Search results for "LEM"

showing 10 items of 23327 documents

Modelling and Simulation of Machining Processes and Operations

2008

This chapter provides the state-of-the-art knowledge engineering and modelling techniques applied in manufacturing/machining and overviews future trends observed at a global scale. Modelling methods for machining processes and operations are classified. The chapter also highlights the multiple tasks of modelling and simulation in modern machining/manufacturing systems. The most popular techniques of numerical simulation including finite difference method and finite element method (FEM) related to mechanical and thermal problems arising in machining processes are described. Practical examples of FE models of various metal cutting operations and their importance in modern manufacturing are pr…

0209 industrial biotechnologyEngineeringMaterials scienceComputer simulationbusiness.industryScale (chemistry)Knowledge engineeringFinite difference methodMechanical engineering02 engineering and technologyFinite element method020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringMachiningModelling methodsFe modelbusiness
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Data-based modeling and estimation of vehicle crash processes in frontal fixed-barrier crashes

2017

Abstract As a complex process, vehicle crash is challenging to be described and estimated mathematically. Although different mathematical models are developed, it is still difficult to balance the complexity of models and the performance of estimation. The aim of this work is to propose a novel scheme to model and estimate the processes of vehicle-barrier frontal crashes. In this work, a piecewise model structure is predefined to represent the accelerations of vehicle in frontal crashes. Each segment in the model is corresponding to the energy absorbing component in the crashworthiness structure. With the help of Ensemble Empirical Mode Decomposition (EEMD), a robust scheme is proposed for …

0209 industrial biotechnologyEngineeringSignal processingMathematical modelComputer Networks and Communicationsbusiness.industryApplied MathematicsCrash02 engineering and technologyControl and Systems Engineering; Signal Processing; Computer Networks and Communications; Applied MathematicsFinite element methodHilbert–Huang transform020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringControl and Systems EngineeringComponent (UML)Signal ProcessingPiecewiseCrashworthinessbusinessAlgorithmSimulationJournal of the Franklin Institute
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Experimental framework of traveling trolley with swinging load for hybrid motion control

2018

A novel experimental framework of the traveling trolley with swinging load is proposed. The system is designed as a controlled moving cart with pendulum for investigation of the hybrid motion control methods, involving the discrete sensors and impulsive event-based state observations and control actions. A mechatronic approach of principal system design, modeling, and identification are provided together with a motion control of the cart and simple event-based control of a-priori unknown final position. The coupled motion dynamics is analyzed and evaluated by using the discrete sensors, along with the control results.

0209 industrial biotechnologyEvent (computing)Computer scienceElementary eventDynamics (mechanics)Pendulum02 engineering and technologyMechatronicsMotion control01 natural sciences020901 industrial engineering & automationPosition (vector)Control theory0103 physical sciencesSystems design010301 acoustics2018 IEEE 15th International Workshop on Advanced Motion Control (AMC)
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Process mechanics in Friction Stir Extrusion of magnesium alloys chips through experiments and numerical simulation

2017

Abstract Friction Stir Extrusion (FSE) is a novel process designed to directly recycle machining chips. An experimental campaign was carried out on AZ31 milling chips using variations in extrusion ratio, force and tool rotation rate. The process mechanics were studied and correlated to the material flow, which was elucidated through use of a copper marker. A 3D, Lagrangian, thermo-mechanically coupled dedicated numerical model was set up and validated through temperature measurements. The combination of experimental and numerical results permitted to reconstruct the complex 3D material flow induced by tool rotation and plunge into the extrusion billet chamber.

0209 industrial biotechnologyFEMMaterials scienceComputer simulationStrategy and ManagementProcess (computing)Mechanical engineering02 engineering and technologyMechanicsFriction Stir ExtrusionManagement Science and Operations Research021001 nanoscience & nanotechnologyRotationTemperature measurementFinite element methodIndustrial and Manufacturing EngineeringMaterial flowStrategy and Management1409 Tourism Leisure and Hospitality Management020901 industrial engineering & automationMachiningExtrusionRecycling0210 nano-technologySettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneMagnesium alloy
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Health Indicator for Low-Speed Axial Bearings Using Variational Autoencoders

2020

This paper proposes a method for calculating a health indicator (HI) for low-speed axial rolling element bearing (REB) health assessment by utilizing the latent representation obtained by variational inference using Variational Autoencoders (VAEs), trained on each speed reference in the dataset. Further, versatility is added by conditioning on the speed, extending the VAE to a conditional VAE (CVAE), thereby incorporating all speeds in a single model. Within the framework, the coefficients of autoregressive (AR) models are used as features. The dimensionality reduction inherent in the proposed method lowers the need of expert knowledge to design good condition indicators. Moreover, the sugg…

