Search results for "TK"

showing 10 items of 6610 documents

Flow Control of Fluid in Pipelines Using PID Controller

2019

In this paper, a PID controller is utilized in order to control the flow rate of the heavy oil in pipelines by controlling the vibration in a motor pump. A torsional actuator is placed on the motor pump in order to control the vibration on a motor and consequently controlling the flow rates in pipelines. The necessary conditions for the asymptotic stability of the proposed controller are validated by implementing the Lyapunov stability theorem. The theoretical concepts are validated utilizing numerical simulations and analysis, which proves the effectiveness of the PID controller in the control of flow rates in pipelines.

0209 industrial biotechnologyGeneral Computer ScienceComputer sciencePID controllercontrol engineeringfeedback02 engineering and technology01 natural sciencesFeedback010305 fluids & plasmas020901 industrial engineering & automationExponential stabilityControl theoryFluid flow controlPID control0103 physical sciencesGeneral Materials Science/dk/atira/pure/subjectarea/asjc/1700VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Lyapunov stabilityControl engineeringComputingGeneral EngineeringTorsion (mechanics)Volumetric flow ratePipeline transportVibrationFlow control (fluid)lcsh:Electrical engineering. Electronics. Nuclear engineeringActuator/dk/atira/pure/core/subjects/computinglcsh:TK1-9971Computer Science(all)Numerical stabilityIEEE Access
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Health Indicator for Low-Speed Axial Bearings Using Variational Autoencoders

2020

This paper proposes a method for calculating a health indicator (HI) for low-speed axial rolling element bearing (REB) health assessment by utilizing the latent representation obtained by variational inference using Variational Autoencoders (VAEs), trained on each speed reference in the dataset. Further, versatility is added by conditioning on the speed, extending the VAE to a conditional VAE (CVAE), thereby incorporating all speeds in a single model. Within the framework, the coefficients of autoregressive (AR) models are used as features. The dimensionality reduction inherent in the proposed method lowers the need of expert knowledge to design good condition indicators. Moreover, the sugg…

0209 industrial biotechnologyGeneral Computer Sciencegenerative modelsComputer sciencecondition monitoring02 engineering and technologyLatent variableunsupervised learningFault detection and isolationBearing fault detection020901 industrial engineering & automationVDP::Teknologi: 500::Maskinfag: 5700202 electrical engineering electronic engineering information engineeringGeneral Materials Sciencevariational autoencoderconditional variational autoencoderbusiness.industryDimensionality reduction020208 electrical & electronic engineeringGeneral EngineeringPattern recognitionData pointAutoregressive modelRolling-element bearingFalse alarmArtificial intelligencelcsh:Electrical engineering. Electronics. Nuclear engineeringbusinesslcsh:TK1-9971IEEE Access
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Ultrasonic phased array inspection of a Wire + Arc Additive Manufactured (WAAM) sample with intentionally embedded defects

2019

In this study, Wire + Arc Additive Manufacture (WAAM) was employed to manufacture a steel specimen with intentionally embedded defects which were subsequently used for calibration of an ultrasonic phased array system and defect sizing. An ABB robot was combined with the Cold Metal Transfer (CMT) Gas Metal Arc (GMA) process to deposit 20 layers of mild steel. Tungsten-carbide balls (ø1-3 mm) were intentionally embedded inside the additive structure after the 4th, 8th, 12th and 18th layers to serve as ultrasonic reflectors, simulating defects within the WAAM sample. An ultrasonic phased array system, consisting of a 5 MHz 64 Element phased array transducer, was used to inspect the WAAM sample…

0209 industrial biotechnologyIntentionally embedded defects Total focusing method (TFM) Ultrasonic phased array Wire + Arc Additive Manufacture (WAAM)Materials sciencePhased arrayAcousticsTKUltrasonic testingBiomedical EngineeringProcess (computing)02 engineering and technology021001 nanoscience & nanotechnologySample (graphics)Industrial and Manufacturing EngineeringSettore ING-IND/14 - Progettazione Meccanica E Costruzione Di Macchinechemistry.chemical_compound020901 industrial engineering & automationchemistryTungsten carbideCalibrationGeneral Materials ScienceUltrasonic sensor0210 nano-technologyMetal transferEngineering (miscellaneous)
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A novel clustering-based algorithm for solving spatially-constrained robotic task sequencing problems

