Search results for "PARAMETER"

showing 10 items of 14056 documents

On the Heuristic Procedure to Determine Processing Parameters in Additive Manufacturing Based on Materials Extrusion

2020

We present a heuristic procedure for determining key processing parameters (PPs) in materials-extrusion-based additive manufacturing processes. The concept relies on a design-of-experiment approach and consists of eleven &ldquo

0209 industrial biotechnologyFDMPolymers and PlasticsComputer sciencemedia_common.quotation_subjectdesign of experiment3D printingmaterials extrusion02 engineering and technologyRaw materialArticlelcsh:QD241-441020901 industrial engineering & automationlcsh:Organic chemistryCalibration:NATURAL SCIENCES:Physics [Research Subject Categories]Quality (business)Layer (object-oriented design)Process engineeringmedia_commonbusiness.industryDesign of experimentsprocess parametersGeneral Chemistry3D printing021001 nanoscience & nanotechnologyKey (cryptography)Extrusion0210 nano-technologybusinessoptimizationPolymers
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Optimization of Vehicle-to-Vehicle Frontal Crash Model Based on Measured Data Using Genetic Algorithm

2017

In this paper, a mathematical model for vehicle-to-vehicle frontal crash is developed. The experimental data are taken from the National Highway Traffic Safety Administration. To model the crash scenario, the two vehicles are represented by two masses moving in opposite directions. The front structures of the vehicles are modeled by Kelvin elements, consisting of springs and dampers in parallel, and estimated as piecewise linear functions of displacements and velocities, respectively. To estimate and optimize the model parameters, a genetic algorithm approach is proposed. Finally, it is observed that the developed model can accurately reproduce the real kinematic results from the crash test…

0209 industrial biotechnologyGeneral Computer ScienceComputer scienceCrash02 engineering and technologyVehicle-to-vehicleDamperComputer Science::RoboticsEngineering (all)020901 industrial engineering & automation0203 mechanical engineeringControl theoryparameters estimationGenetic algorithmgenetic algorithmGeneral Materials ScienceSimulationvehicle-to-vehicle crashComputer Science (all)ModelingGeneral EngineeringCrash test020303 mechanical engineering & transportsMaterials Science (all)lcsh:Electrical engineering. Electronics. Nuclear engineeringgenetic algorithm; Modeling; parameters estimation; vehicle-to-vehicle crash; Computer Science (all); Materials Science (all); Engineering (all)lcsh:TK1-9971IEEE Access
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Influence of residual stress, surface roughness and crystallographic texture induced by machining on the corrosion behaviour of copper in salt-fog at…

2012

International audience; The influence of quadratic stress, crystallographic texture, lubrication and surface roughness generated by superfinish turning on the corrosion behaviour of pure copper was quantified in salt-fog atmosphere. This was done using statistical analysis (Pearson's correlation matrix). Three compounds were found after corrosion tests: atacamite/paratacamite and a black layer (mixture of the lubricant and the salt atmosphere). Surface characteristics were classified according to their decreasing influence on the formation of atacamite/paratacamite as follows: surface roughness and quadratic stress. Lubrication and the crystallographic texture have the lowest influence on c…

0209 industrial biotechnologyMaterials sciencePREDICTIONGeneral Chemical EngineeringINHIBITIONchemistry.chemical_element02 engineering and technologyengineering.materialPARAMETERSCorrosionStress (mechanics)MEDIA020901 industrial engineering & automationResidual stressSurface roughnessGeneral Materials ScienceTexture (crystalline)MetallurgyGeneral ChemistrySTAINLESS-STEELS021001 nanoscience & nanotechnologyCopperMODELSOILCrystallographychemistryengineeringLubricationAtacamite0210 nano-technologyRESISTANCE
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Ultrasonic Welding of PBT-GF30 (70% Polybutylene Terephthalate + 30% Fiber Glass) and Expanded Polytetrafluoroethylene (e-PTFE)

