SlideShare a Scribd company logo
Effective material properties: fiber reinforced composites
1 Introduction
Engineering stress-strain relations described earlier is based on the concept of effective properties
associated with fiber reinfored composites. This is achieved by relating volume averaged stresses
to volume averaged strains in a representative volume element (RVE) of fiber reinfored composite.
This idea is fundamental to the development of micromechanics. This field is concerned with
determining the effective properties of a material, which accounts for the constituents of the
ingredients that are part of the materials. For example, in the case of fiber reinforced composites
the two ingredients are: (a) matrix and (b) fiber.
2 Relative volume or weight content of constituents in compp-
sites
For any number of constituent materials, n, the sum of the constituent volume fractions must
be unity:
n
i=1
vi = 1 (1)
where vi = Vi/Vc = volume fraction of the ith constituent, Vi = volume of the ith constituent,
and Vc = total volume of the composite.
In many cases, the above equation can be reduced to
vf + vm + vv = 1 (2)
where, vf , vm, vv are the volume fractions of the fiber, matrix and voids, respectively. The
corresponding equations for weight fractions are
n
i=1
wi = 1 (3)
and
wf + wm = 1 (4)
where mi = Wi/Wc = weight fraction of the ith constituent, Wi = weight of the ith con-
stituent, and Wc = total weight of the composite and where, wf andwm are the weight fractions
of the fiber and matrix, respectively.
Figure 1: Representative area elements for idealized square and traingular fiber-packing geome-
tries.
By substituting the product of density and volume for weight in each term above and solving
for the composite density, we get the rule of mixtures:
ρc =
n
i=1
ρivi (5)
or
ρc = rhof vf + rhomvm (6)
where rhoi, ρf , ρm, andρc are the densities of the ith constituent, fiber, matrix and composites,
respectively. The above equations can be rearranged as below
ρc =
1
n
i=1
wi
ρi
(7)
and
ρc =
1
wf
ρf
+ wm
ρm
(8)
The avove equation can also be rearranged so that we get the void volume fraction as
vv = 1 −
(Wf /ρf ) + (Wc − Wf )/ρm
Wc/ρc
(9)
Typical autoclave-cured composites may have void fractions in the range 0.1 − 1%. Without
vaccum bagging, however, volatiles trapped in the composite during cure cycle can cause void
contents of the order of 5%.
Consider representative are elements for idealized fiber packing geometries such as square
and triangular arrays as shown in Fig. 1. It is assumed that fibers are oriented perpendicular
to the page, that the fiber center-to-center spacing ’s’ and the fiber diameter ’d’ do not change
along the length and that the area fractions are equal to the volume fractions. Measurement of
area fractions is possible from photomicrographs and image analysis software.The fiber volume
fraction for the square array is found by dividing the area of fiber enclosed in the shaded square
by the total area of the shaded square:
2
vf =
π
4
d
s
2
(10)
The maximum theoretical fiber volume fraction occurs when s = d. In this case,
vfmax =
pi
4
(11)
A similar calculation for the triangular array shows that
vf =
π
2
√
3
d
s
2
(12)
and when s = d, the maximum fiber volume fraction is
vfmax =
π
2
√
3
(13)
In practice, it is not possible to achieve the above close packing configuration of the fibers
to achieve such high volume fractions. Fiber volume fractions, in general, vary from 0.5 to 0.8.
3 Elementary mechanics of materials models
The objective of this section is to present elementary mechanics of materials models for pre-
dicting four independent effective moduli of an orthotropic continuous fiber-reinforced lamina.
In the elementary mechanics of materials approach to micromechanical modeling, fiber-packing
geometry is not specified, so that the RVE may be a generic composite block consisting of fiber
material bonded to matrix material, as shown in Fig. 2. The constituent volume fractions in the
RVE are assumed to be the same as those in the actual composite. Since it assumed that the
fibers remain parallel and that the dimensions do not change along the length of the element,
the area fractions, must equal the volume fractions. Perfect bonding at the interface is assumed,
so that no slip occurs between fiber and matrix materials. The fiber and matrix materials are
assumed to be linearly elastic and homogeneous. The matrix is assumed to be isotropic, but
the fiber can be either isotropic or orthotropic. Following the concept of RVE, the lamina is
assumed to be macroscopically homogeneous, linear elastic and orthotropic. Volume averaged
stresses and strains are used in this elementary approach.
3.1 Longitudinal modulus
In Fig. 2b the RVE is subjected to a longitudinal normal stress, σc1. The response is governed by
the effective longitudinal modulus, E1. Static equilibrium requires that the total resultant force
on the element must be equal to the sum of forces acting on the fiber and matrix. Combining
the static equilibrium condition with average stress we get the following form
σc1A1 = σf1Af + σm1Am (14)
where subscripts c,f, and m refer to composite, fiber and matrix, respectively, and the second
subscript refers to the direction. Since area fractions are equal to the corresponding volume
3
Figure 2: RVE and simple stress states used in elementary mechanics of materials models. (a)
Representative volume element, (b) longitudinal normal stress, (c) transverse normal stress, and
(d) in-plane shear stress.
4
Figure 3: Variation of composite moduli with fiber volume fraction (a) predicted E1 and E2
from elementary mechanics of materials models and (b) comparison of predicted and measured
E1 for E-glass/polyester.
fractions, the above equation can be rearranged to give the rule of mixture for longitudinal
stress as,
σc1 = σf1vf + σm1vm (15)
Under the assumptions that the matrix is isotropic, that the fiber is orthotropic, and that
all materials follow 1D Hooke’s law, we get
σc1 = E1εc1 σf1 = Ef1εf1 σm1 = Emεm1 (16)
Hence, the rule of mixture of stress equation becomes,
E1εc1 = Ef1εf1vf + Emεm1vm (17)
Note: If fiber and matrix is assumed to be isotropic then we can drop the secod subscript 1
as modulus in 1 and two direction will be same.
The key assumption, due to perfect bonding is that the average displacements and strain in
the composite, fibe and matrix along the 1 direction is same, thus we have
E1 = Ef1vf + Emvm (18)
This equation predicts a linear variation of the longitudinal modulus with fiber volume fraction,
as shown in Fig. 3.
Validity of the key assumption can be assessed by following the strain energy approach. Under
the given state of stress the total strain energy stored in the composite, Uc can be represented
