Journal of Energy and Natural Resources
2014; 3(3): 25-30
Published online June 20, 2014 (http://www.sciencepublishinggroup.com/j/jenr)
doi: 10.11648/j.jenr.20140303.11
Fibre, physical and mechanical properties of Ghanaian
hardwoods
Emmanuel Tete Okoh
Department of Furniture Design and Production, Accra Polytechnic, P O Box GP 561, Accra, Ghana
Email address:
etokoh@apoly.edu.gh
To cite this article:
Emmanuel Tete Okoh. Fibre, Physical and Mechanical Properties of Ghanaian Hardwoods. Journal of Energy and Natural Resources.
Vol. 3, No. 3, 2014, pp. 25-30. doi: 10.11648/j.jenr.20140303.11
Abstract: Wood fibre properties (fiber length, fiber width, cell wall thickness and lumen diameter), physical (oven-dry
density) and mechanical properties (modulus of rupture, modulus of elasticity, compression parallel to the grain) of four
tropical hardwood species (Terminalia superba (Ofram) and Terminalia ivorensis (Emere), as currently threatened timber
species and Quassia undulata ( Hotrohotro) and Recinodendron heudelotii(Wama) as lesser used timber species were
investigated to measure and compare their timber properties as potential substitutes. Tree normal trees of each tree species
were selected and log samples were cut at the middle portion of stem height to determine the properties. The study revealed
that, the densities, compression parallel to grain, modulus of rapture and modulus of elasticity of Ofram and Hortrohotro were
not significant, but that of Emere and Wama were significant. The modulus of elasticity of Emere was however not significant.
Based on these findings Hortrohotro could be substituted for Ofram and Emere with Wama.
Keywords: Fiber, Hardwood, Mechanical Properties, Lumen
1. Introduction
The cells that make up the anatomical structure of tropical
hardwoods are the vessels, fibres, parenchyma and the wood
rays. Fibres are the most important element that is
responsible for the strength of the wood [1]. According to
[2], wood density is an important wood property for both
solid wood and fibre products. [3], also reported that factors
that determine wood density are cell wall thickness, the cell
diameter, the ratio of early wood to latewood and the
chemical content of the wood. [4], indicated that density is a
general indicator of cell size and is a good predictor of
strength, stiffness, ease of drying, machining, hardness and
various paper making properties. Many of the density
variations within a tree can be ascribed to the anatomical
structure of wood, such as characteristics of vessels and
fibres [5]. Wood density also serves as an indicator of wood
quality due to its strong positive correlation with, for
example, mechanical strength properties [6]. According to
[7], density is one of the most important properties that
influences the use of a timber. Also [8], stressed the fact that
wood density affects the technical performance of wood and
in particular the strength and processing behavior of sawn
wood and veneer, and the yields of wood fibre in pulp
production. [9] reported that wood density is a measure of
the cell wall material per unit volume and as such gives a
very good indication of the strength properties and expected
pulp yields of timber [10]. According to [11], basic density is
closely related to end-use quality parameters such as pulp
yield and structural timber strength. [12] stated that the
density of wood is recognized as the key factor influencing
wood strength. [13] agreed that much of the variation in
wood strength, both between and within species, can be
attributed to differences in wood density.
Wood density is, therefore, the single most important
single factor determining pulp yield and quality and is also
reasonably closely related to various wood properties, for
example timber strength, and properties of sawing,
machining, glueing, shrinkage, seasoning, peeling and,
preservation [14]. Density has been shown to be positively
correlated with the strength and stiffness of small clear
samples of wood [15], and consequently high density timber
is generally associated with superior mechanical
performance. In structural size samples, however, the
presence of other strength reducing factors mean that density
alone is not always a good predictor of mechanical
properties. Although for sawn timber, variations in tracheid
length per se are not generally considered to have a
significant impact, short tracheids are associated with high
microfibril angles which do reduce timber strength, stiffness
26
Emmanuel Tete Okoh:
Fibre, Physical and Mechanical Properties of Ghanaian Hardwoods
and dimensional stability. Wood density is a measure of the
amount of cell wall material present but gives no indication
of the anatomy of the cell wall nor of its properties. For
example, compression wood is denser than normal wood but
is weaker. [16] concluded that while density was of
significance in affecting wood strength in Sitka spruce, it
was not as important as other factors, such as grain angle and
the presence of juvenile wood , which lower performance.
