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Mechanical Characterization and Modeling of Poly(b-hydroxybutyrate)-co-poly(b-hydroxyvalerate)–AlfaFiber-Reinforced Composites
Ridha Ben Cheikh,1 Aaron Michel,2 Sarah Billington2
1Universit�e Tunis El Manar, Ecole Nationale d’Ing�enieurs de Tunis, Campus El Manar, 1002 Tunis, Tunisia
2Department of Civil and Environmental Engineering, Stanford University, Stanford, California
The mechanical properties of biobased composites ofpoly(b-hydroxybutyrate)-co-poly(b-hydroxyvalerate) bio-polymer continuously reinforced with unidirectionalAlfa fibers are investigated via tensile testing of ori-ented composite laminates. Simple mechanical modelsfor the elastic stiffness, strength, and nonlinear hard-ening of the biobased composites are proposed withan emphasis on techniques that only require the inde-pendent properties of the fiber and matrix to facilitatecomposite design. Rule of mixtures (ROM) approachesare found to effectively predict the elastic properties ofthe composites but generally overestimate strength.Modified ROM approaches that discount the contribu-tion of the matrix in the fiber loading direction and thecontribution of the fiber in the transverse loadingdirection provide the most accurate strength predic-tions. Apparent elastic properties for composites withvarying fiber orientations are predicted using a modi-fied orthotropic laminate plate method which wasfound to overestimate composite stiffness in off-axisloading directions. Postyield nonlinear hardening ismodeled using a calibrated continuum yield and plas-ticity model and demonstrated to provide a closematch of the experimental results. POLYM. COMPOS.,00:000–000, 2014. VC 2014 Society of Plastics Engineers
INTRODUCTION
Motivation and Background
Synthetic plastics and composite materials are integral
to a variety of engineering applications, but increasing
social concern over the negative impact of primarily
petroleum-derived plastics on the environment has moti-
vated the development of biobased alternatives. Although
partially biobased materials, such as wood plastic compo-
sites, are already widely used [1, 2], fully biobased plas-
tics and composites are still emerging technologies. An
interesting subset of biobased materials is comprised of
rapidly renewable composites made from bacterially syn-
thesized polyhydroxyalkanoates and natural fibers. These
composites have been proposed within a closed-loop life-
cycle in which the degradation of the biobased materials
produces a biogas which can be collected and used as a
fuel source or feedstock to grow more biopolymer [3].
Engineered Biobased Composites
Biobased composites with continuous unidirectional
fiber reinforcement have been broadly investigated for
use in construction, automotive, and industrial applications
[4–6]. Continuously reinforced composites typically exhibit
superior mechanical properties when compared with those
reinforced with discontinuous or short fibers, especially in
the direction of the continuous reinforcing [7]. Continu-
ously reinforced uniaxial composites are most commonly
used when high strength or stiffness is required in one of
the principal loading orientations of a structure.
Proposed Applications
Biobased composites can be designed to have stiffness
and strength properties suitable for many engineering
applications, including transportation, biomedical devices,
packaging, and construction [8]. Construction is a particu-
larly attractive market for biobased materials because of
high turnover rates to landfills [9, 10]. The variety of
potential uses for biobased composites requires the opti-
mization of their mechanical material properties for spe-
cific design applications. To this end, the development of
practical design tools and modeling techniques is essential
for predicting the performance of biobased materials and
facilitating their acceptance in industry.
Correspondence to: Aaron Michel; e-mail: [email protected]
Contract grant sponsor: The United States EPA STAR and Fulbright
Fellowship Programs.
DOI 10.1002/pc.22829
Published online in Wiley Online Library (wileyonlinelibrary.com).
VC 2014 Society of Plastics Engineers
POLYMER COMPOSITES—2014
In this research, the mechanical properties of compo-
sites of poly(b-hydroxybutyrate)-co-poly(b-hydroxyvaler-
ate) (PHBV) continuously reinforced with Alfa fibers are
investigated. Elastic stiffness and ultimate strength models
are proposed with an emphasis on simple predictive tech-
niques which use the independent mechanical properties
of the fibers and matrix.