2021

The ultrasonic welding of polymeric materials is one of the methods often used in practice. However, each couple of material subjected to ultrasonic welding is characterized by different values of technological parameters. Therefore, the main objective of the research presented in this paper is to optimize the parameters for the ultrasonic welding of two materials, namely PBT-GF30 (70% polybutylene terephthalate + 30% fiber glass) and expanded polytetrafluoroethylene (e-PTFE). In this sense, the research was carried out considering a plate-type part made of PBT-GF30, which had a thickness of 2.1 mm, and a membrane-type part made of e-PTFE, with a thickness of 0.3 mm. The condition imposed o…

0209 industrial biotechnologyMaterials sciencePolymers and PlasticsBar (music)PBT-GF30 (70% polybutylene terephthalate + 30% fiber glass)02 engineering and technologyExpanded polytetrafluoroethyleneWeldingArticleultrasonic weldinglaw.inventionlcsh:QD241-441chemistry.chemical_compound020901 industrial engineering & automationlcsh:Organic chemistrylawparameter optimizationComposite materialHolding timeUltrasonic weldingFiber glassGeneral Chemistry021001 nanoscience & nanotechnologyPolybutylene terephthalatechemistry0210 nano-technologyexpanded polytetrafluoroethylene (e-PTFE)Layer (electronics)Polymers
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Effect of position and force tool control in friction stir welding of dissimilar aluminum-steel lap joints for automotive applications

2020

Widespread use of aluminum alloys for the fabrication of car body parts is conditional to the use of appropriate welding methods, especially if dissimilar welding must be performed with automotive steel grades. Friction stir welding (FSW) is considered to be a reasonable solution to obtain sound aluminum-steel joints. In this context, this work studies the effects of tool position and force control in dissimilar friction stir welding of AA6061 aluminum alloy on DC05 low carbon steel in lap joint configuration, also assessing proper welding parameter settings. Naked eye and scanning electron microscopy (SEM) have been used to detect macroscopic and microscopic defects in joints, as well as t…

0209 industrial biotechnologyMaterials sciencePolymers and PlasticsCarbon steelAlloyContext (language use)02 engineering and technologyWeldingengineering.materialIndustrial and Manufacturing Engineeringlaw.invention020901 industrial engineering & automationAA6016 aluminum alloy0203 mechanical engineeringlawFriction stir weldingComposite materialJoint (geology)Tensile testingFriction stir welding (FSW)Mechanical EngineeringDissimilar materialWelding parametersDissimilar materialsAA6016 aluminum alloy; DC05 low carbon steel; Dissimilar materials; Friction stir welding (FSW); Welding parameters020303 mechanical engineering & transportsLap jointMechanics of MaterialsDC05 low carbon steelengineering
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Pipeline Monitoring Architecture Based on Observability and Controllability Analysis

2019

Recently many techniques with different applicability have been developed for damage detection in the pipeline. The pipeline system is designed as a distributed parameter system, where the state space of the distributed parameter system has infinite dimension. This paper is dedicated to the problem of observability as well as controllability analysis in the pipeline systems. Some theorems are presented in order to test the observability and controllability of the system. Computing the rank of the controllability and observability matrix is carried out using Matlab.

0209 industrial biotechnologyRank (linear algebra)Computer sciencePipeline (computing)020208 electrical & electronic engineering02 engineering and technologyPipeline transportControllability020901 industrial engineering & automationControl theoryDistributed parameter system0202 electrical engineering electronic engineering information engineeringState spaceObservabilityMATLABcomputercomputer.programming_language2019 IEEE International Conference on Mechatronics (ICM)
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Adjusted bat algorithm for tuning of support vector machine parameters

2016

Support vector machines are powerful and often used technique of supervised learning applied to classification. Quality of the constructed classifier can be improved by appropriate selection of the learning parameters. These parameters are often tuned using grid search with relatively large step. This optimization process can be done computationally more efficiently and more precisely using stochastic search metaheuristics. In this paper we propose adjusted bat algorithm for support vector machines parameter optimization and show that compared to the grid search it leads to a better classifier. We tested our approach on standard set of benchmark data sets from UCI machine learning repositor…