0209 industrial biotechnologyGeneral Computer Sciencegenerative modelsComputer sciencecondition monitoring02 engineering and technologyLatent variableunsupervised learningFault detection and isolationBearing fault detection020901 industrial engineering & automationVDP::Teknologi: 500::Maskinfag: 5700202 electrical engineering electronic engineering information engineeringGeneral Materials Sciencevariational autoencoderconditional variational autoencoderbusiness.industryDimensionality reduction020208 electrical & electronic engineeringGeneral EngineeringPattern recognitionData pointAutoregressive modelRolling-element bearingFalse alarmArtificial intelligencelcsh:Electrical engineering. Electronics. Nuclear engineeringbusinesslcsh:TK1-9971IEEE Access
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Using infrared thermography in order to compare laser and hybrid (laser plus MIG) welding processes

2009

International audience; In order to deepen the understanding of the differences between laser and laser-arc hybrid welding, comparisons were undertaken using thermography. The experiments were carried out for a T assembly of aluminium alloy plates. Modelling, based on the finite element method approach, was realized using IR temperature measurements and seam geometry. For a value of the power supply, depicted as a surface source in the hybrid case, agreement was found between simulated and measured temperatures. The arc power supply efficiency value is similar to the usually used value.

0209 industrial biotechnologyMaterials science02 engineering and technologyWelding7. Clean energyTemperature measurementlaw.inventionGas metal arc welding020901 industrial engineering & automationOptics0203 mechanical engineeringlawAluminium alloyElectrical and Electronic Engineeringbusiness.industryLaser beam welding[CHIM.MATE]Chemical Sciences/Material chemistryLaserAtomic and Molecular Physics and OpticsFinite element methodElectronic Optical and Magnetic Materials020303 mechanical engineering & transportsvisual_artThermal modelling[ CHIM.MATE ] Chemical Sciences/Material chemistryThermographyvisual_art.visual_art_mediumInfrared thermographyLaser weldingbusiness
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A macroscale FEM-based approach for selective laser sintering of thermoplastics

2017

A numerical approach to model the selective laser sintering (SLS) of polypropylene is proposed. A 3D thermal model was developed and thus enables the prediction of the temperature fields and the extension of the sintered area in the powder bed taking into account the phase change during multiple laser passes. Powder–liquid, liquid–solid and solid–liquid phase changes were modelled during the SLS and the subsequent cooling processes. Then, a 3D thermomechanically coupled model was set up based on the temperature results of the thermal model in order to predict the distortion of the produced parts after cooling down. Different pre-heating temperatures were considered, highlighting their…

0209 industrial biotechnologyMaterials scienceAdditive manufacturing02 engineering and technologyIndustrial and Manufacturing Engineeringlaw.inventionchemistry.chemical_compoundPhase change020901 industrial engineering & automationlawDistortionPhase (matter)Phase changeComposite materialPolypropyleneMechanical EngineeringComputer Science Applications1707 Computer Vision and Pattern Recognition021001 nanoscience & nanotechnologyLaserFinite element methodFinite element modellingComputer Science ApplicationsSelective laser sinteringSelective laser sinteringchemistryControl and Systems EngineeringPolypropylene0210 nano-technologySoftwareCooling downThe International Journal of Advanced Manufacturing 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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Influence of processing parameters and initial temper on Friction Stir Extrusion of 2050 aluminum alloy

2017

Abstract Friction Stir Extrusion is an innovative production technology that enables direct wire production via consolidation and extrusion of metal chips or solid billets. During the process, a rotating die is plunged into a cylindrical chamber containing the material to be extruded. The stirring action of the tool produces plastic flow in the extrusion chamber, densifying and heating the charge so that finally, fully dense rods are extruded. Experiments have been carried out in order to investigate the influence of process parameters and initial temper of the base material on the process variables and on the extrudates’ mechanical properties.

0209 industrial biotechnologyMaterials scienceConsolidation (soil)Strategy and ManagementMetallurgyAlloychemistry.chemical_elementFriction Stir Extrusion FSE Recycling Aluminum alloys 205002 engineering and technologyManagement Science and Operations ResearchPlasticityengineering.material021001 nanoscience & nanotechnologyIndustrial and Manufacturing EngineeringRod020901 industrial engineering & automationchemistryAluminiumengineeringExtrusionComposite material0210 nano-technologySettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneJournal of Manufacturing Processes
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The use of exploratory experimental designs combined with thermal numerical modelling to obtain a predictive tool for hybrid laser/MIG welding and co…

2011

Abstract While hybrid laser welding and coating processes involve a large number of physical phenomena, it is currently impossible to predict, for a given set of influencing factors, the shape of the molten zone and the history of temperature fields inside the parts. This remains true for complex processes, such as the hybrid laser/MIG welding process, which consists in combining a laser beam with a MIG torch. The gains obtained result essentially from the synergy of the associated processes: the stability of the process, the quality of the seam realized, and the productivity are increased. This article shows how, by means of a reduced number of experiments (8), it is possible to predict th…

0209 industrial biotechnologyMaterials scienceDesign of experimentsProcess (computing)Mechanical engineeringLaser beam welding02 engineering and technologyengineering.material021001 nanoscience & nanotechnologyLaserAtomic and Molecular Physics and OpticsFinite element methodElectronic Optical and Magnetic MaterialsGas metal arc weldinglaw.invention020901 industrial engineering & automationCoatinglawThermalengineeringElectrical and Electronic Engineering0210 nano-technologyComputingMilieux_MISCELLANEOUS
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