Search results for "Fluid flow"

showing 10 items of 405 documents

Coupling between oxidation kinetics and anisothermal oil flow during deep-fat frying

2021

Deep-fat frying is a cooking technique that has been used continuously since prehistoric times. A domestic deep-fryer heated from the bottom develops significant convection inside the bath cavity. It is responsible for very high heat transfer coefficients and the exposure of the deep-frying oil to the atmospheric oxygen. The continuous conversion of gaseous dioxygen into unstable and reactive hydroperoxides and their subsequent advection throughout the bulk volume is at the origin of the main complaints made of frying which includes issues such as odors, fouling, and generation of several toxic compounds. This study analyzes the coupling between natural convection of triacylglycerols and th…

ConvectionComputational MechanicsThermodynamics010402 general chemistry01 natural sciencesEndothermic process0404 agricultural biotechnologyFluid Flow and Transfer ProcessesPhysicsNatural convectionAutoxidationHeating elementAdvectionMechanical Engineering[SPI.FLUID]Engineering Sciences [physics]/Reactive fluid environment04 agricultural and veterinary sciences[SPI.FLUID] Engineering Sciences [physics]/Reactive fluid environmentCondensed Matter Physics040401 food scienceDecomposition0104 chemical sciences[SDV.AEN] Life Sciences [q-bio]/Food and NutritionVolume (thermodynamics)13. Climate actionMechanics of Materials[SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
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Onset of Convection in an Inclined Anisotropic Porous Layer with Internal Heat Generation

2019

The onset of convection in an inclined porous layer which is heated internally by a uniform distribution of heat sources is considered. We investigate the combined effects of inclination, anisotropy and internal heat generation on the linear instability of the basic parallel flow. When the Rayleigh number is sufficiently large, instability occurs and a convective motion is set up. It turns out that the preferred motion at convection onset depends quite strongly on the anisotropy ratio, &xi

ConvectioninclinationMaterials scienceonsetComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologyanisotropylcsh:Thermodynamics01 natural sciencesInstability010305 fluids & plasmasPhysics::Fluid Dynamicsporous media0203 mechanical engineeringlcsh:QC310.15-3190103 physical sciencesAstrophysics::Solar and Stellar Astrophysicsheat generationAnisotropyconvectionlcsh:QC120-168.85Fluid Flow and Transfer ProcessesMechanical EngineeringMechanicsRayleigh numberCondensed Matter PhysicsVDP::Matematikk og Naturvitenskap: 400::Matematikk: 410Transverse plane020303 mechanical engineering & transportsTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESHeat generationComputer Science::Programming Languageslcsh:Descriptive and experimental mechanicsAstrophysics::Earth and Planetary AstrophysicsInternal heatingPorous mediumFluids
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Interaction between turbulent structures and particles in roughened channel

2016

Abstract The distribution of inertial particles in turbulent flows is highly non-uniform and is driven by the local dynamics of the turbulent structures of the underlying carrier flow field. In the specific context of dilute particle-laden wall-bounded flows, deposition and resuspension mechanisms are dominated by the interaction between inertial particles and coherent turbulent structures characteristic of the wall region. The macroscopic behavior of these two-phase systems is influenced by particle inertia, which plays a role at the microscale of a single dispersed element. These turbulent structures, which control the turbulent regeneration cycles, are strongly affected by the wall rough…

DNSmedia_common.quotation_subjectDirect numerical simulationGeneral Physics and AstronomyContext (language use)Lagrangian particle trackingInertia01 natural sciencesSettore ICAR/01 - Idraulica010305 fluids & plasmasPhysics::Fluid DynamicsPhysics and Astronomy (all)symbols.namesake0103 physical sciences010306 general physicsDispersion (water waves)media_commonFluid Flow and Transfer ProcessesPhysicsTurbulenceMechanical EngineeringParticle-laden flowReynolds numberMechanicsTurbulenceClassical mechanicssymbolsParticleLagrangian trackingParticle mass fluxRoughneInternational Journal of Multiphase Flow
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Towards Low-Cost Pavement Condition Health Monitoring and Analysis Using Deep Learning

2020

Governments are faced with countless challenges to maintain conditions of road networks. This is due to financial and physical resource deficiencies of road authorities. Therefore, low-cost automated systems are sought after to alleviate these issues and deliver adequate road conditions for citizens. There have been several attempts at creating such systems and integrating them within Pavement management systems. This paper utilizes replicable deep learning techniques to carry out hotspot analyses on urban road networks highlighting important pavement distress types and associated severities. Following this, analyses were performed illustrating how the hotspot analysis can be carried out to…

