible and reliable direction. The purpose of the work was to determine the fractal dimension of graphite inclusions depending on their shape and distribution in the structure of gray cast iron. The search for the average fractal dimension of graphite inclusions was carried out in a computer program, the essence of which is to determine the closest convergence of fractal dimension values calcula

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Deveci, H. Arda, and H. Seçil Artem. "On the estimation and optimization capabilities of the fatigue life prediction models in composite laminates." Journal of Reinforced Plastics and Composites 37, no. 21 (2018): 1304–21. http://dx.doi.org/10.1177/0731684418791231.

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In this study, the estimation and optimization capabilities of the multiaxial fatigue life prediction models, namely, Failure Tensor Polynomial in Fatigue, Fawaz–Ellyin, Sims–Brogdon and Shokrieh–Taheri are investigated comparatively. Fatigue life predictions are obtained for multidirectional graphite/epoxy, glass/epoxy, carbon/epoxy and carbon/PEEK composite laminate data taken from the literature. The prediction study shows that the models can predict the fatigue behavior of the multidirectional laminates at different degrees of proximity. In the optimization, a hybrid algorithm combining pa

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Hiche, Cristobal, Clyde K. Coelho, and Aditi Chattopadhyay. "A strain amplitude-based algorithm for impact localization on composite laminates." Journal of Intelligent Material Systems and Structures 22, no. 17 (2011): 2061–67. http://dx.doi.org/10.1177/1045389x11424214.

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Automated detection of damage due to low energy impacts in composite structures is very important for aerospace structural health monitoring applications. Low-velocity impact creates subsurface damage that can significantly reduce the stiffness of a component, yet show barely visible damage. This article proposes a novel methodology for impact localization based on the maximum strain amplitude measured by fiber Bragg grating (FBG) sensors during an impact event. The approach correlates the strain amplitude of each sensor pair to find the location of highest strain corresponding to the impact l

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Shriver-Lake, Lisa C., Rachael L. Myers-Ward, Scott N. Dean, Jeffrey S. Erickson, David A. Stenger, and Scott A. Trammell. "Multilayer Epitaxial Graphene on Silicon Carbide: A Stable Working Electrode for Seawater Samples Spiked with Environmental Contaminants." Sensors 20, no. 14 (2020): 4006. http://dx.doi.org/10.3390/s20144006.

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The electrochemical response of multilayer epitaxial graphene electrodes on silicon carbide substrates was studied for use as an electrochemical sensor for seawater samples spiked with environmental contaminants using cyclic square wave voltammetry. Results indicate that these graphene working electrodes are more robust and have lower background current than either screen-printed carbon or edge-plane graphite in seawater. Identification algorithms developed using machine learning techniques are described for several heavy metals, herbicides, pesticides, and industrial compounds. Dose-response

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Yu, Jia, Xuan Chen, Xiaoliang Ma, Qingfei Song, Yukun Zhao, and Jiahao Cao. "Influence of Nanoparticles and Graphite Foam on the Supercooling of Acetamide." Journal of Nanomaterials 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/313674.

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Acetamide is a promising phase change materials (PCMs) for thermal storage,but the large supercooling during the freezing process has limited its application. In this study, we prepared acetamide-SiO2composites by adding nano-SiO2into acetamide. This modified PCM was then impregnated into the porous graphite foam forming acetamide-SiO2-graphite foam form-stable composites. These composites were subjected to melting-solidification cycles 50 times; the time-temperature curves were tracked and recorded during these cycles. The time-temperature curves showed that, for the acetamide containing 2 wt

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Karmakar, Amit, and Kikuo Kishimoto. "Transient Dynamic Response of Delaminated Composite Twisted Cylindrical Shells Subjected to Low Velocity Impact." Key Engineering Materials 297-300 (November 2005): 1285–90. http://dx.doi.org/10.4028/www.scientific.net/kem.297-300.1285.