as the sum of the strain energy stored in fibers Uf and the strain energy in the matrix Um.
Uc = Uf + Um (19)
5
The total strain energy can be written in terms of average stress-strain relation as below
Uc =
1
2 Vǫ
σc1εc1dV =
1
2
E1ε2
c1Vc (20)
Uf =
1
2 Vf
σf1εf1dV =
1
2
Ef1ε2
f1Vf (21)
Um =
1
2 Vm
σm1εm1dV =
1
2
Em1ε2
m1Vm (22)
Again, if we assume that strain are equal then we get the rule of mixtures. What happens
if the assumption of equal strain is not made? Let the stresses in the fibers and the matrix be
defined in terms of the composite stress as follows:
σf1 = a1σc1 σm1 = b1σc1 (23)
where, a1andb1 are constants. Substitution of the above equation in the rule of mixtures for
stress gives us
a1vf + b1vm = 1 (24)
Using this in the equation of strain energy terms leads to
1
E1
= a2
1
vf
E2
f1
+ b2
1
vm
E2
m1
(25)
Note that we did not assume equal strains to derive the above equation. However, from
experiments on E-glass/epoxy it was found that the values of a1andb1 were such that it leads to
the fact that strain are equal in fiber, matrix and the composite.
3.2 Transverse modulus
If the RVE in Fig. 2c is subjected to a transverse normal stress σc2, the response is governed by
the effective transversemodulus E2. Geometric compatibility requires that the total transverse
composite displacement δc2 must be equal to the sum of the corresponding displacements in the
fiber δf2 and the matrix δm2
δc2 = δf2 + δm2 (26)
It follows from the definition of normal strain that
δc2 = εc2L2 δf2 = εf2Lf δm2 = εm2Lm (27)
Since the dimensions of the RVE do not change along the 1 direction, the length fractions
must be equal to the volume fractions, and the above equations take the form to get the rule of
mixtures for strain as
εc2 = εf2vf + εm2vm (28)
The 1D Hooke’s laws for this case is
σc2 = E2εc2 σf2 = Ef2εf2 σm2 = Emεm2 (29)
6
Note: The Poisson strain have been neglected.
Using the above constitutive relation in the rule of mixture of strains we get
σc2/E2 = (σf2/Ef2)vf + (σm2/Em2)vm (30)
If we now assume the stresses in the composite, matrix, and the fiber are all equal then we
get the inverse rule of mixtures for the transverse modulus as
1
E2
=
vf
Ef2
+
vm
Em2
(31)
As in the case of longitudinal case, the strain energy approach provides additional insight
into the micromechanics of the transverse loading case. We now express the fiber and matrix
strains in terms of the composite strain as
εf2 = a2εc2 εm2 = b2εc2 (32)
where a2andb2 are constants. Substitution into the compatibility expression leads to
a2vf + b2vm = 1 (33)
Substituting this into the strain energy expression using the constitutive relation leads to the
general form
E2 = a2
2Ef2vf + b2
2Em2vm (34)
Experiments on E-glass/epoxy showed that the values of a2 and b2 did not lead to situation where
the stresses were same in the composite, matrix and fiber. Hence, in general, this assumption
leading to the derivation of inverse rule of mixture is not valid. However, inverse rule of mixture
does give an easy way to determine E2 in a quick way.
3.3 Poisson ratio and Shear modulus
The major Poisson’s ratio, ν12, and the in-plane shear modulus, G12, are most often used as the
two remaining independent elastic constants for the orthotropic lamina. The major Poisson’s
ratio, which is defined as
ν12 = −
εc2
εc1
(35)
when the only non-zero stress is a normal stress along the 1-direction, can be found by solving
the geometric compatibility relationships associated with both 1 and the 2 directions. The result
is another rule of mixtures formula
ν12 = νf12vf + νmvm (36)
The effective in-plane shear modulus is defined as
G12 =
σc12
γc12
(37)
where σc12, γc12 are the average shear stress and strain, respectively. An equation for the
in-plane shear modulus can be derived using an approach similar to that which was used for the
7
Figure 4: Division of RVE into subregions based on square fiber having equivalent fiber volume
fraction.
transverse modulus. That is, geometric compatibility of the shear deformations, along with the
assumption of equal shear stresses in fibers and matrix, leads to another inverse rule of mixtures:
1
G12
=
vf
Gf12
+
vm
Gm
(38)
Note: E1, nu12 determined here are sufficiently accurate for design purpose. However, E2
and G12 are not accurate enough but gives a good first estimation of the material constants.
3.4 Improved mechanics of materials models
A square array of fibers is shown in Fig. ??. The RVE is divided into subregions for more
detailed analysis if we convert to a square fiber having the same area as the round fiber. The
equivalent square shown in Fig. ?? must then have the dimension
sf =
π
4
d (39)
and from the geometry we can also infer the size of the RVE to be
s =
π
4vf
d (40)
The RVE is divided into subregions A and B. In order to find the effective transverse modulus
for the RVE, we first subject the series arrangement of fiber and matrix in subregion B to
a transverse normal stress. Following the procedure described earlier, the effective transverse
modulus for this subregion, EB2, is found to be
1
EB2
=
1
Ef2
sf
s
+
1
Em2
sm
s
(41)
where the matrix dimension is sm = s − sf . It can also be see that
sf
s
=
√
vf
sm
s
= 1 −
√
vf (42)
Hence, EB2 now takes the form
EB2 =
Em2
1 −
√
vf (1 − Em2/Ef2)
(43)
8
The parallel combination of subregions A and B is now loaded by a transverse normal stress and
the procedure described earlier is followed to find the effective transverse modulus of the RVE.
The result is rule of mixture given by
E2 = EB2
sf
s
+ Em
sm
s
(44)
The above expression leads to the form
E2 = Em (1 −
√
vf ) +
√
vf
(1 −
√
vf )(1 − Em2/Ef2)
(45)
A similar result maybe found for G12. Note that here expressions have derived in the general
form assuming properties of fiber and matrix are different along 1 and 2 direction, respectively. If
fiber properties are same in 1 and 2 direction then Ef1 = Ef2 = Ef and if the matrix properites
are same in 1 and 2 direction then Em1 = Em2 = Em.
3.5 Effective properties of thermal and moisture coefficients
Following the procedure used in determining the effective longitudinal modulus and by using
the 1D Hooke’s law given below for a lamina subjected to thermo-mechanical loading along with
exposure to moisture
{ε} = [S] {σ} + {α} ∆T + {β}c (46)
The above expression can be expanded and written in matrix form as below:
Figure 5: Hygrothermal constitutive relation for a lamina
Note: Thermal coefficients and moisture coefficient transform like strains.
The effective thermal and mositure coefficients are determined just like before and they are
given below:
α1 =
Ef1αf1vf + Em1αm1vm
Ef1vf + Em1vm
(47)
α2 = αf2vf + αm2vm (48)
β1 =
Ef1βf1vf + Em1βm1vm
Ef1vf + Em1vm
(49)
β2 = βf2vf + βm2vm (50)
9

