Search results for " method"

showing 10 items of 10455 documents

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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Single block 3D numerical model for linear friction welding of titanium alloy

2018

A two-stage approach for the simulation of Linear Friction Welding is presented. The proposed model, developed using the commercial simulation package DEFORM, is 3D Lagrangian, thermo-mechanically coupled. The first phase of the process was modelled with two distinct workpieces, while the remaining phases were simulated using a single-block model. The Piwnik–Plata criterion was set up and used to determine the shifting from the dual object to the single-block model. The model, validated against experimental temperature measurements, is able to predict the main field variables distributions with varying process parameters. Titanium alpha and beta phases evolution during the whole process has…

0209 industrial biotechnologyMaterials scienceFinite element method titanium linear friction welding Ti6Al4VTitanium alloychemistry.chemical_element02 engineering and technology021001 nanoscience & nanotechnologyCondensed Matter PhysicsFinite element methodsymbols.namesake020901 industrial engineering & automationchemistryBlock (telecommunications)symbolsGeneral Materials ScienceFriction weldingComposite material0210 nano-technologySettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneLagrangianTitanium
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Influence of Process Parameters on the Product Integrity in Friction Stir Extrusion of Magnesium Alloys

2016

Friction Stir Extrusion is an innovative direct-recycling technology for metal machining chips. During the process a specifically designed rotating tool is plunged into a cylindrical matrix containing the scraps to be recycled. The stirring action of the tool prompts solid bonding related phenomena allowing the back extrusion of a full dense rod. This process results to be particularly relevant because allows the reuse of the scrap without any previous treatment. Experiments have been carried out in order to investigate the influence of the process parameters on the extrudes quality and a numerical model has been developed in order to simulate the evolution of the material flow.

0209 industrial biotechnologyMaterials scienceMechanical EngineeringMetallurgyProcess (computing)Scrap02 engineering and technologyReuse021001 nanoscience & nanotechnologyStrength of materialsFinite element methodMaterial flow020901 industrial engineering & automationMechanics of MaterialsGeneral Materials ScienceExtrusionMagnesium alloy0210 nano-technologyKey Engineering Materials
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Dissimilar titanium/aluminum friction stir welding lap joints by experiments and numerical simulation

2016

Dissimilar lap joints were produced by friction stir welding (FSW) out of Ti6Al4V titanium alloy and AA2024 aluminum alloy sheets. The joints, welded with varying tool rotation and feed rate, were studied by analyzing the maximum shear strength, Vickers microhardness and optical observations. A dedicated numerical model, able to take into account the presence of the two different alloys, was used to highlight the effects of the process parameters on temperature distribution, strain distribution, and material flow. The combined analysis of experimental measurements and numerical predictions allowed explaining the effects of tool rotation and feed rate on the material flow. It was found that …

0209 industrial biotechnologyMaterials sciencePolymers and PlasticsAA2024Lap joint02 engineering and technologyWeldingRotationIndustrial and Manufacturing Engineeringlaw.invention020901 industrial engineering & automationlawShear strengthFriction stir weldingMechanics of MaterialComposite materialJoint (geology)Finite element method (FEM)Polymers and PlasticFriction stir welding (FSW)Mechanical EngineeringTi6Al4VTitanium alloy021001 nanoscience & nanotechnologyMaterial flowLap jointMechanics of Materials0210 nano-technology
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Surface Characteristics of Machined Polystyrene with 3D Printed Thermoplastic Tool

2020

An effort is made in this work to appraise the surface characteristics of machined expandable polystyrene (EPS) with a novel 3D printed thermoplastic acrylonitrile-butadiene-styrene (ABS) tool. Linear grooves on EPS were made on a vertical milling machine that was modified to conduct experiments in the laboratory. The tests were designed as per the Taguchi L9 based factorial design of experimentation while varying process parameters such as depth of cut, spindle speed, and feed rate. The machining responses dimensional accuracy and surface roughness of the machined grooves were studied. Furthermore, the surface topography of the machined specimens was considered to investigate the mechanism…

0209 industrial biotechnologyMaterials scienceThermoplastic02 engineering and technologylcsh:TechnologyArticle09 EngineeringTaguchi methodschemistry.chemical_compound020901 industrial engineering & automationMachiningSurface roughnessthermoplastic toolGeneral Materials ScienceComposite materialthree-dimensional printinglcsh:Microscopylcsh:QC120-168.85chemistry.chemical_classificationMathematical modellcsh:QH201-278.5lcsh:Tfused deposition modellingFactorial experiment021001 nanoscience & nanotechnologyexpandable polystyrenechemistrylcsh:TA1-2040surface roughnessdimension accuracymillinglcsh:Descriptive and experimental mechanicsPolystyrenelcsh:Electrical engineering. Electronics. Nuclear engineering03 Chemical Sciences0210 nano-technologyBatch productionlcsh:Engineering (General). Civil engineering (General)lcsh:TK1-9971Materials
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Through-transmission laser welding of polymers – temperature field modeling and infrared investigation

2007

The purpose of the present study is to estimate the weldability of a polymeric material couple according to their thermal and optical properties. A first model based on Mie theory and Monte Carlo method describes the laser beam behavior in semi-transparent media and makes it possible to approximate the laser power distribution at the interface of the two materials. A second model based on finite element method permits the temperature field estimation into both parts to be welded. The results are validated by infrared thermography.