2021

The robotic task sequencing problem (RTSP) appears in various forms across many industrial applications and consists of developing an optimal sequence of motions to visit a set of target points defined in a task space. Developing solutions to problems involving complex spatial constraints remains challenging due to the existence of multiple inverse kinematic solutions and the requirements for collision avoidance. So far existing studies have been limited to relaxed RTSPs involving a small number of target points and relatively uncluttered environments. When extending existing methods to problems involving greater spatial constraints and large sets of target points, they either require subst…

0209 industrial biotechnologyKinematicsClustering algorithmsService robotsComputer scienceTKComputation02 engineering and technologyKinematicsTask (project management)Reduction (complexity)Set (abstract data type)Settore ING-IND/14 - Progettazione Meccanica E Costruzione Di Macchine020901 industrial engineering & automationoptimal planningSequential analysisRobotic task sequencingElectrical and Electronic EngineeringCluster analysisSequenceCollision avoidanceComputer Science ApplicationsControl and Systems EngineeringmanipulationTask analysisAutonomous inspectionTask analysisAlgorithmIEEE/ASME Transactions on Mechatronics
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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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Experimental Research on the Cutting of Metal Materials by Electrical Discharge Machining with Contact Breaking with Metal Band as Transfer Object

2020

The scientific paper presents practical research carried out by a mixed team of Romanian researchers from universities and the business environment. The research consists in applying the process of cutting metallic materials through electrical discharge machining with contact breaking using a metal band as a transfer object. The research was implemented with the help of a specially designed installation in the laboratory and subsequently all the necessary steps were taken to obtain the patent for it. Various metallic materials were cut using this process, but first of all, high alloy steels. In the global research conducted by the authors, active experimental programs and classic experiment…

0209 industrial biotechnologyProcess modelingComputer scienceMechanical engineering02 engineering and technologylcsh:TechnologyArticle020901 industrial engineering & automationElectrical discharge machiningMetallic materialsprocess modelingGeneral Materials SciencePoint (geometry)lcsh:Microscopycentral composite designcuttinglcsh:QC120-168.85lcsh:QH201-278.5lcsh:Telectrical discharge machining with contact breakingProcess (computing)021001 nanoscience & nanotechnologyObject (computer science)Experimental researchBusiness environmentlcsh:TA1-2040metal bandobjective functionslcsh:Descriptive and experimental mechanicslcsh:Electrical engineering. Electronics. Nuclear engineeringlcsh:Engineering (General). Civil engineering (General)0210 nano-technologylcsh:TK1-9971Materials
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Assessing the accuracy of industrial robots through metrology for the enhancement of automated non-destructive testing

2016

This work presents the study of the accuracy of an industrial robot KR5 arc HW, used to perform quality inspections of components with complex shapes. Metrology techniques such as laser tracking and large volume photogrammetry were deployed to quantify both pose and dynamic path accuracies of the robot in accordance with ISO 9283:1998. The overall positioning pose inaccuracy of the robot is found to be almost 1 mm and path inaccuracy at 100% of the robot rated velocity is 4.5 mm. The maximum pose orientation inaccuracy is found to be 14 degrees and the maximum path orientation inaccuracy is 5 degrees. Despite of the significant maximum inaccuracies, uncertainty of a robotic scanning applica…

0209 industrial biotechnologyRobot kinematicsRobot calibrationComputer sciencebusiness.industryTKRobotic Non-Destructive Testing0206 medical engineeringRobotics02 engineering and technologyRobot end effector020601 biomedical engineeringlaw.inventionIndustrial robot020901 industrial engineering & automationPhotogrammetrylawRobotComputer visionArtificial intelligencebusinessSimulationEnvelope (motion)
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Fast ultrasonic phased array inspection of complex geometries delivered through robotic manipulators and high speed data acquisition instrumentation