More Related Content

What's hot

INTRODUCTION TO FINITE ELEMENT ANALYSIS
INTRODUCTION TO FINITE ELEMENT ANALYSISINTRODUCTION TO FINITE ELEMENT ANALYSIS
INTRODUCTION TO FINITE ELEMENT ANALYSIS
Achyuth Peri
 
Lecture 10 bending stresses in beams
Lecture 10 bending stresses in beamsLecture 10 bending stresses in beams
Lecture 10 bending stresses in beams
Deepak Agarwal
 

What's hot (20)

Fem 1
Fem 1Fem 1
Fem 1
 
Chapter 6: Pure Bending and Bending with Axial Forces
Chapter 6: Pure Bending and Bending with Axial ForcesChapter 6: Pure Bending and Bending with Axial Forces
Chapter 6: Pure Bending and Bending with Axial Forces
 
Unit I Stresses and strain PSG.pptx
Unit I Stresses and strain PSG.pptxUnit I Stresses and strain PSG.pptx
Unit I Stresses and strain PSG.pptx
 
Compatibility equation and Airy's stress function of theory of elasticity
Compatibility equation and Airy's stress function of theory of elasticityCompatibility equation and Airy's stress function of theory of elasticity
Compatibility equation and Airy's stress function of theory of elasticity
 
Stiffness matrix method of indeterminate beam-1
Stiffness matrix method of indeterminate beam-1Stiffness matrix method of indeterminate beam-1
Stiffness matrix method of indeterminate beam-1
 
Shearing stress distribution_in_typical_cross
Shearing stress distribution_in_typical_crossShearing stress distribution_in_typical_cross
Shearing stress distribution_in_typical_cross
 
Finite element method
Finite element methodFinite element method
Finite element method
 
STIFFNESS MATRIX FOR 3-NODE TRIANGULAR ELEMENT
STIFFNESS MATRIX FOR 3-NODE TRIANGULAR ELEMENT STIFFNESS MATRIX FOR 3-NODE TRIANGULAR ELEMENT
STIFFNESS MATRIX FOR 3-NODE TRIANGULAR ELEMENT
 
INTRODUCTION TO FINITE ELEMENT ANALYSIS
INTRODUCTION TO FINITE ELEMENT ANALYSISINTRODUCTION TO FINITE ELEMENT ANALYSIS
INTRODUCTION TO FINITE ELEMENT ANALYSIS
 
Siluvai naadhar yesuvin song- English lyrics.pptx
Siluvai naadhar yesuvin song- English lyrics.pptxSiluvai naadhar yesuvin song- English lyrics.pptx
Siluvai naadhar yesuvin song- English lyrics.pptx
 
Buckling of Columns
 Buckling of Columns Buckling of Columns
Buckling of Columns
 
Classical Lamination Theory
Classical Lamination TheoryClassical Lamination Theory
Classical Lamination Theory
 
isoparametric formulation
isoparametric formulationisoparametric formulation
isoparametric formulation
 
