Search results for "industrial"

showing 10 items of 5745 documents

Aluminum to titanium laser welding-brazing in V-shaped grooveI

2017

International audience; Laser assisted joining of AA5754 aluminum alloy to T40 titanium with use of Al-Si filler wires was carried out. Continuous Yb:YAG laser beam was shaped into double spot tandem and defocalized to cover larger interaction zone in V shaped groove. Experimental design method was applied to study the influence of operational parameters on the tensile properties of the joints. Microstructure examination and fractography study were carried out to understand the relation between local phase content and fracture mode.Within defined window of operational parameters, statistically important factors that influenced the strength of T40 to AA5754 joints in V groove configuration w…

0209 industrial biotechnologyMatériaux [Sciences de l'ingénieur]Materials science[ SPI.MECA ] Engineering Sciences [physics]/Mechanics [physics.med-ph][ SPI.MAT ] Engineering Sciences [physics]/MaterialsFractography02 engineering and technologyIndustrial and Manufacturing Engineering[SPI.MAT]Engineering Sciences [physics]/Materials020901 industrial engineering & automationUltimate tensile strengthBrazingTitanium alloysJoint (geology)Groove (engineering)Filler metalMécanique [Sciences de l'ingénieur]MetallurgyMetals and AlloysLaser beam weldingTitanium alloy[SPI.MECA]Engineering Sciences [physics]/Mechanics [physics.med-ph]021001 nanoscience & nanotechnologyAluminum alloysComputer Science ApplicationsModeling and SimulationCeramics and CompositesLaser weldingDissimilar metal joint0210 nano-technology
researchProduct

JOINT TOPOLOGY LEARNING AND GRAPH SIGNAL RECOVERY VIA KALMAN FILTER IN CAUSAL DATA PROCESSES

2018

In this paper, a joint graph-signal recovery approach is investigated when we have a set of noisy graph signals generated based on a causal graph process. By leveraging the Kalman filter framework, a three steps iterative algorithm is utilized to predict and update signal estimation as well as graph topology learning, called Topological Kalman Filter or TKF. Similar to the regular Kalman filter, we first predict the a posterior signal state based on the prior available data and then this prediction is updated and corrected based on the recently arrived measurement. But contrary to the conventional Kalman filter algorithm, we have no information of the transition matrix and hence we relate t…

0209 industrial biotechnologyMean squared errorIterative methodComputer scienceStochastic matrixInference020206 networking & telecommunications02 engineering and technologyKalman filterTopology020901 industrial engineering & automationSignal recovery0202 electrical engineering electronic engineering information engineeringGraph (abstract data type)Topological graph theory2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP)
researchProduct

Online dimensional control of rolled steel profiles using projected fringes

2020

AbstractFringe projection is a versatile method for mapping the topography of surfaces. In this paper, it is used to measure the defects on the head of railroad rails while the rails are moving. Railroad rails are made by hot rolling. The quality of the finished product is generally good, but surface texture will deteriorate with increasing temperature. A method for online inspection therefore is very desirable. In the present experiment, dimensional inspection of the railroad rails was made online while moving at a speed of 1–2 m/s. Therefore, it is important to minimize the registration time. To achieve this, we apply a method of fringe location with sub-pixel accuracy that requires only …

0209 industrial biotechnologyMeasure (data warehouse)Computer scienceMechanical EngineeringMechanical engineering02 engineering and technologySurface finish01 natural sciencesIndustrial and Manufacturing EngineeringComputer Science ApplicationsStructured-light 3D scanner010309 opticsVDP::Teknologi: 500020901 industrial engineering & automationControl and Systems Engineering0103 physical sciencesHead (vessel)Software
researchProduct

Microstructural, mechanical and energy demand characterization of alternative WAAM techniques for Al-alloy parts production

2020

Abstract Additive manufacturing (AM) processes are gathering momentum as an alternative to conventional manufacturing processes. A research effort is being made worldwide to identify the most promising AM approaches. Within this category, wire arc additive manufacturing (WAAM) is among the most interesting, especially when large parts must be manufactured. In this paper, two different WAAM deposition techniques suitable for the deposition of Aluminum alloys, Cold Metal Transfer (CMT) and CMT mix drive, are analyzed and compared. With the aim of obtaining a clear picture concerning the two different techniques, microstructural analyses, mechanical property evaluation and electrical energy de…

0209 industrial biotechnologyMechanical propertyEnergy demandMaterials sciencebusiness.industryElectric potential energyAlloy02 engineering and technologyengineering.materialAdditive manufacturing Energy efficiency Mechanical properties WAAMIndustrial and Manufacturing EngineeringCharacterization (materials science)020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringengineeringProduction (economics)Deposition (phase transition)Metal transferProcess engineeringbusinessSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazione
researchProduct

Fast Earth Mover's Distance Computation for Catadioptric Image Sequences

2016

International audience; Earth mover's distance is one of the most effective metric for comparing histograms in various image retrieval applications. The main drawback is its computational complexity which hinders its usage in various comparison tasks. We propose fast earth mover's distance computation by providing better initialization to the transportation simplex algorithm. The new approach enables faster EMD computation in Visual Memory (VM) compared to the state of the art methods. The new proposed strategy computes earth mover distance without compromising its accuracy.

