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Wang, H., Huang, L., Cao, P., Ji, F., Yang, G., Guo, X., and Li, R. (2017). "Investigation of shear strength of engineered wood flooring bonded with PUR by response surface methodology," BioRes. 12(2), 3656-3665.

Abstract

The effects of process parameters (adhesive spreading rate, pressing time, and applied pressure) on the response parameter (shear strength) of engineered wood flooring bonded with polyurethane (PUR) were studied by response surface methodology. A mathematical model was established to provide a satisfying prediction for the experimental results observed. The model indicated a high degree of fitting. The results also showed that the major factors were adhesive spreading rate and pressing time. The optimized parameters for highest shear strength of engineered wood flooring were 98 g/m2 adhesive spreading rate with pressing time of 24 s and applied pressure of 1.2 MPa, respectively, within certain ranges.

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Investigation of Shear Strength of Engineered Wood Flooring Bonded with PUR by Response Surface Methodology

Huiyun Wang,a Lingling Huang,b Pingxiang Cao,a,* Futang Ji,c Guangming Yang,Xiaolei Guo,aand Rongrong Li a

The effects of process parameters (adhesive spreading rate, pressing time, and applied pressure) on the response parameter (shear strength) of engineered wood flooring bonded with polyurethane (PUR) were studied by response surface methodology. A mathematical model was established to provide a satisfying prediction for the experimental results observed. The model indicated a high degree of fitting. The results also showed that the major factors were adhesive spreading rate and pressing time. The optimized parameters for highest shear strength of engineered wood flooring were 98 g/m2 adhesive spreading rate with pressing time of 24 s and applied pressure of 1.2 MPa, respectively, within certain ranges.

Keywords: PUR; Shear strength; Engineered wood flooring; Response surface methodology

Contact information: a: Faculty of Material Science and Engineering, Nanjing Forestry University, Nanjing 210037, China; b: PowerDekor (Jiangsu) wood industry Co., Ltd, Danyang 212300, China; c: Shanghai Vohringer Wood Product Co., Ltd, Shanghai 201414, China; d: Shanghai H. B. Fuller Adhesive Co., Ltd, Shanghai 200000, China; *Corresponding author: caopx@njfu.com.cn

INTRODUCTION

The use of the engineered wood flooring has increased in daily life because of its natural grain, fine comfort level, and good stability (Chen et al. 2015). Bonding technology is key to the production of engineered wood flooring because it directly impacts the product quality and production efficiency. In the traditional bonding technology, the surface layers of engineered wood flooring are under the dual influence of water and heat, which may lead to warping deformations when using urea formaldehyde (UF) or melamine urea formaldehyde (MUF) adhesives. Polyurethane (PUR) adhesive is used to improve the engineered wood flooring because no water is used in this kind of adhesive, which solves the problem of warping deformation (Wang and Ye 2008).

For 20 years, PUR adhesive has been a versatile tool in engineered wood gluing because of its advantages, such as good strength, the absence of moisture, rapid curing at room temperature, avoidance of formaldehyde, and no mixing during processing (Kägi et al. 2006; Clauß et al.2011). The wide use of the PUR adhesive has occurred because of its inclusion in European standards for classification and requirements (EN 15425 2008).

Blanchet et al. (2003) compared four adhesives used as binders in engineered wood parquet flooring. The shear strengths of the glue lines declined gradually through testing with polyvinyl acetate (PVA) and MUF/UF adhesives, but the performance of the PUR adhesive was constant. Wang et al. (2016) evaluated the shear strength of Scots pine wood and its glued joints in a cold climate with various adhesives. They concluded that as the temperature decreased from 20 °C to -50 °C, the shear strength of the tested PUR bond lines decreased by only 5.8%. For dynamic tests of shear strength, the PUR was the most stable adhesive. Knorz et al. (2016) investigated the deformation behavior of bonded ash with the digital image correlation technique (DIC). The results showed that shear strain (SStr) distributions (SStrD) were strongly influenced by adhesive elasticity. The PUR adhesive was more elastic than the other adhesives, and SStrD was limited for PUR in the wood. Ammann and Nieme (2015a, b) studied the fracture toughness of bonded lines of PUR adhesive in European beech wood. The experimental samples were conditioned at the relative humidities (RH) of 50%, 65%, and 95%. Their results showed that the PUR adhesive was more influenced by different RH values (Kläsler et al. 2013), and PUR adhesive performed better under dry climatic conditions. Luedtke et al. (2015) also investigated PUR-bonded hardwoods for engineered wood products. The results showed that doubling the pressing time did not seem to improve the delamination behavior. However, the primer treatment, which can improve the durability of PUR adhesive (Amen-Chen and Gabriel 2015), had a much more noteworthy influence on shear strength than on delamination.