Dynamic Analysis of Slope Stability
Dynamic Analysis of Slope StabilityDynamic Analysis of Slope Stability
Dynamic Analysis of Slope Stability
 
Matrix methods
Matrix methodsMatrix methods
Matrix methods
 
Influence line for indeterminate structures
Influence line for indeterminate structuresInfluence line for indeterminate structures
Influence line for indeterminate structures
 
Lecture 10 bending stresses in beams
Lecture 10 bending stresses in beamsLecture 10 bending stresses in beams
Lecture 10 bending stresses in beams
 
Redistribution of moments-Part-1
Redistribution of moments-Part-1Redistribution of moments-Part-1
Redistribution of moments-Part-1
 
Fundamentals of structural analysis
Fundamentals of structural analysisFundamentals of structural analysis
Fundamentals of structural analysis
 
Basic concepts on structural dynamics
Basic concepts on structural dynamicsBasic concepts on structural dynamics
Basic concepts on structural dynamics
 

Viewers also liked

The use of novel materials to make biomass based fuel pellets compared to tra...
The use of novel materials to make biomass based fuel pellets compared to tra...The use of novel materials to make biomass based fuel pellets compared to tra...
The use of novel materials to make biomass based fuel pellets compared to tra...
Richard Jee
 
Bio w properties & production techniques z wallage
Bio w properties & production techniques z wallageBio w properties & production techniques z wallage
Bio w properties & production techniques z wallage
Tuong Do
 
Biomass Based Products (Biochemicals, Biofuels, Activated Carbon)
Biomass Based Products (Biochemicals, Biofuels, Activated Carbon)Biomass Based Products (Biochemicals, Biofuels, Activated Carbon)
Biomass Based Products (Biochemicals, Biofuels, Activated Carbon)
Ajjay Kumar Gupta
 
Composite materials
Composite materialsComposite materials
Composite materials
JokiYagit
 

Viewers also liked (16)

Biomass
Biomass Biomass
Biomass
 
Laboratory study of the performance of chemical grinding additive on physical...
Laboratory study of the performance of chemical grinding additive on physical...Laboratory study of the performance of chemical grinding additive on physical...
Laboratory study of the performance of chemical grinding additive on physical...
 
Biomass
Biomass Biomass
Biomass
 
The use of novel materials to make biomass based fuel pellets compared to tra...
The use of novel materials to make biomass based fuel pellets compared to tra...The use of novel materials to make biomass based fuel pellets compared to tra...
The use of novel materials to make biomass based fuel pellets compared to tra...
 
Biomass tar properties
Biomass tar propertiesBiomass tar properties
Biomass tar properties
 
USFS Community Biomass Handbook 3, How Wood Energy is Revitalizing Rural Alaska
USFS Community Biomass Handbook 3, How Wood Energy is Revitalizing Rural AlaskaUSFS Community Biomass Handbook 3, How Wood Energy is Revitalizing Rural Alaska
USFS Community Biomass Handbook 3, How Wood Energy is Revitalizing Rural Alaska
 
Bio w properties & production techniques z wallage
Bio w properties & production techniques z wallageBio w properties & production techniques z wallage
Bio w properties & production techniques z wallage
 
Mechanical properties of polymer composite materials
Mechanical properties of polymer composite materialsMechanical properties of polymer composite materials
Mechanical properties of polymer composite materials
 
Ch9 composites Erdi Karaçal Mechanical Engineer University of Gaziantep
Ch9 composites Erdi Karaçal Mechanical Engineer University of GaziantepCh9 composites Erdi Karaçal Mechanical Engineer University of Gaziantep
Ch9 composites Erdi Karaçal Mechanical Engineer University of Gaziantep
 
Biomass Based Products (Biochemicals, Biofuels, Activated Carbon)
Biomass Based Products (Biochemicals, Biofuels, Activated Carbon)Biomass Based Products (Biochemicals, Biofuels, Activated Carbon)
Biomass Based Products (Biochemicals, Biofuels, Activated Carbon)
 
Biomass A Profitable Energy Resource
Biomass   A Profitable Energy ResourceBiomass   A Profitable Energy Resource
Biomass A Profitable Energy Resource
 
Biomass Growing Ppt
Biomass Growing PptBiomass Growing Ppt
Biomass Growing Ppt
 
Composite materials
Composite materialsComposite materials
Composite materials
 
Tensile and Impact Properties of Natural Fiber Hybrid Composite Materials
Tensile and Impact Properties of Natural Fiber Hybrid  Composite MaterialsTensile and Impact Properties of Natural Fiber Hybrid  Composite Materials
Tensile and Impact Properties of Natural Fiber Hybrid Composite Materials
 
Composite materials
Composite materialsComposite materials
Composite materials
 
Biomass energy ppt
Biomass energy pptBiomass energy ppt
Biomass energy ppt
 

Similar to Effective properties of composite materials

Paper_Sound-LineConstraints_CompositePanel
Paper_Sound-LineConstraints_CompositePanelPaper_Sound-LineConstraints_CompositePanel
Paper_Sound-LineConstraints_CompositePanel
Ram Mohan
 

Similar to Effective properties of composite materials (20)

