Search results for "Applied Physics"

showing 10 items of 1226 documents

Estimating ion confinement times from beam current transients in conventional and charge breeder ECRIS

2019

International audience; Cumulative ion confinement times are probed by measuring decaying ion current transients in pulsed material injection mode. The method is applied in a charge breeder and conventional ECRIS yielding mutually corroborative results. The cumulative confinement time estimates vary from approximately 2 ms–60 ms with a clear dependence on the ion charge-to-mass ratio—higher charges having longer residence times. The long cumulative confinement times are proposed as a partial explanation to recently observed unexpectedly high ion temperatures. The results are relevant for rare ion beam (RIB) production as the confinement time and the lifetime of stable isotopes can be used f…

010302 applied physicsplasma sourcesMaterials scienceplasma diagnosticsIon beamStable isotope ratio[PHYS.PHYS.PHYS-ACC-PH]Physics [physics]/Physics [physics]/Accelerator Physics [physics.acc-ph]Ion currentCharge (physics)plasmatekniikka7. Clean energy01 natural sciences010305 fluids & plasmasIonion sourcesplasma dischargesBreeder (animal)0103 physical sciencesAtomic physicsCurrent (fluid)InstrumentationBeam (structure)
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Review of the PEA Method for Space Charge Measurements on HVDC Cables and Mini-Cables

2019

This review takes into account articles and standards published in recent years concerning the application of the Pulsed Electro Acoustic (PEA) method for space charge measurement on High Voltage Direct Current (HVDC) cables and mini-cables. Since the 80s, the PEA method has been implemented for space charge measurements on flat specimens in order to investigate space charge phenomena and to evaluate the ageing of dielectrics. In recent years, this technique has been adapted to cylindrical geometry. Several studies and experiments have been carried out on the use of the PEA method for full size cables and HVDC cable models. The experiments have been conducted using different arrangements of…

010302 applied physicspulsed Electroacoustic technique (PEA)Cylindrical geometryControl and Optimizationlcsh:TRenewable Energy Sustainability and the EnvironmentComputer science020209 energyEnergy Engineering and Power TechnologyMechanical engineering02 engineering and technologylcsh:Technology01 natural sciencesSpace chargeHVDC cablesSpace chargeSettore ING-IND/31 - ElettrotecnicaReliability (semiconductor)0103 physical sciences0202 electrical engineering electronic engineering information engineeringHigh-voltage direct currentElectrical and Electronic EngineeringEngineering (miscellaneous)Energy (miscellaneous)
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Evaluation of the Colorimetric Performance of Single-Sensor Image Acquisition Systems Employing Colour and Multispectral Filter Array

2015

International audience; Single-sensor colour imaging systems mostly employ a colour filter array (CFA). This enables the acquisition of a colour image by a single sensor at one exposure at the cost of reduced spatial resolution. The idea of CFA fit itself well with multispectral purposes by incorporating more than three types of filters into the array which results in multispectral filter array (MSFA). In comparison with a CFA, an MSFA trades spatial resolution for spectral resolution. A simulation was performed to evaluate the colorimetric performance of such CFA/MSFA imaging systems and investigate the trade-off between spatial resolution and spectral resolution by comparing CFA and MSFA …

010302 applied physicssingle-sensorDemosaicingComputer sciencebusiness.industryColour filter arrayMultispectral imageBilinear interpolation01 natural sciencescolour filter array010309 opticsWaveletFilter (video)colorimetric performance[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]0103 physical sciences[ INFO.INFO-TI ] Computer Science [cs]/Image Processingmultispectral imagingComputer visionArtificial intelligenceSpectral resolutionbusinessImage resolution
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Multiphysical Modeling of Transport Phenomena During Laser Welding of Dissimilar Steels

2016

Abstract The success of new high-strength steels allows attaining equivalent performances with lower thicknesses and significant weight reduction. The welding of new couples of steel grades requires development and control of joining processes. Thanks to high precision and good flexibility, laser welding became one of the most used processes for joining of dissimilar welded blanks. The prediction of the local chemical composition in the weld formed between dissimilar steels in function of the welding parameters is essential because the dilution rate and the distribution of alloying elements in the melted zone determines the final tensile strength of the weld. The goal of the present study i…