MATERIALS
Alfa (Esparto) Fibers
Alfa, commonly known as esparto grass or Stipa tena-
cissima plant, is widely cultivated in the dry climates of
northern Africa and the southern Iberian Peninsula. In
Tunisia, for example, it covers approximately 3,500 km2
and has an annual production of 60,000 kg [11]. Alfa is a
heterogeneous polymer composed principally of cellulose
(45%), hemicelluloses (25%), lignin (23%), and wax
(5%) [12] and is primarily used in the production of high-
quality papers, ropes, and carpets because of its advanta-
geously high strength and stiffness.
Alfa fibers are extracted from the stem using a process
which consists of boiling the plant in sodium hydroxide
(NaOH) and subsequently bleaching the fiber in sodium
hypochlorite (NaClO). The duration of each processing
step is known to impact the mechanical integrity of the
resulting fibers. For example, extended heating and
bleaching treatment times yield short and fine fibrils,
whereas shorter processing intervals result in long and
light fibers with good mechanical properties [13]. The
Alfa fibers used in this work were obtained using an opti-
mized extraction process consisting of boiling the stem
for 2 h in a 3 N NaOH solution at 100�C and atmospheric
pressure, and then bleaching the resulting fibers in a 40%
NaClO aqueous solution for 1 h [13–15]. The resulting
fibers were approximately 350 mm long. The directional
mechanical properties of the fibers are reported in Table
1 and correspond to the material orientation defined in
Fig. 1.
PHBV
Poly(b-hydroxybutyrate) (PHB) is an isotactic aliphatic
polyester synthesized by bacteria as a carbon storage
mechanism. The intracellular polymer can be harvested
and processed for engineering applications, such as com-
modity plastics, biomedical devices, and composites.
PHBV is synthesized by copolymerization of hydroxybu-
tyrate with hydroxyvalerate, which is useful for increasing
the flexibility, processability, and thermal stability of neat
PHB [16].
Pelletized PHBV polymer was obtained from TiananVR
(Enmat-Y1000P); reported tensile properties for Y1000P
are provided in Table 1. The Y1000P was blended with
an unreported amount of proprietary nucleating agents by
the manufacturer to improve melt processing [17].
EXPERIMENTAL METHODS AND RESULTS
Experimental Methods
Composite Manufacture. Pelletized PHBV was proc-
essed using a Brabender Plasti-CorderVR
extruder operated
FIG. 1. Schematic of the composite fiber–matrix ply layup sequence and representative tensile response for
PHBV–Alfa fiber composites loaded in the x, xy, and y directions.
TABLE 1. Ranges of elastic properties for PHBV [19] and Alfa fiber
[13].
Property PHBV Alfa fiber
Ex (MPa) 2,800–3,500 21,500–23,300
Ey (MPa) 2,800–3,500 5,300–6,200
Gxy (MPa) 1,070–1,380 3,590–3,860
txy 0.27–0.30 0.34
rx,u (MPa) 31–34 187–306
ry,u (MPa) 31–34 29–31
ex,u (%) 2.5–4.0 1.5–2.4
ey,u (%) 2.5–4.0 0.26–0.34
Ei 5 tensile modulus, Gij 5 shear modulus, mij 5 Poisson’s ratio,
ri,u 5 ultimate tensile stress, and ei,u 5 ultimate tensile strain.
2 POLYMER COMPOSITES—2014 DOI 10.1002/pc
at 25 rpm with a heating profile ranging from 160�C at
the hopper to 150�C at the die. Extruded 50.8 3 1 mm
films were combined with unidirectional Alfa fibers via
compression molding on a 267-kN PHIVR
hot press. The
Alfa fibers were oriented relative to their respective load-
ing direction and held using double-sided tape before
melt compounding. The composites were then hot pressed
at 207 kPa for 4–6 min, whereas both top and
bottom heating platens were maintained at 180�C. After
compression molding, the composites were cooled at
room temperature under a 15-kg weight for 24 h. The
resulting two-ply PHBV–Alfa fiber composite sheets
had thicknesses, which ranged between 3.2 and 4.0 mm,
and fiber volume fractions, which ranged between
20 and 27%. Tensile specimens consistent with ASTM
D638 [18] were cut from the composite sheets using a
band saw.
