1. Introduction

OJCM

Open Journal of Composite Materials

2164-5612

Scientific Research Publishing

10.4236/ojcm.2017.75018

OJCM-79884

Articles

Chemistry&Materials Science

Wood Particle-Recycled Glass Fiber Hybrid Composites

Kayode

E. Oluwabunmi

¹Lee

M. Smith

¹Sheldon

Q. Shi

¹^*

Department of Mechanical and Energy Engineering, University of North Texas, Denton, TX, USA

* E-mail:Sheldon.shi@unt.edu(SQS);

14092017

07052652767, July 201724, October 2017 27, October 2017

2014

This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/

This study was done with the aim of assessing the feasibility of mechanically recycled glass fiber particleboards made from (loblolly pine and longleaf pine) wood particles with epoxy as binder. The modulus of rupture (MOR) and modulus of elasticity (MOE) were evaluated as indicators of mechanical performance. The water absorption rate and thickness swelling rate were also analyzed to investigate the physical performance of the board. An increase of over 80% in MOE values was obtained for the boards with 10 wt% glass fiber inclusion. For the MOR values, there was an increase of over 84.4% in both densities and glass fiber inclusions of all the board densities. However, there was a decrease in MOE when 30 wt% glass fibers w ere incorporated into boards with density of 500 k g/m³ and 700 k g/m³. A r-squared value of 0.869 supported the obtained result that the correlation between water absorption rate and thickness swelling rate was a function of the density of the composites.

Particleboard Recycled Glass Fibers Water Absorption Thickness Swelling

1. Introduction

Glass fiber is a special class of materials that is manufactured by the high-temperature conversion of various raw materials (predominantly borosilicates) into a homogeneous melt, followed by the fabrication of this melt into thin fibers. These materials find dynamic applications in human’s everyday life, include thermal insulation, automobile parts, pipes and fittings, textiles, construction and more recently for boat making amongst others. The global consumption of textile glass fiber was about 4 million metric tons (Mt) in 2011 [1] , and it is projected to reach 4.5 Mt in 2018 [2] . However, because recycling through a thermal process could cause about 50% loss in mechanical properties [3] . The glass fibers would be best recycled through a mechanical process that involves grinding and crushing and then employed for use in manufacturing non-structural products [3] . Products made from glass fibers, especially boats, automobile parts, have increasingly become an environmental menace when they reach the end of their lives. There is a need to find an alternative way to recycle glass fibers. Panel products such as particleboards made from lignocellulosic fibers are available at low cost, easy to recycle and biodegradable. However, they mostly find applications where cost other than aesthetics and strength are major determining factors [4] [5] [6] . After World War II, the manufacture of particleboards began on a large scale in the United States, serving as a low-cost replacement for plywood and lumber in the cabinetry and furniture industry. Seventy years down the line, the demand for particle-boards has grown extensively, replacing plywood and solid wood products. However, particleboard expands and shrinks when the ambient humidity fluctuates, this affects their performance in service negatively [7] [12] [13] . Much research work has been carried out to improve the mechanical and physical properties of wood particleboard using different materials and treatments [7] [9] [10] . Particleboards made from a mixture of wood particles and glass fibers as the core, and two layers of woven jute fabric as skin layers were fabricated using the vacuum-assisted resin transfer molding technique [7] . With this procedure, higher values compared to commercially available hybrid composites were obtained [7] [11] . Particleboards have been developed from wood (Eucalyptus grandis), bamboo (Bambusa vulgaris), and/or rice husk (Oryza sativa) particles [8] . Sorghum bagasse and Compedek wood shaving in 50 wt% ratio and 10% urea formaldehyde (UF) resin as binder was used in manufacturing particleboard. Additionally, composite boards have been produced from shavings of southern yellow pine, kenaf and flax all blended together [9] . The highest values recorded for the MOR and MOE were 27.6 MPa and 4.5 GPa, respectively. Various studies have been carried out to improve the physical and mechanical properties of particleboard using different types of binders.

The objective of this study was to investigate the mechanical and physical properties of particleboards made from a mixture of loblolly pine and longleaf pine wood flour and mechanically recycled short glass fibers using epoxy as binder. The MOE and MOR as well as the swell rate and absorption rate of the samples were calculated and compared using the Shi and Gardner swelling rate and water absorption models.

2. Experimental Procedure

The experiment was carried out to investigate the effect of incorporating recycled glass fibers on the MOE, MOR, water absorption and thickness swelling of the particleboards.

