3.1 Research on the Process of Silica Sol/Phenolic Resin Impregnation and Modification Treatment of Poplar Wood
Table 1 presents the 3-factor, 3-level design of the L9 (33) orthogonal experiment, with weight gain, absorption rate, and mechanical properties as the main evaluation indicators for impregnation effectiveness. The optimal process conditions for the composite impregnation and modification of poplar wood were selected. Table 2 shows the results of the orthogonal experiment for weight gain and water absorption rate, while Table 3 displays the results of the orthogonal experiment for mechanical properties. Table 4 presents the results and analysis of the orthogonal experiment for weight gain, water absorption rate, and flexural strength, while Table 5 provides the results and analysis of the orthogonal experiment for elastic modulus, impact toughness, and hardness.
Table 1 Orthogonal experimental factor table
Level
|
Factor A
|
Factor B
|
Factor C
|
Composite impregnation solution
|
Applied pressure / MPa
|
Pressurization duration / h
|
1
|
S15/PF
|
0.8
|
1
|
2
|
S30/PF
|
1.0
|
2
|
3
|
S80/PF
|
1.2
|
3
|
Table 2 Orthogonal experimental results of weight gain rate and water absorption rate
Experiment
|
Weight gain rate / %
|
Water absorption rate /%
|
A1B1C1
|
59.55
|
95.23
|
A1B2C2
|
63.04
|
78.27
|
A1B3C3
|
92.28
|
34.36
|
A2B1C3
|
90.54
|
30.83
|
A2B2C1
|
56.46
|
78.65
|
A2B3C2
|
66.25
|
40.37
|
A3B1C2
|
56.41
|
90.49
|
A3B2C3
|
95.04
|
45.20
|
A3B3C1
|
56.25
|
101.69
|
Control material
|
-
|
150.20
|
Table 3 Orthogonal experimental results of mechanical properties
|
MOR/MPa
|
MOE/ GPa
|
Impact toughness
/ kJ/m2
|
Hardness
/kN
|
A1B1C1
|
70.10
|
42.41
|
67.50
|
1.374
|
A1B2C2
|
96.90
|
48.13
|
56.25
|
1.537
|
A1B3C3
|
92.00
|
33.85
|
101.25
|
2.801
|
A2B1C3
|
101.40
|
40.98
|
90.00
|
2.763
|
A2B2C1
|
79.20
|
33.06
|
57.50
|
1.275
|
A2B3C2
|
71.20
|
26.96
|
74.06
|
1.628
|
A3B1C2
|
67.12
|
34.93
|
65.94
|
1.230
|
A3B2C3
|
86.00
|
36.37
|
80.00
|
1.841
|
A3B3C1
|
78.70
|
34.12
|
66.56
|
1.327
|
Control material
|
65.26
|
6.36
|
55.00
|
1.210
|
Table 4 Orthogonal Test Results and Analysis of Weight Gain Rate, Water Absorption Rate, and MOR
Level value
|
Weight gain rate /%
|
Water absorption rate /%
|
MOR /MPa
|
A
|
B
|
C
|
A
|
B
|
C
|
A
|
B
|
C
|
k1
|
71.62
|
68.83
|
57.42
|
69.28
|
72.18
|
91.86
|
86.33
|
79.54
|
76.00
|
k2
|
71.08
|
71.51
|
61.90
|
49.95
|
67.37
|
69.71
|
83.93
|
87.37
|
78.41
|
k3
|
69.23
|
71.59
|
92.62
|
79.13
|
58.81
|
36.80
|
77.27
|
80.63
|
93.13
|
R
|
2.39
|
2.76
|
35.2
|
29.18
|
13.37
|
55.06
|
9.06
|
7.83
|
17.13
|
Table 5 Orthogonal Test Results and Analysis of MOE, Impact Toughness, and Hardness
Level value
|
MOE//GPa
|
Impact toughness /kJ/m2
|
Hardness /kN
|
A
|
B
|
C
|
A
|
B
|
C
|
A
|
B
|
C
|
k1
|
41.46
|
39.44
|
36.53
|
75.00
|
74.48
|
63.85
|
1.904
|
1.993
|
1.325
|
k2
|
33.67
|
39.19
|
36.67
|
73.85
|
64.58
|
65.42
|
1.889
|
1.551
|
1.465
|
k3
|
35.14
|
31.64
|
37.07
|
70.83
|
80.62
|
90.42
|
1.466
|
1.919
|
2.468
|
R
|
7.79
|
7.80
|
0.54
|
4.17
|
16.04
|
26.57
|
0.438
|
0.442
|
1.143
|
The optimal process conditions for impregnation and modification of poplar wood were determined using the vacuum pressure impregnation method. From Tables 2, 3, 4, and 5, it can be observed that the poplar wood treated with the silicon sol/phenolic resin composite impregnation solution exhibited varying degrees of improvement in physical and mechanical properties. However, the influence of each factor on the performance of the impregnated material differed in importance.
