Search results for "Cer"

showing 10 items of 24496 documents

Weld quality prediction in linear friction welding of AA6082-T6 through an integrated numerical tool

2016

Abstract A numerical and an experimental campaign were carried out with varying oscillation frequency and interface pressure. The local values of the main field variables at the contact interface between the specimens were predicted by a Lagrangian, implicit, thermo-mechanical FEM model and used as input of a dedicated Neural Network (NN). The NN, integrated in the FEM environment, was designed in order to calculate both a Boolean output, indicating the occurrence of welding, and a continuous output, indicating the quality of the obtained solid state weld. The analysis of the obtained results allowed three different levels of bonding quality, i.e., no weld, sound weld and excess of heat, to…

0209 industrial biotechnologyEngineeringAluminum alloyField (physics)Interface (computing)Neural Network02 engineering and technologyWeldingIndustrial and Manufacturing Engineeringlaw.invention020901 industrial engineering & automationQuality (physics)lawFriction weldingSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneFEMArtificial neural networkbusiness.industryOscillationMetals and AlloysStructural engineering021001 nanoscience & nanotechnologyFinite element methodComputer Science ApplicationsModeling and SimulationCeramics and CompositesLinear Friction Welding0210 nano-technologybusiness
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Learning of Cooperative Behaviour in Robot Populations

2016

This paper addresses convergence and equilibrium properties of game theoretic learning algorithms in robot populations using simple and broadly applicable reward/cost models of cooperation between robotic agents. New models for robot cooperation are proposed by combining regret based learning methods and network evolution models. Results of mean-field game theory are employed in order to show the asymptotic second moment boundedness in the variation of cooperative behaviour. The behaviour of the proposed models are tested in simulation results, which are based on sample networks and a single lane traffic flow case study.

0209 industrial biotechnologyEngineeringbusiness.industryRegretSample (statistics)02 engineering and technologyVariation (game tree)Traffic flowRobot kinematics Automobiles Service robots Convergence Games020901 industrial engineering & automationSettore ING-INF/04 - AutomaticaSimple (abstract algebra)Convergence (routing)0202 electrical engineering electronic engineering information engineeringRobot020201 artificial intelligence & image processingArtificial intelligenceSettore MAT/09 - Ricerca OperativabusinessGame theory
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Influence of friction stir processing conditions on the manufacturing of Al-Mg-Zn-Cu alloy/boron carbide surface composite

2018

Abstract Surface metal matrix composites were synthesized via friction stir processing (FSP) on the surface of aluminium alloy 7075 (AA 7075) sheets by incorporating B4C particles (B4CP). The influence of tool rotational speeds, powder particle sizes, and change in tool travel direction between FSP passes on particle distribution and resulting properties were studied in detail. Change in tool travel direction, decreased tool rotation speed and fine B4C particles enhanced B4CP distribution and wear properties thereof. Wear resistance of composites were doubled on account of the B4CP distribution and resultant several strengthening mechanisms.

0209 industrial biotechnologyFriction stir processingMaterials scienceAlloyComposite number02 engineering and technologyBoron carbideengineering.materialIndustrial and Manufacturing EngineeringFriction stir processingchemistry.chemical_compound020901 industrial engineering & automationWearAluminium alloyAluminiumBoron carbideComposite materialSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneStrengthening mechanisms of materialsMetals and AlloysRotational speed021001 nanoscience & nanotechnologyComputer Science ApplicationsMetal matrix compositechemistryModeling and Simulationvisual_artCeramics and Compositesvisual_art.visual_art_mediumengineeringParticleMaterials processing0210 nano-technology
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K-nearest neighbor driving active contours to delineate biological tumor volumes

2019

Abstract An algorithm for tumor delineation in positron emission tomography (PET) is presented. Segmentation is achieved by a local active contour algorithm, integrated and optimized with the k-nearest neighbor (KNN) classification method, which takes advantage of the stratified k-fold cross-validation strategy. The proposed approach is evaluated considering the delineation of cancers located in different body districts (i.e. brain, head and neck, and lung), and considering different PET radioactive tracers. Data are pre-processed in order to be expressed in terms of standardized uptake value, the most widely used PET quantification index. The algorithm uses an initial, operator selected re…