010302 applied physicsturbulent flowHeat-affected zoneMaterials scienceLaser beam weldingdissimilar materials02 engineering and technologyMechanicsWeldingPhysics and Astronomy(all)021001 nanoscience & nanotechnology01 natural sciencesFick's laws of diffusiontransport of specieslaw.inventionlaminar flowlaw0103 physical sciencesHeat transferWeld poolLaser weldingDiffusion (business)0210 nano-technologyTransport phenomenaPhysics Procedia
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A Methodology to Derive Global Maps of Leaf Traits Using Remote Sensing and Climate Data

2018

This paper introduces a modular processing chain to derive global high-resolution maps of leaf traits. In particular, we present global maps at 500 m resolution of specific leaf area, leaf dry matter content, leaf nitrogen and phosphorus content per dry mass, and leaf nitrogen/phosphorus ratio. The processing chain exploits machine learning techniques along with optical remote sensing data (MODIS/Landsat) and climate data for gap filling and up-scaling of in-situ measured leaf traits. The chain first uses random forests regression with surrogates to fill gaps in the database (> 45% of missing entries) and maximizes the global representativeness of the trait dataset. Plant species are then a…

0106 biological sciencesFOS: Computer and information sciences010504 meteorology & atmospheric sciencesSpecific leaf areaClimateBos- en LandschapsecologieSoil ScienceFOS: Physical sciencesApplied Physics (physics.app-ph)010603 evolutionary biology01 natural sciencesStatistics - ApplicationsGoodness of fitAbundance (ecology)Machine learningForest and Landscape EcologyApplications (stat.AP)Computers in Earth SciencesPlant ecologyVegetatie0105 earth and related environmental sciencesRemote sensingMathematics2. Zero hungerPlant traitsVegetationData stream miningClimate; Landsat; Machine learning; MODIS; Plant ecology; Plant traits; Random forests; Remote sensing; Soil Science; Geology; Computers in Earth SciencesGlobal MapRegression analysisGeologyPhysics - Applied Physics15. Life on landRandom forestsRemote sensingPE&RCRandom forestMODISTraitVegetatie Bos- en LandschapsecologieVegetation Forest and Landscape EcologyLandsat
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Backlash Identification in Two-Mass Systems by Delayed Relay Feedback

2019

Backlash, also known as mechanical play, is a piecewise differentiable nonlinearity which exists in several actuated systems, comprising, e.g., rack-and-pinion drives, shaft couplings, toothed gears, and other machine elements. Generally, the backlash is nested between the moving parts of a complex dynamic system, which handicaps its proper detection and identification. A classical example is the two-mass system which can approximate numerous mechanisms connected by a shaft (or link) with relatively high stiffness and backlash in series. Information about the presence and extent of the backlash is seldom exactly known and is rather conditional upon factors such as wear, fatigue and incipien…

0209 industrial biotechnologyComputer scienceSystems and Control (eess.SY)02 engineering and technology01 natural scienceslaw.inventionSystem model020901 industrial engineering & automationControl theoryRelaylaw0103 physical sciencesLimit (music)FOS: Electrical engineering electronic engineering information engineeringInstrumentation010302 applied physicsCouplingMechanical EngineeringComputer Science ApplicationsNonlinear systemIdentification (information)Control and Systems EngineeringPiecewiseComputer Science - Systems and ControlBacklashInformation SystemsJournal of Dynamic Systems, Measurement, and Control
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On the complete interface development of Al/Cu magnetic pulse welding via experimental characterizations and multiphysics numerical simulations

2021

Abstract A complex Al/Cu magnetic pulse welding interface is systematically investigated using experimental characterizations and numerical simulations. A Coupled electromagnetic-mechanical simulation is proposed to compute the impact velocity and impact angle along the entire interface. This model allows to further understand the formation mechanism of various interface characteristics during MPW. The results revealed that the impact velocity gradually decreases in conjunction with the gradual increase of the impact angle. These simulations elucidate the experimentally observed successive interface morphologies, i.e., the unwelded zone, vortex zone, intermediate (IM) layers and wavy interf…