INTRODUCTION TO COMPOSITE MATERIALS
INTRODUCTION TO COMPOSITE MATERIALSINTRODUCTION TO COMPOSITE MATERIALS
INTRODUCTION TO COMPOSITE MATERIALS
 
Composites
CompositesComposites
Composites
 
CH 3.pptx
CH 3.pptxCH 3.pptx
CH 3.pptx
 
Project on multi scale modelling of composite materials
Project on multi scale modelling of composite materialsProject on multi scale modelling of composite materials
Project on multi scale modelling of composite materials
 
Mechanical Behaviour of Materials Assignment Help
Mechanical Behaviour of Materials Assignment HelpMechanical Behaviour of Materials Assignment Help
Mechanical Behaviour of Materials Assignment Help
 
47032417.pdf
47032417.pdf47032417.pdf
47032417.pdf
 
FDMFVMandFEMNotes.pdf
FDMFVMandFEMNotes.pdfFDMFVMandFEMNotes.pdf
FDMFVMandFEMNotes.pdf
 
en_qu_sch
en_qu_schen_qu_sch
en_qu_sch
 
Modeling of elastic properties of laminates
Modeling of elastic properties of laminatesModeling of elastic properties of laminates
Modeling of elastic properties of laminates
 
blasius
blasiusblasius
blasius
 
Basics of Composite Material (QnA)
Basics of Composite Material (QnA) Basics of Composite Material (QnA)
Basics of Composite Material (QnA)
 
Paper_Sound-LineConstraints_CompositePanel
Paper_Sound-LineConstraints_CompositePanelPaper_Sound-LineConstraints_CompositePanel
Paper_Sound-LineConstraints_CompositePanel
 
Particulate loading
Particulate loadingParticulate loading
Particulate loading
 
Finite Element Method
Finite Element MethodFinite Element Method
Finite Element Method
 
Finite Element Method Linear Rectangular Element for Solving Finite Nanowire ...
Finite Element Method Linear Rectangular Element for Solving Finite Nanowire ...Finite Element Method Linear Rectangular Element for Solving Finite Nanowire ...
Finite Element Method Linear Rectangular Element for Solving Finite Nanowire ...
 
Finete Element
Finete ElementFinete Element
Finete Element
 
Lecture12
Lecture12Lecture12
Lecture12
 
Ijciet 08 02_007
Ijciet 08 02_007Ijciet 08 02_007
Ijciet 08 02_007
 
EXPERIMENTAL VERIFICATION OF MULTIPLE CORRELATIONS BETWEEN THE SOIL YOUNG MOD...
EXPERIMENTAL VERIFICATION OF MULTIPLE CORRELATIONS BETWEEN THE SOIL YOUNG MOD...EXPERIMENTAL VERIFICATION OF MULTIPLE CORRELATIONS BETWEEN THE SOIL YOUNG MOD...
EXPERIMENTAL VERIFICATION OF MULTIPLE CORRELATIONS BETWEEN THE SOIL YOUNG MOD...
 
Minimum potential energy
Minimum potential energyMinimum potential energy
Minimum potential energy
 

Recently uploaded

Hall booking system project report .pdf
Hall booking system project report  .pdfHall booking system project report  .pdf
Hall booking system project report .pdf
Kamal Acharya
 
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxCFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
R&R Consult
 
Online blood donation management system project.pdf
Online blood donation management system project.pdfOnline blood donation management system project.pdf
Online blood donation management system project.pdf
Kamal Acharya
 
Digital Signal Processing Lecture notes n.pdf
Digital Signal Processing Lecture notes n.pdfDigital Signal Processing Lecture notes n.pdf
Digital Signal Processing Lecture notes n.pdf
AbrahamGadissa
 
RS Khurmi Machine Design Clutch and Brake Exercise Numerical Solutions
RS Khurmi Machine Design Clutch and Brake Exercise Numerical SolutionsRS Khurmi Machine Design Clutch and Brake Exercise Numerical Solutions
RS Khurmi Machine Design Clutch and Brake Exercise Numerical Solutions
Atif Razi
 

Recently uploaded (20)

The Ultimate Guide to External Floating Roofs for Oil Storage Tanks.docx
The Ultimate Guide to External Floating Roofs for Oil Storage Tanks.docxThe Ultimate Guide to External Floating Roofs for Oil Storage Tanks.docx
The Ultimate Guide to External Floating Roofs for Oil Storage Tanks.docx
 
Cloud-Computing_CSE311_Computer-Networking CSE GUB BD - Shahidul.pptx
Cloud-Computing_CSE311_Computer-Networking CSE GUB BD - Shahidul.pptxCloud-Computing_CSE311_Computer-Networking CSE GUB BD - Shahidul.pptx
Cloud-Computing_CSE311_Computer-Networking CSE GUB BD - Shahidul.pptx
 
Event Management System Vb Net Project Report.pdf
Event Management System Vb Net  Project Report.pdfEvent Management System Vb Net  Project Report.pdf
Event Management System Vb Net Project Report.pdf
 
Courier management system project report.pdf
Courier management system project report.pdfCourier management system project report.pdf
Courier management system project report.pdf
 
A CASE STUDY ON ONLINE TICKET BOOKING SYSTEM PROJECT.pdf
A CASE STUDY ON ONLINE TICKET BOOKING SYSTEM PROJECT.pdfA CASE STUDY ON ONLINE TICKET BOOKING SYSTEM PROJECT.pdf
A CASE STUDY ON ONLINE TICKET BOOKING SYSTEM PROJECT.pdf
 
