Search results for "Engineering Sciences"

showing 10 items of 2347 documents

Rapid and robust on-site evaluation of articulated arm coordinate measuring machine performance

2018

International audience

0209 industrial biotechnologyComputer sciencebusiness.industryApplied Mathematics02 engineering and technologySite evaluationCoordinate-measuring machine01 natural sciences[SPI.MECA.GEME]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]010309 optics020901 industrial engineering & automation0103 physical sciencesComputer visionArtificial intelligencebusiness[SPI.MECA.GEME] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]InstrumentationEngineering (miscellaneous)ComputingMilieux_MISCELLANEOUS
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Predictive Model Markup Language (PMML) Representation of Bayesian Networks: An Application in Manufacturing

2018

International audience; Bayesian networks (BNs) represent a promising approach for the aggregation of multiple uncertainty sources in manufacturing networks and other engineering systems for the purposes of uncertainty quantification, risk analysis, and quality control. A standardized representation for BN models will aid in their communication and exchange across the web. This article presents an extension to the predictive model markup language (PMML) standard for the representation of a BN, which may consist of discrete variables, continuous variables, or their combination. The PMML standard is based on extensible markup language (XML) and used for the representation of analytical models…

0209 industrial biotechnologyDesignComputer sciencecomputer.internet_protocol02 engineering and technologycomputer.software_genreBayesian inferenceIndustrial and Manufacturing EngineeringArticle[SPI]Engineering Sciences [physics]020901 industrial engineering & automationPMML0202 electrical engineering electronic engineering information engineeringanalyticsUncertainty quantificationMonte-Carlouncertaintycomputer.programming_languageParsingBayesian networkInformationSystems_DATABASEMANAGEMENTstandardPython (programming language)XMLComputer Science ApplicationsmanufacturingComputingMethodologies_PATTERNRECOGNITIONBayesian networksControl and Systems EngineeringSurface-RoughnessData analysisPredictive Model Markup Language020201 artificial intelligence & image processingData miningcomputerXML
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Springback of thick sheet AHSS subject to bending under tension

2012

Lien vers la version éditeur : http://www.sciencedirect.com/science/article/pii/S0020740312000677 The springback behavior of four advanced high-strength sheet steels (Dual-Phase, TRIP, ferrite-bainite) with thicknesses ranging from 1.2 to 4 mm was investigated by means of the bending-under-tension (BUT) test. The applicability of several guidelines from the literature was investigated experimentally and numerically. The monotonic decrease of springback as back force increased was confirmed for this category of sheet steels, and a general trend for the non-linear influence of the tool radius was observed. The influence of numerical factors on the predicted values of springback was investigat…

0209 industrial biotechnologyEngineeringBending (metalworking)02 engineering and technology[SPI.MECA.SOLID]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Solid mechanics [physics.class-ph]Finite element simulation[PHYS.MECA.MEMA]Physics [physics]/Mechanics [physics]/Mechanics of materials [physics.class-ph]020901 industrial engineering & automationBending-under-tension0203 mechanical engineering[SPI.MECA.MEMA]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanics of materials [physics.class-ph][PHYS.MECA.SOLID]Physics [physics]/Mechanics [physics]/Solid mechanics [physics.class-ph]General Materials ScienceMécanique: Mécanique des matériaux [Sciences de l'ingénieur]Civil and Structural EngineeringAHSSSpringbackbusiness.industryTension (physics)Mechanical EngineeringMécanique: Mécanique des solides [Sciences de l'ingénieur]Structural engineeringRadiusCondensed Matter Physics020303 mechanical engineering & transportsMechanics of MaterialsbusinessFinite element simulationInternational Journal of Mechanical Sciences
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Assessment of material models through simple machining tests

2008

The accuracy of the results obtained from FEM simulation of machining operations depends on the accuracy of input data. Among these, the flow stress data of the workpiece are extremely important together with the friction along the tool-chip interface. In this study, an identification procedure for the determination of material parameters that are used for the FEM simulation of machining processes is proposed. The procedure is based on the coupling of a numerical identification procedure and Arbitrarian Lagrangian Eulerian (ALE) Finite Element simulations of turning operations. An experimental campaign was developed in order to calibrate the model and to validate the procedure. The basic id…

