Search results for "202"

showing 10 items of 5810 documents

Design of parallel compensator and stabilizing controller to mitigate non-minimum phase behaviour of the Czochralski Process

2020

Abstract This paper addresses the design of a parallel compensator and a stabilizing controller for the simplified crystal growth dynamics of the Czochralski (CZ) process, i.e., the process for the production of monocrystalline silicon ingots of uniform diameter. The diameter control of the produced ingots is achieved by a CCD camera measurement used to sense the radius of the boundary between the base of the growing crystal and the surrounding glowing meniscus — a raised melt surface connecting the crystal ingot with the flatter melt surface. Due to the intrinsic nature of the process, the bright ring radius measurement signal exhibits a non-minimum phase behaviour. A combination of the pa…

0209 industrial biotechnologyMaterials science020208 electrical & electronic engineeringPhase (waves)Crystal growth02 engineering and technologyMechanicsRadiuslaw.inventionMonocrystalline siliconCrystal020901 industrial engineering & automationControl and Systems Engineeringlaw0202 electrical engineering electronic engineering information engineeringMeniscusIngotCzochralski processIFAC-PapersOnLine
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Numerical Study about the Influence of Wall Angle about Main Strains, Thickness Reduction and Forces on Single Point Incremental Forming Process

2016

Abstract The current paper aims to study, using numerical simulation, the influence of the wall angle on the single point incremental forming process. For the analysis there has been used the LS-Dyna software and three explicit dynamic analyses were run for three parts with wall angles of 450, 550 and 650. The factors taken into account are the main strains, the thickness reduction and the forces on three directions. The material data introduced into the simulation were determined based on an uniaxial traction test on an Instron 5587 testing machine and the Aramis system was used as optical extensometer.

0209 industrial biotechnologyMaterials scienceComputer simulationbusiness.industryForming processes020207 software engineering02 engineering and technologyGeneral MedicineStructural engineeringAutomationReduction (complexity)020901 industrial engineering & automationExplicit analysis0202 electrical engineering electronic engineering information engineeringSingle pointbusinessACTA Universitatis Cibiniensis
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Innovative method to estimate state of charge of the hydride hydrogen tank: application of fuel cell electric vehicles

2021

International audience; Significant attention has been paid to metal hydrides (MH) as an environmentally friendly and safe way to store hydrogen. This technology has considerable potential for the application of embedded hydrogen storage in fuel cell electric vehicles, but its widespread application faces a major problem in terms of estimating the remaining hydrogen amount in the tank. In this work, a new method is proposed for estimating the state of charge (SoC) of the hydrogen hydride tank (HHT) by application of piezoelectric material. The idea is to cover the entire inner wall of the metal-hydride tank with a layer of piezoelectric material. During the process of hydrogen absorption, t…

0209 industrial biotechnologyMaterials scienceHydrogen020209 energychemistry.chemical_element02 engineering and technologyHydrogen tank7. Clean energy[SPI.MAT]Engineering Sciences [physics]/Materials[SPI.AUTO]Engineering Sciences [physics]/AutomaticMetal020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineering[PHYS.MECA.MEFL]Physics [physics]/Mechanics [physics]/Fluid mechanics [physics.class-ph]Electrical and Electronic Engineering[SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics[SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph]Waste managementHydride[SPI.NRJ]Engineering Sciences [physics]/Electric powerPiezoelectricityEnvironmentally friendlyState of chargechemistryHardware and ArchitectureMechanics of MaterialsModeling and Simulationvisual_artvisual_art.visual_art_medium[PHYS.MECA.THER]Physics [physics]/Mechanics [physics]/Thermics [physics.class-ph]Fuel cellsSoftware
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Considerations Regarding the Industrial Implementation of Incremental Forming Process

2019

Incremental forming is a promising manufacturing process which allow the user to obtain sheet metal parts, in a flexible manner, without the use of a die. However, the industry is still reluctant to apply the process on an industrial scale. Several drawbacks of the process which hinder its industrial implementation are reviewed in the paper. Among them, the low accuracy of the parts and the low productivity of the process are considered. The lack of dedicated technological equipment and specific CAM software tools are also seen as major drawbacks. Moreover, the lack of any analytical tools to predict the plastic behaviour of the processed part and to predict the moment when it loses its int…

0209 industrial biotechnologyMaterials scienceMechanical EngineeringForming processes020207 software engineering02 engineering and technologyCondensed Matter PhysicsFuzzy logicManufacturing engineering020901 industrial engineering & automationMechanics of Materials0202 electrical engineering electronic engineering information engineeringGeneral Materials ScienceProductivityMaterials Science Forum
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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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The Effect of Baffles on Heat Transfer

2019

For a long time technicians and engineers have used geometric changes of objects for the purpose of enhancement of heat transfer. The discovery and use of nanofluids and their unique properties lead to a new revolution on the heat transfer. This paper presents the simulation of Ansis software applied to the flow tube with a constant flux, also studies the effect of baffles and the use of nano particles on heat transfer.