0209 industrial biotechnologyMoments[ INFO ] Computer Science [cs]Computational complexity theory[SPI] Engineering Sciences [physics]VisionComputationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONInitialization02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[INFO] Computer Science [cs]Catadioptric system[SPI]Engineering Sciences [physics]020901 industrial engineering & automationEarth Mover's DistanceSimplex algorithmVisual servoing0202 electrical engineering electronic engineering information engineering[ SPI ] Engineering Sciences [physics]Computer vision[INFO]Computer Science [cs]Image retrieval[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingMathematicsbusiness.industry[SPI.TRON] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/ElectronicsVisual MemoryLocalizationMetric (mathematics)020201 artificial intelligence & image processingArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingEarth mover's distance
researchProduct

Adapted Approach for Omnidirectional Egomotion Estimation

2011

Egomotion estimation is based principally on the estimation of the optical flow in the image. Recent research has shown that the use of omnidirectional systems with large fields of view allow overcoming the limitation presented in planar-projection imagery in order to address the problem of motion analysis. For omnidirectional images, the 2D motion is often estimated using methods developed for perspective images. This paper adapts motion field calculated using adapted method which takes into account the distortions existing in the omnidirectional image. This 2D motion field is then used as input to the egomotion estimation process using spherical representation of the motion equation. Expe…

0209 industrial biotechnologyMotion analysisbusiness.industryComputer sciencePerspective (graphical)Optical flow[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Equations of motion020207 software engineering02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Motion (physics)[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020901 industrial engineering & automationMotion fieldComputer Science::Computer Vision and Pattern RecognitionMotion estimation0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionArtificial intelligencebusinessOmnidirectional antennaComputingMilieux_MISCELLANEOUS
researchProduct

Inverse kinematic control of an industrial robot used in Vessel-to-Vessel Motion Compensation

2017

An increased level of complex offshore load handling operations is expected due to an increased amount of floating wind turbines, remote fish farms, and autonomous shipping, and in general more advanced operations to be carried out at sea. A common problem for these applications is that both equipment and personnel have to be transported between two floating vessels at sea. An investigation of the Vessel-to-Vessel Motion Compensation (VVMC) problem may increase the efficiency and safety of such operations in the future. In this paper, a control algorithm has been developed and experimentally tested in the Norwegian Motion Laboratory featuring two Stewart platforms (SPs), an industrial robot…

0209 industrial biotechnologyMotion compensationRobot kinematicsEngineeringWind powerbusiness.industry02 engineering and technologyKinematicsCompensation (engineering)law.inventionIndustrial robot020901 industrial engineering & automationlawBroadband0202 electrical engineering electronic engineering information engineeringWireless020201 artificial intelligence & image processingbusinessSimulationMarine engineering2017 25th Mediterranean Conference on Control and Automation (MED)
researchProduct

Adaptive Fuzzy Super-Twisting Sliding Mode Control for Microgyroscope

2019

This paper proposes a novel adaptive fuzzy super-twisting sliding mode control scheme for microgyroscopes with unknown model uncertainties and external disturbances. Firstly, an adaptive algorithm is used to estimate the unknown parameters and angular velocity of microgyroscopes. Secondly, in order to improve the performance of the system and the superiority of the super-twisting algorithm, this paper utilizes the universal approximation characteristic of the fuzzy system to approach the gain of the super-twisting sliding mode controller and identify the gain of the controller online, realizing the adaptive adjustment of the controller parameters. Simulation results verify the superiority a…

0209 industrial biotechnologyMultidisciplinaryArticle SubjectGeneral Computer ScienceAdaptive algorithmComputer science020208 electrical & electronic engineeringMode (statistics)Angular velocity02 engineering and technologyFuzzy control systemSliding mode controlFuzzy logiclcsh:QA75.5-76.95020901 industrial engineering & automationControl theory0202 electrical engineering electronic engineering information engineeringlcsh:Electronic computers. Computer scienceComplexity
researchProduct

Multi-band identification for enhancing bearing fault detection in variable speed conditions

2020

Abstract Rolling element bearings are crucial components in rotating machinery, and avoiding unexpected breakdowns using fault detection methods is an increased demand in industry today. Variable speed conditions render a challenge for vibration-based fault diagnosis due to the non-stationary impact frequency. Computed order tracking transforms the vibration signal from time domain to the shaft-angle domain, allowing order analysis with the envelope spectrum. To enhance fault detection, the bearing resonance frequency region is isolated in the raw signal prior to order tracking. Identification of this region is not trivial but may be estimated using kurtosis-based methods reported in the li…

0209 industrial biotechnologyNoise (signal processing)Computer scienceMechanical EngineeringAerospace EngineeringCondition monitoring02 engineering and technologyFault (power engineering)01 natural sciencesNoise floorFault detection and isolationComputer Science Applications020901 industrial engineering & automationControl and Systems Engineering0103 physical sciencesSignal ProcessingCepstrumTime domain010301 acousticsOrder trackingAlgorithmCivil and Structural EngineeringMechanical Systems and Signal Processing
researchProduct

An intelligent Proportional controller of a Seeded Batch Crystallizer

2020

Crystallization process is used in a very wide range of industrial applications. However, highly nonlinear comportment of such process and the difficulties of characterizing several phenomenological effects makes difficult to find suitable operational procedures for producing required products. In this article, we use a model-free control (MFC) for controlling the mean size of crystals produced by seeded batch cooling crystallization. The MFC method is distinguished notably in terms of the modeling strategy. Rather than developing a crystallization model within the classic population balance equation (PBE) together with the mass balance and the energy balance, as is usually done, we use a l…

0209 industrial biotechnologyNoise measurementEnergy balanceProcess (computing)Population balance equationProportional control02 engineering and technologylaw.inventionNonlinear system020901 industrial engineering & automation020401 chemical engineeringControl theorylaw0204 chemical engineeringCrystallization2020 17th International Multi-Conference on Systems, Signals & Devices (SSD)
researchProduct