Search results for "Casting"

showing 10 items of 500 documents

EBSD, XRD and SRS characterization of a casting Al-7wt%Si alloy processed by equal channel angular extrusion: Dislocation density evaluation

2019

Abstract Aluminum‑silicon (Al Si) alloys of high silicon contents are composite materials; they are used whenever high casting properties are required. They are slightly ductile below 8wt%Si. An increase in ductility can be obtained by refining Si-crystals in elaboration or by a further hot working. In the present work, an Al-7wt%Si alloy was processed by Equal Channel Angular Extrusion (ECAE) at temperatures 20 °C and 160 °C up to three passes. The die was formed by two cylindrical channels with characteristic angles Φ = 110° and Ψ = 0. EBSD, X ray diffraction (XRD) and Strain Rate Sensitivity (SRS) were used to characterize the microstructure and the mechanical properties. High levels of …

010302 applied physicsMaterials scienceEqual channel angular extrusionMechanical Engineering02 engineering and technologyStrain rate021001 nanoscience & nanotechnologyCondensed Matter PhysicsMicrostructure01 natural sciencesCastingHot workingMechanics of Materials0103 physical sciencesGeneral Materials ScienceComposite materialDislocation0210 nano-technologyDuctilityElectron backscatter diffractionMaterials Characterization
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Casting technology for ODS steels – dispersion of nanoparticles in liquid metals

2017

Dispersion of particles to produce metal matrix nanocomposites (MMNC) can be achieved by means of ultrasonic vibration of the melt using ultrasound transducers. However, a direct transfer of this method to produce steel composites is not feasible because of the much higher working temperature. Therefore, an inductive technology for contactless treatment by acoustic cavitation was developed. This report describes the samples produced to assess the feasibility of the proposed method for nano-particle separation in steel. Stainless steel samples with inclusions of TiB2, TiO2, Y2O3, CeO2, Al2O3 and TiN have been created and analyzed. Additional experiments have been performed using light metals…

010302 applied physicsNanocompositeMaterials scienceMetallurgychemistry.chemical_elementNanoparticleField strength02 engineering and technologySuperconducting magnet021001 nanoscience & nanotechnology01 natural scienceschemistryCasting (metalworking)Cavitation0103 physical sciences0210 nano-technologyTinDispersion (chemistry)IOP Conference Series: Materials Science and Engineering
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2019

Abstract. This study uses the synergy of multi-resolution soil moisture (SM) satellite estimates from the Soil Moisture Ocean Salinity (SMOS) mission, a dense network of ground-based SM measurements, and a soil–vegetation–atmosphere transfer (SVAT) model, SURFEX (externalized surface), module ISBA (interactions between soil, biosphere and atmosphere), to examine the benefits of the SMOS level 4 (SMOS-L4) version 3.0, or “all weather” high-resolution soil moisture disaggregated product (SMOS-L43.0; ∼1 km). The added value compared to SMOS level 3 (SMOS-L3; ∼25 km) and SMOS level 2 (SMOS-L2; ∼15 km) is investigated. In situ SM observations over the Valencia anchor station (VAS; SMOS calibrati…

010504 meteorology & atmospheric sciences0208 environmental biotechnologyFlood forecastingInitializationBiosphere02 engineering and technologyVegetation01 natural sciences020801 environmental engineeringClimatologySpatial ecologyEnvironmental scienceSatelliteSpatial variabilityWater content0105 earth and related environmental sciencesHydrology and Earth System Sciences
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Potential impacts of a future Nordic bioeconomy on surface water quality

2020

AbstractNordic water bodies face multiple stressors due to human activities, generating diffuse loading and climate change. The ‘green shift’ towards a bio-based economy poses new demands and increased pressure on the environment. Bioeconomy-related pressures consist primarily of more intensive land management to maximise production of biomass. These activities can add considerable nutrient and sediment loads to receiving waters, posing a threat to ecosystem services and good ecological status of surface waters. The potential threats of climate change and the ‘green shift’ highlight the need for improved understanding of catchment-scale water and element fluxes. Here, we assess possible bio…