0209 industrial biotechnologyK-nearest neighborComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONFDG and MET PET imagingStandardized uptake value02 engineering and technologyImaging phantomk-nearest neighbors algorithmActive contour algorithm020901 industrial engineering & automationArtificial IntelligenceRegion of interest0202 electrical engineering electronic engineering information engineeringSegmentationElectrical and Electronic EngineeringActive contour modelbusiness.industryProcess (computing)Pattern recognitionCancer segmentationBiological target volumeControl and Systems Engineering020201 artificial intelligence & image processingArtificial intelligencebusinessEnergy (signal processing)Engineering Applications of Artificial Intelligence
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Adaptation, coordination, and local interactions via distributed approachability

2017

This paper investigates the relation between cooperation, competition, and local interactions in large distributed multi-agent\ud systems. The main contribution is the game-theoretic problem formulation and solution approach based on the new framework\ud of distributed approachability, and the study of the convergence properties of the resulting game model. Approachability\ud theory is the theory of two-player repeated games with vector payoffs, and distributed approachability is here presented for\ud the first time as an extension to the case where we have a team of agents cooperating against a team of adversaries under local\ud information and interaction structure. The game model turns i…

0209 industrial biotechnologyMarkov process02 engineering and technologyApproachability01 natural sciencesTerm (time)Repeated gamesApproachabilityDifferential gamesRobust controlNetwork flow010104 statistics & probabilityNonlinear systemsymbols.namesake020901 industrial engineering & automationSettore ING-INF/04 - AutomaticaDifferential inclusionControl and Systems EngineeringConvergence (routing)symbolsRepeated gameTopological graph theorySettore MAT/09 - Ricerca Operativa0101 mathematicsElectrical and Electronic EngineeringMathematical economicsMathematicsAutomatica
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The application of the random balance method in laser machining of metals

2008

International audience; Features peculiar to laser technology offer some advantages over more traditional processes, but, like all processes, it has its limitations. This article studies the limitations of laser machining of metals, and quantifies, through an experimental design method, the influence of operating parameters on productivity and on the quality of the machined surface. Three study materials were used: an aluminium alloy, stainless steel and a titanium alloy. An initial reading of the results indicates that productivity depends mainly on the frequency of the laser pulse and that the aluminium alloy behaves differently from the other two. The quality of the machined surface, jud…

0209 industrial biotechnologyMaterials scienceAlloy[ PHYS.COND.CM-MS ] Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci]Mechanical engineering02 engineering and technologySurface finishengineering.materialIndustrial and Manufacturing Engineeringlaw.invention020901 industrial engineering & automationMachininglawAluminium alloySurface roughnessMetallurgyMetals and Alloys[CHIM.MATE]Chemical Sciences/Material chemistry021001 nanoscience & nanotechnologyLaserMachiningExperimental designComputer Science ApplicationsPulse (physics)Random balance methodMetalsModeling and Simulationvisual_artNd:YAG laser[ CHIM.MATE ] Chemical Sciences/Material chemistryCeramics and Compositesvisual_art.visual_art_mediumengineering[PHYS.COND.CM-MS]Physics [physics]/Condensed Matter [cond-mat]/Materials Science [cond-mat.mtrl-sci]Nd:YAG laser0210 nano-technology
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A numerical model for Wire integrity prediction in Friction Stir Extrusion of magnesium alloys

2017

Abstract A numerical model for the prediction of the wire quality produced by the novel direct machining chip recycling technique known as Friction Stir Extrusion (FSE) is presented. Wire microstructure and wire integrity have been predicted by embedding in the code the equations enabling the calculation of the Zener-Hollomon parameter as well as the W parameter of the Pivnik-Plata solid bonding criterion. The proposed model, developed for the AZ31 magnesium alloy using the commercial simulation package DEFORM, is 3D Lagrangian, thermo-mechanically coupled with visco-plastic material behavior. The model was first validated against experimental temperature measurements and then used to predi…