0209 industrial biotechnologyWake-sleep algorithmActive learning (machine learning)Computer scienceStability (learning theory)Linear classifier02 engineering and technologySemi-supervised learningcomputer.software_genreCross-validationRelevance vector machineKernel (linear algebra)020901 industrial engineering & automationLeast squares support vector machine0202 electrical engineering electronic engineering information engineeringMetaheuristicBat algorithmStructured support vector machinebusiness.industrySupervised learningOnline machine learningParticle swarm optimizationPattern recognitionPerceptronGeneralization errorSupport vector machineKernel methodComputational learning theoryMargin classifierHyperparameter optimization020201 artificial intelligence & image processingData miningArtificial intelligenceHyper-heuristicbusinesscomputer2016 IEEE Congress on Evolutionary Computation (CEC)
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Comparison of fully non-stationary artificial accelerogram generation methods in reproducing seismicity at a given site

2020

Abstract Seismic input modelling is a crucial step when Non-Linear Time-History Analyses (NLTHAs) are performed, the seismic response of structures being highly responsive to the input employed. When natural accelerograms able to represent local seismicity are not available, the use of generated accelerograms is an efficient solution for input modelling. The aim of the present paper is to compare four methods for generating fully non-stationary artificial accelerograms on the basis of a target spectrum, identified using seven recorded accelerograms registered in the neighbourhood of the construction site during a single event, assumed as target accelerograms. For each method, seven accelero…

0211 other engineering and technologiesSoil Science020101 civil engineeringSpectrum-compatible02 engineering and technologyInduced seismicity0201 civil engineeringSet (abstract data type)Intensity measure parametermedicinePoint (geometry)Seismic site characteristic021101 geological & geomatics engineeringCivil and Structural EngineeringEvent (probability theory)Basis (linear algebra)business.industryFully non-stationaryStiffnessStructural engineeringGeotechnical Engineering and Engineering GeologySettore ICAR/09 - Tecnica Delle CostruzioniArtificial accelerogrammedicine.symptombusinessEnergy (signal processing)GeologySoil Dynamics and Earthquake Engineering
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Watermarking for ontologies

2011

In this paper, we study watermarking methods to prove the ownership of an ontology. Different from existing approaches, we propose to watermark not by altering existing statements, but by removing them. Thereby, our approach does not introduce false statements into the ontology. We show how ownership of ontologies can be established with provably tight probability bounds, even if only parts of the ontology are being re-used. We finally demonstrate the viability of our approach on real-world ontologies.

021110 strategic defence & security studiesInformation retrievalOpen worldComputer scienceOntology-based data integrationProcess ontologyData_MISCELLANEOUS0211 other engineering and technologiesWatermark02 engineering and technologyOntology (information science)computer.software_genre020204 information systems0202 electrical engineering electronic engineering information engineeringData miningDigital watermarkingSecurity parametercomputerISWC 2011: Proceedings of the 10th International Semantic Web Conference
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BIOAEROSOL

2017

Cultural heritage constitutive materials can provide excellent substrates for microbial colonisation, highly influenced by thermo-hygrometric parameters. In cultural heritage-related environments, a detrimental microbial load may be present both on manufact surface and in the aerosol. Confined environments (museums, archives, deposits, caves, hypogea) have peculiar structures and dif- ferent thermo-hygrometric parameters, influencing the development of a wide range of microbial species, able to induce artefact biodeterioration and to release biological particles in the aerosol (spores, cellular debrides, toxins, allergens) potentially dangerous for the human health (visitors/users). In orde…

0301 basic medicine03 medical and health sciencesmicroorganisms sampling030104 developmental biology010504 meteorology & atmospheric sciencesIndoor environments Airborne particles Human Health Biochemical/Biomuoecular techniquesSettore BIO/03 - Botanica Ambientale E Applicatacultural heritagebiochemical and biomolecular techniques01 natural sciencesthermohigrometric parameters0105 earth and related environmental sciences
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