This has been supported by [17] who found that variations in
wood density only explained part of the variations in
mechanical properties observed in trees of differing growth
rates, and that this was particularly evident for Abies and
Picea species. A relatively small change in wood density can
be accompanied by a considerably larger change in
mechanical properties, with the result that estimates of
structural performance based solely on evaluation of wood
density may not be reliable [18]. [19] reported that density
was highly significant, although not the most important,
influence on Sitka spruce batten stiffness. Hence, density
clearly has an important influence on timber strength and
stiffness, but the impact on utilization depends on the
integration of other factors such as knots, grain angle and
juvenile wood.
The Ghanaian forest is a continuum of the tropical forest
with fast growing timber species which are used in a wide
variety of applications. The current well known primary
timber species in Ghana have been exploited selectively by
millers, but mostly without permission by illegal chain saw
operators, resulting in their reduction both in number and
quantum of each of them and the urgent need for finding
alternatives for use by both local and the export industry as
well as their contribution to the local economy.
Furthermore, there is also ample evidence that timber
production in Ghana is not proportional to its potential.
Because, its under-utilization is partly as a result of the lack
of general information about the wood properties and the
great number of timber species. Consequently, Terminalia
superba (Ofram) and Terminalia ivorensis (Emere), as
currently threatened timber species and Quassis undulata
(Hotrohotro) and Recinodendron heudelotii (Wama) as
lesser used timber species were selected for the study to
investigate and compare the physical, anatomical and
mechanical properties as these properties form the basis for
specifying timber for any structural application.
The objective of this work is to measure and compare the
variation of physical, anatomical and mechanical properties
of Emere and Ofram which are currently threatened timber
species to that of Wama and Hortrohotro which are lesser
used species as potential substitutes for utilization.
2. Materials and Methods
The study area is Kajease Forest reserve at Afosu
(06o22´N, 00o57´W) and an elevation of 217m in the Eastern
Region. The vegetation is characterized by the moist
semi-deciduous forest. The total land area is 1557km2 and an
altitude ranging from 152-610m above sea level. It is
characterized by a wet semi-equatorial climate with annual
rainfall ranging from 1,500-1800mm.The forest floor is
closed with tree species of the Celtic-Triplochiton
association, dominated by Celtic mildbraebii (esa),
Triplochiton scleroxylon (wawa), Ceiba pentandra (silk
cotton), Ricinodendron heudelotii(Wama), Hannoa
klaineana (Hotrohotro)), Melicia exelsa (Odum), Khaya
ivorensis (African Mahogany), Terminalia ivorensis (emere),
Terminalia superba (Ofram) and
Entandrophragma
cylindricum (Sapele). The timbers extracted for the
research were taken from the yield allocated to the
contractor by the Forest Services Division (FSD) of the
Forestry Commission. Each timber felled had a
merchantable diameter of least 60cm. Inventory records
from FSD was used to determine the age of the trees. From
each of the species, three normal tress were selected. Logs
were cut at the middle portion of stem of tree height. All
testing samples were taken from mature wood for the
determination of the different wood properties.
Sample Preparation: Defect free boards of, Ricinodendron
heudelotii (Wama), Hannoa klaineana (Hotrohotro)),
Terminalia ivorensis., (Emeri) and Terminalia superba
(Ofram) were cut from the middle portion of trees into
15mm thick boards with multiple rip saws. All boards were
prepared with the same equipment. Maceration: Fibres were
separated by maceration of match stick sized wood pieces
originating from 5 arbitrary chosen samples per species in
Jeffrey’s solution at 40ºC for 4h. The resulting cell
suspension was washed thoroughly with distilled water.
Fibres were spread from this suspension onto a glass slide
and left to dry for 12h.
A Leica EZ 4D light microscope was used to determine
the diameter and ratio of vessels, as well as the fibre length
and amount of parenchyma cells. Fifteen images were
acquired per section for cell analysis. To determine the
number of vessels per mm2 and the vessel diameter, images
were acquired with a magnification of 20x and all visible
vessels counted and their diameter recorded. Fifteen images
of the cell suspension were acquired for each species at a
magnification of 35x, and the length of fibres, and
parenchyma cells, as well as their amount per mm2 were
determined.
A Leica EZ 4D light microscope was used to determine the
fibre diameter and cell wall thickness. The fiber diameter and
cell wall thickness were determined from fifteen images
acquired with a magnification of 4x. Fiber diameter and cell
wall thickness were measured on all visible cells in the image.
