Search results for "Elastic"

showing 10 items of 2162 documents

Steady and oscillatory shear behaviour of semi-concentrated starch suspensions

2011

The viscoelastic moduli G’ and G” of aqueous suspensions with 40% (w/v) normal corn starch (NCS) and waxy corn starch (WCS) were determined by oscillation rheometry. The oscillatory shear flow experiments at heating from 30° to 75 °C and maintaining at this temperature showed changes from a behaviour predominant viscous (G”>>G’) to predominant elastic (G’>G”) for both starches at 60.5 °C for WCS, respectively 70,85 °C for NCS, WCS having higher values of G’ and G” as NCS. After the gelatinisation temperature was attired, NCS showed no significant changes, both moduli remaining relatively constant. Peaks of both moduli G’ and G” were obtained for WCS at its maintaining at 75oC, these changes…

Waxy corncorn starch ;waxy corn starchAqueous solutionMaterials sciencebiologyRheometryStarchAnalytical chemistryoscillatory shearGeneral Medicinesteady shearbiology.organism_classificationViscoelasticitychemistry.chemical_compoundviscoelastic modulichemistryAmyloseAmylopectinBotanyShear flowProcedia Food Science
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The foaming properties of camel and bovine whey: The impact of pH and heat treatment

2018

International audience; he effect of heat treatment (70 degrees C or 90 degrees C for 30 min) on the foaming and interfacial properties of acid and sweet whey obtained from bovine and camel fresh milk was examined. The maximum foamability and foam stability were observed for acid whey when compared to sweet whey for both milks, with higher values for the camel whey. This behavior for acid whey was explained by the proximity of the pI of whey protein (4.9-5.2), where proteins were found to carry the lowest negative charge as confirmed by the zeta potential measurements. Interfacial properties of acid camel whey and acid bovine whey were preserved at air water interface even after a heat trea…

Whey proteinHot TemperatureAir water interfaceCamel and bovine wheyAnalytical Chemistryfluids and secretions[SDV.IDA]Life Sciences [q-bio]/Food engineeringZeta potentialmixed layersFood scienceBeta-lactoglobulinbiologybeta-lactoglobulinChemistrypHdigestive oral and skin physiology[ SDV.IDA ] Life Sciences [q-bio]/Food engineeringaggregationfood and beverages04 agricultural and veterinary sciencesGeneral MedicineHydrogen-Ion Concentration040401 food science[SDV.BBM.BC]Life Sciences [q-bio]/Biochemistry Molecular Biology/Biomolecules [q-bio.BM]lactoferrinmilk-proteinsendocrine systemCamelusanimal structuresHeat treatmentinterfacesFresh milk0404 agricultural biotechnologyWheyNegative chargeFoaming propertiesalpha-lactalbuminAnimals[SDV.BBM.BC]Life Sciences [q-bio]/Biochemistry Molecular Biology/Biochemistry [q-bio.BM]adsorption behaviorChromatographydromedarius milkViscoelastic modulus0402 animal and dairy sciencestability040201 dairy & animal scienceWhey ProteinsAlpha-lactalbuminbiology.proteinCattle[SDV.AEN]Life Sciences [q-bio]/Food and NutritionFood Science
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WING FLUTTER SUPPRESSION ENHANCEMENT USING A WELL-SUITED ACTIVE CONTROL MODEL

2007

State-space theory is employed here to model a new active wing flutter suppression control. In this paper, the design of a flutter suppression control law, for the NASA Benchmark Active Control Technology wing, is proposed through a single input-single output controller and unsteady aerodynamics is modelled using the Theodorsen's theory. Wing dynamic model is obtained by combining the aeroelastic equations of motion with the actuator model presented. Open-loop dynamic behaviour is examined for a single feedback variable that combines pitch and plunge accelerations. Here, a new formulation of control law, based on classical control techniques and featuring two feedback closed-loops, is succ…

WingComputer scienceAeroelasticity Flutter (aerodynamics) cycle oscillationMechanical EngineeringAerospace EngineeringEquations of motionAerodynamicsAeroelasticityPhysics::Fluid DynamicsControl theoryRobustness (computer science)Settore ING-IND/06 - FluidodinamicaFlutterActuator
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Structure–Property Relationships in Bionanocomposites for Pipe Extrusion Applications

2021

In this work, bionanocomposites based on different biodegradable polymers and two types of nanofillers, namely a nanosized calcium carbonate and an organomodified nanoclay, were produced through melt extrusion, with the aim to evaluate the possible applications of these materials as a potential alternative to traditional fossil fuel-derived polyolefins, for the production of irrigation pipes. The rheological behavior of the formulated systems was thoroughly evaluated by exploiting different flow regimes, and the obtained results indicated a remarkable effect of the introduced nanofillers on the low-frequency rheological response, especially in nanoclay-based bionanocomposites. Conversely, t…

Work (thermodynamics)Materials scienceBiopolymerPolymers and Plasticsbionanocompositesrheological behaviorStructure propertybiopolymersGeneral Chemistrymechanical propertiesBiodegradable polymerArticleShear ratelcsh:QD241-441Settore ING-IND/22 - Scienza E Tecnologia Dei MaterialiRheologylcsh:Organic chemistrybionanocompositemechanical propertieExtrusionbiopolymers; bionanocomposites; rheological behavior; mechanical properties; processabilityComposite materialDuctilityElastic modulusprocessabilityPolymers
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Connections Between Topology and Macroscopic Mechanical Properties of Three-Dimensional Open-Pore Materials