The factors affecting weight gain, impact toughness, and hardness were ranked as follows: pressing time (C) > pressing pressure (B) > composite impregnation solution (A). The optimal combination for weight gain and impact toughness was C3B3A1, while for hardness, it was C3B1A1.The factors influencing water absorption rate and flexural strength were ranked as follows: pressing time (C) > composite impregnation solution (A) > pressing pressure (B). The optimal combinations were C3B3A2 for water absorption rate and C3B2A1 for flexural strength.The factor affecting elastic modulus followed the order: pressing pressure (B) > composite impregnation solution (A) > pressing time (C). The optimal combination was C3B1A1.In conclusion, it can be seen that pressing pressure and pressing time have a more significant influence on the performance of the impregnated material.
3.1.1 Polymer weight gain analysis
Weight gain is an important indicator for evaluating the impregnation effect of wood, as it can determine whether the impregnating solution effectively penetrates the internal structure of the wood. A higher weight gain indicates a greater amount of impregnating solution filling the wood's pores. From the variance results in Table 6, it can be observed that F0.01 > FC > F0.05 > F0.1 > FB > FA, indicating that the pressure time (C) has the greatest influence on the weight gain of yang wood, followed by the pressure (B), and the composite impregnating solution (A) has the smallest effect. The composite impregnating solution penetrates into the wood, solidifies, fills the wood's pores, and reacts with the components of the wood's cell walls, depositing inside the wood. Based on this experiment, it can be concluded that a higher pressure allows the composite impregnating solution to penetrate the wood more effectively. Therefore, for weight gain, it is suitable to select a pressure of 1.2 MPa and a pressure time of 3 hours.
3.1.2 The water absorption weight gain rate analysis.
The wood cell wall consists mainly of hydrophilic groups, such as a large number of hydroxyl groups (Yao and Pu 2009) . From the variance results in Table 7, it can be observed that F0.01 > FC > F0.05 > F0.1 > FA > FB. Among these three factors, the pressure time (C) has the greatest impact on the water absorption weight gain rate, followed by the composite impregnation solution (A), while the pressure pressure (B) has the smallest impact. This indicates that the longer the pressure time, the more components of the impregnation solution can diffuse into the wood interior under pressure. After solidification, the impregnation solution deposits in the cell walls and cell lumens, blocking the channels through which water molecules can enter and bind with the internal -OH groups of the wood. Additionally, smaller silica sol particle size allows for easier penetration into the wood interior after being combined with phenolic resin, leading to a decreased water absorption capacity of the wood and improved dimensional stability. On the other hand, larger particle size silica sol, when combined with phenolic resin, can cause blockage of micropores on the wood's ray cell walls or ray cell membranes. Therefore, a longer pressure time can be chosen as a parameter. Based on the range and variance analysis, within the scope of this experiment, a pressure time of 3 hours and a silica sol particle size of 15 nm can be selected.
