Search results for "flow [Keywords]"

showing 10 items of 469 documents

On the possibility of synthesizing multilayered coatings in the (Ti,Al)N system by RGPP: A microstructural study

2019

International audience; Radiofrequency magnetron sputtering combined with reactive gas pulsing process was used to synthesize two titanium aluminum nitride multilayer films using a periodically controlled nitrogen flow rate changing from 0.4 to 1 sccm (sample S04-1) and from 0 to 1 sccm (sample S0-1). A metallic TiAl buffer layer was deposited on the etched substrates before the deposition to enhance their adhesion. The films were characterized using mainly transmission electron microscopy and electron diffraction. The role of the crystallinity of the buffer TiAl metallic layer deposited before gas introduction on the growth orientations is emphasized. It is shown that the formation of a mu…

Materials scienceThin films(Ti-Al-N) systemchemistry.chemical_element02 engineering and technologyNitride01 natural sciences[SPI.MAT]Engineering Sciences [physics]/Materials0103 physical sciencesMaterials ChemistryComposite material[SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/MicroelectronicsMicrostructure010302 applied physics[SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph]Surfaces and InterfacesGeneral ChemistrySputter deposition021001 nanoscience & nanotechnologyCondensed Matter PhysicsMicrostructureSurfaces Coatings and FilmsVolumetric flow ratechemistryElectron diffractionMultilayersTransmission electron microscopyTEM0210 nano-technologyLayer (electronics)Titanium
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Performance analysis of single cell solid oxide fuel cells

2017

Solid oxide fuel cells (SOFCs) are a class of fuel cells operating on high temperatures which have the potential to become one of the efficient and cost effective system for direct conversion of a wide variety of fuels to electricity. For proper operation of SOFCs, evaluation of cell stability and optimization of fuel utilization is of paramount importance. In this paper, we have performed experiments to obtain current-voltage (I–V) characteristics by using three different Hydrogen (H 2 ) flow rates(100 ml/min, 150 ml/min and 200 ml/min). Furthermore, we perform oxidation and reduction (redox) cycles to determine how many redox cycles a SOFC can withstand without cracking the cell which we …

Materials scienceWaste managementHydrogen020209 energyOxidechemistry.chemical_element02 engineering and technologyDirect-ethanol fuel cellRedoxCathodelaw.inventionVolumetric flow rateAnodechemistry.chemical_compoundElectricity generationchemistryChemical engineeringlaw0202 electrical engineering electronic engineering information engineering2017 Moratuwa Engineering Research Conference (MERCon)
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Incremental heuristic approach for meter placement in radial distribution systems

2019

The evolution of modern power distribution systems into smart grids requires the development of dedicated state estimation (SE) algorithms for real-time identification of the overall system state variables. This paper proposes a strategy to evaluate the minimum number and best position of power injection meters in radial distribution systems for SE purposes. Measurement points are identified with the aim of reducing uncertainty in branch power flow estimations. An incremental heuristic meter placement (IHMP) approach is proposed to select the locations and total number of power measurements. The meter placement procedure was implemented for a backward/forward load flow algorithm proposed by…

Mathematical optimizationControl and OptimizationComputer scienceHeuristic (computer science)020209 energyOptimal meter placementEnergy Engineering and Power Technology02 engineering and technologySmart gridlcsh:Technology0202 electrical engineering electronic engineering information engineeringMetrePower-flow studyInstrumentation (computer programming)Electrical and Electronic EngineeringEngineering (miscellaneous)optimal meter placement; smart grid; load flow analysis; Monte Carlo methodsRenewable Energy Sustainability and the Environmentlcsh:T020208 electrical & electronic engineeringMonte Carlo methodsLoad flow analysisPower (physics)Monte Carlo methodSmart gridLoad flow analysiSettore ING-INF/07 - Misure Elettriche E ElettronicheEnergy (miscellaneous)
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Some improvements in solving radial distributions networks through the backward/forward method

2005

In the electrical radial distribution networks analysis, the backward/forward method shows good features in terms of robustness, independence from load nature, small use of hardware resources and limited calculation time. In the present paper, some procedures to improve the b/f method with the aim of reducing the calculation time are presented. The adopted procedures regard the choice of the initial values of the nodes voltages and the way in which the convergence criterion is applied. The results of some tests carried out on some electrical test systems here reported have shown the efficiency of the proposed methodology in terms of calculation time reduction, especially when solving heavil…

Mathematical optimizationEngineeringbusiness.industrySystem testingAC powerAutomationlaw.inventionSettore ING-IND/33 - Sistemi Elettrici Per L'Energiasymbols.namesakeCapacitorlawRobustness (computer science)symbolsPower-flow studybusinessBackward/forward method Load flow analysis Power DistributionNewton's methodVoltage2005 IEEE Russia Power Tech
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Reference point based multi-objective evolutionary algorithms for group decisions

2008

While in the past decades research on multi-objective evolutionary algorithms (MOEA) has aimed at finding the whole set of Pareto optimal solutions, current approaches focus on only those parts of the Pareto front which satisfy the preferences of the decision maker (DM). Therefore, they integrate the DM early on in the optimization process instead of leaving him/her alone with the final choice of one solution among the whole Pareto optimal set. In this paper, we address an aspect which has been neglected so far in the research on integrating preferences: in most real-world problems, there is not only one DM, but a group of DMs trying to find one consensus decision all participants are wille…