2.1. Materials

Wood particles (majorly from loblolly pine and longleaf pine) were supplied by Nature’s Broom, Hollandale Mississippi. The wood particles were sieved using a set of sieves to have an idea of the distribution of the particles. Recycled glass fibers were supplied by Eco-Wolf Inc. Edgewater, Florida. The glass fibers were processed to 3/4" of short fibers using a grinder (model GM-1211-30 ECO-Grinder^TM), a 25-mm filter screen in the machine when the material was processed. The source material came from a local boat manufacturer and is post production waste. Epoxy resin used was the West system 105 epoxy resin part 1 the hardener (West system 206) part 2, both were supplied by West Marine [10] .

2.2. Experimental Design

The effect of the incorporation of recycled glass fiber on the mechanical properties of particleboard made from wood particles, epoxy resin for making particle-board was the aim of the experiment. Two-factorial experimental design was used. Two factors considered were percentages of glass fibers and board density. Nine sets of samples (reinforcement + matrix) were manufactured with 3 replicates. The percentage by weight of glass fiber in each of the sample sets was varied. The resin to hardener ratio was maintained at 2:1 (wt%/v). The design matrix for the experiment is shown below [10] .

2.3. Fabrication of Wood-Glass Fiber Hybrid Composites

The mechanical and physical properties of the of the wood particle-glass fiber hybrid composites was compared with that of commercial particleboard samples. The commercially available particleboard consists of three layers. The top and bottom layers were made of fine wood particles with density of about (0.940 g/cm³) each, while the middle layer was made of coarser particles with lower density measuring about (0.5 g/cm³). The layers were mixed with a binder then hot-pressed [10] .

Nine batches of samples shown in Table 1 were prepared. The amount of glass fibers needed per sample was calculated based on the dry weight of the particle and mixed with the assorted wood particles. The weight of the wood particles used was a function of the desired density of the composites (0.3 g/cm³, 0.5 g/cm³ and 0.7 g/cm³). To achieve this, particle-board samples with a density of 0.3 g/cm³ with 10% glass fiber content were fabricated. 151 g of wood particles with the calculated proportion of recycled glass fibers were mixed with 43.2 g of

Table 1 Experimental design

Sample ID	% Glass fibers	Density @ 300 kg/m³	Density @ 500 kg/m³	Density @ 700 kg/m³
1	0	A3000	B5000	C7000
2	10	A30010	B50010	C70010
3	30	A30030	B50030	C70030

west marine brand of epoxy as binder and 21.6 g of slow cure hardener. A proportionate measure was made to achieve a density of 0.3 g/cm³ at 0%, 10% and 30%. Similar process was also repeated for the density values of 0.5 g/cm³ and 0.7 g/cm³ at 0%, 10% and 30%. Manual mixing was done in circular barrel with a diameter of 50 cm to obtain a nearly homogenous mix. After achieving thorough mixing, the mix was transferred to two metal flat plates with dimensions of (300 × 240) mm to obtain the preform. The metal plates were covered with Teflon sheets between the interfaces of the preform (mat) and the metal plates. The metal plates served as mold, to obtain the desired preform architecture. The preform was placed in the pre-heated compression mold for the preform to gel. After about 15 minutes the preform was pressed to a pressure of about 1000 psi. Hot pressing of the preform architecture was subsequently done to about 5 mm and 7 mm thickness for the 0.5 g/cm³ and 0.7 g/cm³ board densities at a temperature of 130˚C using a Carver laboratory type hot press, model number 3698. When fully formed, the preform was conditioned to room temperature of 20˚C and about 65% relative humidity for 24 hours and allowed to cure fully [16] .

3. Testing Procedures3.1. Physical Test3.1.1. Particle Size Distribution of Wood Flour

Particle size analysis was carried out on wood particles. This was done to have an understanding of the distribution of the particles and the fraction with the greatest yield. The coarsest sieve was placed on top and the finest at the bottom. A receptacle was placed at the bottom of the finest sieve to receive the final undersize. About 200 g of wood flour was placed in the uppermost coarsest sieve and the 6 sieves comprising a stack was placed in an electronic automatic shaker. The total duration of the shaking process was 10 minutes. The table in the result section below shows the sieve sizes used and the corresponding weight for the undersize and oversize obtained [10] .

