Search results for "Mechanical engineering"

showing 10 items of 4245 documents

Mathematical Modeling, Analysis, and Advanced Control of Complex Dynamical Systems

2014

1 School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, SA 5005, Australia 2 Department of Engineering, Faculty of Technology and Science, University of Agder, 4898 Grimstad, Norway 3 College of Automation, Chongqing University, Chongqing 400044, China 4 School of Control Science and Engineering, Shandong University, Jinan 250061, China 5 College of Automation, Harbin Engineering University, Harbin 150001, China

Article SubjectDynamical systems theorybusiness.industryComputer sciencelcsh:MathematicsGeneral MathematicsVDP::Technology: 500::Mechanical engineering: 570Control (management)General Engineeringlcsh:QA1-939AutomationEngineering managementEngineering (all)lcsh:TA1-2040Mathematics (all)Applied mathematicslcsh:Engineering (General). Civil engineering (General)ChinabusinessMathematics (all); Engineering (all)Mathematical Problems in Engineering
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Switched dynamics with its applications

2014

Published version of an article in the journal: Abstract and Applied Analysis. Also available from the publisher at: http://dx.doi.org/10.1155/2014/528532

Article SubjectDynamics (music)lcsh:MathematicsApplied MathematicsVDP::Technology: 500::Mechanical engineering: 570Control engineeringAnalysis; Applied Mathematicslcsh:QA1-939AnalysisMathematics
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Multilanguage Semantic Interoperability in Distributed Applications

2013

JOSI is a software framework that tries to simplify the development of such kinds of applications both by providing the possibility of working on models for representing such semantic information and by offering some implementations of such models that can be easily used by software developers without any knowledge about semantic models and languages. This software library allows the representation of domain models through Java interfaces and annotations and then to use such a representation for automatically generating an implementation of domain models in different programming languages (currently Java and C++). Moreover, JOSI supports the interoperability with other applications both by …

Article SubjectJavaProgramming languageComputer sciencebusiness.industryMechanical EngineeringGeneral Chemical EngineeringRepresentation (arts)Domain modelSemantic interoperabilitycomputer.software_genreIndustrial and Manufacturing EngineeringSoftware frameworkSoftwareHardware and Architecturelcsh:TA1-2040Domain analysisElectrical and Electronic Engineeringbusinesslcsh:Engineering (General). Civil engineering (General)computerImplementationCivil and Structural Engineeringcomputer.programming_languageJournal of Engineering
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Advanced Control and Optimization with Applications to Complex Automotive Systems

2014

Published version of an article in the journal: Mathematical Problems in Engineering. Also available from the publisher at: http://10.1155/2014/183580

Article SubjectOperations researchComputer sciencelcsh:MathematicsGeneral MathematicsVDP::Technology: 500::Mechanical engineering: 570Control (management)General Engineeringlcsh:QA1-939Engineering (all)Automotive systemslcsh:TA1-2040Systems engineeringMathematics (all)lcsh:Engineering (General). Civil engineering (General)Mathematics (all); Engineering (all)Mathematical Problems in Engineering
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New Twists of 3D Chiral Metamaterials

2018

Rationally designed artificial materials, called metamaterials, allow for tailoring effective material properties beyond ("meta") the properties of their bulk ingredient materials. This statement is especially true for chiral metamaterials, as unlocking certain degrees of freedom necessarily requires broken centrosymmetry. While the field of chiral electromagnetic/optical metamaterials has become rather mature, the field of elastic/mechanical metamaterials is just emerging and wide open. This research news reviews recent theoretical and experimental progress concerning 3D chiral mechanical and optical metamaterials, with special emphasis on work performed at KIT.

Artificial materialsMaterials scienceField (physics)Mechanical EngineeringPhysics::OpticsMetamaterial02 engineering and technologyDegrees of freedom (mechanics)Physics::Classical Physics010402 general chemistry021001 nanoscience & nanotechnologyCentrosymmetry01 natural sciences0104 chemical sciencesDuality (electricity and magnetism)Photonic metamaterialTheoretical physicsMechanics of MaterialsGeneral Materials ScienceBulk ingredient0210 nano-technologyAdvanced Materials
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Prediction of surface treatment effects on the tribological performance of tool steels using artificial neural networks

2019

The present paper discussed the development of a reliable and robust artificial neural network (ANN) capable of predicting the tribological performance of three highly alloyed tool steel grades. Experimental results were obtained by performing plane-contact sliding tests under non-lubrication conditions on a pin-on-disk tribometer. The specimens were tested both in untreated state with different hardening levels, and after surface treatment of nitrocarburizing. We concluded that wear maps via ANN modeling were a user-friendly approach for the presentation of wear-related information, since they easily permitted the determination of areas under steady-state wear that were appropriate for use…

Artificial neural networkComputer science0211 other engineering and technologiesMechanical engineering02 engineering and technologyengineering.materiallcsh:Technologylcsh:ChemistrySoft computing technique0202 electrical engineering electronic engineering information engineeringGeneral Materials Sciencesoft computing techniquesInstrumentationlcsh:QH301-705.5021101 geological & geomatics engineeringFluid Flow and Transfer ProcessesArtificial neural networklcsh:TProcess Chemistry and Technologyartificial intelligence techniquesGeneral EngineeringArtificial intelligence techniqueTribologyTribological performancelcsh:QC1-999Computer Science Applicationslcsh:Biology (General)lcsh:QD1-999lcsh:TA1-2040Tool steelengineering020201 artificial intelligence & image processinglcsh:Engineering (General). Civil engineering (General)artificial neural networkslcsh:PhysicsTribometerHardening (computing)
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Application of optimized artificial intelligence algorithm to evaluate the heating energy demand of non-residential buildings at European level