3.1.3 The analysis of flexural strength
The flexural strength of wood refers to its ability to resist bending and fracturing, and it is an important parameter to consider in the design of furniture, wooden structures, and other components (Sjostrom 1993). From Table 8, it can be observed that F0.01 > F0.05 > F0.1 > FC > FA > FB, indicating that the influence of pressing time (C) is the greatest, followed by the composite impregnation solution (A), and the impact of pressing pressure (B) is the least. Table 3 shows that the flexural strength of Yangmu significantly improves after treatment with silica sol/phenolic resin impregnation. The composite impregnation solution fills the internal voids of the wood, sharing the load with the Yangmu matrix and preventing cracking during load-bearing. Additionally, the impregnation solution can chemically bond or form hydrogen bonds with Yangmu. With longer pressing time, more impregnation solution is filled inside the wood. However, when the particle size of the silica sol becomes larger after the composite with phenolic resin, it becomes difficult for it to penetrate the wood, thereby affecting the mechanical properties of the impregnated material. Therefore, for flexural strength, a pressing time of 3 hours and a particle size of 15 nm for the silica sol are more suitable.
3.1.4 The analysis of flexural modulus of elasticity
From the variance analysis of the factors in Table 9, it can be observed that F0.01 > F0.05 > F0.1 > FB > FA > FC, indicating that the effect of pressing time (B) on the flexural modulus of wood is the greatest, followed by the effect of composite impregnation solution (A), while the effect of pressing pressure (C) is the smallest. As shown in Table 3, the flexural modulus of impregnated Yangmu is significantly improved compared to the untreated material. This is mainly attributed to the filling of the cell lumen and cell walls with the silicon sol/phenolic resin impregnation solution, the crosslinking reaction between the composite impregnation solution and the hydroxyl groups, and the formation of a network structure between cellulose fibers, thereby enhancing the flexural modulus of the wood. Therefore, considering the flexural modulus along with other physical and mechanical properties, the optimal parameters would be a pressing pressure of 1.2 MPa and a pressing time of 3 hours.
3.1.5 Impact toughness analysis
Impact toughness analysis can reflect the micro-defects and impact resistance of wood, serving as an important indicator to assess its toughness or brittleness(Bodig and Jayne 1982). The variance analysis results in Table 10 indicate that F0.01 > FC > F0.05 > FB > F0.1 > FA, with a significant effect of pressing time (C), followed by pressing pressure (B), and the least effect from the composite impregnation solution (A). As shown in Table 3, Yang wood treated with silica sol/phenol-formaldehyde resin composite impregnation solution exhibits a noticeable improvement in impact toughness compared to the raw material. This enhancement is attributed to the three-dimensional network structure and high strength and toughness properties of the nanoscale SiO2. The reinforcement and toughening effect of the silica sol/phenol-formaldehyde resin composite lead to an increase in the impact toughness of the modified Yang wood. Therefore, for impact toughness, the appropriate values for pressing time and pressing pressure are 3 hours and 1.2 MPa, respectively
Table 6 Significance of Various Factors on the Weight Gain Rate
Factor
|
SS
|
df
|
MS
|
F-ratio
|
p-value
|
A
|
9.426
|
2
|
4.713
|
0.218
|
Not significant
|
B
|
14.806
|
2
|
7.403
|
0.342
|
Not significant
|
C
|
2202.829
|
2
|
1101.414
|
50.926
|
Significant
|
Error
|
43.255
|
2
|
|
|
|
Note:F0.01(2,2)=99.00 F0.05(2,2)=19.00 F0.1(2,2)=9.00
Table 7 Significance of Various Factors on the Water Absorption Rate
Factor
|
SS
|
df
|
MS
|
F-ratio
|
p-value
|
A
|
1322.010
|
2
|
661.005
|
8.106
|
Not significant
|
B
|
275.459
|
2
|
137.730
|
1.689
|
Not significant
|
C
|
4605.366
|
2
|
2302.683
|
28.238
|
Significant
|
Error
|
163.093
|
2
|
|
|
|
Note:F0.01(2,2)=99.00 F0.05(2,2)=19.00 F0.1(2,2)=9.00
Table 8 Significance of Various Factors on the Modulus of Rupture
Factor
|
SS
|
df
|
MS
|
F-ratio
|
p-value
|
A
|
132.199
|
2
|
66.100
|
0.291
|
Not significant
|
B
|
107.790
|
2
|
53.895
|
0.237
|
Not significant
|
C
|
516.218
|
2
|
258.109
|
1.137
|
Not significant
|
Error
|
454.186
|
2
|
|
|
|
Note:F0.01(2,2)=99.00 F0.05(2,2)=19.00 F0.1(2,2)=9.00