Hall booking system project report .pdf
Hall booking system project report  .pdfHall booking system project report  .pdf
Hall booking system project report .pdf
 
Architectural Portfolio Sean Lockwood
Architectural Portfolio Sean LockwoodArchitectural Portfolio Sean Lockwood
Architectural Portfolio Sean Lockwood
 
ASME IX(9) 2007 Full Version .pdf
ASME IX(9)  2007 Full Version       .pdfASME IX(9)  2007 Full Version       .pdf
ASME IX(9) 2007 Full Version .pdf
 
BRAKING SYSTEM IN INDIAN RAILWAY AutoCAD DRAWING
BRAKING SYSTEM IN INDIAN RAILWAY AutoCAD DRAWINGBRAKING SYSTEM IN INDIAN RAILWAY AutoCAD DRAWING
BRAKING SYSTEM IN INDIAN RAILWAY AutoCAD DRAWING
 
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxCFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptx
 
Introduction to Machine Learning Unit-4 Notes for II-II Mechanical Engineering
Introduction to Machine Learning Unit-4 Notes for II-II Mechanical EngineeringIntroduction to Machine Learning Unit-4 Notes for II-II Mechanical Engineering
Introduction to Machine Learning Unit-4 Notes for II-II Mechanical Engineering
 
A case study of cinema management system project report..pdf
A case study of cinema management system project report..pdfA case study of cinema management system project report..pdf
A case study of cinema management system project report..pdf
 
Construction method of steel structure space frame .pptx
Construction method of steel structure space frame .pptxConstruction method of steel structure space frame .pptx
Construction method of steel structure space frame .pptx
 
Democratizing Fuzzing at Scale by Abhishek Arya
Democratizing Fuzzing at Scale by Abhishek AryaDemocratizing Fuzzing at Scale by Abhishek Arya
Democratizing Fuzzing at Scale by Abhishek Arya
 
Online blood donation management system project.pdf
Online blood donation management system project.pdfOnline blood donation management system project.pdf
Online blood donation management system project.pdf
 
Digital Signal Processing Lecture notes n.pdf
Digital Signal Processing Lecture notes n.pdfDigital Signal Processing Lecture notes n.pdf
Digital Signal Processing Lecture notes n.pdf
 
fluid mechanics gate notes . gate all pyqs answer
fluid mechanics gate notes . gate all pyqs answerfluid mechanics gate notes . gate all pyqs answer
fluid mechanics gate notes . gate all pyqs answer
 
RS Khurmi Machine Design Clutch and Brake Exercise Numerical Solutions
RS Khurmi Machine Design Clutch and Brake Exercise Numerical SolutionsRS Khurmi Machine Design Clutch and Brake Exercise Numerical Solutions
RS Khurmi Machine Design Clutch and Brake Exercise Numerical Solutions
 
Natalia Rutkowska - BIM School Course in Kraków
Natalia Rutkowska - BIM School Course in KrakówNatalia Rutkowska - BIM School Course in Kraków
Natalia Rutkowska - BIM School Course in Kraków
 
ENERGY STORAGE DEVICES INTRODUCTION UNIT-I
ENERGY STORAGE DEVICES  INTRODUCTION UNIT-IENERGY STORAGE DEVICES  INTRODUCTION UNIT-I
ENERGY STORAGE DEVICES INTRODUCTION UNIT-I
 

