0000000000136193

AUTHOR

Heikki Remes

showing 2 related works from this author

Multiscale microstructural characterization of particulate-reinforced composite with non-destructive X-ray micro- and nanotomography

2018

Abstract Methods based on X-ray tomography are developed to study the relevant statistical quantities describing the microstructural inhomogeneity of particulate reinforced composites. The developed methods are applied in estimating microstructural inhomogeneity parameters of composites containing metallic glass particles in metal matrix, extruded in varying pressure loads. This study indicates that the critical characteristics with regard to the effect of particle clustering are cluster size and shape, local volume fraction of particles in the cluster and the distance between clusters. The results demonstrate that the spatial distribution of reinforcement is very uneven and the amount of p…

MultiscaleMaterials scienceComposite numberNon-destructive testing02 engineering and technology010402 general chemistry01 natural sciencesNondestructive testingCluster (physics)Composite materialta216Civil and Structural EngineeringAmorphous metalta114business.industryMicrostructural analysis021001 nanoscience & nanotechnology0104 chemical sciencesCharacterization (materials science)Particle-reinforcementVolume fractionrikkomaton aineenkoetusCeramics and CompositesParticleExtrusion0210 nano-technologybusinessComposite Structures
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Effects of particle clustering on the plastic deformation and damage initiation of particulate reinforced composite utilizing X-ray CT data and finit…

2018

In this paper, a new simulation technique which can include microstructural inhomogeneity of particulate reinforced composites is proposed to accurately study deformation pattern and damage mechanism in these composites. Three dimensional microstructures constructed from XCT images incorporated into finite element modeling codes with minimal approximation to capture the effects of cluster size, local volume fraction of particles in the cluster and the distance between clusters as relevant statistical quantities describing the microstructural inhomogeneity of particulate reinforced composites. A quantitative parameter as degree of clustering is defined to consider particle clustering effect.…

Yield (engineering)Materials scienceNon-destructive testing02 engineering and technologyFlow stressPlasticity01 natural sciencesIndustrial and Manufacturing Engineering0103 physical sciencesCluster (physics)von Mises yield criterionsimulointiComposite materialCluster analysista216Plastic deformationkomposiitit010302 applied physicsta114Mechanical EngineeringFinite element analysis (FEA)021001 nanoscience & nanotechnologymikrorakenteetParticle-reinforcementMechanics of MaterialsVolume fractionCeramics and CompositesDeformation (engineering)0210 nano-technologyCOMPOSITES PART B: ENGINEERING
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