Search results for "SCR"

showing 10 items of 11806 documents

Influence of Process Parameters on the Product Integrity in Friction Stir Extrusion of Magnesium Alloys

2016

Friction Stir Extrusion is an innovative direct-recycling technology for metal machining chips. During the process a specifically designed rotating tool is plunged into a cylindrical matrix containing the scraps to be recycled. The stirring action of the tool prompts solid bonding related phenomena allowing the back extrusion of a full dense rod. This process results to be particularly relevant because allows the reuse of the scrap without any previous treatment. Experiments have been carried out in order to investigate the influence of the process parameters on the extrudes quality and a numerical model has been developed in order to simulate the evolution of the material flow.

0209 industrial biotechnologyMaterials scienceMechanical EngineeringMetallurgyProcess (computing)Scrap02 engineering and technologyReuse021001 nanoscience & nanotechnologyStrength of materialsFinite element methodMaterial flow020901 industrial engineering & automationMechanics of MaterialsGeneral Materials ScienceExtrusionMagnesium alloy0210 nano-technologyKey Engineering Materials
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AZ31 magnesium alloy recycling through friction stir extrusion process

2015

Friction Stir Extrusion is a novel technique for direct recycling of metal scrap. In the process, a dedicated tool produces both the heat and the pressure to compact and extrude the original raw material, i.e., machining chip, as a consolidated component. A proper fixture was used to carry out an experimental campaign on Friction Stir Extrusion of AZ31 magnesium alloy. Variable tool rotation and extrusion ratio were considered. Appearance of defects and fractures was related to either too high or too low power input. The extruded rods were investigated both from the metallurgical and mechanical points of view. Tensile strength up to 80 % of the parent material was found for the best combina…

0209 industrial biotechnologyMaterials scienceMetallurgyScrap02 engineering and technologyFixture021001 nanoscience & nanotechnologyRodMaterial flowFriction stir extrusion020901 industrial engineering & automationMachiningUltimate tensile strengthRecyclingGeneral Materials ScienceExtrusionMaterials Science (all)Magnesium alloyComposite material0210 nano-technologySettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneMagnesium alloyMaterial flowInternational Journal of Material Forming
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Al-SiC Metal Matrix Composite production through Friction Stir Extrusion of aluminum chips

2017

Abstract The production of most mechanical component requires machining operation, thus usually implying the cut material to be wasted as scrap. Traditional recycling techniques are not able to efficiently recycle metal chips because of some critical aspects that characterize such kind of scraps (shape, oxide layers, contaminating residues, etc). Friction Stir Extrusion is an innovative solid state direct-recycling technique for metal machining chips. During the process, a rotating tool is plunged into a hollows matrix to compact, stir and finally, back extrudes the chips to be recycled in a full dense rod. This process results to be particularly relevant since no preliminary treatment of t…

0209 industrial biotechnologyMaterials scienceSolid-stateOxideChipchemistry.chemical_elementScrap02 engineering and technologychemistry.chemical_compound020901 industrial engineering & automationMachiningAluminiumSilicon carbideComposite materialRecycleSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneSilicon CarbideMetal matrix compositeMetallurgyGeneral MedicineFriction Stir Extrusion021001 nanoscience & nanotechnologyFriction Stir Extrusion; Recycle; Chips; Metal Matrix Composites; Silicon CarbidechemistryExtrusionMetal Matrix Composite0210 nano-technology
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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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A Hierarchical Learning Scheme for Solving the Stochastic Point Location Problem

2012

Published version of a chapter in the book: Advanced Research in Applied Artificial Intelligence. Also available from the publisher at: http://dx.doi.org/10.1007/978-3-642-31087-4_78 This paper deals with the Stochastic-Point Location (SPL) problem. It presents a solution which is novel in both philosophy and strategy to all the reported related learning algorithms. The SPL problem concerns the task of a Learning Mechanism attempting to locate a point on a line. The mechanism interacts with a random environment which essentially informs it, possibly erroneously, if the unknown parameter is on the left or the right of a given point which also is the current guess. The first pioneering work […

0209 industrial biotechnologyMathematical optimizationOptimization problemBinary treeDiscretizationLearning automataComputer sciencelearning automataVDP::Technology: 500::Information and communication technology: 5500102 computer and information sciences02 engineering and technologyRandom walk01 natural sciencesdicretized learningStochastic-Point problemcontrolled Random WalkVDP::Mathematics and natural science: 400::Information and communication science: 420::Knowledge based systems: 425020901 industrial engineering & automation010201 computation theory & mathematicsLine (geometry)Convergence (routing)Point (geometry)Algorithm
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Time-varying Sampled-data Observer with Asynchronous Measurements