Effective properties of composite materials

  • 1. Effective material properties: fiber reinforced composites 1 Introduction Engineering stress-strain relations described earlier is based on the concept of effective properties associated with fiber reinfored composites. This is achieved by relating volume averaged stresses to volume averaged strains in a representative volume element (RVE) of fiber reinfored composite. This idea is fundamental to the development of micromechanics. This field is concerned with determining the effective properties of a material, which accounts for the constituents of the ingredients that are part of the materials. For example, in the case of fiber reinforced composites the two ingredients are: (a) matrix and (b) fiber. 2 Relative volume or weight content of constituents in compp- sites For any number of constituent materials, n, the sum of the constituent volume fractions must be unity: n i=1 vi = 1 (1) where vi = Vi/Vc = volume fraction of the ith constituent, Vi = volume of the ith constituent, and Vc = total volume of the composite. In many cases, the above equation can be reduced to vf + vm + vv = 1 (2) where, vf , vm, vv are the volume fractions of the fiber, matrix and voids, respectively. The corresponding equations for weight fractions are n i=1 wi = 1 (3) and wf + wm = 1 (4) where mi = Wi/Wc = weight fraction of the ith constituent, Wi = weight of the ith con- stituent, and Wc = total weight of the composite and where, wf andwm are the weight fractions of the fiber and matrix, respectively.
  • 2. Figure 1: Representative area elements for idealized square and traingular fiber-packing geome- tries. By substituting the product of density and volume for weight in each term above and solving for the composite density, we get the rule of mixtures: ρc = n i=1 ρivi (5) or ρc = rhof vf + rhomvm (6) where rhoi, ρf , ρm, andρc are the densities of the ith constituent, fiber, matrix and composites, respectively. The above equations can be rearranged as below ρc = 1 n i=1 wi ρi (7) and ρc = 1 wf ρf + wm ρm (8) The avove equation can also be rearranged so that we get the void volume fraction as vv = 1 − (Wf /ρf ) + (Wc − Wf )/ρm Wc/ρc (9) Typical autoclave-cured composites may have void fractions in the range 0.1 − 1%. Without vaccum bagging, however, volatiles trapped in the composite during cure cycle can cause void contents of the order of 5%. Consider representative are elements for idealized fiber packing geometries such as square and triangular arrays as shown in Fig. 1. It is assumed that fibers are oriented perpendicular to the page, that the fiber center-to-center spacing ’s’ and the fiber diameter ’d’ do not change along the length and that the area fractions are equal to the volume fractions. Measurement of area fractions is possible from photomicrographs and image analysis software.The fiber volume fraction for the square array is found by dividing the area of fiber enclosed in the shaded square by the total area of the shaded square: 2
  • 3. vf = π 4 d s 2 (10) The maximum theoretical fiber volume fraction occurs when s = d. In this case, vfmax = pi 4 (11) A similar calculation for the triangular array shows that vf = π 2 √ 3 d s 2 (12) and when s = d, the maximum fiber volume fraction is vfmax = π 2 √ 3 (13) In practice, it is not possible to achieve the above close packing configuration of the fibers to achieve such high volume fractions. Fiber volume fractions, in general, vary from 0.5 to 0.8. 3 Elementary mechanics of materials models The objective of this section is to present elementary mechanics of materials models for pre- dicting four independent effective moduli of an orthotropic continuous fiber-reinforced lamina. In the elementary mechanics of materials approach to micromechanical modeling, fiber-packing geometry is not specified, so that the RVE may be a generic composite block consisting of fiber material bonded to matrix material, as shown in Fig. 2. The constituent volume fractions in the RVE are assumed to be the same as those in the actual composite. Since it assumed that the fibers remain parallel and that the dimensions do not change along the length of the element, the area fractions, must equal the volume fractions. Perfect bonding at the interface is assumed, so that no slip occurs between fiber and matrix materials. The fiber and matrix materials are assumed to be linearly elastic and homogeneous. The matrix is assumed to be isotropic, but the fiber can be either isotropic or orthotropic. Following the concept of RVE, the lamina is assumed to be macroscopically homogeneous, linear elastic and orthotropic. Volume averaged stresses and strains are used in this elementary approach. 3.1 Longitudinal modulus In Fig. 2b the RVE is subjected to a longitudinal normal stress, σc1. The response is governed by the effective longitudinal modulus, E1. Static equilibrium requires that the total resultant force on the element must be equal to the sum of forces acting on the fiber and matrix. Combining the static equilibrium condition with average stress we get the following form σc1A1 = σf1Af + σm1Am (14) where subscripts c,f, and m refer to composite, fiber and matrix, respectively, and the second subscript refers to the direction. Since area fractions are equal to the corresponding volume 3
  • 4. Figure 2: RVE and simple stress states used in elementary mechanics of materials models. (a) Representative volume element, (b) longitudinal normal stress, (c) transverse normal stress, and (d) in-plane shear stress. 4
  • 5. Figure 3: Variation of composite moduli with fiber volume fraction (a) predicted E1 and E2 from elementary mechanics of materials models and (b) comparison of predicted and measured E1 for E-glass/polyester. fractions, the above equation can be rearranged to give the rule of mixture for longitudinal stress as, σc1 = σf1vf + σm1vm (15) Under the assumptions that the matrix is isotropic, that the fiber is orthotropic, and that all materials follow 1D Hooke’s law, we get σc1 = E1εc1 σf1 = Ef1εf1 σm1 = Emεm1 (16) Hence, the rule of mixture of stress equation becomes, E1εc1 = Ef1εf1vf + Emεm1vm (17) Note: If fiber and matrix is assumed to be isotropic then we can drop the secod subscript 1 as modulus in 1 and two direction will be same. The key assumption, due to perfect bonding is that the average displacements and strain in the composite, fibe and matrix along the 1 direction is same, thus we have E1 = Ef1vf + Emvm (18) This equation predicts a linear variation of the longitudinal modulus with fiber volume fraction, as shown in Fig. 3. Validity of the key assumption can be assessed by following the strain energy approach. Under the given state of stress the total strain energy stored in the composite, Uc can be represented as the sum of the strain energy stored in fibers Uf and the strain energy in the matrix Um. Uc = Uf + Um (19) 5