010504 meteorology & atmospheric sciencesClimate ChangeVDP::Landbruks- og Fiskerifag: 900::Landbruksfag: 910Geography Planning and DevelopmentLand managementClimate changemaankäyttö010501 environmental sciences01 natural sciencesEnvironmental Effects of a Green Bio-EconomyEcosystem servicesVDP::Matematikk og Naturvitenskap: 400::Zoologiske og botaniske fag: 480::Økologi: 488Environmental ChemistryProduction (economics)Humans14. Life underwaterVDP::Landbruks- og Fiskerifag: 900::Fiskerifag: 920Ecosystem0105 earth and related environmental sciences2. Zero hungerBiomass (ecology)EcologyLand usebusiness.industryEnvironmental resource managementSurface waterGeneral Medicine15. Life on landModels TheoreticalvedenlaatuBioeconomy6. Clean waterWater qualitypintavesi13. Climate actionLand useEnvironmental scienceWater qualitybusinessbiotalousSurface waterForecasting
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Statistical retrieval of atmospheric profiles with deep convolutional neural networks

2019

Abstract Infrared atmospheric sounders, such as IASI, provide an unprecedented source of information for atmosphere monitoring and weather forecasting. Sensors provide rich spectral information that allows retrieval of temperature and moisture profiles. From a statistical point of view, the challenge is immense: on the one hand, “underdetermination” is common place as regression needs to work on high dimensional input and output spaces; on the other hand, redundancy is present in all dimensions (spatial, spectral and temporal). On top of this, several noise sources are encountered in the data. In this paper, we present for the first time the use of convolutional neural networks for the retr…

010504 meteorology & atmospheric sciencesComputer science0211 other engineering and technologiesWeather forecasting02 engineering and technologycomputer.software_genreAtmospheric measurements01 natural sciencesConvolutional neural networkLinear regressionRedundancy (engineering)Information retrievalInfrared measurementsComputers in Earth SciencesEngineering (miscellaneous)021101 geological & geomatics engineering0105 earth and related environmental sciencesArtificial neural networkbusiness.industryDeep learningDimensionality reductionPattern recognitionAtomic and Molecular Physics and OpticsComputer Science Applications13. Climate actionNoise (video)Artificial intelligencebusinesscomputerNeural networksISPRS Journal of Photogrammetry and Remote Sensing
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The Making of the New European Wind Atlas - Part 2: production and evaluation

2020

This is the second of two papers that document the creation of the New European Wind Atlas (NEWA). In Part 1, we described the sensitivity experiments and accompanying evaluation done to arrive at the final mesoscale model setup used to produce the mesoscale wind atlas. In this paper, Part 2, we document how we made the final wind atlas product, covering both the production of the mesoscale climatology generated with the Weather Research and Forecasting (WRF) model and the microscale climatology generated with the Wind Atlas Analysis and Applications Program (WAsP). The paper includes a detailed description of the technical and practical aspects that went into running the mesoscale simulati…

010504 meteorology & atmospheric sciencesMeteorology020209 energyMesoscale meteorologyTerrainParameterization02 engineering and technology01 natural sciencesWind speedWind speed0202 electrical engineering electronic engineering information engineeringWind atlasData flow modelSurface wind0105 earth and related environmental sciences:Enginyeria agroalimentària::Ciències de la terra i de la vida::Climatologia i meteorologia [Àrees temàtiques de la UPC]lcsh:QE1-996.5Física atmosféricalcsh:GeologyWeather Research and Forecasting ModelEnvironmental scienceNew European Wind AtlasSimulacio per ordinadorComputational methods in engineeringDownscalingModel
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The making of the New European Wind Atlas - Part 1: Model sensitivity

2020

This is the first of two papers that document the creation of the New European Wind Atlas (NEWA). It describes the sensitivity analysis and evaluation procedures that formed the basis for choosing the final setup of the mesoscale model simulations of the wind atlas. The suitable combination of model setup and parameterizations, bound by practical constraints, was found for simulating the climatology of the wind field at turbine-relevant heights with the Weather Research and Forecasting (WRF) model. Initial WRF model sensitivity experiments compared the wind climate generated by using two commonly used planetary boundary layer schemes and were carried out over several regions in Europe. They…

010504 meteorology & atmospheric sciencesMeteorologyPlanetary boundary layer010505 oceanography020209 energylcsh:QE1-996.5Mesoscale meteorologyFísica atmosférica02 engineering and technology01 natural sciences7. Clean energyWind speedlcsh:GeologyBoundary layerRoughness length/dk/atira/pure/sustainabledevelopmentgoals/climate_action13. Climate actionWeather Research and Forecasting ModelWind resource assessmentWind atlasSDG 13 - Climate Action0202 electrical engineering electronic engineering information engineeringEnvironmental science0105 earth and related environmental sciences
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A process-based anatomy of Mediterranean cyclones: from baroclinic lows to tropical-like systems