0209 industrial biotechnologyMaterials sciencebusiness.industryMie scatteringMonte Carlo methodWeldabilityLaser beam welding02 engineering and technologyWelding021001 nanoscience & nanotechnologyCondensed Matter PhysicsAtomic and Molecular Physics and OpticsFinite element methodElectronic Optical and Magnetic Materialslaw.invention020901 industrial engineering & automationOpticslawThermographyLaser power scaling0210 nano-technologybusinessInfrared Physics & Technology
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A Methodology for Modeling and Optimizing Social Systems

2020

[EN] A system methodology for modeling and optimizing social systems is presented. It allows constructing dynamical models formulated stochastically, i.e., their results are given by confidence intervals. The models provide optimal intervention ways to reach the stated objectives. Two optimization methods are used: (1) to test strategies and scenarios and (2) to optimize with a genetic algorithm. The application case presented is a small nonformal education Spanish business. First, the model is validated in the 2008-2012 period, and subsequently, the optimal way to obtain a maximum profit in the 2013-2025 period is obtained using the two methods.

0209 industrial biotechnologyMathematical optimizationComputer scienceStochastic modellingEconomical model02 engineering and technologyConfidence intervalSocial systems020901 industrial engineering & automationStochastic modelGenetic algorithmArtificial IntelligenceSocial systemGenetic algorithm0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingSystem methodologySensitivity analysisMATEMATICA APLICADASoftwareSimulationStrategies and scenariosInformation Systems
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A decomposition approach to dual shuttle automated storage and retrieval systems

2016

[EN] Automated Storage and Retrieval Systems (AS/RS) have become vital in today¿s distribution and production environments, however it remains necessary to equip them with more efficient operational control policies. Motivated by real situations encountered by companies employing AS/RS, the present paper studies a miniload AS/RS system, with a dual shuttle crane in which a set of storage and retrieval requests must be scheduled such that the prioritized waiting time is minimized. Dual shuttle cranes have received minimal academic attention and thus continue to pose new problems that must be solved. The miniload AS/RS problem is addressed by decomposing it into a location assignment and sequ…

0209 industrial biotechnologyMathematical optimizationGeneral Computer ScienceComputer scienceESTADISTICA E INVESTIGACION OPERATIVA0211 other engineering and technologiesLogistics02 engineering and technologyAutomated storage and retrieval systemsSet (abstract data type)Dual shuttle020901 industrial engineering & automationDecomposition (computer science)HeuristicsMetaheuristicDecomposition021103 operations researchBranch and boundHeuristicControl policiesGeneral EngineeringWarehouseDual (category theory)Decomposition method (constraint satisfaction)HeuristicsComputers & Industrial Engineering
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Decomposition and Mean-Field Approach to Mixed Integer Optimal Compensation Problems

2016

Mixed integer optimal compensation deals with optimization problems with integer- and real-valued control variables to compensate disturbances in dynamic systems. The mixed integer nature of controls could lead to intractability in problems of large dimensions. To address this challenge, we introduce a decomposition method which turns the original n-dimensional optimization problem into n independent scalar problems of lot sizing form. Each of these problems can be viewed as a two-player zero-sum game, which introduces some element of conservatism. Each scalar problem is then reformulated as a shortest path one and solved through linear programming over a receding horizon, a step that mirro…

0209 industrial biotechnologyMathematical optimizationSpecial ordered setOptimization problemControl and OptimizationLinear programmingBranch and priceApplied Mathematics010102 general mathematics02 engineering and technologyManagement Science and Operations ResearchOptimal control01 natural sciencesOptimal controlMixed integer optimization020901 industrial engineering & automationSettore ING-INF/04 - AutomaticaShortest path problemMean-field gameDecomposition method (constraint satisfaction)0101 mathematicsSettore MAT/09 - Ricerca OperativaMean-field games; Optimal control; Mixed integer optimizationInteger programmingMathematics
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JOINT TOPOLOGY LEARNING AND GRAPH SIGNAL RECOVERY VIA KALMAN FILTER IN CAUSAL DATA PROCESSES

2018

In this paper, a joint graph-signal recovery approach is investigated when we have a set of noisy graph signals generated based on a causal graph process. By leveraging the Kalman filter framework, a three steps iterative algorithm is utilized to predict and update signal estimation as well as graph topology learning, called Topological Kalman Filter or TKF. Similar to the regular Kalman filter, we first predict the a posterior signal state based on the prior available data and then this prediction is updated and corrected based on the recently arrived measurement. But contrary to the conventional Kalman filter algorithm, we have no information of the transition matrix and hence we relate t…

0209 industrial biotechnologyMean squared errorIterative methodComputer scienceStochastic matrixInference020206 networking & telecommunications02 engineering and technologyKalman filterTopology020901 industrial engineering & automationSignal recovery0202 electrical engineering electronic engineering information engineeringGraph (abstract data type)Topological graph theory2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP)
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