Table 9 Significance of Various Factors on the Modulus of Elasticity
Factor
|
SS
|
df
|
MS
|
F-ratio
|
p-value
|
A
|
102.915
|
2
|
51.458
|
1.189
|
Not significant
|
B
|
117.737
|
2
|
58.868
|
1.360
|
Not significant
|
C
|
0.465
|
2
|
0.233
|
0.005
|
Not significant
|
Error
|
86.548
|
2
|
|
|
|
Note:F0.01 (2,2)=99.00 F0.05 (2,2)=19.00 F0.1 (2,2)=9.00
Table 10 Significance of Various Factors on Impact Toughness
Factor
|
SS
|
df
|
MS
|
F-ratio
|
p-value
|
A
|
27.796
|
2
|
13.898
|
1.100
|
Not significant
|
B
|
392.966
|
2
|
196.483
|
15.546
|
Not significant
|
C
|
1333.055
|
2
|
666.527
|
52.738
|
Significant
|
Error
|
25.277
|
2
|
|
|
|
Note:F0.01 (2,2)=99.00 F0.05 (2,2)=19.00 F0.1 (2,2)=9.00
Table 11 Significance of influence of various factors on hardness
Factor
|
SS
|
df
|
MS
|
F-ratio
|
p-value
|
A
|
0.371
|
2
|
0.185
|
3.580
|
Not significant
|
B
|
0.209
|
2
|
0.104
|
2.015
|
Not significant
|
C
|
2.333
|
2
|
1.166
|
22.524
|
Significant
|
Error
|
0.104
|
2
|
|
|
|
Note:F0.01 (2,2)=99.00 F0.05 (2,2)=19.00 F0.1 (2,2)=9.00
3.1.6 Hardness analysis
Hardness represents the ability of wood to resist indentation by hard objects and is an important factor to consider in components such as flooring (Hoadley 2000). Table 11 presents the significant analysis of radial hardness in wood, where the impact of pressing time (C) on wood hardness is significant, followed by the influence of composite impregnation solution (A), while the impact of pressing pressure (B) is minimal. This is attributed to the infiltration of the composite impregnation solution into the wood, which solidifies and forms a hard resin, while creating a cross-linked structure within the wood, resulting in an increase in hardness. Considering the overall effect, a silica sol particle size of 15 nm and a pressing time of 3 hours are recommended.In summary, the optimal impregnation treatment process is as follows: a composite of silica sol with an average particle size of 8-15 nm and phenolic resin, a pressing pressure of 1.2 MPa, and a pressing time of 3 hours. To further explore the strengthening mechanism of silica sol/phenolic resin composite impregnation solution on poplar wood, the selected impregnation modification process is applied to treat the poplar wood, and characterization analysis is conducted comparing the untreated material (control wood) with the silica sol/phenolic resin impregnated wood (impregnated wood).
3.2 Study on the Impregnation Mechanism of Silica Sol/Phenolic Resin Modified Poplar
3.2.1 Fourier Transform Infrared spectroscopy analysis
We performed infrared spectroscopy testing on poplar wood samples and impregnated materials to investigate the influence of silica sol/phenol-formaldehyde resin composite impregnation solution on the chemical structure of poplar wood. From Figure 1a, it can be observed that the material exhibits stretching vibration peaks and bending vibration absorption peaks of -OH at 3419 cm-1 and 1631 cm-1, respectively, while the absorption peak around 2917 cm-1 corresponds to the stretching vibration of methyl and methylene groups. In comparison to the material, impregnated poplar wood shows characteristic absorption peaks of Si-O-Si around 817 cm-1 and 460 cm-1, and a stretching vibration absorption peak of Si-O-Si near 1062 cm-1, which may also be attributed to the stretching vibration of Si-O-C (Deng et al.2021). The vibrational peaks at these positions are significantly enhanced in the impregnated material compared to the material alone, and the absorption peak around 460 cm-1 corresponds to the bending vibration of Si-O-Si
The stretching vibration characteristic peak around 2917 cm-1 shows no significant change before and after the modification of poplar wood. However, in the impregnated material, the vibrational peaks at 3419 cm-1 and 1631 cm-1 are noticeably enhanced. This is primarily attributed to the crosslinking reaction between the composite impregnation solution and the wood, resulting in a reduction in the number of free hydroxyl groups in the wood. The composite impregnation solution forms more hydrogen bonds with poplar wood. In summary, after modification with silica sol/phenol-formaldehyde resin composite impregnation solution, the poplar wood retains its original characteristic absorption peaks and also exhibits absorption peaks corresponding to Si-O-Si. This indicates that the modified wood with composite impregnation solution involves not only physical filling but also chemical bonding.
