Search results for "infrared thermography"

showing 10 items of 33 documents

Using infrared thermography in order to compare laser and hybrid (laser plus MIG) welding processes

2009

International audience; In order to deepen the understanding of the differences between laser and laser-arc hybrid welding, comparisons were undertaken using thermography. The experiments were carried out for a T assembly of aluminium alloy plates. Modelling, based on the finite element method approach, was realized using IR temperature measurements and seam geometry. For a value of the power supply, depicted as a surface source in the hybrid case, agreement was found between simulated and measured temperatures. The arc power supply efficiency value is similar to the usually used value.

0209 industrial biotechnologyMaterials science02 engineering and technologyWelding7. Clean energyTemperature measurementlaw.inventionGas metal arc welding020901 industrial engineering & automationOptics0203 mechanical engineeringlawAluminium alloyElectrical and Electronic Engineeringbusiness.industryLaser beam welding[CHIM.MATE]Chemical Sciences/Material chemistryLaserAtomic and Molecular Physics and OpticsFinite element methodElectronic Optical and Magnetic Materials020303 mechanical engineering & transportsvisual_artThermal modelling[ CHIM.MATE ] Chemical Sciences/Material chemistryThermographyvisual_art.visual_art_mediumInfrared thermographyLaser weldingbusiness
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Relationship between Skin Temperature, Electrical Manifestations of Muscle Fatigue, and Exercise-Induced Delayed Onset Muscle Soreness for Dynamic Co…

2020

Delayed onset muscle soreness (DOMS) indicates the presence of muscle damage and impairs force production and control. Monitorization of DOMS is useful to improving recovery intervention plans. The magnitude of DOMS may relate to muscle fatigue, which can be monitored by surface electromyography (EMG). Additionally, growing interest has been expressed in determining whether the skin temperature over a muscle group during exercise to fatigue could be a non-invasive marker for DOMS. Here we determine whether skin temperature and manifestations of muscle fatigue during exercise are correlated and can predict DOMS after concentric&ndash

AdultMalemedicine.medical_specialtyDynamic contractionselectromyographyHealth Toxicology and Mutagenesislcsh:MedicinePhysical exerciseExerciciElectromyographyBicepsArticle03 medical and health sciencesYoung AdultTemperatura corporal0302 clinical medicinePhysical medicine and rehabilitationphysical exerciseDelayed onset muscle sorenessmedicineHumansMuscle SkeletalExerciseMuscle fatiguemedicine.diagnostic_testbusiness.industrylcsh:RPublic Health Environmental and Occupational Healthexercise recoverySkin temperatureMuscle activationbiceps brachialisBayes Theorem030229 sport sciencesMyalgiaCross-Sectional Studiesinfrared thermographyMuscle Fatiguemedicine.symptombusinessSkin Temperature030217 neurology & neurosurgery
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Seismic and non‐invasive geophysical surveys for the renovation project of Branciforte Palace in Palermo

2020

The renovation project of the historic Branciforte Palace (16th–17th century) in Palermo (Italy) was owned by the Banco di Sicilia Foundation, with the aim for it to become a multi-purpose centre for the promotion of exhibitions and cultural events. In the context of the restoration work, a multi-methodological and non-invasive geophysical study has been carried out. The seismic characterization of the foundation soils was obtained by means of joint interpretations of a vertical seismic profile (VSP), multichannel analysis of surface waves (MASW) and horizontal to vertical spectral ratio (HVSR) microtremor analysis. The mutually constrained inversion of seismic surveys carried out with diff…

ArcheologyHistorySettore GEO/11 - Geofisica ApplicataNon invasiveGround-penetrating radarUltrasonic TomographyGeophysicsElectrical resistivity tomographyelectrical resistivity tomography ground penetrating radar infrared thermography noninvasive seismic ultrasonic tomographyGeology
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Joint Investigation with Ground Penetrating Radar and Infrared Thermography as a Diagnostic Support for the Restoration of Two Wall Mosaics in the Ch…