The main objective of this study was to investigate the effects of process parameters on shear strength of the engineered wood flooring bonded with PUR adhesive. Mathematical modelling viaresponse surface methodology (RSM) was conducted to predict the shear strength and to find an optimum technological parameter to support practical applications.

EXPERIMENTAL

Materials

The core board and surface layer of engineered wood were all provided by Dare Parquet Co., Ltd. (Jiangsu, China). Table 1 provides an overview of the core board and surface layer used in this study.

Table 1. Properties of the Core Board and Surface Layer

The bonding processes were performed using PUR adhesive sample (model number NP2075T, H. B. Fuller, Shanghai, China). The sample was a white solid without formaldehyde. It was a 100% solid product with melting temperature of 150 °C to 180 °C, which can reduce the deformation and warping of wood products.

A glue application machine had the function of melting the adhesive (model number HGS, OMMA corporation, Italy), and the rolling press from the union tool corporation regulated the applied pressure by controlling the distance between the pressing rolls. A fall of 1 mm of pressing rollers indicated a pressure of about 0.4 MPa, 2 mm indicated about 0.8 MPa, and 3 mm indicated 1.2 MPa. The shear strength tests were conducted on a microcomputer control electronic universal testing machine (model number CMT6104, MTS, Shenzhen, China).

Methods

The parameters studied during the continuous cold-pressing of engineered wood flooring with PUR adhesive included adhesive spreading rate, pressing time, and applied pressure, which is represented by fall distance of rollers.

First, the rollers of the gluing machine were warmed to about 150 °C. The PUR adhesive was placed over the hot rollers until it melted. The adhesive spreading rate was controlled to a fixed value and glued to the core boards. Three surface layers were placed on one core board. Afterwards, the boards were kept in laminating machines with controlled pressing pressure and pressing time. In total, 51 samples were produced, i.e., 3 samples for each combination of the process parameters. After the bonding process, all samples were stored in a conditioned room at 23 °C and 50% relative humidity (RH) to reach the required moisture content.

The PUR adhesive was used to bond the surface layers and core boards. The samples preparation was based on the standard for GB/T 17517 (1998) (Fig. 1). The unit for all dimensions was mm. The engineered wood floorings were conditioned in a climate-controlled chamber at 23 °C and 50% RH until the equilibrium moisture content (EMC) was reached. The floorings were cut to size as shown in Fig. 2, which conformed to the standard mentioned above. To avoid deformation and to maintain the stress in shear during the compression test, a metal plate was glued to the surface of the samples (Fig. 3) as suggested in Lang et al. (2000).

Fig. 1. Standard samples for the test of shear strength

Fig. 2. Flooring samples for the test of shear strength

Fig. 3. Metal plate reinforced shear test

The response surface methodology (RSM) used in this study was a combination of mathematical and statistical methods. RSM can build a continuous surface model to evaluate the process parameters and to confirm the range of optimal conditions. The number of test groups is relatively small, which saves human and material resources. This method has been applied to optimize a variety of biological processes (DeMeo et al. 1985; Rama et al. 1999; Ester et al. 2001). In this study, a Box-Behnken design was used to arrange the testing levels (Table 2) (Box and Behnken 1960).

Table 2. Process Parameters and Corresponding Codes and Levels

RESULTS AND DISCUSSION

The shear strengths of engineered wood floorings are shown in Table 3. The standard order on the left-most column was created by the Design-Expert software (Stat-Ease Inc., USA), and the second column on the left was the real testing order, which was randomized to avoid the impacts of testing order on results.