0209 industrial biotechnologyEngineeringInterface (computing)Mechanical engineeringComputational intelligence02 engineering and technologymaterial modelsFlow stressFinite Element Simulation[SPI]Engineering Sciences [physics]020901 industrial engineering & automation0203 mechanical engineeringMachiningmodelling of machiningGeneral Materials ScienceSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneMaterial modellingInverse ApproachCouplingbusiness.industryProcess (computing)MachiningFinite element methodIdentification (information)020303 mechanical engineering & transportsbusinessInternational Journal of Material Forming
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A Pareto optimal design approach for simultaneous control of thinning and springback in stamping processes

2009

One of the most relevant research issues in automotive field is focused on the reduction of stamped parts weight also increasing their strength. In this way, a strong research effort is developed on high strength steels which are widely utilized and they require a proper springback control. Springback reduction in sheet metal forming is a typical goal to be pursued which is conflicting with thinning reduction for instance. Thus, such problems can be considered as multi-objective ones characterized by conflicting objectives. What is more, nowadays, a great interest would be focused on the availability of a cluster of possible optimal solutions instead of a single one, particularly in an indu…

0209 industrial biotechnologyEngineeringMathematical optimizationsheet metal stampingAutomotive industryComputational intelligence02 engineering and technologyresponse surface methodBlankMulti-objective optimization[SPI.MAT]Engineering Sciences [physics]/Materialsspringback020901 industrial engineering & automationGeneral Materials ScienceResponse surface methodologySettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazionebusiness.industrythinningStructural engineering[SPI.MECA]Engineering Sciences [physics]/Mechanics [physics.med-ph]Stamping021001 nanoscience & nanotechnologymulti-objective optimizationvisual_artvisual_art.visual_art_medium0210 nano-technologybusinessSheet metalReduction (mathematics)International Journal of Material Forming
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Integration of gradient based and response surface methods to develop a cascade optimisation strategy for Y-shaped tube hydroforming process design

2010

International audience; In the last years a strong research effort was produced in order to develop and design new forming technologies able to overcome the typical drawbacks of traditional forming operations. Among such new technologies, hydroforming proved to be one of the most promising. The design of tube hydroforming operations is mainly aimed to prevent bursting or buckling occurrence and such issues can be pursued only if a proper control of both material feeding history and internal pressure path during the process is performed.In this paper, a proper optimisation strategy was developed on Y-shaped tube hydroforming process which is characterized by a quite complex process mechanics…

0209 industrial biotechnologyEngineeringMechanical engineeringProcess design02 engineering and technologyCascade optimisation[SPI.MAT]Engineering Sciences [physics]/Materials020901 industrial engineering & automation0203 mechanical engineeringTube (container)Steepest descent methodSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneMoving least squaresHydroformingMoving least squarebusiness.industryTube hydroformingGeneral EngineeringProcess (computing)Internal pressureStructural engineering[SPI.MECA]Engineering Sciences [physics]/Mechanics [physics.med-ph]020303 mechanical engineering & transportsCascadeMethod of steepest descentMoving least squaresbusinessSoftwareResponse surface method
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Vibration reduction on city buses: Determination of optimal position of engine mounts

2010

International audience; This study is composed of three essential parts. The first part describes an indirect semi-experimental method which is used to reconstruct the excitation force of an operating diesel engine from the acceleration data measured at the mounting points. These internal forces can not be directly measured with force sensors; they have to be derived from the dynamic deformation of the engine support, so a theoretical analysis is carried out to derive the equations for the force re-construction.The second part deals with prevention of low frequency vibration of the powertrain from spreading to the rest of the vehicle. Three uncoupling techniques are used to minimize these v…