3.1.2. Water Resistance and Thickness Swelling Testing

Two water resistance test specimens were cut from each panel. Water submersion tests (2 hours and 24 hours) were carried out in accordance with the procedure described in ASTM D1037 standard. Twenty-seven samples with varying densities were made using the compression molding process. One inch by one inch squares were cut from each sample using a ban saw. The density of the samples was calculated. Each sample group was weighed and the thickness measured to obtain initial mass Mo (g) and initial thickness To (mm). The samples were subsequently immersed in water. The weight (g) and thickness (mm) were measured after water immersion. for 2 hours, 4 hours, 6 hours and 12 hours for the first day and once a day subsequently. Sample thickness was measured with a pair of calipers with an accuracy of 0.005 mm. The samples were dabbed with paper towel to remove surface water before the thickness and weight was measured. A Metler Toledo weighing balance with 0.005 g accuracy was used for the weight measurement [8] . The data set from the measured samples were analyzed using Microsoft excel to determine the Water absorption WA(t) and thickness swell TS(t) using the formula below:

W A ( t ) = M t − M o M o × 100 (1)

T S ( t ) = T t − T o T o × 100 (2)

M_t: sample weight measured at time (t); and M_o: initial weight of sample; and Tt: sample thickness measured at time (t); T_o: initial thickness of the sample.

Shi and Gardner model, was used to predict the water absorption rate of the nine sample groups as a function of time. The average value of the water absorption and thickness swell of the three samples in each of the group yielded the needed results [14] [15] .

W A ( t ) = ( W ∞ W o + ( W ∞ − W o ) e − K s r t − 1 ) × 100 (3)

where W_∞: equilibrium weight; K_ar: water absorption rate constant.

Similarly, the thickness swelling rate was calculated based on the formula

T S ( t ) = ( T ∞ T o + ( T ∞ − T o ) e − K a r t − 1 ) × 100 (4)

K a r and K s r was used to predict the water absorption (WA)t and thickness swelling (TS)t for each time count of each sample. The accuracy of the observed data was determined using the sum of squares difference (SSD) method.

S S D = ∑ i n y i − y ^ i (5)

Model prediction unique to each sample set was developed from a regression line that was plotted from the observed data which represented the data points of each sample set. In order to create a more accurate prediction, Curve fitting technique was employed by reducing SSD to its lowest valve using the solver tool on excel. This was achieved by using K a r , K s r and T ∞ as variables. This provided a more precise K a r , K s r and T ∞ that provided a more accurate prediction of the data. Measurement of correlation function (RSQ) was also employed to check the possibility of an existing correlation between density and any of the constants K a r and K s r .

3.2. Mechanical Properties TestingThree Point Bending Test

The three-point bending tests were performed on a Shimadzu, Universal testing machine max weight 5 KN, AGSX series in which the upper platen was fixed and the lower platen was mobile. The composite samples having dimensions of 160 × 25 × 3 mm, 160 × 25 × 5 mm and 160 × 25 × 7 mm, respectively, were used for testing. The three-point bending tests were carried out at a 5 mm/min displacement rate. The axial force and the displacement data were recorded. For each of the samples at their varying densities and glass fiber percentages three samples were tested and the average values were recorded.

4. Results4.1. Particle Size Analysis

From the results shown in Table 2 and obtained from the particle size analysis of the wood flour, it can be seen that the median distribution of the wood flour has a particle size of 150 microns and this accounted for over 54% of the entire mass of wood flour that was used.

4.2. Effect of Board Density on Water Absorption Rate and Thickness Swell Rate

The correlation plot for board density against K_ar in Figure 1 shows that as the density of the material irrespective of the percentage of glass fiber inclusion increases there is corresponding decrease in the water absorption rate constant (K_ar) with a R-squared value of 0.602. However, the correlation plot of board density against K_sr in Figure 2 shows a corresponding increase in thickness swelling constant irrespective of the percentage of glass fiber inclusions with a R-squared value of 0.826. The effect of density on the slope of the water absorption rate (S_ar = −2E−05) is smaller compared to the effect on the swell rate (S_sr = 5E−07).

4.3. Correlation between Absorption Rate and Swell Rate

The plot of K_ar against K_sr in Figure 3 show that K_sr increases linearly with an increase in K_ar. A positive slope and R-squared value of approximately 0.87, indicates that there is direct correlation between both constants. It also further reflects the influence of board density on both constants.

Figure 4 and Figure 5 below respectively shows that the water absorption and thickness swelling models fit the data well. Data of material properties for water absorption and thickness swelling show that there is a strong correlation between data and model fits for WA R² > 0.90 and for TS R² > 0.

