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Engineering Equations for Engineering Equations for

Engineering Equations for - PowerPoint Presentation

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Engineering Equations for - PPT Presentation

Strength and Modulus of Particulate Reinforced Composite Materials ME 7501 Reinforced Composite Materials Lecture 3 Part 2 Particulate Reinforcement Example idealized cubic array of spherical particles ID: 360965

particle composites strength modulus composites particle modulus strength particulate volume fraction reinforced composite particles equations matrix young

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Slide1

Engineering Equations for Strength and Modulus of Particulate Reinforced Composite Materials

M.E. 7501 – Reinforced Composite Materials

Lecture 3 – Part 2Slide2

Particulate Reinforcement

Example: idealized cubic

array of spherical particlesSlide3

Flexural stress-strain curves for 30 µm glass bead-reinforced epoxy composites of various

bead volume fractions. (From Sahu, S., and Broutman, L. J. 1972.

Polymer Engineering

and Science

, 12(2), 91-100. With permission.)

Experiments show that, for

typical micron-sized particulate

reinforcement, as the particle

volume fraction increases, themodulus increases but strengthand elongation decrease

Experimental observations on effects of

particulate reinforcementSlide4

(6.65)

Yield strength of particulate composites

Nicolais-Narkis semi-empirical equation for case

with no bonding between particles and matrix

where

S

yc

is the yield strength of the composite

S

ym

is the yield strength of the matrix material

v

p

is the volume fraction of particles

the coefficient 1.21 and the exponent 2/3 are selected so as to insure

that

S

yc

decreases with increasing

v

p

, that

S

yc

= S

ym

when

v

p

=0

,

and

that

S

yc

=0 when

v

p

=0.74 , the particle volume fraction corresponding

to the maximum packing fraction for spherical particles of the same

size in a hexagonal close packed arrangementSlide5

Liang – Li equation includes particle – matrix

interfacial adhesion

(6.66)

where

θ

is the interfacial bonding angle,

θ

= 0

o

corresponds to good adhesion, and

θ

= 90

o

corresponds to poor adhesionSlide6

Finite element models for particulate composites

Finite element models for spherical particle reinforced composite.

(From Cho, J., Joshi, M. S., and Sun, C. T. 2006.

Composites Science and Technology

,

66, 1941-1952. With permission)

development of axisymmetric RVE

axisymmetric finite element models of RVESlide7

Modulus of particulate composites

Katz -Milewski and Nielsen-Landel generalizations of

the Halpin-Tsai equations

(6.67)

where Slide8

and where

is the Young’s modulus of the composite

is the Young’s modulus of the particle

is the Young’s modulus of the matrix is the Einstein coefficient is the particle volume fraction is the maximum particle packing fractionSlide9

Semi empirical Models

Use empirical equations which have a theoretical basis in mechanics

Halpin-Tsai Equations

(3.63)

Where

(3.64)Slide10

And curve-fitting parameter

2 for

E

2 of square array of circular fibers 1 for

G12As Rule of Mixtures

As Inverse Rule of Mixtures Slide11

Comparison of predicted and measured values of Young’s modulus for glass

microsphere-reinforced polyester composites of various particle volume fractions.Slide12

Improvement of mechanical properties of conventional unidirectional E-glass/epoxy composites

by using silica nanoparticle-enhanced epoxy matrix. (a) off-axis compressive strength. (b) transverse

tensile strength and transverse modulus. (From Uddin, M. F., and Sun, C. T. 2008.

Composites

Science and Technology

, 68(7-8), 1637-1643. With permission.)

Hybrid multiscale reinforcements