Search results for "modeling"

showing 10 items of 4489 documents

Elaboration de matériaux à gradient de propriétés fonctionnelles pour les composants face au plasma des machines de fusion thermonucléaires

2014

The objective of this study was to develop a Functionally Graded Material (FGM) W / Cu to replace the compliance layer (Cu-OFHC) in the plasma facing components of thermonuclear fusion reactor like ITER. The peculiarity of this work is to elaborate these materials without exceeding the melting temperature of copper in order to control its microstructure. The co-sintering is the most attractive solution to achieve this goal.The first phase of this study has been to decrease the sintering temperature of the tungsten to achieve this co-sintering. The elaboration of a Functionally Graded Materials being delicate, thermo-mechanical calculations were performed in order to determine the number and…

[ PHYS.PHYS.PHYS-CHEM-PH ] Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph]Métallurgie des poudresLoi des mélangesTungstèneCuivre[PHYS.PHYS.PHYS-CHEM-PH]Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph]Finite Element ModelingPlasma facing componentsFusion thermonucléaire[PHYS.PHYS.PHYS-CHEM-PH] Physics [physics]/Physics [physics]/Chemical Physics [physics.chem-ph]Composants Face au PlasmaMatériaux à Gradient de propriétés FonctionnellesSpark Plasma Sintering
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Interconnectivity of habitats in soil: combining X-ray micro tomography and thin sectioning to reveal fungal-soil structure interactions

2007

International audience; The extreme heterogeneity and interconnectivity of the 3-dimensional pore space within soil makes it a unique habitat for the diverse microbial population and has a pivotal role in microbial interactions. Manipulation and quantification of the 3-dimensional pore space and the spatial distribution of micro-organisms is therefore essential if we are to fully understand microbial interactions. Here we pack soil microcosms at different bulk-densities to manipulate soil structure and use x-ray micro tomography and soil thin sections to analyse the effect on the connectivity of the pore volume and on fungal exploration.

[ SDE ] Environmental Sciences[SDE] Environmental Sciences[ INFO.INFO-MO ] Computer Science [cs]/Modeling and Simulation[SDE]Environmental Sciences[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
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Using Global Radiation Model to Simulate Surface Temperature Impact on Snow Melt - Loven Glacier – Spitsberg

2009

International audience

[ SDE.MCG ] Environmental Sciences/Global Changes[ INFO.INFO-MO ] Computer Science [cs]/Modeling and Simulation[SDE.MCG] Environmental Sciences/Global Changes[MATH.MATH-MP]Mathematics [math]/Mathematical Physics [math-ph][SDE.MCG]Environmental Sciences/Global Changes[ MATH.MATH-MP ] Mathematics [math]/Mathematical Physics [math-ph][SDU.STU] Sciences of the Universe [physics]/Earth Sciences[SDU.STU]Sciences of the Universe [physics]/Earth Sciences[ SDU.STU ] Sciences of the Universe [physics]/Earth Sciences[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation[MATH.MATH-MP] Mathematics [math]/Mathematical Physics [math-ph][INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationComputingMilieux_MISCELLANEOUS
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A new invariant-based method for building biomechanical behavior laws - Application to an anisotropic hyperelastic material with two fiber families

2013

Abstract In this article, we present a general constructive and original approach that allows us to calculate the invariants associated with an anisotropic hyperelastic material made of two families of collagen fibers. This approach is based on mathematical techniques from the theory of invariants: • Definition of the material symmetry group. • Analytical calculation of a set of generators using the Noether’s theorem. • Analytical calculation of an integrity basis. • Comparison between the proposed invariants and the classical ones.

