Search results for "Finite Element."

showing 10 items of 891 documents

Why ruminating ungulates chew sloppily: Biomechanics discern a phylogenetic pattern.

2019

Altres ajuts: "Beatriu de Pinos" 2014 - BP-A 00048 There is considerable debate regarding whether mandibular morphology in ungulates primarily reflects phylogenetic affinities or adaptation to specific diet. In an effort to help resolve this debate, we use three-dimensional finite element analysis (FEA) to assess the biomechanical performance of mandibles in eleven ungulate taxa with well-established but distinct dietary preferences. We found notable differences in the magnitude and the distribution of von Mises stress between Artiodactyla and Perissodactyla, with the latter displaying lower overall stress values. Additionally, within the order Artiodactyla the suborders Ruminantia and Tylo…

0106 biological sciencesMaleModels AnatomicUngulateScienceFinite Element AnalysisZoologyRhinocerosMandible010603 evolutionary biology01 natural sciencesbiomechanicsRuminantiaBite ForceEvolution Molecular03 medical and health sciencesImaging Three-DimensionalSpecies SpecificityAnimalsCluster AnalysisRuminatingFEAPerissodactylaPhylogeny030304 developmental biologyArtiodactylafunctional morphology0303 health sciencesMultidisciplinarybiologyQRReproducibility of ResultsRuminantsbiology.organism_classificationTylopodaBiomechanical PhenomenaDietBite force quotientPhylogenetic PatternMedicineMasticationFemaleAdaptationPloS one
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Impact loading history modulates hip fracture load and location : A finite element simulation study of the proximal femur in female athletes

2018

Sideways falls impose high stress on the thin superolateral cortical bone of the femoral neck, the region regarded as a fracture-prone region of the hip. Exercise training is a natural mode of mechanical loading to make bone more robust. Exercise-induced adaptation of cortical bone along the femoral neck has been previously demonstrated. However, it is unknown whether this adaption modulates hip fracture behavior. The purpose of this study was to investigate the influence of specific exercise loading history on fall-induced hip fracture behavior by estimating fracture load and location with proximal femur finite element (FE) models created from magnetic resonance images (MRI) of 111 women w…

02 engineering and technologyFinite element simulationWeight-Bearing0302 clinical medicinemurtumatreisiluuOrthopedics and Sports MedicineFemurOrthodonticsHip fractureluustomedicine.diagnostic_testbiologyProximal femurexerciseRehabilitationfallingfemoral neckta3142lonkkamurtumatBiomechanical Phenomenamedicine.anatomical_structureFemalevahvistaminenAdultFinite Element Analysis0206 medical engineeringBiomedical EngineeringBiophysics030209 endocrinology & metabolismbone strengthYoung Adult03 medical and health sciencesmedicineHumansFemoral neckHip Fracturesbusiness.industryAthletesMagnetic resonance imagingfinite element modelingmedicine.diseasebiology.organism_classification020601 biomedical engineeringAthletesImpact loadingAccidental FallsCortical bonebusinesshuman activitiesJournal of Biomechanics
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Prediction of Vehicle Crashworthiness Parameters Using Piecewise Lumped Parameters and Finite Element Models

2018

Estimating the vehicle crashworthiness parameters experimentally is expensive and time consuming. For these reasons different modelling approaches are utilized to predict the vehicle behaviour and reduce the need for full-scale crash testing. The earlier numerical methods used for vehicle crashworthiness analysis were based on the use of lumped parameters models (LPM), a combination of masses and nonlinear springs interconnected in various configurations. Nowadays, the explicit nonlinear finite element analysis (FEA) is probably the most widely recognized modelling technique. Although informative, finite element models (FEM) of vehicle crash are expensive both in terms of man-hours put into…

0209 industrial biotechnologyComputer science02 engineering and technologyfinite element analysislcsh:TechnologyIndustrial and Manufacturing EngineeringAcceleration020901 industrial engineering & automation0203 mechanical engineeringlcsh:TA174Range (statistics)acceleration severity indexEngineering (miscellaneous)automotive_engineeringMathematicsbusiness.industrylcsh:TMechanical EngineeringNumerical analysisStructural engineeringlcsh:Engineering designCrash testFinite element methodNonlinear system020303 mechanical engineering & transportsPiecewiseCrashworthinesspiecewise lumped parametersdynamic crushbusinessDesigns
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Real-time biomechanical modeling of the liver using Machine Learning models trained on Finite Element Method simulations

2020

[EN] The development of accurate real-time models of the biomechanical behavior of different organs and tissues still poses a challenge in the field of biomechanical engineering. In the case of the liver, specifically, such a model would constitute a great leap forward in the implementation of complex applications such as surgical simulators, computed-assisted surgery or guided tumor irradiation. In this work, a relatively novel approach for developing such a model is presented. It consists in the use of a machine learning algorithm, which provides real-time inference, trained on tens of thousands of simulations of the biomechanical behavior of the liver carried out by the finite element me…

0209 industrial biotechnologyComputer scienceINGENIERIA MECANICA02 engineering and technologyMachine learningcomputer.software_genreField (computer science)020901 industrial engineering & automationArtificial IntelligenceEuclidean geometryMachine learning0202 electrical engineering electronic engineering information engineeringFinite element method Real timebusiness.industryWork (physics)General EngineeringCoherent point driftBiomechanical engineeringFinite element methodComputer Science ApplicationsRange (mathematics)Liver020201 artificial intelligence & image processingArtificial intelligenceBiomechanical modelingbusinesscomputer
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Heat in Metal Cutting

2008

This chapter provides comprehensive knowledge regarding thermal effects during the cutting process with both uncoated and coated cutting tools. Main heat sources and flowing heat fluxes into the tool, chip and workpiece are characterized and quantified. The heat distribution models that allow the analytical prediction of heat partition between the tool and the chip are specified. They consider such thermal properties as specific heat, thermal conductivity and diffusivity, Peclet thermal number, and heat transmission ratio, all as functions of temperature. Finite element method and finite difference method simulations applied to the prediction of temperature fields are outlined for turning a…

0209 industrial biotechnologyEngineering drawingMaterials scienceCutting toolMetallurgyMechanical engineering02 engineering and technology010501 environmental sciencesHeat sinkThermal diffusivity01 natural sciencesFinite element methodHeat pipe020901 industrial engineering & automationThermal conductivityHeat transferHeat deflection temperatureMetal cutting0105 earth and related environmental sciences
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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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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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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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