0209 industrial biotechnologyVoid (astronomy)Materials scienceMultiphysicsFOS: Physical sciences02 engineering and technologyWeldingApplied Physics (physics.app-ph)Industrial and Manufacturing Engineeringlaw.invention020901 industrial engineering & automation0203 mechanical engineeringlawModelling and SimulationCondensed Matter - Materials ScienceDeformation (mechanics)Metals and AlloysMaterials Science (cond-mat.mtrl-sci)Physics - Applied PhysicsMechanicsVortexComputer Science ApplicationsWavelength020303 mechanical engineering & transportsAmplitudeMagnetic pulse weldingModeling and SimulationCeramics and Composites
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Microtubule disruption changes endothelial cell mechanics and adhesion

2019

AbstractThe interest in studying the mechanical and adhesive properties of cells has increased in recent years. The cytoskeleton is known to play a key role in cell mechanics. However, the role of the microtubules in shaping cell mechanics is not yet well understood. We have employed Atomic Force Microscopy (AFM) together with confocal fluorescence microscopy to determine the role of microtubules in cytomechanics of Human Umbilical Vein Endothelial Cells (HUVECs). Additionally, the time variation of the adhesion between tip and cell surface was studied. The disruption of microtubules by exposing the cells to two colchicine concentrations was monitored as a function of time. Already, after 3…

0301 basic medicineCell biologyIntravital MicroscopyScienceConfocalCellBiophysicsCell Culture Techniques02 engineering and technologyMicroscopy Atomic ForceMechanotransduction CellularMicrotubulesArticleUmbilical veinCell Line03 medical and health sciencesMicrotubuleCell AdhesionHuman Umbilical Vein Endothelial CellsFluorescence microscopemedicineHumansCytoskeletonCytoskeletonMicroscopy ConfocalMultidisciplinaryDose-Response Relationship DrugChemistryPhysicsQRMechanicsAdhesion021001 nanoscience & nanotechnologyMaterials scienceApplied physicsEndothelial stem cell030104 developmental biologymedicine.anatomical_structureMicroscopy FluorescenceMedicineBiomaterials - cellsColchicine0210 nano-technologyBiological physicsScientific Reports
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A deeper look into natural sciences with physics-based and data-driven measures

2021

Summary With the development of machine learning in recent years, it is possible to glean much more information from an experimental data set to study matter. In this perspective, we discuss some state-of-the-art data-driven tools to analyze latent effects in data and explain their applicability in natural science, focusing on two recently introduced, physics-motivated computationally cheap tools—latent entropy and latent dimension. We exemplify their capabilities by applying them on several examples in the natural sciences and show that they reveal so far unobserved features such as, for example, a gradient in a magnetic measurement and a latent network of glymphatic channels from the mous…

0301 basic medicineDynamical systems theory02 engineering and technologyMachine learningcomputer.software_genreData-drivenSet (abstract data type)03 medical and health sciencesArtificial IntelligenceEntropy (information theory)Dimension (data warehouse)lcsh:ScienceApplied PhysicsMultidisciplinarybusiness.industryPhysicsPerspective (graphical)MagnetismExperimental dataPhysik (inkl. Astronomie)021001 nanoscience & nanotechnology030104 developmental biologyPerspectiveComputer Sciencelcsh:QRelaxation (approximation)Artificial intelligence0210 nano-technologybusinesscomputeriScience
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Electrooxidation of coconut oil in alkaline electrolyte

2017

Providing more and more energy is an essential task of the today’s energetic industry. In the last few years, in addition to the traditional methods of energy production, alternative energy sources have been developing fast. One of the devices that can make use of these sources is a fuel cell. The fuel cells can be a power source of future mainly due to their high efficiency, low influence on environment and the possibility of powering with different fuels. Most often, fuel cells are powered by hydrogen. However, the problems with its cheap production and storage are the reason for the search for alternative fuels for fuel cells. It is important that the new fuel will be characterized by ze…

0301 basic medicineMaterials sciencefood.ingredientelectrooxidationElectrolyte01 natural scienceslcsh:TD1-1066fuel cell03 medical and health sciencesfood0103 physical scienceslcsh:Environmental technology. Sanitary engineeringrenewable energy sourceslcsh:Environmental sciencesEcology Evolution Behavior and Systematicscoconut oilGeneral Environmental Sciencelcsh:GE1-350010302 applied physics030109 nutrition & dieteticsWaste managementbusiness.industryCoconut oilRenewable energyenvironment engineeringFuel cellsbusinessJournal of Ecological Engineering
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