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Article

Effects of Chip Type on the Properties of Chip–Sawdust Boards Glued with Polymeric Diphenyl Methane Diisocyanate

Department of Wood Based Materials, Faculty of Wood Technology, Poznań University of Life Sciences, Wojska Polskiego 38/42, 60-627 Poznań, Poland
*
Authors to whom correspondence should be addressed.
Materials 2020, 13(6), 1329; https://doi.org/10.3390/ma13061329
Submission received: 21 February 2020 / Revised: 9 March 2020 / Accepted: 12 March 2020 / Published: 14 March 2020
(This article belongs to the Section Construction and Building Materials)

Abstract

:
This study investigates the effects of chip type and sawdust percentage on physical and mechanical properties of chip–sawdust boards. The used wood chips varied in linear dimensions and original source. The origin determined the wood quality, which translated into the chips’ linear dimensions. The used materials were chips from sawmill waste processing, aggregate processing of sawmill wood, and chips intended for medium-density boards. The experiment demonstrated that the best boards in terms of mechanical properties were obtained from 4-mm-thick chips with 30% sawdust content and a density of 850 kg/m3. These boards meet the requirements of the EN 312 (2010) standard for P5 boards.

1. Introduction

Wood-based materials are mostly made from wood-derived products, such as particles or strands joined with glue. Their properties depend on the quality of the used particles or strands and, more specifically, on their linear dimensions. The particles’ geometry determines the mechanical properties of wood-based materials, while the adhesive determines their resistance or durability under specific process conditions. Wood-based materials are also classified depending on the particle size and orientation. The main goal of machining is obtaining appropriate material for further production, i.e., retaining as many wood characteristics as possible, which is usually related to particle geometry [1,2,3]. The linear dimensions of wood particles considerably affect the mechanical and physical properties of the boards made from them [4,5,6].
The desired dimensions of the particles are obtained via careful machining, which generates chips of specific linear dimensions, primarily thickness. The other linear dimensions are less controllable. While controlling length may be, to a certain degree, regulated by the length of the raw materials or special cutting knives, chip width is quite often the result of uncontrolled breaking. With lower requirements for the final product, a lower-quality (shape, linear dimensions) material can be used to produce chips intended for manufacturing wood products. Currently, the minimum requirements for particleboards containing fine chips in this respect are set in Europe by the EN 312 standard [7]. Boards of this type can be successfully produced from various types of biomass, e.g., fragmented primary (forest) wood [8,9], secondary wood [10], or crop straw [11,12,13]; all types of resins, pure, modified, or hybrids, may be used to bond them [14,15,16,17,18,19]. Irrespective of the wood’s origin, it is first fragmented into larger pieces, 30 to 60 mm in size and 3 to 9 mm in thickness (chips), and then into proper strands, 10 to 20 mm long, 3 to 10 mm wide, and 0.4 to 0.7 mm thick.
A considerable portion of the chips used by particleboard facilities is generated by sawmills. Chips result from the fragmentation of wood pieces formed during the production of lumber with set dimensions, as well as the fragmentation of low-quality lumbers or wings. Processing round-wood in cants with the use of chipping canters is also becoming popular. The different methods of chip production and the types of fragmented wood are the main reason for the various linear dimensions of wood chips. Therefore, regardless of the origin of the chips and their production method, they need to be further fragmented into strands to unify their geometry to meet technological requirements. Sawdust, produced by other facilities than sawmills alone, is sorted and shredded, if necessary, and then combined with chips to produce standard particleboards. As some of the produced boards are relatively thick, i.e., over 22 mm, they may be made from coarser materials than those commonly used. Using coarser materials also allows for saving energy spent on obtaining the final material used for mat formation.
This study investigated the option of using wood materials generated in various sawmill facilities without further processing for chip–sawdust board production. As the moisture content of wood chips and sawdust stored in the open air can vary by up to about 70% over the course of a year, the drying process was limited by using an adhesive that allows for gluing damp wood.