Fiber Volume Fraction Measurement. Fiber weight
fractions were calculated using the mass of the fibers and
matrix before composite processing. The weight fraction
was confirmed after processing by dissolving the compos-
ite samples in chloroform at 80�C and massing the
remaining insoluble Alfa fibers. Fiber weight fractions
were converted to volume fractions using the known den-
sities of the Alfa fiber (1.4 g/cm3 [14]) and PHBV poly-
mer (1.25 g/cm3 [19]).
Mechanical Testing and Measurement. Uniaxial
mechanical properties were determined via tension testing
using an MTS 858 table-top hydraulic actuator. Tensile
stresses were calculated using a 14.7-kN load cell and
average cross-sectional areas; tensile strains were meas-
ured directly with a 50.8 mm extensometer (MTS, Model
Number 634.12F-24). The force resolution of the load
cell is 60.5% of the applied load, and the strain resolu-
tion of the extensometer is 60.18% of the applied dis-
placement. Engineering stress and strain are reported in
place of true stress and strain with negligible loss of
accuracy due to the brittle nature of the composites (i.e.,
<5% elongation at break).
Experimental Results. Herein, the x–y plane illustrated
in Fig. 1 defines the consistent material coordinate sys-
tem, where x is oriented parallel to the fiber axis and y is
oriented perpendicular to the fiber axis. The 1-2 plane
defines the tensile loading coordinate system, which
rotates clockwise about the z-axis by the angle h with
respect to the x-axis. Tensile loading is coincident with
the 1 direction.
Average elastic and ultimate strength constants, and
their corresponding coefficients of variation, are provided
in Table 2 for the PHBV–Alfa fiber composites. Average
composite volume fractions were 27, 20, and 20% for the
x (h 5 0�), y (h 5 90�), and xy (h 5 45�) oriented com-
posites, respectively. Differences in the composite volume
fractions are attributed to manufacturing variances; how-
ever, volume fraction variation is accounted for in the
mechanical analysis of all composites. A total of five rep-
licate composite specimens were tested in each fiber
orientation.
The tensile modulus is calculated as the chord between
points defined at 5 and 15% of the ultimate composite
strength and is indicated on each stress–strain curve in
Fig. 1. Approximate yield values of 36.3, 10.6, and 10.0
MPa for the x, y, and xy specimens, respectively, were
defined at the point where the instantaneous tensile modu-
lus deviated from the initial elastic modulus by 5%. A
mixture of fiber breakage and pullout (Fig. 2) character-
ized the ultimate failure of the composites, indicating
nonuniform fiber–matrix mechanical bond compatibility
at break. The composites also exhibited considerable post-
yield nonlinear hardening before failure.
TABLE 2. Experimentally determined composite material properties.
Material property Mean CV (%)
Ex 8,629 MPa 6.4
Ey 2,990 MPa 14.2
Gxy 1,234 MPa 3.8
txy 0.315 8.5
rx,u 64.3 MPa 8.2
ry,u 14.0 MPa 9.9
sxy,u 9.80 MPa 10.1
Ex,u 0.015 7.4
Ey,u 0.006 20.1
cxy,u 0.020 27.8
Ei 5 tensile modulus, Gij 5 shear modulus, mij 5 Poisson’s ratio, ri,u 5
ultimate tensile stress, sij,u 5 ultimate shear stress, ei,u 5 tensile strain at
ultimate, and cij,u 5 shear strain at ultimate.
FIG. 2. Typical failure modes for composites with alfa fibers oriented
in the x (u 5 0�), y (u 5 90�), and xy (u 5 45�) directions. [Color fig-
ure can be viewed in the online issue, which is available at wileyonline-
library.com.]
DOI 10.1002/pc POLYMER COMPOSITES—2014 3
MODELING METHODS AND RESULTS
Modeling Methods
Several modeling approaches were used to calculate
the elastic and ultimate strength properties of the compo-
sites. A focus on rule of mixtures (ROM) methods
reflects the objective of using predictive models that rely
only on the properties of the polymer matrix and reinforc-
ing fibers. Nonlinear hardening properties were also mod-
eled using a calibrated continuum method.
Elasticity Models
The underlying isostrain and isostress assumptions of
elastic laminated composite analysis are shown in Fig. 3. In
the isostrain state (Fig. 3a), displacement compatibility is
enforced between each ply of a composite material,
whereas the stress in each layer is allowed to vary. In the
isostress state (Fig. 3b), force compatibility is enforced
between each ply, whereas the strain between layers is
allowed to vary. Common mechanical analogs for isostrain
and isostress are springs in parallel and series, respectively.
