Effects of particle clustering on the plastic deformation and damage initiation of particulate reinforced composite utilizing X-ray CT data and finite element modeling

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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 finite element modeling. / Nafar Dastgerdi, J.; Anbarlooie, B.; Miettinen, A.; Hosseini-Toudeshky, H.; Remes, H.

julkaisussa: Composites Part B: Engineering, Vuosikerta 153, 15.11.2018, s. 57-69.

Tutkimustuotos: Lehtiartikkelivertaisarvioitu

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Bibtex - Lataa

@article{e64f81eb5f4943869226784496662465,
title = "Effects of particle clustering on the plastic deformation and damage initiation of particulate reinforced composite utilizing X-ray CT data and finite element modeling",
abstract = "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. The results indicate that the damage growth rate of composite with higher degree of clustering is significantly higher than those composites with lower degree of clustering. It is found that for region with higher degree of clustering and bigger size of clusters, the von Mises stress is higher at the same loading condition and the growth rate of plastic flow is considerably higher than the other region with lower degree of clustering. Moreover, the dislocation description of deformation in two-phase materials rationalize particle clustering effect on the yield behavior of the particulate reinforced composites and the flow stress in these composites. The macroscopic stresses that lead to the initial yielding in the matrix decrease when clusters closely proximate with bigger size and higher degree of clustering.",
keywords = "Finite element analysis (FEA), Non-destructive testing, Particle-reinforcement, Plastic deformation",
author = "{Nafar Dastgerdi}, J. and B. Anbarlooie and A. Miettinen and H. Hosseini-Toudeshky and H. Remes",
year = "2018",
month = "11",
day = "15",
doi = "10.1016/j.compositesb.2018.07.027",
language = "English",
volume = "153",
pages = "57--69",
journal = "Composites Part B: Engineering",
issn = "1359-8368",
publisher = "Elsevier Limited",

}

RIS - Lataa

TY - JOUR

T1 - Effects of particle clustering on the plastic deformation and damage initiation of particulate reinforced composite utilizing X-ray CT data and finite element modeling

AU - Nafar Dastgerdi, J.

AU - Anbarlooie, B.

AU - Miettinen, A.

AU - Hosseini-Toudeshky, H.

AU - Remes, H.

PY - 2018/11/15

Y1 - 2018/11/15

N2 - 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. The results indicate that the damage growth rate of composite with higher degree of clustering is significantly higher than those composites with lower degree of clustering. It is found that for region with higher degree of clustering and bigger size of clusters, the von Mises stress is higher at the same loading condition and the growth rate of plastic flow is considerably higher than the other region with lower degree of clustering. Moreover, the dislocation description of deformation in two-phase materials rationalize particle clustering effect on the yield behavior of the particulate reinforced composites and the flow stress in these composites. The macroscopic stresses that lead to the initial yielding in the matrix decrease when clusters closely proximate with bigger size and higher degree of clustering.

AB - 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. The results indicate that the damage growth rate of composite with higher degree of clustering is significantly higher than those composites with lower degree of clustering. It is found that for region with higher degree of clustering and bigger size of clusters, the von Mises stress is higher at the same loading condition and the growth rate of plastic flow is considerably higher than the other region with lower degree of clustering. Moreover, the dislocation description of deformation in two-phase materials rationalize particle clustering effect on the yield behavior of the particulate reinforced composites and the flow stress in these composites. The macroscopic stresses that lead to the initial yielding in the matrix decrease when clusters closely proximate with bigger size and higher degree of clustering.

KW - Finite element analysis (FEA)

KW - Non-destructive testing

KW - Particle-reinforcement

KW - Plastic deformation

UR - http://www.scopus.com/inward/record.url?scp=85050206257&partnerID=8YFLogxK

U2 - 10.1016/j.compositesb.2018.07.027

DO - 10.1016/j.compositesb.2018.07.027

M3 - Article

VL - 153

SP - 57

EP - 69

JO - Composites Part B: Engineering

JF - Composites Part B: Engineering

SN - 1359-8368

ER -

ID: 26912157