Density: Twenty samples were dried for 24 h at 105oC
before being tested for density. The density of wood was
determined on a dry-mass basis. A digital caliper was used to
measure the dimensions of the samples of oven-dried wood
at a moisture content of 12% in order to determine their
volumes. The samples were then weighed using an
electronic balance. The calculated volume was divided by
the mass to obtain the density (ρ), using the formula below:
ρ=m/v
(1)
Journal of Energy and Natural Resources 2014; 3(3): 25-30
where ρ is density (g·cm3),m is mass (g), and v is volume
(cm3).
Mechanical properties: The Flexure Testing Machine was
used to determine the Modulus of rupture and the Modulus
of elasticity. The sample dimensions for determination of
mechanical properties were 450 × 50 × 15 mm for static
bending strength tests, such as modulus of rupture (MOR)
and modulus of elasticity (MOE) and the compression
parallel to grain[CPG(бcpl)].
The prepared samples (N= 5 for each species) were then
conditioned in a room at a temperature of 20°C and 65 ±5%
relative humidity until the specimens reached an equilibrium
moisture content of 12%. The load was applied in the
tangential direction. The mechanical strength properties
were calculated using the following equation;
MOR= 3PL/2db²
(2)
MOE= P'L³/4∆'bd³
(3)
where P’ = load at the limit of proportionality (kN); P =
maximum load (KN), L = span of the test specimen (mm),
b= breadth of the test specimen (mm), d = depth of the test
specimen (mm) and ∆’ = deflection at the limit of
proportionality (mm).
σcpl = Pmax /A
(4)
27
Where σcpl = MCS (MPa),
Pmax = maximum crushing load at break point (KN) and
A = area of cross section of the specimen on which force
was applied (mm2).
Statistical analysis to determine the effect of hardwood
species on anatomical (fiber length, fiber width, cell wall
thickness and lumen diameter), physical (oven-dry density)
and mechanical properties (modulus of rupture and modulus
of elasticity), was conducted using the analysis of variance
(ANOVA) techniques. Duncan's multiple range test (DMRT)
was used to test the statistical significance at the α = 0.05
level. The Pearson correlation was used to analyze the
relationship among the wood’s various properties.
3. Results and Discussions
Fibre cell dimensions: The analysis of variance (ANOVA)
shows that there is significant difference between the wood
species and their fibre cell dimensions. Wama has by far the
highest values for fibre length, cell wall thickness and rankle
ratio or wood fraction, but the lowest fibre diameter.
Although Hotrohotro has the highest fibre diameter it
recorded the lowest cell wall thickness and rankle ratio or
wood fraction. Emere and Ofram however recorded
intermediate fibre cell values. All these anatomical
properties are displayed in Table 1.
Table 1. Fibre cell mean values (m ± SE) of the wood species(n=5)
Species
Hotrohotro
Ofram
Emere
Wama
Fibre diameter/µm
29.984±5.119
B
28.481±6.937
B
29.241± 5.931
B
20.256±2.804
A
Fibre length/mm
1.588±0.221
A
1.314± 0.239
A
1.314±0.244
A
1.727±0.528
A
Cell wall thickness/µm
6.695±1.099
A
7.258±1.389
AB
8.359±2.625
AB
8.744±946
B
Rankle ratio
0.207± 0.035
A
0.283±0.142
A
0.303±0.146
A
0.432±0.111
B
Note: columns with same letters are not significantly different at p=0.05
columns with different letters are significantly different at p=0.05
Fig. 1. Oven dry density values of the four hardwood species( g/cm3)
Oven dry density: The oven dry density values for the four
the tropical hardwood species are displayed in fig.1 below. It
is evident from fig.1 that Wama had the highest density of
0.524g/cm3, whilst Ofram had the lowest of 0.331g/cm3. The
analysis of variance (ANOVA) shows that there is
significant difference between the types of species and oven
dry density value. [20] puts the wood density value of Ofram
between 0.37 – 0.73g/cm3 which is a little higher than the
one determined by this work.
Also [21] Dudek,, Förster, and Klissenbauer (1981) quote
the wood density value of Hotrohotro between
0.29-0.45g/cm3, and this is consistent with the wood density
value of 0.41g/cm3 determined by this study. Wama had a
wood density value of 0.524g/cm3 which is little higher than
the one determined by [22]( Richter and Dallwitz, 2000).
The differences in wood density values for Wama and Ofram
may be due to differences in soil and climatic conditions.