Analysis of Variance (ANOVA)

According to the Box-Behnken experimental design, the corresponding codes and levels are shown in Table 2, and the experimental data is shown in Table 3. The results are shown in the Table 4. The P value of the significant levels of each model and factors used.

As shown in Table 4, the value of the model was less than 0.05, which indicated that it was statistically significant, and so were A, B, and AB. Therefore, the adhesive spreading rate and pressing time had a meaningful effect on the shear strength. In addition, the R2 value of 0.94 was close to the adjusted R2 of 0.87. This result further indicated that the model achieved a high degree of fit and could predict the experimental results.

Table 3. Experimental Data

Table 4. ANOVA of the Shear Strength

Regression Models and the Accuracy of Models

A non-linear regression analysis was adopted to establish the quadratic model of the adhesive shear strength. The regression model of adhesive is shown in Eq. 1, where A is the adhesive spreading rate, B is the pressing time, and C is the fall distance of rollers, in terms of the coded levels.

Shear strength = 2.83 + 0.23A + 0.2B + 0.024C – 0.11A*B + 0.1A*C – 0.035B*C -0.044A+ 0.069B+ 0.084C2 (1)

Table 5. ANOVA of the Shear Strength

The accuracy of the model was verified by three groups of random experiments. The predicted values of the model and the actual values of the tests, as well as the error values are shown in Table 5. The error values in the three groups were very small, which showed that the accuracy of the quadratic model of the adhesive shear strength was high. Thus, the quadratic model could be used to predict the shear strength of the engineered wood flooring. The relevance between the predicted and actual values is shown in Fig 4. The relative coefficient was 0.94.

Fig. 4. Relevance graph for shear strength

The effect of shear strength is shown in Fig. 5. In the interval of selected parameters, the shear strength increased with increasing adhesive spreading rate and pressing time. The effect of adhesive spreading rate on the shear strength was due to the fact that not enough adhesive material penetrates wood when spreading was done at a low level, and it formed a starved glueline, which has a negative effect on shear strength. With the increasing adhesive spreading rate, more adhesive penetrated the wood, which caused a continuous and stable glueline, and the shear strength increased. The shear strength decreased when the adhesive spreading rate was continually increased. Too much adhesive resulted in a thick glueline, which had a bad effect on gluing performance; hence, the shear strength decreased.

Fig. 5. Tendency showing the effect of three parameters on shear strength

Fig. 6. Response for shear strength

The pressing time was a significant parameter. The mechanism of this effect on shear strength may be that with the extension of pressing time more adhesive penetrated the wood, which was essential to yield a good gluing performance and high shear strength. The shear strength decreased as the pressing time continued to be extended. As pressing time grew, the temperature of adhesive dropped, which may have had a negative effect on the permeation of adhesive, and the shear strength was decreased.

As functions of the major process parameters, the shear strength from mathematical models are shown in Fig. 6. The optimized process parameters to achieve the highest shear strength are shown in Fig. 6. The optimized parameters for highest shear strength were 98 g/m2, 24 s, and 3 mm for adhesive spreading rate, pressing time, and fall distance of rollers, respectively. The fall distance of 3 mm represents 1.2 MPa.

CONCLUSIONS

  1. The response parameter of shear strength was affected by adhesive spreading rate and pressing time. Applied pressure had insignificant effects on shear strength.
  2. The shear strength of engineered wood flooring bonded with PUR adhesive increased with increasing adhesive spreading rate and pressing time.
  3. The mathematical models had a high degree of fit and provided a satisfying prediction for the experimental results.
  4. The optimized parameters for highest shear strength of engineered wood flooring were 98 g/m2 adhesive spreading rate with pressing time of 24 s and applied pressure of 1.2 MPa.

ACKNOWLEDGMENTS

The authors are grateful for funding from the Forestry Science and Technology Extension Project (2015-18), the Science and Technology Project of Jiangsu Province (No. BY2015006-04), and the project funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD).

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Article submitted: December 23, 2016; Peer review completed: March 17, 2017; Revised version received and accepted: March 24, 2017; Published: March 29, 2017.

DOI: 10.15376/biores.12.2.3656-3665