6
ethanoic acid and a mercury (I) salt. The degree of polymerization of polyvinyl acetate
typically gives 100 to 5000 g/mole molecular weight (MW) (see Figure 1.2). The ester
groups of the polyvinyl acetate are sensitive to alkali and will slowly convert PVA into
polyvinyl alcohol and acetic acid.
Under alkaline conditions, boron compounds, such as
boric acid or borax causes the polymer to cross-link forming tackifying precipitates or
slime. As an emulsion in water, PVA emulsions are good adhesives for porous materials,
particulary for wood, paper, and cloth, and as a consolidant for porous building stone, in
particular sandstone (Young et al 1999). PVA has poor gap-filling abilities, water
resistance and heat resistance. To
improve the water resistance, heat resistance and
mechanical properties once cured, various crosslinkable monomers such as N-
(hydroxymethyl)acrylamide can be added to modify PVA glues (Cho et al 1999, Lui et al
2005). Once the PVA glue is applied to wood, it sets quickly (typically within 15 min) at
ambient temperature and the peak strength for the adhesive bonds is quickly achieved.
Figure 1.2. Chemical structure of PVA resin.
1.4 Flow Chart of Tasks in this Research
Figure 1.3 shows a flow chart of the tasks in this research. In the interfacial
experiment tasks, a double lap shear (DLS) test was used
to measure the compliance
response of adhesives. Wood strands with straight grain were used to prepare the DLS
specimens. Prior to gluing the strand with PF or PVA resin, the stiffness of each
individual strand was measured. Different amounts of adhesive coverage were then
applied to DLS specimens. Finally, the interfacial stiffness parameters were extracted by
using a shear lag model to interpret the measured compliance results from the DLS tests.
In the modeling tasks, the interfacial stiffness parameters were
input into a
numerical model to study their effect on mechanical properties. The modeling of wood
7
strands composites (OSB) involved mat formation by compaction. The mat formation
process was started with a random structure based on strand length, width, and gap
between strands along with their standard deviations. The individual
strand mechanical
properties were also measured and input into the numerical model. The numerical method
used in this study was the material point method (MPM). An elastic-plastic with
hardening law model was used to incorporate the effect of yielding during compaction.
MPM calculations for bending and tension were compared to a simple laminate plate
theory. The sensitivity of results to various physical and geometric parameters was
studied. The results for vertical density profile of composite panels from MPM were
compared to the experimental data by an X-ray profilometer. Most results were 2D
simulations but some 3D simulations were needed for density profile studies.
Yes
No
Sensitivity
Analysis
Adjust
Properties
(Yielding, n &
K)
Material
Properties
Input
Comparing to
Laminate
Plate Theory
Useful Predictions
DLS Specimens
MPM Calculations
Interfacial
Interfacial
Interfacial
Interfacial
Properties
Properties
Properties
Properties
Input
Input
Input
Input
Wood Strands
Parallel to the Grain
Specimens
Interfacial Experiment
Modeling Of Wood Based Composites
Mat Formation Process and
Compaction
Interfacial
Properties
-0.005
0
0.005
0.01
0.015
0.02
0.025
0.03
0.035
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