Damage detectionComputer science0211 other engineering and technologies02 engineering and technologylcsh:Technologylcsh:ChemistryTransport engineeringAutomated detectionSeverity assessmentRoad networks021105 building & constructionlow-cost technologies0202 electrical engineering electronic engineering information engineeringSettore ICAR/04 - Strade Ferrovie Ed AeroportiGeneral Materials ScienceRoad pavement distresseslcsh:QH301-705.5InstrumentationPavement management systemFluid Flow and Transfer Processeslcsh:Tbusiness.industryProcess Chemistry and TechnologyDeep learningLow-cost technologieGeneral EngineeringPavement managementDeep learningUrban roadIntegrated approachlcsh:QC1-999Computer Science ApplicationsWorkflowlcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040020201 artificial intelligence & image processingArtificial intelligencelcsh:Engineering (General). Civil engineering (General)businesslcsh:PhysicsPavement condition monitoringApplied Sciences
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Pulse Oximetry as a Diagnostic Tool to Determine Pulp Vitality: A Systematic Review

2021

Pulse oximetry (PO) can be used as a technique to assess vascularization. Although it is commonly used in the field of medicine, it still has limited use in dentistry. The aim of this study is to evaluate, by means of a systematic review, if pulse oximetry is a viable and effective system to determine pulp vitality and assess the clinical criteria for its use. A literature search was performed in Medline, Scopus, Embase, and Web of Science databases. Clinical studies using pulse oximetry as a tool to determine pulp vitality in permanent teeth were eligible. Quality assessment of the included studies was performed following the Quality Assessment for Diagnostic Accuracy Studies (QUADAS-2) gu…

Dental practicemedicine.medical_specialtydiagnosisMEDLINElcsh:Technologylcsh:Chemistry03 medical and health sciencespulp vitality0302 clinical medicinesystematic reviewTooth pulp stimulationmedicineGeneral Materials Science030212 general & internal medicineIntensive care medicineInstrumentationlcsh:QH301-705.5Fluid Flow and Transfer Processesmedicine.diagnostic_testbusiness.industryQuality assessmentlcsh:TProcess Chemistry and TechnologyGeneral Engineering030206 dentistryEndodonticslcsh:QC1-999Computer Science Applicationspulse oximetryPulse oximetryendodonticsCold testlcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040Pulp (tooth)businesslcsh:Engineering (General). Civil engineering (General)lcsh:PhysicsApplied Sciences
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Combined proton NMR wideline and NMR relaxometry to study SOM-water interactions of cation-treated soils

2013

Abstract Focusing on the idea that multivalent cations affect SOM matrix and surface, we treated peat and soil samples by solutions of NaCl, CaCl2 or AlCl3. Water binding was characterized with low field 1H-NMR-relaxometry (20 MHz) and 1H wideline NMR spectroscopy (400 MHz) and compared to contact angles. From 1H wideline, we distinguished mobile water and water involved in water molecule bridges (WaMB). Large part of cation bridges (CaB) between SOM functional groups are associated with WaMB. Unexpectedly, 1H NMRrelaxometry relaxation rates suggest that cross-linking in the Al-containing peat is not stronger than that by Ca. The relation between percentage of mobile water and WaMB water in…

Dewey Decimal Classification::500 | Naturwissenschaften::550 | GeowissenschaftenDewey Decimal Classification::500 | Naturwissenschaften::570 | Biowissenschaften BiologieDewey Decimal Classification::600 | Technik::630 | Landwirtschaft VeterinärmedizinAnalytical chemistrySoil organic matter (SOM); Low field 1H NMR relaxometry; 1H wideline NMR spectroscopy; Contact angle; Cation bridges; Water molecule bridges.TA Engineering (General). Civil engineering (General)soil organic matter (som)Low field H-1 NMR relaxometrystateContact angleNuclear magnetic resonancewater molecule bridgesddc:550ddc:630natural organic-mattercontact angleWater Science and TechnologyFluid Flow and Transfer Processeschemistry.chemical_classificationhumic substancesWater molecule bridges.Nuclear magnetic resonance spectroscopycation bridgesCation bridgemultiexponential decay datanuclear-magnetic-resonanceH-1 wideline NMR spectroscopyProton NMRWater bindingTC1-978Relaxometryuniform-penalty inversionlow field 1h nmr relaxometrySettore AGR/13 - Chimica AgrariaContext (language use)1h wideline nmr spectroscopyforest soilsCation bridgesddc:570sandy soilOrganic mattercontact-angleContact angleSoil organic matter (SOM)repellencyMechanical EngineeringHydraulic engineeringchemistrySoil waterWater molecule bridgesJournal of Hydrology and Hydromechanics
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A review of health assessment techniques for distribution transformers in smart distribution grids

2020

Due to the large number of distribution transformers in the distribution grid, the status of distribution transformers plays an important role in ensuring the safe and reliable operation of the these grids. To evaluate the distribution transformer health, many assessment techniques have been studied and developed. These tools will support the transformer operators in predicting the status of the distribution transformer and responding effectively. This paper will review the literature in the area, analyze the latest techniques as well as highlight the advantages and disadvantages of current methodologies.