ROM
The ROM method is a basic geometric approach for
estimating the elastic and strength properties of a compos-
ite material using known constituent volume fractions and
mechanical constants. The ROM principle is shown in
Fig. 3 and is provided explicitly for the elastic modulus
(Ei, Gij) in Eqs. 1–3 [20].
ECx 5EF
x VF1EMð12VFÞ (1)
ECy 5
VF
EFy
1ð12VFÞ
EM
" #21
(2)
GCxy5
VF
GFxy
1ð12VFÞ
GM
" #21
(3)
Here, the subscripts represent the material orientation
(see Fig. 1) and the superscripts C, F, and M correspond
to the composite, fiber, and matrix, respectively.
Oriented Orthotropic Elasticity
Composite materials generally exhibit orthotropic elas-
ticity, which, for thin planar materials, can be character-
ized using the following plane stress, transversely
isotropic constitutive relationship:
rx
ry
rxy
8>><>>:
9>>=>>;5Ce
eex
eey
cexy
8>><>>:
9>>=>>; (4)
Ce5
E2x
Ex2Eym2xy
ExEymxy
Ex2Eym2xy
0
ExEymxy
Ex2Eym2xy
ExEy
Ex2Eym2xy
0
0 0 Gxy
266666664
377777775
(5)
Here, rx, ry, and rxy and eex, ee
y, and cexy are the ply
level elastic stresses and strains, respectively, in the x, yand xy directions. Ce represents the ply level stiffness
matrix, which is populated with the elastic constants of
each composite ply. The ply level properties can then be
transformed using a suitable rotation matrix to predict the
apparent stiffness, �Ce, of the composite subjected to load-
ing in any direction h as follows:
�Ce5T21CeðT21ÞT (6)
Where:
T5
cos 2h sin 2h 2sin hcos h
sin 2h cos 2h 22sin hcos h
2sin hcos h sin hcos h cos 2h2sin 2h
2664
3775 (7)
The apparent composite stiffness can then be deter-
mined using the stiffness of each oriented composite ply
and the laminate sequence. This procedure is commonly
referred to as classical laminate plate theory (CLPT)
[20]. The implementation of CLPT in this research is
similar to the isostrain ROM approach, in which the indi-
vidual elastic properties of the fiber and matrix are
assigned to alternating plies and the ply sequence is
determined by the known composite geometry and fiber
volume fraction.
Eq. 6 can be solved directly to obtain useful equations
for relating the oriented ply level material properties to
the apparent elastic properties of a composite material.
Expressions for the apparent stiffness and Poisson’s ratio
in any loading direction h are given by:
E1ðhÞ5cos 4h
Ex1
sin 4hEy
1sin 2hcos 2h1
Gxy2
2mxy
Ex
� �� �21
(8)
FIG. 3. (a) Isostrain and (b) isostress models for layered composite
materials.
4 POLYMER COMPOSITES—2014 DOI 10.1002/pc
m12ðhÞ5E1ðhÞmxy
Exðcos 4h1sin 4hÞ
�
2cos 2hsin 2h1
Ex1
1
Ey2
1
Gxy
� �� (9)
Ultimate Strength and Nonlinear Hardening Models
Five strength prediction models are evaluated for
PHBV–Alfa fiber composites. These methods range from
ROM models to techniques that incorporate the statistical
distribution of fiber strength and the impact of progres-
sive damage and fiber load redistribution. The investi-
gated models estimate strength using the material
properties of the matrix and reinforcing fibers alone. A
calibrated orthotropic nonlinear hardening model and
associated failure criterion are also demonstrated.
ROM and Modified ROM
The isostress and isostrain assumptions of the ROM
model established in section Elasticity Models can be
modified to predict composite ultimate tensile strength
(ri,u) as follows:
rCx;u5rF
x;uVF1rMu ð12VFÞ (10)
rCy;u5
VF
rFy;u
1ð12VFÞ
rMu
" #21
(11)
The ROM model for strength assumes that the matrix
and fiber maintain bond compatibility up to failure and
discounts the contribution of matrix cracking. Therefore,
the ROM model is considered an upper bound estimate of
composite strength.