0209 industrial biotechnologyMaterials sciencebusiness.industry020208 electrical & electronic engineeringBaffle02 engineering and technologyMechanicsComputational fluid dynamics020901 industrial engineering & automationNanofluidFlow tubeHeat transfer0202 electrical engineering electronic engineering information engineeringbusinessProceedings of the 16th International Conference on Informatics in Control, Automation and Robotics
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Forecasting portfolio returns using weighted fuzzy time series methods

2016

We propose using weighted fuzzy time series (FTS) methods to forecast the future performance of returns on portfolios. We model the uncertain parameters of the fuzzy portfolio selection models using a possibilistic interval-valued mean approach, and approximate the uncertain future return on a given portfolio by means of a trapezoidal fuzzy number. Introducing some modifications into the classical models of fuzzy time series, based on weighted operators, enables us to generate trapezoidal numbers as forecasts of the future performance of the portfolio returns. This fuzzy forecast makes it possible to approximate both the expected return and the risk of the investment through the value and a…

0209 industrial biotechnologyMathematical optimizationActuarial scienceSeries (mathematics)Mathematics::General MathematicsComputer scienceApplied MathematicsFuzzy set02 engineering and technologyFuzzy logicDefuzzificationTheoretical Computer Science020901 industrial engineering & automationArtificial Intelligence0202 electrical engineering electronic engineering information engineeringExpected returnPortfolioFuzzy number020201 artificial intelligence & image processingPortfolio optimizationSoftwareInternational Journal of Approximate Reasoning
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Optimal control of discrete-time interval type-2 fuzzy-model-based systems with D-stability constraint and control saturation

2016

This paper investigates the optimal control problem for discrete-time interval type-2 (IT2) fuzzy systems with pole constraints. An IT2 fuzzy controller is characterized by two predefined functions, and the membership functions and the premise rules of the IT2 fuzzy controller can be chosen freely. The pole assignment is considered, which is constrained in a presented disk region. Based on Lyapunov stability theory, sufficient conditions of asymptotic stability with an H ∞ performance are obtained for the discrete-time IT2 fuzzy model based (FMB) system. Based on the criterion, the desired IT2 state-feedback controller is designed to guarantee that the closed-loop system is asymptotically s…

0209 industrial biotechnologyMathematical optimizationAdaptive neuro fuzzy inference system02 engineering and technologyFuzzy control systemOptimal controlDefuzzificationFuzzy logic020901 industrial engineering & automationControl and Systems EngineeringControl theorySignal Processing0202 electrical engineering electronic engineering information engineeringFuzzy set operationsFuzzy number020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionElectrical and Electronic EngineeringSoftwareMathematicsSignal Processing
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Modeling and control of uncertain nonlinear systems

2018

A survey of the methodologies associated with the modeling and control of uncertain nonlinear systems has been given due importance in this paper. The basic criteria that highlights the work is relied on the various patterns of techniques incorporated for the solutions of fuzzy equations that corresponds to fuzzy controllability subject. The solutions which are generated by these equations are considered to be the controllers. Currently, numerical techniques have come out as superior techniques in order to solve these types of problems. The implementation of neural networks technique is contributed in the complex way of dealing the appropriate coefficients and solutions of the fuzzy systems.

0209 industrial biotechnologyMathematical optimizationArtificial neural networkComputer scienceComputingUncertain systemsComputational mathematics02 engineering and technologyFuzzy control systemFuzzy logicControllabilitymodellingNonlinear system020901 industrial engineering & automationuncertain systems0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingfuzzy equationsnonlinear systemsControl (linguistics)control/dk/atira/pure/subjectarea/asjc/1700/dk/atira/pure/core/subjects/computingComputer Science(all)
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Bio-inspired evolutionary dynamics on complex networks under uncertain cross-inhibitory signals

2019

Given a large population of agents, each agent has three possiblechoices between option 1 or 2 or no option. The two options are equally favorable and the population has to reach consensus on one of the two options quickly and in a distributed way. The more popular an option is, the more likely it is to be chosen by uncommitted agents. Agents committed to one option can be attracted by those committed to the other option through a cross-inhibitory signal. This model originates in the context of honeybee swarms, and we generalize it to duopolistic competition and opinion dynamics. The contributions of this work include (i) the formulation of a model to explain the behavioral traits of the ho…

0209 industrial biotechnologyMathematical optimizationCollective behaviorAsymptotic stabilityComputer sciencePopulationContext (language use)02 engineering and technologyMachine learningcomputer.software_genreNetwork topologyCompetition (economics)020901 industrial engineering & automationNonlinear systems0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringEvolutionary dynamicseducationAbsolute stabilityeducation.field_of_studybusiness.industry020208 electrical & electronic engineeringAgentsDeadlock (game theory)Complex networkNetwork topologiesControl and Systems EngineeringArtificial intelligencebusinessDecision makingcomputerAutomatica
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