Table 12 Fitting data of C1s splitting peaks on the surface of control and impregnated wood
Material
|
C1/%
|
C2/%
|
C3/%
|
C4/%
|
Control wood
|
57.81
|
33.35
|
5.79
|
3.05
|
Impregnated material
|
39.60
|
46.52
|
10.09
|
3.78
|
3.2.2 X-ray Photoelectron Spectroscopy analysis
In order to further elucidate the reactions occurring within the wood upon treatment with silica sol/phenol-formaldehyde resin composite impregnation solution, X-ray photoelectron spectroscopy (XPS) analysis was conducted on both the poplar wood material and impregnated material, and the results are shown in Figure 1b,1c . From Figure 1b,1c, it can be observed that both the material and impregnated material exhibit strong peaks around 285 eV and 532 eV, corresponding to the absorption peaks of carbon (C) and oxygen (O) atoms, respectively. After treatment with silica sol/phenol-formaldehyde resin impregnation, the surface chemical composition of the wood undergoes changes. The presence of silicon (Si) in the impregnated material indicates the effective penetration of silica sol into the interior of the wood. Figure 1d presents a narrow scan of the Si element on the surface of the impregnated material, revealing the presence of Si-O-C chemical structures within the wood. This confirms the formation of chemical bonds between silica sol, phenol-formaldehyde resin, or wood, which is consistent with the infrared spectroscopy results.
The surface chemical structure of wood can be determined by analyzing the intensity and chemical shifts of the C1s peak in the wood. Carbon (C) in wood can exist in four different forms, with the three main forms commonly found in natural wood. From Figure 1e,1f, it can be observed that the C1 content decreases in the impregnated material, which may be attributed to the oxidation of unstable end groups of the three major components in the wood into small molecular acid substances. On the other hand, the increase in C2 and C3 content is due to the chemical crosslinking reaction between the impregnation solution and the functional groups within the wood, leading to the generation of oxygen-containing groups such as -C-O, -C=O, and -O-C=O (Matuana et al.2011). The chemical reaction between the wood and the silica sol/phenol-formaldehyde resin composite impregnation solution, resulting in the formation of Si-O-C, contributes to the increase in the relative content of C2.
3.2.3 Dynamic Mechanical Analysis
Dynamic mechanical analysis (DMA) was employed to analyze the dynamic viscoelasticity of Yang wood materials and impregnated materials. When the storage modulus of a material decreases rapidly, it indicates better toughness (Miyagawa et al.2010). Figure 2a shows the variation curve of the storage modulus with temperature for both the materials and impregnated materials, exhibiting a decreasing trend with increasing temperature. At low temperatures, the energy of molecular motion in wood is low, and under external forces, only various functional groups on branches, main chains, or side chains, as well as individual chain segments, can move. Consequently, the deformation caused by external forces is minimal, and when the force is removed, the deformation of wood immediately recovers. Therefore, the storage modulus of wood is relatively high(Li et al.2015). With the continuous increase in temperature, the thermal energy of wood molecules gradually increases, leading to a decrease in the storage modulus. The impregnated materials show an improved storage modulus compared to the materials within a certain temperature range, primarily due to the reinforcing effect of the composite impregnating solution (Li et al. 2012).. As seen in Figure 2b , the loss modulus of the impregnated materials is significantly higher than that of the materials, indicating that under increasing temperature conditions, the impregnated materials exhibit superior material properties to Yang wood materials. The peak loss modulus values for Yang wood and impregnated materials are 318 MPa and 893 MPa, respectively. Therefore, the impregnated materials possess higher toughness than the materials, and the glass transition loss peak temperature of the impregnated materials is higher than that of the materials, mainly due to possible crystallization in the amorphous region of the impregnated materials(Huang et al. 2019).