A simplified modified rule of mixtures (MROM)
model for strength is also proposed. In the MROM model,
composite failure in the fiber (x) direction is controlled
by the volume fraction and strength of the fiber alone,
whereas in the transverse (y) direction strength is con-
trolled by the volume fraction and ultimate strength of
the matrix alone, as defined in Eqs. 12 and 13.
rCx;u � rF
x;uVF (12)
rCy;u � rM
u ð12VFÞ (13)
The MROM model assumes poor bond compatibility
in each loading direction and effectively establishes a
lower bound strength prediction.
Global Load-Sharing and Simultaneous Fiber Failure
The strength of unidirectional continuously reinforced
composites can alternatively be estimated using a global
load-sharing (GLS) principle. GLS is a statistical method
that accounts for progressive fiber failure and subsequent
fiber load redistribution by shear lag through the compos-
ite matrix [21]. In the GLS model, the strength of a com-
posite loaded in the fiber direction is controlled by the
strength of the reinforcing fibers, which are statistically
characterized by the Weibull distribution [21, 22]. Wei-
bull parameters r0, L0, and m, and the fiber-matrix inter-
facial shear strength, s, and the average fiber diameter, D,
are used to estimate the composite strength as follows:
rCx;u5VF3rc
m11
m12
� �2
m12
� �1=m11
(14a)
Where rc is considered the critical fiber stress and is
given by:
rc52rm
0 sL0
D
� �1=m11
(14b)
The GLS model, which is known to overestimate the
strength of many composites that exhibit damage localiza-
tion, was modified to account for simultaneous fiber fail-
ure (SFF) initiated by a weak fiber within a group [22].
The SFF model uses the interaction between the strengths
of the fiber, matrix, and fiber–matrix interface to quantify
a number of SFFs within an arbitrary region of the com-
posite. The SFF method can be summarized by the fol-
lowing modified composite strength equation:
rCx;u5VF3rc
m11
m12
� �2
m12
1
n2
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiVF1n21
VF
r� �1=ðm11Þ
(15a)
where,
ln ðnÞ5alnsffiffiffiffiffiffiffiffiffiffiffi
r0rMu
p !
1b (15b)
The parameter n is defined as the number of SFFs. It
has been suggested that n can be approximated as a loga-
rithmic function of the geometric average of the fiber–
matrix interface strength and fitting parameters a and b[22]. Other statistical models, such as local load-sharing
[23], have also been demonstrated to have robust strength
prediction capabilities but require more rigorous analysis
and empirical calibration and are not investigated here.
Cooper and Kelly Transverse Model
Transverse composite strength can alternatively be pre-
dicted using a model developed by Cooper and Kelly
(C–K) for low fiber volume fraction composites with
weak transverse matrix–fiber bonding [24]. The C–K
model predicts failure at points of minimum matrix thick-
ness, which are calculated using a simple volumetric rela-
tionship that assumes an average fiber spacing based on
an estimated cylindrical fiber packing density derived
DOI 10.1002/pc POLYMER COMPOSITES—2014 5
from the fiber volume fraction. The transverse composite
strength can then be estimated as:
rCy;u5rM
u 12
ffiffiffiffiffiffiffiffi4VF
p
r !(16)
Orthotropic Nonlinear Hardening and Failure Crite-
rion. Nonlinear behavior in composites is generally an
artifact of the progressive failure of elastic plies throughout
the thickness of a laminate, which results in gradual stiff-
ness degradation before ultimate failure. This phenomenon
is commonly modeled by defining a suitable criterion that
dictates the failure of an individual ply, such as those pro-
posed by Hill, Hoffman, Tsai-Wu, and Hashin [25, 26].
Damage and nonlinearity is captured by updating the com-
posite stiffness matrix as the failure state of each ply is
exceeded. For composites that exhibit nonlinear fiber and
matrix constitutive behavior, damage-based strength mod-
els are insufficient for capturing composite nonlinearity.
Continuum plasticity techniques use a yield surface and
appropriate hardening model to define the evolution of the
yield surface. Although plasticity models can provide accu-
rate performance predictions, they are potentially limiting
because of the need for significant empirical calibration.