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In this paper a transient dynamic finite element analysis is presented to study the response of centrally impacted delaminated composite pretwisted cylindrical shells. An eight noded isoparametric plate bending element is employed in the finite element formulation. Effects of transverse shear deformation and rotary inertia are included. To satisfy the compatibility of deformation and equilibrium of resultant forces and moments at the delamination crack front a multipoint constraint algorithm is incorporated. The modified Hertzian contact law which accounts for permanent indentation is utilized

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Wang, Ying, Yan Zhang, Jinmao Li, and Chunlian Song. "Prediction and Modelling of Plasma Jet Zone Temperature for DC Arc Graphite Purification." Journal of Physics: Conference Series 2510, no. 1 (2023): 012013. http://dx.doi.org/10.1088/1742-6596/2510/1/012013.

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Abstract The random forest algorithm was used to analyze the degree of influence of four variables, namely, voltage, current, main gas flow rate, and powder feed, on the temperature of the plasma jet zone of the DC arc graphite purification. The BP algorithm was then used to build a network prediction model. After the training of the network, the validity of the model was verified by comparing the measured temperature values with the predicted results. From the results, it can be seen that the relative error of the prediction results is between -0.3 %and +0.3%, which proves that the built BP n

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Pleshivtseva, Yuliya, Edgar Rapoport, Bernard Nacke, et al. "Design concepts of induction mass heating technology based on multiple-criteria optimization." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 36, no. 2 (2017): 386–400. http://dx.doi.org/10.1108/compel-05-2016-0216.

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Purpose The purpose of this paper is to describe main ideas and demonstrate results of the research activities carried out by the authors in the field of design concepts of induction mass heating technology based on multiple-criteria optimization. The main goal of the studies is the application of different optimization methods and numerical finite element method (FEM) codes for field analysis to solve the multi-objective optimization problem that is mathematically formulated in terms of the most important optimization criteria, for example, maximum temperature uniformity, maximum energy effic

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L'vov, B. V., L. K. Polzik, A. V. Novichikhin, A. V. Borodin, and A. O. Dyakov. "Improved algorithm for linearization of calibration curves in Zeeman graphite furnace atomic absorption spectrometry." Spectrochimica Acta Part B: Atomic Spectroscopy 51, no. 6 (1996): 609–18. http://dx.doi.org/10.1016/0584-8547(95)01444-6.

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Hu, Longzhou, Rong Hu, Zengsheng Ma, and Wenjuan Jiang. "State of Charge Estimation and Evaluation of Lithium Battery Using Kalman Filter Algorithms." Materials 15, no. 24 (2022): 8744. http://dx.doi.org/10.3390/ma15248744.

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The accurate and rapid estimation of the state of charge (SOC) is important and difficult in lithium battery management systems. In this paper, an adaptive infinite Kalman filter (AUKF) was used to estimate the state of charge for a 18650 LiNiMnCoO2/graphite lithium-ion battery, and its performance was systematically evaluated under large initial errors, wide temperature ranges, and different drive cycles. In addition, three other Kalman filter algorithms on the predicted SOC of LIB were compared under different work conditions, and the accuracy and convergence time of different models were co

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Khalaf, Mohammed M., Rashad Ismail, Mohammed M. Ali Al-Shamiri, and Abdelazeem M. Abdelwahab. "Gas Cooled Graphite Moderated and Pressurized Water Reactor the Optimal Choice for Nuclear Power Plants Based on a New Group Decision-Making Technique." Symmetry 14, no. 12 (2022): 2621. http://dx.doi.org/10.3390/sym14122621.

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The aim of this work is to introduce the novel concept of an m-polar fuzzy soft set, including various types of algorithms and their fundamental operations. We created mathematical modeling to analyze operational rules and discuss the advantages, disadvantages, and natural aspects of algorithms for six types of nuclear power plants. It has been determined that emerging trends and the benefits of algorithms are increasing step by step. The suggested modeling with an m-polar fuzzy soft set is integrated into the fuzzy mean environment to analyze the effect of the correlation between decision fac

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Pleshakov, Victor. "Computer models of icosahedral carbon nanostructures (shungite)." Journal of Applied Crystallography 47, no. 2 (2014): 539–43. http://dx.doi.org/10.1107/s1600576713033943.