2022

The church of S. Mary of the Admiral in Palermo, known as “La Martorana” and very famous for its Byzantine mosaics, has been a World Heritage site since 2015. The mosaic system of the church includes several groups of figures and scenes from the life of the Virgin Mary. From the western part of the ancient church only two mosaics survive, detached from their original position, and are now located in two internal chapels. On the occasion of several restoration works, these two mosaic panels were investigated with non-invasive techniques, in order to provide diagnostic support to the restoration and consolidation interventions. The investigations were aimed at detecting any air po…

ArcheologyMaterials Science (miscellaneous)Settore GEO/11 - Geofisica Applicatainfrared thermographymosaic; infrared thermography; ground penetrating radar; non-destructive testConservationmosaicnon-destructive testground penetrating radar
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Deep learning strategies for automatic fault diagnosis in photovoltaic systems by thermographic images

2021

Abstract Losses of electricity production in photovoltaic systems are mainly caused by the presence of faults that affect the efficiency of the systems. The identification of any overheating in a photovoltaic module, through the thermographic non-destructive test, may be essential to maintain the correct functioning of the photovoltaic system quickly and cost-effectively, without interrupting its normal operation. This work proposes a system for the automatic classification of thermographic images using a convolutional neural network, developed via open-source libraries. To reduce image noise, various pre-processing strategies were evaluated, including normalization and homogenization of pi…

Artificial neural networkContextual image classificationRenewable Energy Sustainability and the EnvironmentComputer sciencebusiness.industry020209 energyDeep learningEnergy Engineering and Power TechnologyPattern recognitionSobel operatorAutomatic Fault recognition Convolutional Neural Network Photovoltaics TensorFlow Infrared Thermography02 engineering and technologyPerceptronConvolutional neural networkThresholdingThermographic inspectionFuel Technology020401 chemical engineeringNuclear Energy and Engineering0202 electrical engineering electronic engineering information engineeringArtificial intelligence0204 chemical engineeringbusinessEnergy Conversion and Management
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Convolutional Neural Network for Dust and Hotspot Classification in PV Modules

2020

20th IEEE International Conference on Environment and Electrical Engineering, EEEIC 2020, online, 9 Jun 2020 - 12 Jun 2020; Energies : open-access journal of related scientific research, technology development and studies in policy and management 13(23), 6357 (2020). doi:10.3390/en13236357 special issue: "Special Issue "Selected Papers from 20 IEEE International Conference on Environment and Electrical Engineering (EEEIC 2020)" / Special Issue Editor: Prof. Dr. Rodolfo Araneo, Guest Editor"

Control and OptimizationComputer science020209 energyReal-time computingEnergy Engineering and Power Technologydiagnosticconvolutional neural network02 engineering and technology010501 environmental sciencesSettore ING-IND/32 - Convertitori Macchine E Azionamenti Elettricilcsh:Technology01 natural sciencesConvolutional neural networkphotovoltaic energyhot spotHotspot (geology)diagnostics0202 electrical engineering electronic engineering information engineeringenergy efficientElectrical and Electronic EngineeringEngineering (miscellaneous)0105 earth and related environmental sciencesSettore ING-IND/11 - Fisica Tecnica Ambientalelcsh:TRenewable Energy Sustainability and the Environmentbusiness.industryPhotovoltaic systemDirtartificial intelligencerenewable energy620Renewable energyElectricity generationinfrared thermographydustddc:620businessEnergy (miscellaneous)Efficient energy use
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Automatic detection of thermal anomalies in induction motors

2021

The paper proposes a methodology based on Artificial Intelligence techniques for the automatic detection of abnormal thermal distributions in electric motors, to rapidly identify pre-faults or fault conditions. The proposed approach, applied to induction motors of different sizes, installed in waterworks plants, is based on the execution of Thermographic Non-Destructive Tests, which allow identifying abnormal operating conditions without interrupting the ordinary working conditions of the system. Thermographic images of induction motors are acquired at the installation site and with perspectives visible to the operator, which are sometimes partially obstructed. These thermographic images ar…