The simplified plasticity formulation used in this work
is proposed by Sun and Chen [27] and requires a single
shear parameter to define the anisotropic yield surface
and plastic hardening behavior. The Sun–Chen model
assumes linear elasticity in the fiber direction and uses
the following yield condition:
2f 5r2y12a66r
2xy (17)
where 2f is the effective yield condition and a66 is a shear
parameter. Equation 17 leaves a single coefficient, a66, to
be determined using a minimum of two off-axis tension
tests. Experimental stresses, r1, and plastic strains, ep1, in the
loading direction are converted to effective stresses, �r, and
plastic strains, �ep, using an associative flow rule as follows:
�r5hðhÞr1 and �ep ep1
hðhÞ (18)
where h(h) is given by:
hðhÞ5 3
2ðsin 4h12a66sin 2hcos 2hÞ
� �1=2
(19)
The relationship between the effective stresses and plas-
tic strains is then described by a power law of the form:
�ep5Að�rÞn (20)
where A and n are exponential terms determined by linear
regression of the logarithmic effective plastic strain ver-
sus effective stress curve. The parameter a66 is iterated by
either trial-and-error or a linear optimization procedure
until the values of A and n converge for a minimum of
two off-axis tensile tests. After A, n, and a66 are deter-
mined, the tensile constitutive response of a composite
with any fiber orientation h can be predicted as follows:
e15r1
E1
1½hðhÞ�n11Arn1 (21)
An extension of the plasticity model is a failure crite-
rion proposed by Sun, Chung, and Chang [28], which is
also defined by a single shear parameter, a�66. The failure
criterion, which is similarly calibrated using the results of
two off-axis tension tests, takes the form:
k2cr5r2
y12a�66r2xy; where kcr5ry;u (22)
Modeling Results
Elastic Constants. Elastic properties for the PHBV
polymer and Alfa fibers obtained from literature are
reported in Table 1. Although the longitudinal elastic
modulus for a continuous fiber can be measured directly
from a tension test, the transverse and shear moduli for a
fiber are typically determined indirectly by composite
tests. Therefore, the elastic constants for the Alfa fibers
were derived from the test results of Ben Brahim and Ben
Cheikh on unsaturated polyester Alfa fiber composites
[13] using CLPT. The range of calculated longitudinal
fiber moduli agreed well with measured properties for
Alfa fiber bundles tested in direct tension reported by
Paiva et al. [14]. Unless otherwise noted, the reported
ranges of physical and mechanical properties are consid-
ered in subsequent composite calculations and are illus-
trated in each figure with error bars.
Elasticity Predictions. The predicted elastic moduli in
the x, y, and xy directions are compared with the experi-
mentally determined values in Fig. 4. The elastic proper-
ties predicted by the ROM models in each loading
direction closely matched the experimental results, indi-
cating good initial fiber–matrix compatibility. As
expected, ROM and CLPT yielded precisely the same
results for loading in the fiber direction. The off-axis
ROM and CLPT predictions differed however as a result
of the discrepancy between the isostrain and isostress
assumptions of the CLPT and off-axis ROM methods,
respectively.
A range of apparent moduli for PHBV–Alfa compo-
sites with fiber volume fractions between 10 and 30%
and fibers oriented between 0 and 90� with respect to the
tensile loading direction are presented in Fig. 5a. The
elastic modulus of the 0� aligned composite, which is the
most sensitive to fiber volume fraction variation, was
accurately captured by the 30% volume fraction curve
(actual VF 5 27%). Composites with loading angles
6 POLYMER COMPOSITES—2014 DOI 10.1002/pc
greater than 45�, which are expected to exhibit isostress
dominated behavior, are overestimated using CLPT but
are closely matched using the ROM method. Here, the
utility of CLPT is demonstrated for predicting the appa-
rent tensile modulus of unidirectional biobased compo-
sites with varying loading orientations, but, in the case of
off-axis specimens, isostrain CLPT predictions tend to
overestimate the experimental responses.
Poisson’s ratios calculated by Eq. 9 for composites
with orientations between 0 and 90� are compared with
experimental results in the x, y, and xy directions in Fig.
5b. Here, Poisson’s ratio was determined directly in the
0� orientation and predicted using the elastic composite
constants in the 45 and 90� orientations. Although the
method is not predictive using independent fiber and
matrix properties, it does provide a reasonable and there-
fore useful approximation of the relationship between
Poisson’s ratio and fiber orientation with only minimal
material characterization.
