Search results for "SIM"

showing 10 items of 10139 documents

Friction Model for Tool/Work Material Contact Applied to Surface Integrity Prediction in Orthogonal Cutting Simulation

2017

Abstract Tribological behavior at both tool/chip and tool/work material interfaces should be highly considered while simulating the machining process. In fact, it is no longer accurate to suppose one independent constant friction coefficient at the tool/chip interface, since in reality it depends on the applied contact conditions, including the sliding velocity and pressure. The contact conditions at both above mentioned interfaces may affect the thermal and mechanical phenomena and consequently the surface integrity predictions. In this article, the influence of contact conditions (sliding velocity) on the tribological behavior of uncoated tungsten carbide tool against OFHC copper work mat…

0209 industrial biotechnologyWork (thermodynamics)Matériaux [Sciences de l'ingénieur]Materials scienceMechanical Phenomenachemistry.chemical_element02 engineering and technologytribology testschemistry.chemical_compound020901 industrial engineering & automation0203 mechanical engineeringcarbide toolTungsten carbideThermalComposite materialGeneral Environmental Sciencecutting simulationfriction modelingMécanique [Sciences de l'ingénieur]MetallurgyOFHC copperTribologyChipCopper020303 mechanical engineering & transportschemistryGeneral Earth and Planetary SciencesSurface integrityProcedia CIRP
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Standards Based Generation of a Virtual Factory Model

2016

International audience; Developing manufacturing simulation models usually requires experts with knowledge of multiple areas including manufacturing, modeling, and simulation software. The expertise requirements increase for virtual factory models that include representations of manufacturing at multiple resolution levels. This paper reports on an initial effort to automatically generate virtual factory models using manufacturing configuration data in standard formats as the primary input. The execution of the virtual factory generates time series data in standard formats mimicking a real factory. Steps are described for auto- generation of model components in a software environment primari…

0209 industrial biotechnology[ INFO.INFO-MO ] Computer Science [cs]/Modeling and Simulation021103 operations research020901 industrial engineering & automation0211 other engineering and technologies02 engineering and technology[INFO.INFO-MO] Computer Science [cs]/Modeling and SimulationManufacturing systems[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationSimulation
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Towards a virtual factory prototype

2015

International audience; A virtual factory should represent most of the features and operations of the corresponding real factory. Some of the key features of the virtual factory include the ability to assess performance at multiple resolutions and generate analytics data similar to what is possible in a real factory. One should be able to look at the overall factory performance and be able to drill down to a machine and analyze its performance. It will require a large amount of effort and expertise to build such a virtual factory. This paper describes an effort to build a multiple resolution model of a manufacturing cell. The model provides the ability to study the performance at the cell l…

0209 industrial biotechnology[ INFO.INFO-MO ] Computer Science [cs]/Modeling and SimulationMTConnect[SPI] Engineering Sciences [physics]05 social sciencesvirtual factory02 engineering and technologysimulation[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation[SPI]Engineering Sciences [physics]020901 industrial engineering & automation0502 economics and business[ SPI ] Engineering Sciences [physics][INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation050203 business & management
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Global sensitivity analysis in welding simulations -- what are the material data you really need ?

2011

In this paper, the sensitivity analysis methodology is applied to numerical welding simulation in order to rank the importance of input variables on the outputs of the code like distorsions or residual stresses. The numerical welding simulation uses the finite element method, with a thermal computation followed by a mechanical one. Classically, a local sensitivity analysis is performed, hence the validity of the results is limited to the neighbourhood of a nominal point, and cross effects cannot be detected. This study implements a global sensitivity analysis which allows to screen the whole material space of the steel family mechanical properties. A set of inputs of the mechanical model-ma…