Distribution (number theory)Computer science020209 energy02 engineering and technologyDistribution transformer01 natural scienceslcsh:Technologylcsh:Chemistry0103 physical sciences0202 electrical engineering electronic engineering information engineeringGeneral Materials Sciencedistribution transformerInstrumentationlcsh:QH301-705.5Transformer (machine learning model)010302 applied physicsFluid Flow and Transfer Processeslcsh:TProcess Chemistry and TechnologyGeneral Engineeringreal-time assessmentTransformer healthtransformer failureslcsh:QC1-999Computer Science ApplicationsReliability engineeringSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaHealth assessmentlcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040Distribution gridlcsh:Engineering (General). Civil engineering (General)lcsh:Physicstransformer failure
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Subsurface flow and large-scale lateral saturated soil hydraulic conductivity in a Mediterranean hillslope with contrasting land uses

2017

Abstract The lateral saturated hydraulic conductivity, Ks,l , is the soil property that mostly governs subsurface flow in hillslopes. Determinations of Ks,l at the hillslope scale are expected to yield valuable information for interpreting and modeling hydrological processes since soil heterogeneities are functionally averaged in this case. However, these data are rare since the experiments are quite difficult and costly. In this investigation, that was carried out in Sardinia (Italy), large-scale determinations of Ks,l were done in two adjacent hillslopes covered by a Mediterranean maquis and grass, respectively, with the following objectives: i) to evaluate the effect of land use change o…

Drain; Land use change; Maquis; Pore connectivity; Sprinkling experiments; Subsurface runoff; Water Science and Technology; Mechanical Engineering; Fluid Flow and Transfer ProcessesMediterranean climateScale (ratio)0208 environmental biotechnologymaquisSoil science02 engineering and technologyDrainsprinkling experimentsHydraulic conductivitySettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliSubsurface flowLand use changeWater Science and TechnologyHydrologyFluid Flow and Transfer ProcessesPore connectivityLand useMechanical EngineeringSprinkling experimentHydraulic engineering020801 environmental engineeringMaquiSubsurface runoffTC1-978Geology
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Detection of Ventricular Fibrillation Using the Image from Time-Frequency Representation and Combined Classifiers without Feature Extraction

2018

Due the fact that the required therapy to treat Ventricular Fibrillation (V F) is aggressive (electric shock), the lack of a proper detection and recovering therapy could cause serious injuries to the patient or trigger a ventricular fibrillation, or even death. This work describes the development of an automatic diagnostic system for the detection of the occurrence of V F in real time by means of the time-frequency representation (T F R) image of the ECG. The main novelties are the use of the T F R image as input for a classification process, as well as the use of combined classifiers. The feature extraction stage is eliminated and, together with the use of specialized binary classifiers, …

ElectrodiagnòsticECG electrocardiogram signalsComputer science0206 medical engineeringFeature extraction02 engineering and technologycombined classification algorithmslcsh:TechnologyImage (mathematics)lcsh:ChemistryTime–frequency representationimage analysisvoting majority method classifiersnon-stationary signalstime-frequency representation0202 electrical engineering electronic engineering information engineeringmedicineGeneral Materials ScienceInstrumentationlcsh:QH301-705.5Fluid Flow and Transfer Processesbusiness.industrybiomedical systemslcsh:TProcess Chemistry and TechnologyGeneral EngineeringPattern recognitionmedicine.disease020601 biomedical engineeringlcsh:QC1-999Computer Science ApplicationsTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESlcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040Ventricular fibrillationEnginyeria biomèdica020201 artificial intelligence & image processingArtificial intelligencebusinesslcsh:Engineering (General). Civil engineering (General)hierarchical classifiersImatges Processament Tècniques digitalslcsh:PhysicsApplied Sciences
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Real-Time Localization of Epileptogenic Foci EEG Signals: An FPGA-Based Implementation

2020

The epileptogenic focus is a brain area that may be surgically removed to control of epileptic seizures. Locating it is an essential and crucial step prior to the surgical treatment. However, given the difficulty of determining the localization of this brain region responsible of the initial seizure discharge, many works have proposed machine learning methods for the automatic classification of focal and non-focal electroencephalographic (EEG) signals. These works use automatic classification as an analysis tool for helping neurosurgeons to identify focal areas off-line, out of surgery, during the processing of the huge amount of information collected during several days of patient monitori…

ElectrodiagnòsticRemote patient monitoringComputer science02 engineering and technologyElectroencephalographylcsh:Technologylcsh:Chemistryepileptogenic focus03 medical and health sciences0302 clinical medicineClassifier (linguistics)0202 electrical engineering electronic engineering information engineeringmedicineGeneral Materials ScienceEpilepsy surgeryLatency (engineering)Field-programmable gate arrayInstrumentationThroughput (business)lcsh:QH301-705.5FPGAFluid Flow and Transfer Processesmedicine.diagnostic_testbusiness.industrylcsh:TProcess Chemistry and Technologyreal-time implementationepileptic eeg signal classificationGeneral EngineeringProcess (computing)Pattern recognitionelectroencephalogramlcsh:QC1-999Computer Science Applicationsfpgalcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040epileptic EEG signal classificationepilepsy020201 artificial intelligence & image processingEnginyeria biomèdicaArtificial intelligenceElectroencefalografiabusinesslcsh:Engineering (General). Civil engineering (General)030217 neurology & neurosurgerylcsh:Physics
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