Mathematical optimizationProcess (engineering)Evolutionary algorithmA priori and a posterioriBayesian efficiencyFlow shop schedulingFocus (optics)Set (psychology)Multi-objective optimizationMathematics
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Methods cooperation for multiresolution motion estimation

2002

For a medical application, we are interested in an estimation of optical flow on a patient's face, particularly around the eyes. Among the methods of optical flow estimation, gradient estimation and block matching are the main methods. However, the gradient-based approach can only be applied for small displacements (one or two pixels). Gener- ally, the process of block matching leads to good results only if the searching strategy is judiciously selected. Our approach is based on a Markov random field model, combined with an algorithm of block match- ing in a multiresolution scheme. The multiresolution approach allows de- tection of a large range of speeds. The large displacements are detect…

Mathematical optimizationRandom fieldMarkov random fieldMarkov chainComputer scienceGeneral EngineeringOptical flowInitializationMotion detectionImage processingAtomic and Molecular Physics and OpticsOptical flow estimationMotion estimationImage resolutionAlgorithmBlock (data storage)Block-matching algorithmOptical Engineering
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Parallel Simulated Annealing: Getting Super Linear Speedups

2005

The study described in this paper tries to improve and combine different approaches that are able to speed up applications of the Simulated Annealing model. It investigates separately two main aspects concerning the degree of parallelism an implementation can egectively exploit at the initial andfinal periods of an execution. As for case studies, it deals with two implementations: the Job shop Scheduling problem and the poryblio selection problem. The paper reports the results of a large number of experiments, carried out by means of a transputer network and a hypercube system. They give useful suggestions about selecting the most suitable values of the intervention parameters to achieve su…

Mathematical optimizationSpeedupComputational complexity theoryJob shop schedulingParallel processing (DSP implementation)Computer scienceSimulated annealingDegree of parallelismFlow shop schedulingParallel computingHypercubeProceedings. Second Euromicro Workshop on Parallel and Distributed Processing
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Representation of capacity drop at a road merge via point constraints in a first order traffic model

2018

We reproduce the capacity drop phenomenon at a road merge by implementing a non-local point constraint at the junction in a first order traffic model. We call capacity drop the situation in which the outflow through the junction is lower than the receiving capacity of the outgoing road, as too many vehicles trying to access the junction from the incoming roads hinder each other. In this paper, we first construct an enhanced version of the locally constrained model introduced by Haut et al. (Proceedings 16th IFAC World Congress. Prague, Czech Republic 229 (2005) TuM01TP/3), then we propose its counterpart featuring a non-local constraint and finally we compare numerically the two models by c…

Mathematical optimizationTraffic model010103 numerical & computational mathematics01 natural sciencesScalar conservation law; LWR model; traffic flow on networks; point constraint on the flux; finite volumes schemesNOfinite volumes schemes[MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP]point constraint on the flux0101 mathematics[MATH]Mathematics [math]Scalar conservation lawMathematicsLWR modelNumerical AnalysisApplied MathematicsFirst order010101 applied mathematicsFinite volumes schemes; LWR model; Point constraint on the flux; Scalar conservation law; Traffic flow on networksComputational MathematicsModeling and Simulationtraffic flow on networksOutflowfinite volumes schemeMerge (version control)Analysis
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Prediction models to analyse the performance of a commercial-scale membrane distillation unit for desalting brines from RO plants

2018

Abstract Desalting brines from Reverse Osmosis (RO) plants is one of the most promising applications of Membrane Distillation (MD) systems. The development of accurate models to predict MD system performances plays a significant role in the design of this kind of industrial applications. In this paper, a commercial-scale Permeate-Gap Membrane Distillation (PGMD) module was modelled by means of two different approaches: Response Surface Methodology (RSM) and Artificial Neural Networks (ANN). Condenser inlet temperature, evaporator inlet temperature, feed flow rate and feed water salt concentration were selected as inputs of the model, while permeate flux and Specific Thermal Energy Consumpti…

Mean squared errorbusiness.industryMechanical EngineeringGeneral Chemical EngineeringEvaporator (marine)02 engineering and technologyGeneral Chemistry021001 nanoscience & nanotechnologyMembrane distillationVolumetric flow rate020401 chemical engineeringEnvironmental scienceGeneral Materials ScienceResponse surface methodology0204 chemical engineering0210 nano-technologybusinessProcess engineeringReverse osmosisCondenser (heat transfer)Thermal energyWater Science and TechnologyDesalination
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Non-invasive mechanical ventilation and high-flow oxygen therapy in the COVID-19 pandemic: the value of a draw

2021

Mechanical ventilationmedicine.medical_specialty2019-20 coronavirus outbreakCoronavirus disease 2019 (COVID-19)business.industrymedicine.medical_treatmentSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Non invasiveHigh flow oxygenPandemicMedicineNoninvasive ventilationbusinessIntensive care medicineLetter to the EditorMedicina Intensiva (English Edition)
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