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A universal algorithm for the generation of three-dimensional models of icosahedral fullerene-like carbon nanostructures has been developed. Coordinates of atoms on their surface are calculated and three-dimensional models of fulleroids – nested icosahedra – are built. A flat model consisting of five graphite layers of varying diameters is computed in an attempt to explain the nature of the diffraction maximum (d≃ 6.81 Å, 2θ ≃ 13°) in shungite carbon by the existence of edge effects, carbon atoms or small fragments of layers in the interlayer space, or dislocation rings.

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Terra, André Miguel Barge Pontes Torres, Jorge Alberto Valle da Silva, and Ronaldo Glicério Cabral. "Three-Group Albedo Method Applied to the Diffusion Phenomenon with Up-Scattering of Neutrons." Defect and Diffusion Forum 258-260 (October 2006): 403–8. http://dx.doi.org/10.4028/www.scientific.net/ddf.258-260.403.

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The main objective of this research is to develop a three-group neutron Albedo algorithm considering the up-scattering of neutrons in order to analyze the diffusion phenomenon in nonmultiplying media. The neutron Albedo method is an analytical method that does not try to solve explicit describing equations for the neutron fluxes [1,2]. Thus the neutron Albedo methodology is very different from the conventional methodology, as the neutron diffusion theory model. Graphite is analyzed as a model case. One major application is in the determination of the nonleakage probabilities with more understa

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DEY, SUDIP, and AMIT KARMAKAR. "PARAMETERIZATION OF NATURAL MODES OF COMPOSITE ROTATING CONICAL SHELLS WITH MULTIPLE DELAMINATION." International Journal of Computational Materials Science and Engineering 01, no. 03 (2012): 1250024. http://dx.doi.org/10.1142/s2047684112500248.

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This paper describes a comparative study on free vibration of bending stiff, torsion stiff and quasi-isotropic graphite-epoxy composite conical shells with single and multiple delamination. The finite element formulation is based on Mindlin's theory and multi-point constraint algorithm neglecting the Coriolis effect for moderate rotational speeds. Computer codes are developed employing QR iteration method to obtain delaminated natural frequencies under combined effect of twist and rotation. Mode shapes are depicted for a typical laminate configuration. The non-dimensional natural frequencies o

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Cui, D., D. K. Li, and S. M. Zhou. "Hygro-Thermally Curvature-Stable Free-Layer Composite Laminates with Extension-Twist Coupling." Advanced Composites Letters 27, no. 3 (2018): 096369351802700. http://dx.doi.org/10.1177/096369351802700303.

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The tensile strength and compressive strength are indispensable indexes during the design process of composite laminates. For hygro-thermally curvature-stable extension-twist coupled laminates, the improved Differential Evolution Algorithm combined with penalty function is adopted to solve the nonlinear strong constraint of free-layer laminates. The synchronous optimization of multiple targets is achieved, which includes extension-twist coupled effect, tensile strength, compressive strength and buckling strength. Results are presented for free-layer graphite/epoxy composites laminates that con

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Kölbl, G., K. Kalcher, and K. J. Irgolic. "Computerized data treatment for an HPLC-GFAAS system for the identification and quantification of trace element compounds." Journal of Automatic Chemistry 15, no. 2 (1993): 37–45. http://dx.doi.org/10.1155/s1463924693000082.

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Liquid chromatographs, coupled with graphite furnace atomic absorption spectrometers, have been widely used for the identification and quantification of trace element compounds. The quantification of the discontinuous signals from the spectrometer defining a chromatographic band is very much a matter of judgement and therefore prone to error. This paper describes a system which links a high-performance liquid chromatograph via a ‘Brinckman’ flowthrough cup to a Hitachi Zeeman graphite furnace atomic absorption spectrometer equipped with an autosampler. The introduction of aliquots from the col

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