0209 industrial biotechnologyMaterials scienceCeramics and Composite02 engineering and technologyTemperature measurementIndustrial and Manufacturing EngineeringModeling and simulation020901 industrial engineering & automationMachiningRecyclingMagnesium alloyComposite materialSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneFEMMetallurgyMetals and AlloysComputer Science Applications1707 Computer Vision and Pattern RecognitionFriction Stir Extrusion021001 nanoscience & nanotechnologyMicrostructureChipFinite element methodComputer Science ApplicationsModeling and SimulationCeramics and CompositesExtrusion25060210 nano-technologyMagnesium alloy
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Energy harvesting using piezoelectric transducers for suspension systems

2020

Abstract Energy harvesting by using functional materials in suspension systems bear potential to win-back certain (even if low) amounts of vibrational energy, otherwise dissipated via the conventional (passive) dampers. Piezoelectric (PE) ceramics are functional materials that can be used for transforming mechanical energy into electrical and vice versa. In this paper, we study the capabilities and efficiency of energy harvesting (EH) with PE transducers under two different kinds of external excitation: i) Periodic and ii) stochastic. An appropriate nonlinear lumped parameter electromechanical model (LPEM) is brought into the two-port network notation. Laboratory experiments were conducted …

0209 industrial biotechnologyMaterials scienceMechanical EngineeringMechanical engineering02 engineering and technologyVDP::Electro-technical sciences: 540021001 nanoscience & nanotechnology7. Clean energyPiezoelectricityComputer Science ApplicationsDamperPower (physics)VDP::Elektrotekniske fag: 540Nonlinear system020901 industrial engineering & automationTransducerControl and Systems EngineeringElectrical and Electronic Engineering0210 nano-technologyEnergy harvestingMechanical energyExcitationMechatronics
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Contactless generation of cavitation in high temperature liquid metals and its impact on particle dispersion in solidified iron and steel samples

2021

Abstract A recently developed method for the contactless magnetic generation of cavitation is demonstrated for high-melting-point metals. The approach is based on the floating-zone technique, which is truly contactless and crucible-free as it uses electromagnetic forces. Using this method, ultra-high-temperature ceramic particles, such as TiN, TiB2 and TiC, are admixed in liquid iron and 316L steel. The dispersion and particle refinement caused by cavitation treatment during melting and solidification are investigated. Magnetic fields up to 8 T that correspond to pressure oscillation amplitude of 0.83 MPa are used. The signal emitted by the collapsing bubbles is captured and visualized for …

0209 industrial biotechnologyMaterials scienceMetals and Alloyschemistry.chemical_element02 engineering and technologySignalIndustrial and Manufacturing EngineeringComputer Science ApplicationsMagnetic field020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringchemistryModeling and SimulationCavitationvisual_artCeramics and Compositesvisual_art.visual_art_mediumParticleCeramicComposite materialDispersion (chemistry)TinIntensity (heat transfer)
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Modeling and control of uncertain nonlinear systems

2018

A survey of the methodologies associated with the modeling and control of uncertain nonlinear systems has been given due importance in this paper. The basic criteria that highlights the work is relied on the various patterns of techniques incorporated for the solutions of fuzzy equations that corresponds to fuzzy controllability subject. The solutions which are generated by these equations are considered to be the controllers. Currently, numerical techniques have come out as superior techniques in order to solve these types of problems. The implementation of neural networks technique is contributed in the complex way of dealing the appropriate coefficients and solutions of the fuzzy systems.

0209 industrial biotechnologyMathematical optimizationArtificial neural networkComputer scienceComputingUncertain systemsComputational mathematics02 engineering and technologyFuzzy control systemFuzzy logicControllabilitymodellingNonlinear system020901 industrial engineering & automationuncertain systems0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingfuzzy equationsnonlinear systemsControl (linguistics)control/dk/atira/pure/subjectarea/asjc/1700/dk/atira/pure/core/subjects/computingComputer Science(all)
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