0209 industrial biotechnology[ SPI.MECA.STRU ] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanics of the structures [physics.class-ph]02 engineering and technologyWeldingFinite Element[ PHYS.MECA.STRU ] Physics [physics]/Mechanics [physics]/Mechanics of the structures [physics.class-ph]law.invention020901 industrial engineering & automation[PHYS.MECA.STRU]Physics [physics]/Mechanics [physics]/Structural mechanics [physics.class-ph]0203 mechanical engineeringlawPoint (geometry)Sensitivity (control systems)numerical experimentsMathematicsApplied MathematicsGeneral EngineeringSampling (statistics)Computer Graphics and Computer-Aided DesignFinite element method[SPI.MECA.STRU]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanics of the structures [physics.class-ph]welding simulation020303 mechanical engineering & transportsLatin hypercube samplingRanking[SPI.MECA.STRU]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Structural mechanics [physics.class-ph]Variance-based sensitivity analysisAlgorithmAnalysis
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Modeling Energy Demand Aggregators for Residential Consumers

2013

International audience; Energy demand aggregators are new actors in the energy scenario: they gather a group of energy consumers and implement a demand- response paradigm. When the energy provider needs to reduce the current energy demand on the grid, it can pay the energy demand aggregator to reduce the load by turning off some of its consumers loads or postponing their activation. Currently this operation involves only greedy energy consumers like industrial plants. In this paper we want to study the potential of aggregating a large number of small energy consumers like home users as it may happen in smart grids. In particular we want to address the feasibility of such approach by conside…

0209 industrial biotechnologydemand-response paradigm020209 energyEnergy current02 engineering and technologycomputer.software_genre7. Clean energyNews aggregatorload regulation[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]020901 industrial engineering & automationdemand side management; load regulation; queueing theory; smart power grids; demand-response paradigm; energy consumers; energy demand aggregator modeling; greedy energy consumers; home users; industrial plants; power load control; queuing theory; residential consumers; smart grids; Delays; Home appliances; Load modeling; Power demand; Sociology; Statistics; Switchesresidential consumerSociologySettore ING-INF/04 - Automatica0202 electrical engineering electronic engineering information engineeringindustrial plantenergy demand aggregator modelingDemand loadSimulationStatisticQueueing theoryDelayLoad modelingdemand side managementSettore ING-INF/03 - Telecomunicazionigreedy energy consumerpower load controlLoad balancing (electrical power)Poisson processEnvironmental economicsGridenergy consumerHome applianceSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaSmart gridQueueing theorymart gridLoad regulationqueuing theoryPower demandEnergy demand aggregatorsmart power gridcomputerSwitcheshome user
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P-FCM: a proximity-based fuzzy clustering for user-centered web applications

2003

Abstract In last years, the Internet and the web have been evolved in an astonishing way. Standard web search services play an important role as useful tools for the Internet community even though they suffer from a certain difficulty. The web continues its growth, making the reliability of Internet-based information and retrieval systems more complex. Nevertheless there has been a substantial analysis of the gap between the expected information and the returned information, the work of web search engine is still very hard. There are different problems concerning web searching activity, one among these falls in the query phase. Each engine provide an interface which the user is forced to le…

0209 industrial biotechnologymedicine.medical_specialtyComputer science02 engineering and technologyWeb engineeringcomputer.software_genreSimilarityTheoretical Computer ScienceWorld Wide Web020901 industrial engineering & automationArtificial IntelligenceWeb query classificationWeb design0202 electrical engineering electronic engineering information engineeringmedicineWeb navigationWeb search queryInformation retrievalHuman–computer interactionApplied MathematicsFuzzy logicSearch enginesWeb search engine020201 artificial intelligence & image processingWeb servicecomputerWeb modelingSoftwareFuzzy C-mean algorithmInternational Journal of Approximate Reasoning
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Do Randomized Algorithms Improve the Efficiency of Minimal Learning Machine?