Ultimate Strength Predictions. Predictions using
ROM, or any elastic technique that is predicated on per-
fect fiber–matrix bond compatibility up to failure, tend to
overestimate composite strength. Ultimate strength predic-
tions using ROM and MROM strength models are com-
pared with experimental results in Fig. 6 in the x and yloading orientations. The unmodified ROM model signifi-
cantly overestimates the tensile strength in both the x
and y loading directions, suggesting fiber–matrix bond
degradation before failure, premature fiber rupture, or a
combination of the two. The MROM models presented in
Fig. 6 differ for the two loading directions. In the aligned
fiber (x) direction, the MROM discounts the contribution
of the matrix at ultimate and bases composite failure on
the strength of the fiber alone. In the transverse (y) direc-
tion, the MROM treats the fibers as voids in the matrix
and failure is controlled by the volume fraction and ulti-
mate strength of the matrix alone. These simplified
MROM models predict the strength of the aligned compo-
sites well but overestimate the strength of the transverse
composites. It has been suggested that transversely
aligned fibers in composites can weaken matrix–fiber
interfaces and act to initiate and propagate matrix fracture
[24, 29]. Such phenomena could lead to an ultimate
FIG. 4. Experimental (EXP) results compared with rule of mixtures
(ROM) and classical laminate plate theory (CLPT) predictions.
FIG. 5. (a) Longitudinal modulus calculated using CLPT for variable
fiber volume fractions (VF) and fiber ply orientations compared with
experimental and ROM results at 0, 45, and 90� and (b) variation of the
theoretical and experimental Poisson’s ratio with respect to fiber ply
orientation.
FIG. 6. Ultimate strength predictions using the rule of mixtures
(ROM), simplified modified rule of mixtures (MROM), simultaneous
fiber failure (SFF) (rx only), and Cooper–Kelly (C–K) (ry only) models
compared with experimental (EXP) results for x and y loading
orientations.
DOI 10.1002/pc POLYMER COMPOSITES—2014 7
transverse composite strength below that of the polymer
matrix alone.
The GLS strength prediction in the aligned fiber direc-
tion is calculated using Weibull parameters (L0 5 1 mm,
r0 5 1078 MPa, m 5 2.74) and average fiber properties
(D 5 80 lm, s 5 14 MPa) established in an investigation
of the same Alfa fibers as those used herein [14]. The
GLS model predictions by Eq. 14a significantly overesti-
mated the strength of the composite (results not shown),
suggesting that fiber load redistribution is limited in the
PHBV–Alfa fiber composites. This discrepancy is also an
indication that the relatively weak matrix is unable to
transfer shear lag stresses as the fibers progressively frac-
ture, leading to failure localization.
The SFF strength prediction in the aligned fiber direc-
tion is calculated using the same parameters as the GLS
model and the additional term, n. The number of SFFs, n,
is calculated per Eq. 15b with a 5 4.2 and b 5 12.6, as
suggested in Ref. [22] for the range of investigated com-
posites, which included several that exhibited similar ulti-
mate strengths to the Alfa–fiber composites. The SFF
result also overestimated the composite strength (Fig. 6),
which suggests that either (1) a group fiber failure initi-
ated by a single weak fiber was not the primary failure
mechanism or (2) the proposed a and b parameters do not
accurately reflect the number of SFFs exhibited by the
composites tested here. The strength prediction from the
SFF analysis did however provide a better approximation
than the GLS model and was within the error bounds of
the experimental results.
Results from the C–K model for the transverse compo-
sites presented in Fig. 6 provide a close match to the exper-
imental data. The accuracy of this model validates the
assumption that the transverse interfacial fiber–matrix bond
between the Alfa fibers and PHBV polymer provides an
ineffective stress transfer mechanism and that the strength
is instead controlled by the minimum matrix cross section.
The results of the fifth strength prediction method are
shown in Fig. 7a. The one parameter model was cali-
brated using the results of the 45 and 90� off-axis tension
tests. Therefore, the resulting a�66 coefficient of 0.475 pro-
vided exact strength predictions for each experimental
value because these values also served as calibration
points. Although the utility of a simple strength model for
composites with any arbitrary fiber orientation is clear,
further testing of off-axis specimens is necessary to accu-
rately validate this method.