2016

Performance of modern robotic manipulators has enabled research and development of fast automated non-destructive testing (NDT) systems for complex geometries. This paper presents recent outcomes of work aimed at removing the bottleneck due to data acquisition rates, to fully exploit the scanning speed of modern 6-DoF manipulators. State of the art ultrasonic instrumentation has been integrated into a large robot cell to enable fast data acquisition, high scan resolutions and accurate positional encoding. A fibre optic connection between the ultrasonic instrument and the server computer enables data transfer rates up to 1.6GB/s. Multiple data collection methods are compared. Performance of …

0209 industrial biotechnologybusiness.industryPhased arrayComputer scienceTKFrame (networking)Electrical engineering02 engineering and technology01 natural sciencesPhased array ultrasonics020901 industrial engineering & automationData acquisitionLinear ScanNondestructive testingPhased array0103 physical sciencesFMCUltrasonic sensorInstrumentation (computer programming)CFRPbusiness010301 acousticsRobotic NDTComputer hardwareData transmission
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DESDEO: The Modular and Open Source Framework for Interactive Multiobjective Optimization

2021

Interactive multiobjective optimization methods incorporate preferences from a human decision maker in the optimization process iteratively. This allows the decision maker to focus on a subset of solutions, learn about the underlying trade-offs among the conflicting objective functions in the problem and adjust preferences during the solution process. Incorporating preference information allows computing only solutions that are interesting to the decision maker, decreasing computation time significantly. Thus, interactive methods have many strengths making them viable for various applications. However, there is a lack of existing software frameworks to apply and experiment with interactive …

0209 industrial biotechnologylineaarinen optimointiPareto optimizationGeneral Computer Sciencemulti-criteria decision makingComputer sciencepäätöksentekoevoluutiolaskenta02 engineering and technologyData-driven multiobjective optimizationcomputer.software_genrenonlinear optimizationMulti-objective optimizationData modelingopen source softwareavoin lähdekoodi020901 industrial engineering & automationSoftwareoptimointi0202 electrical engineering electronic engineering information engineeringGeneral Materials ScienceUse casecomputer.programming_languageGraphical user interfacepareto-tehokkuusbusiness.industryGeneral Engineeringinteractive methodsModular designPython (programming language)monitavoiteoptimointiTK1-9971Software frameworkdata-driven multiobjective optimizationevolutionary computation020201 artificial intelligence & image processingElectrical engineering. Electronics. Nuclear engineeringbusinessSoftware engineeringcomputerIEEE Access
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Do Randomized Algorithms Improve the Efficiency of Minimal Learning Machine?

2020

Minimal Learning Machine (MLM) is a recently popularized supervised learning method, which is composed of distance-regression and multilateration steps. The computational complexity of MLM is dominated by the solution of an ordinary least-squares problem. Several different solvers can be applied to the resulting linear problem. In this paper, a thorough comparison of possible and recently proposed, especially randomized, algorithms is carried out for this problem with a representative set of regression datasets. In addition, we compare MLM with shallow and deep feedforward neural network models and study the effects of the number of observations and the number of features with a special dat…

0209 industrial biotechnologyrandom projectionlcsh:Computer engineering. Computer hardwareComputational complexity theoryComputer scienceRandom projectionlcsh:TK7885-789502 engineering and technologyMachine learningcomputer.software_genresupervised learningapproximate algorithmsSet (abstract data type)regressioanalyysi020901 industrial engineering & automationdistance–based regressionalgoritmit0202 electrical engineering electronic engineering information engineeringordinary least–squaresbusiness.industrySupervised learningsingular value decompositionminimal learning machineMultilaterationprojektioRandomized algorithmkoneoppiminenmachine learningScalabilityFeedforward neural network020201 artificial intelligence & image processingArtificial intelligenceapproksimointibusinesscomputerMachine Learning and Knowledge Extraction
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