2020

Minimal Learning Machine (MLM) is a recently popularized supervised learning method, which is composed of distance-regression and multilateration steps. The computational complexity of MLM is dominated by the solution of an ordinary least-squares problem. Several different solvers can be applied to the resulting linear problem. In this paper, a thorough comparison of possible and recently proposed, especially randomized, algorithms is carried out for this problem with a representative set of regression datasets. In addition, we compare MLM with shallow and deep feedforward neural network models and study the effects of the number of observations and the number of features with a special dat…

0209 industrial biotechnologyrandom projectionlcsh:Computer engineering. Computer hardwareComputational complexity theoryComputer scienceRandom projectionlcsh:TK7885-789502 engineering and technologyMachine learningcomputer.software_genresupervised learningapproximate algorithmsSet (abstract data type)regressioanalyysi020901 industrial engineering & automationdistance–based regressionalgoritmit0202 electrical engineering electronic engineering information engineeringordinary least–squaresbusiness.industrySupervised learningsingular value decompositionminimal learning machineMultilaterationprojektioRandomized algorithmkoneoppiminenmachine learningScalabilityFeedforward neural network020201 artificial intelligence & image processingArtificial intelligenceapproksimointibusinesscomputerMachine Learning and Knowledge Extraction
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Using Inverse Reinforcement Learning with Real Trajectories to Get More Trustworthy Pedestrian Simulations

2020

Reinforcement learning is one of the most promising machine learning techniques to get intelligent behaviors for embodied agents in simulations. The output of the classic Temporal Difference family of Reinforcement Learning algorithms adopts the form of a value function expressed as a numeric table or a function approximator. The learned behavior is then derived using a greedy policy with respect to this value function. Nevertheless, sometimes the learned policy does not meet expectations, and the task of authoring is difficult and unsafe because the modification of one value or parameter in the learned value function has unpredictable consequences in the space of the policies it represents…

0209 industrial biotechnologyreinforcement learningComputer scienceGeneral Mathematics02 engineering and technologypedestrian simulationTask (project management)learning by demonstration020901 industrial engineering & automationAprenentatgeInformàticaBellman equation0202 electrical engineering electronic engineering information engineeringComputer Science (miscellaneous)Reinforcement learningEngineering (miscellaneous)business.industrycausal entropylcsh:MathematicsProcess (computing)020206 networking & telecommunicationsFunction (mathematics)inverse reinforcement learninglcsh:QA1-939Problem domainTable (database)Artificial intelligenceTemporal difference learningbusinessoptimizationMathematics
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A model for torque losses in variable displacement axial piston motors

2018

This paper includes a comparison of earlier presented models for torque losses in hydraulic motors and several proposed models that all rely on data typically available for a system engineer. The new models and the old ones are compared. The new models are all based on a model developed by Jeong 2007 with an expansion that include variable displacement. All of the new models yield very good accuracy down to approximately 50% of maximum displacement and down to approximately 15% of maximum speed. In these operational ranges the deviation in torque is less than 1%. The main purpose of the new models is to facilitate simulations of hydraulically actuated winches with a balance between accuracy…

0209 industrial biotechnologytorque loss020208 electrical & electronic engineeringHydraulics02 engineering and technologyMechanicsVariable displacementlcsh:QA75.5-76.95Computer Science Applicationslaw.inventionPiston020901 industrial engineering & automationBosch RexrothControl and Systems EngineeringlawModeling and Simulationaxial piston motor0202 electrical engineering electronic engineering information engineeringTorquewinch drivelcsh:Electronic computers. Computer scienceoffshore knuckle boom cranesSoftwareGeologyModeling, Identification and Control
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De la botánica "inútil" a la ciencia aplicada. Simón de Rojas Clemente y Rubio

2015

0210-086X 364 Cuadernos de geografía 411482 2015 97 5284897 De la botánica "inútil" a la ciencia aplicada. Simón de Rojas Clemente y Rubio Piqueras Haba:GEOGRAFÍA [UNESCO]Juan 5 29UNESCO::GEOGRAFÍA
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