Nonlinear Hardening. The one parameter plasticity
model was calibrated using the stress–strain results of off-
axis tests in the 45 and 90� loading directions. Linear
optimization of the effective stress and plastic strain data
for the off-axis specimens yielded an a66 coefficient of
1.05. The resulting stress–strain predictions are presented
in Fig. 7b. As expected, the nonlinearity of the 0� was
not captured because the Sun–Chen model neglects plas-
ticity in the fiber direction. In contrast, the calculated
constitutive response of the 45 and 90� composites is rep-
resentative of the experimental response for both the yield
stress and nonlinear hardening modulus.
The Sun–Chen model was selected for its simplicity,
ease of implementation, and accuracy for oriented com-
posite materials. Although this model is unable to capture
the plasticity observed in the fiber direction of the Alfa–
PHBV composites, it provides good predictions of off-
axis nonlinearity and strength. Further calibration of this
model using off-axis tensile specimens is expected to pro-
vide a more robust estimation of the composite constitu-
tive behavior. This technique is nonetheless useful for
determining the postyield composite response, especially
when coupled with a strength prediction model.
CONCLUSION
The applicability of elastic stiffness and ultimate
strength prediction models has been demonstrated for bio-
based composites made from PHBV polymer and Alfa
fibers. In general, reinforcing PHBV with unidirectional
bundles of Alfa fibers resulted in improved elastic
FIG. 7. (a) Comparison of experimental and theoretical ultimate
strengths using the Sun et al. model calibrated at u 5 45 and 90� with
a�66 5 0.475 and (b) comparison of experimental and theoretical consti-
tutive responses using the Sun–Chen model calibrated with a66 5 1.05.
8 POLYMER COMPOSITES—2014 DOI 10.1002/pc
stiffness and ultimate strength and reduced elongation at
break when compared with neat PHBV.
Isostress and isostrain ROM models provided suitable
estimates of initial composite stiffness in the 0, 45, and
90� fiber orientations. CLPT estimates of composite stiff-
ness as a function of reinforcing fiber orientation pro-
vided a good match to the experimental data for aligned
composites, but overestimated stiffness in the off-axis ori-
entations. This discrepancy demonstrates the limitations
of CLPT for unidirectional composites and highlights the
known importance of isostrain models for off-axis stiff-
ness predictions. The CLPT method did however provide
reasonable estimates of Poisson’s ratio in the 0, 45, and
90� loading orientations.
ROM strength predictions tended to overestimate ulti-
mate strength, suggesting that the perfect fiber–matrix bond
assumptions of the ROM method were violated before fail-
ure. Strength estimates using a proposed modified ROM
model closely matched the experimental results in the
aligned and transverse fiber orientations. A GLS model
developed for unidirectional synthetic composites overesti-
mated the biobased composite strength in the fiber direc-
tion, suggesting that failure of PHBV–Alfa fiber composites
is generally nonprogressive and does not exhibit significant
fiber load redistribution. A modified GLS model that con-
siders a group failure mechanism initiated by a weak fiber
also overestimated the strength in the fiber direction, but
provided a more reasonable match of the experimental
results. Predictions of transverse composite strength with
the C–K model closely matched the experimental results,
further suggesting poor interfacial stress transfer between
the fibers and matrix. The strength prediction findings have
broad implications for biobased composite design because
they suggest that accurate estimates of composite strength
can be obtained with limited knowledge about the compo-
site’s constituent materials, namely the fiber volume frac-
tion and the ultimate strength of the fiber and matrix.
A calibrated nonlinear hardening continuum model was
demonstrated to accurately capture the postyield response
of off-axis composites. An extension of this model was also
demonstrated to calculate the ultimate strength of off-axis
composites, but was limited by the availability of off-axis
test data to fully validate the model. These techniques are
useful for demonstrating the complete characterization and
modeling of a biobased composite in the elastic, nonlinear,
and ultimate strength regimes.
ACKNOWLEDGEMENTS
The opinions expressed in this article are those of the
authors and do not necessarily reflect the views of the
sponsors.
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DOI 10.1002/pc POLYMER COMPOSITES—2014 9