  • 6. The total strain energy can be written in terms of average stress-strain relation as below Uc = 1 2 Vǫ σc1εc1dV = 1 2 E1ε2 c1Vc (20) Uf = 1 2 Vf σf1εf1dV = 1 2 Ef1ε2 f1Vf (21) Um = 1 2 Vm σm1εm1dV = 1 2 Em1ε2 m1Vm (22) Again, if we assume that strain are equal then we get the rule of mixtures. What happens if the assumption of equal strain is not made? Let the stresses in the fibers and the matrix be defined in terms of the composite stress as follows: σf1 = a1σc1 σm1 = b1σc1 (23) where, a1andb1 are constants. Substitution of the above equation in the rule of mixtures for stress gives us a1vf + b1vm = 1 (24) Using this in the equation of strain energy terms leads to 1 E1 = a2 1 vf E2 f1 + b2 1 vm E2 m1 (25) Note that we did not assume equal strains to derive the above equation. However, from experiments on E-glass/epoxy it was found that the values of a1andb1 were such that it leads to the fact that strain are equal in fiber, matrix and the composite. 3.2 Transverse modulus If the RVE in Fig. 2c is subjected to a transverse normal stress σc2, the response is governed by the effective transversemodulus E2. Geometric compatibility requires that the total transverse composite displacement δc2 must be equal to the sum of the corresponding displacements in the fiber δf2 and the matrix δm2 δc2 = δf2 + δm2 (26) It follows from the definition of normal strain that δc2 = εc2L2 δf2 = εf2Lf δm2 = εm2Lm (27) Since the dimensions of the RVE do not change along the 1 direction, the length fractions must be equal to the volume fractions, and the above equations take the form to get the rule of mixtures for strain as εc2 = εf2vf + εm2vm (28) The 1D Hooke’s laws for this case is σc2 = E2εc2 σf2 = Ef2εf2 σm2 = Emεm2 (29) 6
  • 7. Note: The Poisson strain have been neglected. Using the above constitutive relation in the rule of mixture of strains we get σc2/E2 = (σf2/Ef2)vf + (σm2/Em2)vm (30) If we now assume the stresses in the composite, matrix, and the fiber are all equal then we get the inverse rule of mixtures for the transverse modulus as 1 E2 = vf Ef2 + vm Em2 (31) As in the case of longitudinal case, the strain energy approach provides additional insight into the micromechanics of the transverse loading case. We now express the fiber and matrix strains in terms of the composite strain as εf2 = a2εc2 εm2 = b2εc2 (32) where a2andb2 are constants. Substitution into the compatibility expression leads to a2vf + b2vm = 1 (33) Substituting this into the strain energy expression using the constitutive relation leads to the general form E2 = a2 2Ef2vf + b2 2Em2vm (34) Experiments on E-glass/epoxy showed that the values of a2 and b2 did not lead to situation where the stresses were same in the composite, matrix and fiber. Hence, in general, this assumption leading to the derivation of inverse rule of mixture is not valid. However, inverse rule of mixture does give an easy way to determine E2 in a quick way. 3.3 Poisson ratio and Shear modulus The major Poisson’s ratio, ν12, and the in-plane shear modulus, G12, are most often used as the two remaining independent elastic constants for the orthotropic lamina. The major Poisson’s ratio, which is defined as ν12 = − εc2 εc1 (35) when the only non-zero stress is a normal stress along the 1-direction, can be found by solving the geometric compatibility relationships associated with both 1 and the 2 directions. The result is another rule of mixtures formula ν12 = νf12vf + νmvm (36) The effective in-plane shear modulus is defined as G12 = σc12 γc12 (37) where σc12, γc12 are the average shear stress and strain, respectively. An equation for the in-plane shear modulus can be derived using an approach similar to that which was used for the 7
  • 8. Figure 4: Division of RVE into subregions based on square fiber having equivalent fiber volume fraction. transverse modulus. That is, geometric compatibility of the shear deformations, along with the assumption of equal shear stresses in fibers and matrix, leads to another inverse rule of mixtures: 1 G12 = vf Gf12 + vm Gm (38) Note: E1, nu12 determined here are sufficiently accurate for design purpose. However, E2 and G12 are not accurate enough but gives a good first estimation of the material constants. 3.4 Improved mechanics of materials models A square array of fibers is shown in Fig. ??. The RVE is divided into subregions for more detailed analysis if we convert to a square fiber having the same area as the round fiber. The equivalent square shown in Fig. ?? must then have the dimension sf = π 4 d (39) and from the geometry we can also infer the size of the RVE to be s = π 4vf d (40) The RVE is divided into subregions A and B. In order to find the effective transverse modulus for the RVE, we first subject the series arrangement of fiber and matrix in subregion B to a transverse normal stress. Following the procedure described earlier, the effective transverse modulus for this subregion, EB2, is found to be 1 EB2 = 1 Ef2 sf s + 1 Em2 sm s (41) where the matrix dimension is sm = s − sf . It can also be see that sf s = √ vf sm s = 1 − √ vf (42) Hence, EB2 now takes the form EB2 = Em2 1 − √ vf (1 − Em2/Ef2) (43) 8
  • 9. The parallel combination of subregions A and B is now loaded by a transverse normal stress and the procedure described earlier is followed to find the effective transverse modulus of the RVE. The result is rule of mixture given by E2 = EB2 sf s + Em sm s (44) The above expression leads to the form E2 = Em (1 − √ vf ) + √ vf (1 − √ vf )(1 − Em2/Ef2) (45) A similar result maybe found for G12. Note that here expressions have derived in the general form assuming properties of fiber and matrix are different along 1 and 2 direction, respectively. If fiber properties are same in 1 and 2 direction then Ef1 = Ef2 = Ef and if the matrix properites are same in 1 and 2 direction then Em1 = Em2 = Em. 3.5 Effective properties of thermal and moisture coefficients Following the procedure used in determining the effective longitudinal modulus and by using the 1D Hooke’s law given below for a lamina subjected to thermo-mechanical loading along with exposure to moisture {ε} = [S] {σ} + {α} ∆T + {β}c (46) The above expression can be expanded and written in matrix form as below: Figure 5: Hygrothermal constitutive relation for a lamina Note: Thermal coefficients and moisture coefficient transform like strains. The effective thermal and mositure coefficients are determined just like before and they are given below: α1 = Ef1αf1vf + Em1αm1vm Ef1vf + Em1vm (47) α2 = αf2vf + αm2vm (48) β1 = Ef1βf1vf + Em1βm1vm Ef1vf + Em1vm (49) β2 = βf2vf + βm2vm (50) 9