2019

International audience; In this paper a time-varying observer for a linear continuous-time plant with asynchronous sampled measurements is proposed. The observer is contextualized in the hybrid systems framework providing an elegant setting for the proposed solution. In particular some theoretical tools are provided, in terms of LMIs, certifying asymptotic stability of a certain compact set where the estimation error is zero. We consider sampled asynchronous measurements that occur at arbitrary times in a certain window with an upper and lower bound. The design procedure, that we propose for the selection of the time-varying gain, is based on a constructive algorithm that is guaranteed to f…

0209 industrial biotechnologyObserver (quantum physics)02 engineering and technologyUpper and lower boundsElectronic mail[SPI]Engineering Sciences [physics]020901 industrial engineering & automationSample data observerExponential stabilitySettore ING-INF/04 - AutomaticaControl theorylinear matrix inequalities (LMIs)linear matrixElectrical and Electronic Engineeringlinear matrix inequalitiesMathematicsLinear systemlinear systemshybrid systemssampled-data observerComputer Science ApplicationsCompact spaceControl and Systems EngineeringAsynchronous communicationHybrid systemhybrid systemDiscrete asynchronous measurementdiscrete asynchronous measurementsdiscrete asynchronous
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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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Wind component estimation for UAS flying in turbulent air

2019

One of the most important problem of autonomous flight for UAS is the wind identification, especially for small scale vehicles. This research focusses on an identification methodology based on the Extended Kalman Filter (EKF). In particular authors focus their attention on.the filter tuning problem. The proposed procedure requires low computational power, so it is very useful for UAS. Besides it allows a robust wind component identification even when, as it is usually, the measurement data set is affected by noticeable noises. (C) 2019 Elsevier Masson SAS. All rights reserved.

0209 industrial biotechnologyTurbulenceComputer scienceAuto-tuningWind estimationSettore ING-IND/03 - Meccanica Del VoloAerospace EngineeringScale (descriptive set theory)02 engineering and technology01 natural sciences010305 fluids & plasmasPower (physics)Data setExtended Kalman filterIdentification (information)020901 industrial engineering & automationEKFControl theory0103 physical sciencesWind componentUASFocus (optics)Aerospace Science and Technology
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Aluminium sheet metal scrap recycling through friction consolidation

2019

Abstract In the last decades, several direct-recycling techniques have been developed and investigated in order to avoid material remelting, typical of the conventional aluminum alloys recycling processes. Moreover, the remelting step for aluminum recycling is affected by permanent material losses. Solid-state recycling processes have proven to be a suitable strategy to face such issues. Friction Consolidation is an innovative solid state-recycling technology developed for metal chips. During the process, a rotating die is plunged into a hollow chamber containing the material to be processed. The work of friction forces decaying into heat soften the material and, together with the stirring …

0209 industrial biotechnologyWork (thermodynamics)business.product_categoryMaterials scienceAluminum alloychemistry.chemical_elementScrap02 engineering and technologyIndustrial and Manufacturing EngineeringScrap recycling020901 industrial engineering & automation0203 mechanical engineeringArtificial IntelligenceAluminiumSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneFriction consolidationConsolidation (soil)MetallurgyAluminium recycling020303 mechanical engineering & transportschemistryvisual_artvisual_art.visual_art_mediumDie (manufacturing)Sheet metalbusiness
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An Artificial Bee Colony Approach for Classification of Remote Sensing Imagery

2018

This paper presents a novel Artificial Bee Colony (ABC) approach for supervised classification of remote sensing images. One proposes to apply an ABC algorithm to optimize the coefficients of the set of polynomial discriminant functions. We have experimented the proposed ABC-based classifier algorithm for a Landsat 7 ETM+ image database, evaluating the influence of the ABC model parameters on the classifier performances. Such ABC model parameters are: numbers of employed/onlooker/scout bees, number of epochs, and polynomial degree. One has compared the best ABC classifier Overall Accuracy (OA) with the performances obtained using a set of benchmark classifiers (NN, NP, RBF, and SVM). The re…

021103 operations researchArtificial neural networkComputer science0211 other engineering and technologies02 engineering and technologyArtificial bee colony algorithmSupport vector machineStatistical classificationAbc modelComputingMethodologies_PATTERNRECOGNITIONDiscriminant0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingDegree of a polynomialClassifier (UML)Remote sensing2018 10th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)
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