Electric motorthermal anomaliespre-processingArtificial neural networkComputer scienceReal-time computingconvolutional neural networkSettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciFault (power engineering)Convolutional neural networkinfrared thermographyThermalinduction motorsAutomatic detectionImage acquisitionInduction motorOverheating (electricity)2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
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Evaluation of interlaminar delaminations in titanium-graphite fibre metal laminates by infrared NDT techniques

2018

Abstract Fibre Metal Laminates (FMLs) describe a number of aerospace-grade layered structural materials where thin metal alloy foils are interleaved with Fibre Reinforced Polymer (FRP) plies. Such material hybridisation at the layer meso-scale poses a challenge for non-destructive testing (NDT). On the other hand, the need for NDT inspection of FMLs arises due to the potential development of interlayers disbonds, both during fabrication or in-service. This work describes the successful implementation of two Infrared-NDT approaches to evaluate a defected FML panel made of Titanium/Graphite (Ti-Gr). One technique is based on the modulation of the deployed heat from a low-cost halogen lamp, to…

FabricationMaterials scienceLaser02 engineering and technologyCondensed Matter Physic01 natural scienceslaw.inventionlawNondestructive testing0103 physical sciencesGeneral Materials ScienceComposite material010301 acousticsStructural materialbusiness.industryMechanical EngineeringFibre-reinforced plastic021001 nanoscience & nanotechnologyCondensed Matter PhysicsLaserHalogen lampDebondLayered materialThermographyInfrared thermographyFibre metal laminateMaterials Science (all)0210 nano-technologybusinessRaster scan
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Infrared thermography for monitoring heat generation in a linear friction welding process of Ti6Al4V alloy

2017

Abstract The increasing use of titanium alloys in a wider range of applications requires the development of new techniques and processes capable to decrease production costs and manufacturing times. In this regard welding and other joining techniques play an important role. Today, solid state friction joining processes, such as friction stir welding, friction spot welding, inertia friction welding, continuous-drive friction welding and linear friction welding (LFW), represent promising methods for part manufacturing. They allow for joining at temperature essentially below the melting point of the base materials being joined, without the addition of filler metal. However, the knowledge of te…

Heat-affected zoneMaterials scienceInfrared thermography Linear friction welding Ti6Al4V alloyMechanical engineering02 engineering and technologyWeldingElectric resistance welding01 natural scienceslaw.inventionFusion weldinglaw0103 physical sciencesCold weldingFriction weldingSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazione010302 applied physicsTi6Al4V alloyLaser beam welding021001 nanoscience & nanotechnologyCondensed Matter PhysicsAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsExplosion weldingInfrared thermography0210 nano-technologyLinear friction welding
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Pre-exercise skin temperature evolution is not related with 100 m front crawl performance

2020

During the transition between warm-up and competition there is a change in core, muscle and (eventually) skin temperature that may affect swimming performance. We have aimed to assess skin temperature evolution during transition phases of different durations before a typical front crawl effort and to investigate its relationship with performance. Following a standardized warm-up, nine adolescent male swimmers performed three maximal randomized 100 m maximum front crawl trials after 10, 20 and 45 min transition phases. Skin temperature, performance (time, stroke frequency, length and index, and propelling efficiency), heart rate, lactate and perceived effort were assessed. Data showed a skin…

Male0106 biological sciencesmedicine.medical_specialtyMaterials scienceAdolescentWarm-Up ExercisePhysiology030310 physiologyAthletic Performance010603 evolutionary biology01 natural sciencesBiochemistry03 medical and health sciencesPre exercisePhysical medicine and rehabilitationWarm-upHeart ratemedicineHumansFront crawSwimming0303 health sciencesCore (anatomy)digestive oral and skin physiologySkin temperatureStroke frequencyTransition phaseInfrared thermographySkin TemperatureGeneral Agricultural and Biological SciencesFront crawlDevelopmental Biology
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