2019

Abstract A reliable preliminary forecast of heating energy demand of a building by using a detailed dynamic simulation software typically requires an in-depth knowledge of the thermal balance, several input data and a very skilled user. The authors will describe how to use Artificial Neural Networks to predict the demand for thermal energy linked to the winter climatization of non-residential buildings. To train the neural network it was necessary to develop an accurate energy database that represents the basis of the training of a specific Artificial Neural Networks. Data came from detailed dynamic simulations performed in the TRNSYS environment. The models were built according to the stan…

Artificial neural networkDecision support toolComputer science020209 energyReliability (computer networking)02 engineering and technologyTRNSYSStandard deviationIndustrial and Manufacturing EngineeringBuilding simulationSoftware020401 chemical engineering0202 electrical engineering electronic engineering information engineering0204 chemical engineeringElectrical and Electronic EngineeringLearning algorithmThermal balanceCivil and Structural EngineeringSettore ING-IND/11 - Fisica Tecnica AmbientaleArtificial neural networkbusiness.industryMechanical EngineeringBuilding and ConstructionIndustrial engineeringPollutionDynamic simulationGeneral EnergyHigh energy performancebusinessEnergy (signal processing)Thermal energy
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Multiple criteria assessment of methods for forecasting building thermal energy demand

2020

Abstract Nowadays worldwide directives have focused the attention on improving energy efficiency in the building sector. The research of models able to predict the energy consumption from the first design and energy planning phase is conducted to improve building sustainability. Use of traditional forecasting tools for building thermal energy demand tends to encounter difficulties relevant to the amount of data required, implementation of the models, computational costs and inability to generalize the output. Therefore, many studies focused on the research and development of alternative resolution methods, but the choice of the most convenient is not clear and simple. Single comparison of s…

Artificial neural networkOperations researchComputer science020209 energy0211 other engineering and technologiesBuilding thermal energy demandDimensionless analysis02 engineering and technologyMultiple criteria assessmentForecasting method021105 building & construction0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringMultiple linear regressionCivil and Structural EngineeringData collectionbusiness.industryMechanical EngineeringBuilding and ConstructionEnergy consumptionEnergy planningIdentification (information)IncentiveRankingbusinessThermal energyEfficient energy useEnergy and Buildings
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Filter approach to the stochastic analysis of MDOF wind-excited structures

1999

Abstract In this paper, an approach useful for stochastic analysis of the Gaussian and non-Gaussian behavior of the response of multi-degree-of-freedom (MDOF) wind-excited structures is presented. This approach is based on a particular model of the multivariate stochastic wind field based upon a particular diagonalization of the power spectral density (PSD) matrix of the fluctuating part of wind velocity. This diagonalization is performed in the space of eigenvectors and eigenvalues that are called here wind-eigenvalues and wind-eigenvectors, respectively. From the examination of these quantities it can be recognized that the wind-eigenvectors change slowly with frequency while the first wi…

Astrophysics::High Energy Astrophysical PhenomenaGaussianAerospace EngineeringGeometryOcean EngineeringCondensed Matter PhysicWind speedMatrix (mathematics)symbols.namesakePhysics::Atmospheric and Oceanic PhysicsEigenvalues and eigenvectorsMathematicsCivil and Structural EngineeringStochastic processMechanical EngineeringMathematical analysisSpectral densityStatistical and Nonlinear PhysicsFilter (signal processing)White noiseCondensed Matter PhysicsMultivariate stochastic analysis; Filter equations; Wind-excited structuresNuclear Energy and EngineeringPhysics::Space PhysicssymbolsStatistical and Nonlinear Physic
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Design, construction and commissioning of the Braunschweig Icing Wind Tunnel

2018

Beyond its physical importance in both fundamental and climate research, atmospheric icing is considered as a severe operational condition in many engineering applications like aviation, electrical power transmission and wind-energy production. To reproduce such icing conditions in a laboratory environment, icing wind tunnels are frequently used. In this paper, a comprehensive overview on the design, construction and commissioning of the Braunschweig Icing Wind Tunnel is given. The tunnel features a test section of 0.5 m  ×  0.5 m with peak velocities of up to 40 m s−1. The static air temperature ranges from −25 to +30 °C. Supercooled droplet icing with liquid water contents up to 3 g m−3 c…

Atmospheric Science010504 meteorology & atmospheric sciencesMeteorologyMesoscale meteorology02 engineering and technology7. Clean energy01 natural sciencesArticlelaw.inventionPhysics::GeophysicsIcing conditions0203 mechanical engineeringlawddc:6Veröffentlichung der TU Braunschweigicing wind tunnelddc:62lcsh:TA170-171WolkenphysikPhysics::Atmospheric and Oceanic Physics0105 earth and related environmental sciencesIcingWind tunnel[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere020301 aerospace & aeronauticsIce crystalslcsh:TA715-787lcsh:Earthwork. FoundationsCondensed Matter::Mesoscopic Systems and Quantum Hall EffectAtmospheric icinglcsh:Environmental engineeringPhysics::Space PhysicsParticleEnvironmental scienceAstrophysics::Earth and Planetary AstrophysicsCloud chamberddc:620Publikationsfonds der TU BraunschweigMarine engineering
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