2021

Abstract. In this study, we address the question of the atmospheric processes that turn Mediterranean cyclones into severe storms. Our approach applies on-line potential vorticity (PV) budget diagnostics and piecewise PV inversion to WRF model simulations of the mature stage of 100 intense Mediterranean cyclones. We quantify the relative contributions of different processes to cyclone development and therefore deliver, for the first time, a comprehensive insight into the variety of cyclonic systems that develop in the Mediterranean from the perspective of cyclone dynamics. In particular, we show that all 100 cyclones are systematically influenced by two main PV anomalies: a major anomaly in…

010504 meteorology & atmospheric sciencesRadiative coolingSevere weatherBaroclinity0208 environmental biotechnologyDiabatic02 engineering and technology01 natural sciences020801 environmental engineeringTroposphere13. Climate actionMeteorology. ClimatologyClimatologyLatent heatWeather Research and Forecasting ModelCycloneEnvironmental scienceQC851-9990105 earth and related environmental sciencesWeather and Climate Dynamics
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Global-Scale Evaluation of Roughness Effects on C-Band AMSR-E Observations

2015

Quantifying roughness effects on ground surface emissivity is an important step in obtaining high-quality soil moisture products from large-scale passive microwave sensors. In this study, we used a semi-empirical method to evaluate roughness effects (parameterized here by the parameter) on a global scale from AMSR-E (Advanced Microwave Scanning Radiometer for EOS) observations. AMSR-E brightness temperatures at 6.9 GHz obtained from January 2009 to September 2011, together with estimations of soil moisture from the SMOS (Soil Moisture and Ocean Salinity) L3 products and of soil temperature from ECMWF’s (European Centre for Medium-range Weather Forecasting) were used as inputs in a retrieval…

010504 meteorology & atmospheric sciencestélédétectionScience0211 other engineering and technologiesWeather forecasting[SDU.STU]Sciences of the Universe [physics]/Earth SciencesElectromagnétismesoil surface roughness02 engineering and technologySurface finishcomputer.software_genredonnée satellite01 natural sciencesSciences de la TerreNormalized Difference Vegetation Indexsoil moisture;soil surface roughness;AMSR-EElectromagnetismEmissivitySurface roughnessTraitement du signal et de l'image14. Life underwaterWater content021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRadiometercapteur smosQSignal and Image processingradiométrie microondesVegetationAMSR-E15. Life on land[SPI.ELEC]Engineering Sciences [physics]/ElectromagnetismEarth SciencesGeneral Earth and Planetary SciencesEnvironmental sciencesoil moisturecomputer[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingRemote Sensing
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Predicted temperature-increase-induced global health burden and its regional variability

2019

An increase in the global health burden of temperature was projected for 459 locations in 28 countries worldwide under four representative concentration pathway scenarios until 2099. We determined that the amount of temperature increase for each 100 ppm increase in global CO2 concentrations is nearly constant, regardless of climate scenarios. The overall average temperature increase during 2010–2099 is largest in Canada (1.16 °C/100 ppm) and Finland (1.14 °C/100 ppm), while it is smallest in Ireland (0.62 °C/100 ppm) and Argentina (0.63 °C/100 ppm). In addition, for each 1 °C temperature increase, the amount of excess mortality is increased largely in tropical countries such as Vietnam (10.…

010504 meteorology & atmospheric sciencesvulnerabilityVulnerabilityHot temperatureprojection010501 environmental sciencesGlobal Health01 natural sciencesGlobal WarmingRegional variationHot TemperatureAnimal scienceElderly populationPhysical Sciences and MathematicsGlobal healthHumansClimate changeProjectionMortalitylcsh:Environmental sciences0105 earth and related environmental sciencesGeneral Environmental Sciencelcsh:GE1-350Excess mortalityTemperatureregional variationPublic Health Global Health Social Medicine and EpidemiologyAtmospheric temperature rangemortality3. Good healthFolkhälsovetenskap global hälsa socialmedicin och epidemiologiclimate changeRegional variationAvaliação do Impacte em Saúde13. Climate actionEnvironmental scienceDeterminantes da Saúde e da DoençaForecasting
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