Table 2 Particle size distribution of wood flour

Sieve size	Weight (g)	Weight (%)	Nominal aperture size	Cumulative weight (%) undersize	Cumulative weight (%) oversize
+2.36 mm	1.92	0.96	2.36 mm	99.04	0.96
−2.36 + 1.18 mm	67.83	33.915	1.1 8 mm	65.125	34.875
−1.18 mm + 600 µm	109.6	54.8	600 µm	10.325	89.675
−600 µm + 300 µm	12.6	6.3	300 µm	4.025	95.975
−300 µm + 150 µm	6.5	3.25	150 µm	0.775	99.225
−150 µm + 75 µm	0.7	0.35	75 µm	0.425	99.575
	0.425

4.4. Water Absorption Rate and Thickness Swelling Rate

Results obtained from the investigation of the water absorption rate and the thickness swelling rate indicates that when the board samples were submerged in water containers over a period of 366 hours. As expected the 0.5 g/cm³ and 0.7 g/cm³ density boards with 0% recycled glass fiber inclusions had the highest rate of water absorption after 366 hours. This must have been due to the high rate of wood fiber imbibition compared to the other boards with inclusions. However, this was not the case for the 0.3 g/cm³ boards, the board with 10% recycled glass fiber inclusions had the highest water absorption rate of 9.02% after 366 hours as shown in Figure 6.

The board types with 30% glass fiber inclusions for all densities gave high values. This is expected as shown in the plot for correlation of board density versus swell thickness that as the board density increases so also does the thickness with a positive slope of (S_sr = 5E−07). The 0.5 g/cm³ board with 30% glass fiber inclusion had the highest thickness value of 1.4% as shown in Figure 7.

4.5. Mechanical PropertiesFlexural Properties

The MOE and MOR values of the prepared particle-board with 0% glass fiber for

the 0.3 g/cm³, 0.5 g/cm³ and 0.7 g/cm³ did not show appreciable increase when compared to the commercial particle-boards. The average MOE values of the hot-pressed particleboard are 0.328, 0.358, 3.42 GPa and MOR values were 4.76, 3.1, 2.2 MPa respectively for each of the three stated densities, while the MOE and MOR of the commercial particleboard are 2.54 GPa and 14.69 MPa respectively. This represents a 35% - 87% decrease and 67.6% - 85% decrease in the MOE and MOR, respectively, this can be attributed to the presence of the epoxy system resin used as binder in making the particle board even though more environmentally friendly compared to other binders like urea formaldehyde. The

heavily cross-linked structure leading to brittle behavior and poor resistance to crack initiation and growth thus causes low toughness and impact resistance which decreases mechanical performance [15] . The effect of adding different ratios of short glass fibers to the wood particles was investigated. The average MOE and MOR values of the particleboard with 10% recycled glass fibers for each of the three densities was 0.85, 0.89 and 2.54 GPa respectively, while the MOE values for the 30% glass fiber inclusions for each of the three densities was 0.61, 2.29 and 1.18 GPa. For the 10 wt% there was an increase of over 80% in MOE values for 0.5 g/cm³ and 0.7 g/cm³ densities respectively. However, there was a decrease in MOE value for the 30 wt% glass fibers for the particle board of both densities. This suggests that an increase in density does not necessarily translate into an increase in MOE values. For the MOR values, there was an increase of over 84.4% in value for both densities and glass fiber inclusions. Plot showing the interactions between MOE and MOR is as shown in Figure 8.

5. Conclusions

1) The water absorption (WA) and thickness swelling (TS) models fit the data well with WA R² > 0.90 and for TS R² > 0. This shows that both models are good predictors of hygroscopic swelling process of wood flour reinforced with recycled glass fibers.

2) There is a direct correlation between the absorption rate K_ar constant and the swell rate constant K_sr. As the absorption rate increases, so does the swelling rate increase correspondingly. This is also a function of the density of the board. Correspondingly, hybrid composite boards with higher densities record higher values than lower density hybrid composite boards.

3) A poor relationship was found between an increase in percentage of glass fibers for various board densities and the corresponding MOE and MOR values. This implies that there is no corresponding arithmetic progression for MOE and MOR values as the percentage of glass fibers inclusion increases. However, the overall trend shows that the inclusion of glass fibers in boards produces an improvement in MOE and MOR values when compared with particle-boards with no glass fiber inclusions.

Cite this paper

Oluwabunmi, K.E., Smith, L.M. and Shi, S.Q. (2017) Wood Particle-Recycled Glass Fiber Hybrid Composites. Open Journal of Composite Materials, 7, 265-276. https://doi.org/10.4236/ojcm.2017.75018

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