2018

This work addresses a number of fundamental questions regarding the topological description of materials characterized by a highly porous three-dimensional structure with bending as the major deformation mechanism. Highly efficient finite-element beam models were used for generating data on the mechanical behavior of structures with different topologies, ranging from highly coordinated bcc to Gibson–Ashby structures. Random cutting enabled a continuous modification of average coordination numbers ranging from the maximum connectivity to the percolation-cluster transition of the 3D network. The computed macroscopic mechanical properties–Young's modulus, yield strength, and Poisson's ratio–co…

Work (thermodynamics)Materials sciencetopologyMaterials Science (miscellaneous)Coordination numberModulus02 engineering and technologyBendingPoisson distributionTopologystructure–property relationship01 natural scienceslcsh:Technologysymbols.namesakeApproximation error0103 physical sciencesTechnik [600]Topology (chemistry)ddc:620.11010302 applied physicslcsh:T600data mining021001 nanoscience & nanotechnologyelastic-plastic deformation behaviormachine learningopen-pore materialssymbols0210 nano-technologyReduction (mathematics)ddc:600Frontiers in Materials
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The recovery after bending of polycarbonate sheets

1981

The recovery after bending has been extensively studied for metal sheets. The data presented in this work show that in the case of polymeric materials viscoelastic effects play a very important role. In particular the influence of deformation rate, the time the sample is held under load and the recovery time is analysed. A master curve is obtained by proper modification of a recent analysis developed for metal sheets.

Work (thermodynamics)Materials sciencevisual_artvisual_art.visual_art_mediumGeneral Materials ScienceBendingPolycarbonateComposite materialDeformation (engineering)Condensed Matter PhysicsViscoelasticityRheologica Acta
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Viscoelasticity: an electrical point of view

2014

Time dependent hereditary properties of complex materials are well described by power-laws with real order exponent. This experimental observation and analogous electrical experiments, yield a description of these properties by using fractional-order operators. In this paper, elasto-viscous and visco-elastic behaviors of fractional order hereditary materials are firstly described by using fractional mathematical operators, based on recent work of some of the authors. Then, electrical analogous models are introduced. Viscoelastic models have elastic and viscous components which can be obtained by combining springs and dashpots: these models can be equivalently viewed as electrical circuits, …

Work (thermodynamics)Modal analysisMathematical analysisViscoelasticity electrical analogyViscoelasticityDashpotlaw.inventionMathematical OperatorsSettore ING-IND/31 - ElettrotecnicaSettore MAT/08 - Analisi NumericaSpring (device)lawElectrical networkExponenthereditary materialSettore ICAR/08 - Scienza Delle CostruzioniMathematics
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CONTRIBUTION OF PSEUDO-FOCUSED SOFT PROTONS TO THE BACKGROUND OF ATHENA

2021

This PhD thesis explores the role of low energy protons, the so-called ‘soft protons', as a component of the background in view of the future ESA's X-ray mission Athena. As a matter of fact, a high level of soft proton flux at the focal plane of Athena can adversely affect the scientific goals of the mission. To prevent this, a correct estimate of the soft proton flux expected at the focal plane of the satellite is fundamental. Such an estimate can be achieved only if the reflectivity of soft protons from the optics is well understood, with efforts on both the experimental and the theoretical sides. To this aim, I applied the model of reflectivity of particles at grazing incidence proposed …

X-ray binariesX-ray binarySettore FIS/05 - Astronomia E AstrofisicaX-ray backgroundX-ray astronomy Inelastic X-ray scattering X-ray optics X-ray pulsar neutron starsoft proton530520
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A new invariant-based method for building biomechanical behavior laws - Application to an anisotropic hyperelastic material with two fiber families

2013

Abstract In this article, we present a general constructive and original approach that allows us to calculate the invariants associated with an anisotropic hyperelastic material made of two families of collagen fibers. This approach is based on mathematical techniques from the theory of invariants: • Definition of the material symmetry group. • Analytical calculation of a set of generators using the Noether’s theorem. • Analytical calculation of an integrity basis. • Comparison between the proposed invariants and the classical ones.

[ SPI.MAT ] Engineering Sciences [physics]/Materials02 engineering and technologyTheory of invariantsConstructiveAnisotropic hyperelastic material[SPI.MAT]Engineering Sciences [physics]/Materialssymbols.namesake0203 mechanical engineeringMaterials Science(all)Modelling and SimulationGeneral Materials ScienceBiomechanicsInvariant (mathematics)AnisotropyMaterial symmetryMathematicsMechanical EngineeringApplied MathematicsMathematical analysis021001 nanoscience & nanotechnologyCondensed Matter Physics020303 mechanical engineering & transportsMechanics of MaterialsModeling and SimulationHyperelastic materialsymbolsNoether's theorem0210 nano-technology
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Strain fields measurement of non-rigid solid by scanning laser coupled with camera

2013

International audience; Abstract. Today, the techniques of measurement without contact by scanning laser are increasingly used. These techniques allow to measure 3D objects without contact and the measurement rates can reach few thousand points by second that is very adapted to complex shapes. To measure displacements and deformations, it is necessary to follow a solid particle in its motion between two configurations of the body before and after displacement. The method of stereovision based on grayscale patterns, obtained by applying a spray, is generally used. The results are obtained by two correlations: spatial and temporal correlations. An alternative method consists to use a scanner …

[ SPI.MECA.GEME ] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]ScannerLaser scanningComputer sciencePoint cloudelastic Body02 engineering and technology01 natural sciencesGrayscaleDisplacement (vector)law.invention010309 optics0203 mechanical engineeringlawPosition (vector)0103 physical sciencesComputer visionstrain measurement[SPI.MECA.GEME] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]Scanner Laserbusiness.industryLaser[SPI.MECA.GEME]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Mechanical engineering [physics.class-ph]020303 mechanical engineering & transportsArtificial intelligenceCubebusiness
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