Mechanical Properties: The mechanical properties
28
Emmanuel Tete Okoh:
Fibre, Physical and Mechanical Properties of Ghanaian Hardwoods
[Compression parallel to grain (CPG), Modulus of Elasticity
(MOE) and Modulus of Rapture (MOR)] of the wood
species are measured to serve as the basis for timber
specification and utilization. The results are shown in the
figures below.
Fig. 2 shows the compression parallel to grain of the four
hardwood species (e.g Ofram, Emere, Wama and Hotrohotro)
used for the study. Emere had the highest of compression
strength of 25.37 MPa with Ofram. The analysis of variance
(ANOVA) shows that there is no significant difference
between the type of species and the compression parallel to
grain.
Modulus of Elasticity: The modulus of elasticity (MOE)
values for the four hardwood species such as Ofram, Emere,
Wama and Hotrohotro are depicted in fig. 3 above. The
MOE values for the species are 2.361, 5.099, 3.579 and
2.206 MPa respectively. The analysis of variance (ANOVA)
shows that there is significant difference between the types
of species and the modulus of elasticity values. The highest
value of 5.099 was recorded in Emere with Hotrohotro
having the least value of 2.206 MPa
Fig. 4. Modulus of Rapture values of the four hardwood species( MPa)
Fig. 2. shows the compression parallel to grain of the four hardwood
species .
Fig. 3. Modulus of elasticity(MOE) of the four hardwood species
Modulus of rapture: The modulus of rapture (MOR)
values for the four hardwood species are shown in fig. 4.
Emere recorded the highest rapture value of 0.060 MPa,
whilst Hotrohotro had the least rapture value of 0.029 MPa.
Ofram and Wama however recorded intermediate values.
The analysis of variance (ANOVA) shows that there is
significant difference between the type of species and the
modulus of rapture. The relationship between oven dry
density and mechanical properties are shown in Table 1.
Results show that there are positive correlation between
wood density and CPG (R2=0.644), (ANOVA) shows that
there is significant difference between the type of species
and the modulus of rapture.
The relationship between oven dry density and
mechanical properties are shown in Table 3. Results show
that there are positive correlation between wood density and
CPG (R2=0.644),
MOR (R2= 0.680) and Modulus of Elasticity (R2= 0.646)
at four different species level.
Table 2. The relationship between different wood properties (p= 0.01)
Do
CPG
MOR
MOE
FD
FL
CWT
Do
1
0.644**
0.680**
0.646**
-0.281
0.251
0.375
CPG
MOR
MOE
FD
FL
CWT
1
0.878**
0.910**
-0.022
-0.092
0.084
1
0.764**
-0.110
-0.133
0.168
1
0.101
0.017
0.049
1
-0.074
-0.260
1
-0.089
1
Do: Oven dry density, CPG: Compression parallel to Grain, MOR: Modulus of Rapture, MOE: Modulus of Elasticity, FD: Fibre Diameter, FL: Fibre Length,
FCWT: Fibre Cell Wall thickness
Journal of Energy and Natural Resources 2014; 3(3): 25-30
The relationship between wood density and mechanical
strength properties within a species have been investigated
tremendously by researchers. The relationship between
wood density and mechanical properties within a species has
been studied by many researchers. [23] observed that a
significant linear relationship exists between wood density
and mechanical properties of timber. According to [24] the
modulus of rupture and the maximum crushing strength in
compression parallel to the grain are most closely and
almost linearly related to wood density, whereas modulus of
elasticity is poorly and least linearly related to wood density
[25]. The density of timber is a function of both cell wall
thickness and lumen diameter and there exists correlation
between strength and density of timber. The results of this
study show a significant linear relationship between wood
density and mechanical strength properties of timber.
Although there are positive relationship between wood
density and mechanical strength properties, their biometric
features (fibre diameter and fibre length) are weak and
negatively correlated. Interestingly, the relationship between
wood density and mechanical properties with fibre cell wall
thickness is positive though weak at four species level.
There are also positive relationship between MOR and CPG
(R2=0.878), MOE and CPG (R2= 0.910) and MOE and
MOR (R2=0.764).
4. Conclusion
The study revealed that, the densities, compression
parallel to grain, modulus of rapture and modulus of
elasticity of Ofram and Hortrohotro were not significant, but
that of Emere and Wama were significant. The modulus of
elasticity of Emere was however not significant. There were
however positive relationships between wood density and
MOE, CPG and MOR, but not fibre cell dimensions. Based
on these findings Hortrohotro could be substituted for
Ofram and Emere with Wama.
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