[ SPI.MAT ] Engineering Sciences [physics]/Materials02 engineering and technologyTheory of invariantsConstructiveAnisotropic hyperelastic material[SPI.MAT]Engineering Sciences [physics]/Materialssymbols.namesake0203 mechanical engineeringMaterials Science(all)Modelling and SimulationGeneral Materials ScienceBiomechanicsInvariant (mathematics)AnisotropyMaterial symmetryMathematicsMechanical EngineeringApplied MathematicsMathematical analysis021001 nanoscience & nanotechnologyCondensed Matter Physics020303 mechanical engineering & transportsMechanics of MaterialsModeling and SimulationHyperelastic materialsymbolsNoether's theorem0210 nano-technology
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A physical-based constitutive model for surface integrity prediction in machining of OFHC copper

2017

International audience; Due to the rising interest in predicting machined surface integrity and sustainability, various models for metal cutting simulation have been developed. However, their accuracy depends deeply on the physical description of the machining process. This study aims to develop an orthogonal cutting model for surface integrity prediction, which includes a physical-based constitutive model of Oxygen Free High Conductivity (OFHC) copper. This constitutive model incorporates the effects of the state of stress and microstructure on the work material behavior, as well as a dislocation density-based model for surface integrity prediction. The coefficients of the constitutive mod…

[ SPI.MECA.GEME ] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]0209 industrial biotechnologyWork (thermodynamics)Materials scienceMatériaux [Sciences de l'ingénieur][ SPI.MECA ] Engineering Sciences [physics]/Mechanics [physics.med-ph]Constitutive equation[ SPI.MAT ] Engineering Sciences [physics]/Materials02 engineering and technologyIndustrial and Manufacturing Engineering[SPI.MAT]Engineering Sciences [physics]/MaterialsStress (mechanics)modelling020901 industrial engineering & automationMécanique: Génie mécanique [Sciences de l'ingénieur]MachiningResidual stress[SPI.MECA.MEMA]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanics of materials [physics.class-ph]Mécanique: Mécanique des matériaux [Sciences de l'ingénieur]business.industryMécanique [Sciences de l'ingénieur]OHFC copperMetals and AlloysStructural engineeringConstitutive model[SPI.MECA]Engineering Sciences [physics]/Mechanics [physics.med-ph]021001 nanoscience & nanotechnologysurface integrityFinite element methodComputer Science Applications[SPI.MECA.GEME]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]Modeling and Simulation[ SPI.MECA.MEMA ] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanics of materials [physics.class-ph]Ceramics and Compositesorthogonal cuttingDislocation0210 nano-technologybusinessSurface integrity
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An alternative space-time meshless method for solving transient heat transfer problems with high discontinuous moving sources

2016

International audience; The aim of this work is the development of a space-time diffuse approximation meshless method (DAM) to solve heat equations containing discontinuous sources. This work is devoted to transient heat transfer problems with static and moving heat sources applied on a metallic plate and whose power presents temporal discontinuities. The space-time DAM using classical weight function is convenient for continuous transient heat transfer. Nevertheless, for problems including discontinuities, some spurious oscillations for the temperature field occur. A new weight function, respecting the principle of causality, is used to eradicate the physically unexpected oscillations.

[ SPI.MECA.GEME ] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]Work (thermodynamics)Weight functionField (physics)finite element method02 engineering and technologyClassification of discontinuitieselasto-dynamic problems01 natural sciences[SPI]Engineering Sciences [physics]0203 mechanical engineering[ SPI ] Engineering Sciences [physics]free galerkin methodrefinement0101 mathematicsconvectionMathematicsNumerical AnalysisSpace timeMechanicsCondensed Matter Physics[ SPI.MECA.THER ] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Thermics [physics.class-ph][SPI.MECA.GEME]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]Computer Science ApplicationsPower (physics)010101 applied mathematics020303 mechanical engineering & transportsClassical mechanicsMechanics of MaterialsModeling and Simulation[SPI.MECA.THER]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Thermics [physics.class-ph]Heat equationDevelopment (differential geometry)
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An experimental and modelling study of the oxidation of 3-pentanol at high pressure