0209 industrial biotechnologyEngineeringPowertrainVibration controlAerospace EngineeringMechanical engineering02 engineering and technologylaw.invention[SPI]Engineering Sciences [physics]020901 industrial engineering & automation0203 mechanical engineeringControl theorylawTorqueCivil and Structural EngineeringStiffness matrixCrankshaftbusiness.industryMechanical EngineeringVibrationBusEngineMountCrankshaftComputer Science ApplicationsVibration020303 mechanical engineering & transportsInternal combustion engineControl and Systems EngineeringSignal ProcessingbusinessDecoupling (electronics)
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Reliable diagnostics using wireless sensor networks

2019

International audience; Monitoring activities in industry may require the use of wireless sensor networks, for instance due to difficult access or hostile environment. But it is well known that this type of networks has various limitations like the amount of disposable energy. Indeed, once a sensor node exhausts its resources, it will be dropped from the network, stopping so to forward information about maybe relevant features towards the sink. This will result in broken links and data loss which impacts the diagnostic accuracy at the sink level. It is therefore important to keep the network's monitoring service as long as possible by preserving the energy held by the nodes. As packet trans…

0209 industrial biotechnologyGeneral Computer ScienceComputer science[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]02 engineering and technologyData loss[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]Network topology[SPI.AUTO]Engineering Sciences [physics]/Automatic[INFO.INFO-IU]Computer Science [cs]/Ubiquitous ComputingPrognostics and health management[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringAdaBoostElectroniquebusiness.industryNetwork packetGeneral Engineering[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationWireless sensor networksRandom forest[SPI.TRON]Engineering Sciences [physics]/Electronics[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Sensor node020201 artificial intelligence & image processing[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]Gradient boosting[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businessWireless sensor networkComputer networkComputers in Industry
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Using an Adaptive High-Gain Extended Kalman Filter With a Car Efficiency Model

2010

The authors apply the Adaptive High-Gain Extended Kalman Filter (AEKF) to the problem of estimating engine efficiency with data gathered from normal driving. The AEKF is an extension of the traditional Kalman Filter that allows the filter to be reactive to perturbations without sacrificing noise filtering. An observability normal form of the engine efficiency model is developed for the AEKF. The continuous-discrete AEKF is presented along with strategies for dealing with asynchronous data. Empiric test results are presented and contrasted with EKF-derived results.Copyright © 2010 by ASME

0209 industrial biotechnologyHigh-gain antennaEngineeringbusiness.industry020208 electrical & electronic engineering02 engineering and technologyKalman filterFilter (signal processing)Invariant extended Kalman filter[SPI.AUTO]Engineering Sciences [physics]/AutomaticExtended Kalman filter020901 industrial engineering & automationControl theoryEngine efficiency[ SPI.AUTO ] Engineering Sciences [physics]/Automatic0202 electrical engineering electronic engineering information engineeringFast Kalman filterObservabilitybusinessComputingMilieux_MISCELLANEOUS
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A new approach to simulate coating thickness in cold spray

2020

Abstract In the process of cold spray on complex components, the coating thickness is an important indicator to monitor and control. Current methods such as destructive tests or direct mechanical measurements can only be performed after spraying. Besides, these methods lead to production shutdown and additional costs . This article presents a novel approach predicting coating thickness for components with complex curved surfaces, especially in the case of shadow effects. Firstly, a three-dimensional geometric model of the coating profile based on Gaussian distribution was developed. In addition, the relative deposition efficiency (RDE) resulting from the different robot kinematic parameters…

0209 industrial biotechnologyMaterials scienceGaussianGas dynamic cold sprayProcess (computing)Mechanical engineering02 engineering and technologySurfaces and InterfacesGeneral ChemistryKinematicsengineering.materialFeedback loop021001 nanoscience & nanotechnologyCondensed Matter PhysicsSurfaces Coatings and Films[SPI]Engineering Sciences [physics]symbols.namesake020901 industrial engineering & automationCoatingMaterials ChemistryengineeringsymbolsDeposition (phase transition)0210 nano-technologyGeometric modelingSurface and Coatings Technology
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