Loss tangent represents the ease of molecular viscous flow within the wood. A higher value indicates more difficult molecular flow and greater energy loss. As observed from Figure 2c, with increasing temperature, the peak loss tangent of the impregnated materials shifts towards higher temperatures, and the curve's peak value for the impregnated materials is higher than that of the materials. The corresponding temperatures for the peak loss tangents of Yang wood and impregnated materials are 61°C and 157°C, respectively, indicating the glass transition temperatures of both materials. The higher glass transition temperature of the impregnated materials is attributed to the reinforcing effect of the silica sol/phenolic resin composite impregnating solution within the wood (Lam et al.2016), indicating that the thermal stability of impregnated Yang wood is superior to the materials.
3.2.4 Thermogravimetric-Differential Thermal Gravimetric analysis.
To investigate the influence of silica sol/phenolic resin composite impregnating solution on the thermal properties of Yang wood, thermal performance tests were conducted on the materials before and after modification. Figures 2d and 2e represent the TG-DTG curves of Yang wood before and after modification. From Figure 2d, it can be observed that the thermal decomposition of Yang wood can be mainly divided into four stages. In the temperature range of 25-120°C, it is primarily attributed to the evaporation of moisture inside the wood. In the temperature range of 120-220°C, the main components of the wood decompose into substances such as CO and CO2. At temperatures ranging from 220 to 400°C, the wood undergoes intense thermal decomposition, with a mass loss ranging from approximately 45.0% to 79.5%. At temperatures between 400 and 800°C, the wood starts to combust, and the residual mass fraction of the modified material at 800°C is 21.81%, significantly higher than that of the control material (9.83%). This indicates that the impregnated material exhibits improved heat resistance compared to the original material.
From the DTG curve, it can be observed that the maximum decomposition rate temperature of the original material is 358.7°C, which is approximately 59°C higher than that of the impregnated material (300.2°C). This indicates that the Yang wood treated with silica sol/phenolic resin impregnation undergoes earlier decomposition and char formation, attributed to the composite impregnating solution disrupting the crystalline structure. Therefore, it can be concluded that the thermal stability of Yang wood impregnated with silica sol/phenolic resin is significantly improved compared to the original material. Additionally, the cross-linking structure formed between the silica sol/phenolic resin composite impregnating solution and the wood facilitates the charring process.
3.2.5 Scanning Electron Microscopy analysis
To determine the distribution of the composite impregnating solution within Yang wood, SEM (Scanning Electron Microscopy) was utilized to observe the microstructure of both the original material and impregnated material. Figure 3a,3b shows the cross-sectional SEM images of the materials. A comparison reveals that the original material contains hollow and permeable vessels, while the impregnated material, due to the penetration of the silica sol/phenolic resin into the wood and subsequent polymerization and solidification upon high-temperature drying, exhibits vessels filled with the impregnating solution. Figure 3c,3d displays the radial section SEM image, where it can be observed that most of the pits and ray cells along the rays of the impregnated material are filled with resin, indicating successful permeation of the impregnating solution into the wood vessels and ray cells, achieving a desirable deposition effect. Figure 3e,3f presents the tangential section SEM image, demonstrating the uniform distribution of the silica sol/phenolic resin composite impregnating solution within the vessels and pits of the impregnated material. Infrared spectroscopy analysis further confirms that the composite impregnating solution undergoes cross-linking reactions with the active groups of the wood, enabling its stable presence within the wood structure(Lang et al.2013), thereby enhancing the dimensional stability and mechanical properties of the wood.