2018

International audience; High pressure oxidation of 3-pentanol is investigated in a jet-stirred reactor and in a shock tube. Experiments in the reactor were carried out at 10 atm, between 730 and 1180 K, for equivalence ratios of 0.35, 0.5, 1, 2, 4 and 1000 ppm fuel, at a constant residence time of 0.7 s. Reactant, product and intermediate species mole fractions were recorded using Fourier transform infrared spectroscopy (FTIR) and gas chromatography (GC). Ignition delay times were measured for 3-pentanol/O2 mixtures in argon in a shock tube at 20 and 40 bar, in a temperature range of 1000–1470 K and for equivalence ratios of 0.5, 1 and 2. The fuel did not show any low-temperature reactivity…

[CHIM.THEO]Chemical Sciences/Theoretical and/or physical chemistryKinetics[SPI]Engineering Sciences [physics][CHIM.THEO] Chemical Sciences/Theoretical and/or physical chemistrypentanoljet-stirred reactor[SPI.FLUID]Engineering Sciences [physics]/Reactive fluid environmentignitionShock tube[SPI.FLUID] Engineering Sciences [physics]/Reactive fluid environment3-pentanolkinetic modeling
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A Neural Network Meta-Model and its Application for Manufacturing

2015

International audience; Manufacturing generates a vast amount of data both from operations and simulation. Extracting appropriate information from this data can provide insights to increase a manufacturer's competitive advantage through improved sustainability, productivity, and flexibility of their operations. Manufacturers, as well as other industries, have successfully applied a promising statistical learning technique, called neural networks (NNs), to extract meaningful information from large data sets, so called big data. However, the application of NN to manufacturing problems remains limited because it involves the specialized skills of a data scientist. This paper introduces an appr…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]0209 industrial biotechnology[SPI] Engineering Sciences [physics]Computer scienceneural networkBig dataContext (language use)02 engineering and technologycomputer.software_genreMachine learningCompetitive advantageData modeling[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI][SPI]Engineering Sciences [physics]020901 industrial engineering & automationPMML0202 electrical engineering electronic engineering information engineering[ SPI ] Engineering Sciences [physics][ INFO.INFO-AI ] Computer Science [cs]/Artificial Intelligence [cs.AI]data analyticsArtificial neural networkbusiness.industrymeta-modelMetamodelingmanufacturingAnalyticsSustainabilityPredictive Model Markup LanguageData analysis020201 artificial intelligence & image processingData miningArtificial intelligencebusinesscomputer
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A spatially explicit model to simulate soil microbial communities’ dynamics at an agricultural landscape scale

2021

Soil microorganisms play a major role in soil functions and are an efficient indicator to evaluate the impact of agricultural practices on soil quality. Biogeographical studies over wide scales ranging from landscape to countries have concluded that soil microbial abundance and soil prokaryotic richness is following a heterogeneous distribution in space under the dependence of soil properties (e.g. pH, soil texture, organic matter content) and agricultural practices. The goal of this study is the creation of a model that can predict dynamics of soil microbial communities depending on the agricultural management over time. For this, we focus on a monitored landscape (Fénay landscape, 1.200 h…

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]Agent-based modelAgricultural landscapeParticipatory[INFO.INFO-MA] Computer Science [cs]/Multiagent Systems [cs.MA][INFO.INFO-MO] Computer Science [cs]/Modeling and SimulationSoil microbial communities
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Artificial Potential Field Simulation Framework for Semi-Autonomous Car Conception

2017

International audience; Artificial potential field is investigated to provide a high level of synergy between driver and semi-autonomous vehicle. This article presents a framework developed to test the performances of this approach. Stand-alone performances of this system is tested for a lane keeping and cruise control application. Performances are promising and future development is discussed.

[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]Synthèse d'image et réalité virtuelle [Informatique][INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR]Modélisation et simulation [Informatique]Autonomous car[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR][INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Intelligence artificielle [Informatique]Interface homme-machine [Informatique]Human-machine interface[INFO.INFO-MO] Computer Science [cs]/Modeling and SimulationArtificial potential field[INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC][INFO.INFO-HC] Computer Science [cs]/Human-Computer Interaction [cs.HC]Simulation
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