2. Materials and Methods

This study involved three types of wood chips and pine sawdust (Pinus Sylvestris L.). The first type of chips was obtained via fragmentation of side surfaces of timber wood with a chipping head; the second type was obtained via fragmentation of sawmill waste in a chopper for further processing in papermaking or the particleboard industry; and the third type was obtained via fragmentation of wood in a chopper (Research & Development Centre for Wood-Based Panels, Czarna Woda, Poland) for the production of dry fiberboards. The fraction remaining after elimination of particles that were too large (on a 50 mm × 50 mm flat screen) underwent a dimensional analysis. Sawmill chips (type A) were 36.3 mm long, 12.7 mm wide, and 4 mm thick. Head chips (type B) were 30.3 mm long, 11.8 mm wide, and 5.0 mm thick, while defibered chips (type C) were 33.3 mm long, 21.2 mm wide, and 7 mm thick. These specified linear dimensions represent about 100 chips collected randomly from a prepared mass of chip samples. These samples were not identified based on the chips’ origin, but based on the type of chopper and setting of knives.
The distribution of linear dimensions of the experimental chips is presented in Figure 1, Figure 2 and Figure 3. Figure 1 shows that the lengths of types A and B chips are close to the average, while as many as 75% of type C chips have lengths of 31.1 to 36.2 mm and 36.2 to 41.3 mm. Moreover, none of the distributions were normal. Similarly, no normal distribution was achieved for the width of the chips, irrespective of the production method (Figure 2). In addition, chips generated with the chipping head were predominantly between 8.9 and 11.3 mm in width; this accounted for nearly 40% of the total chip mass. The lower average thickness of type A chips was due to the presence of a larger number of thinner chips. Many of the type A and B chips fell into the middle of the thickness distribution interval, while type C chips showed a large variability over the thickness range (Figure 3). The Kruskal–Wallis test (marked as SW-W) revealed that the chips only differed significantly in their thickness (Table 1). Type A and C chips had statistically similar lengths and type A and B chips had similar widths.
Before gluing, the wood chips with a moisture content of 21% were mixed with pine sawdust with a moisture content of 18%. The sawdust content was 30% or 50% of the chips’ dry weight. The mixture was glued with polymeric diphenyl methane diisocyanate (pMDI, ONGRONAT® 2100, BorsodChem Group, Kazincbarcika, Hungary); 4% pMDI was used per dry weight of total mass. One-ply boards were pressed to reach an assumed thickness of 26 mm and a density of 650 kg/m3, 750 kg/m3, and 850 kg/m3. The temperature of the heating plates was 200 °C. The maximum pressure reached 2.5 MPa for the boards with a density of 650 kg/m3, 2.8 MPa for the boards with a density of 750 kg/m3, and 3.5 MPa for the boards with a density of 850 kg/m3. The mat was pressed for 25 s/mm of the board thickness; the total time of press closing and opening was 30 s.
Variants of the boards are presented in Table 2, and the appearance of the raw materials and final board is shown in Figure 4.
After an acclimation (seven days, 55 ± 5% RH, 21 ± 1 °C), the boards were tested as per the relevant standards and the following parameters were assessed:
  • modulus of rupture (MOR) and modulus of elasticity (MOE) according to EN 310 [20];
  • internal bond (IB) according to EN 319 [21]; and
  • thickness swelling (TS) after 24 h according to EN 317 [22] and water absorption (WA).
The assessments of mechanical properties and water resistance involved 6 to 12 samples of each variant. The remaining analyses were made in three to five replications. The results were analyzed using the STATISTICA 13.0 package (Version 13.0, StatSoft Inc., Tulsa, OK, USA).

3. Results and Discussion

Table 3 presents the properties of the experimental chip samples and chip–sawdust boards evaluated using a three-point bending test. They had a relatively high modulus of elasticity of over 2300 N/mm2 at a coefficient of variation below 8.5%. The modulus of rupture (MOR) showed a considerably greater variability, which was probably due to the uneven distribution of sawdust among the chips. Considering the adhesive, the boards should meet the requirements of the EN 312 (2010) standard for P5 and P3 boards. The statistical analysis demonstrates that the boards meet the requirements for the MOE irrespective of the chip quality, sawdust percentage, or density. In terms of bending strength, only the boards of higher density made from type A chips were acceptable. The three-factor ANOVA for the main factors showed that the boards differ significantly in their bending strengths and moduli of elasticity depending on the type of chips, density, and sawdust percentage (small letters in Table 3 of the first three columns).
The assumed density intervals were 100 kg/m3, which ensured considerable differences in the boards’ properties. The increasing sawdust content negatively correlated with the bending strength and MOE. Moreover, as the chips only differed in thickness (Table 1), the changes strongly depended on thickness, rather than other linear parameters. The findings corroborated a well-known observation of reduced bending strength above a certain chip thickness. The individual board variants belong to numerous homogeneous groups identified in Tukey’s test. This classification is likely due to various effects of the chips’ type and the percentage of sawdust on the MOR and MOE values. Tukey’s test was performed for one-factor analysis. It demonstrated no clear effects of the content of sawdust when in the 30% to 50% range. Statistically, better properties were evaluated in the bend test for boards made from type A chips and a 30% content of sawdust than for boards made of type C chips and the same sawdust percentage. Although the performed tests did not allow for a determination of relations for the three variables, the discussed properties showed a clear linear dependence on the chips’ thickness, which confirmed the much stronger effect of the chip type than of the sawdust percentage (Table 4).
The internal bond for the 26-mm-thick P3 and P5 boards was 0.35 N/mm2. This condition was met by chip boards with 30% sawdust content made from type A chips with densities of 750 kg/m3 and 850 kg/m3 and from type B chips with a density of 850 kg/m3 (Table 5).
The condition was almost met by the boards with an even percentage of chips and sawdust, but the value of the fifth percentile, at only 0.32 N/mm2, was too low. However, the three-factor analysis revealed no differences in IB caused by different percentages of chips and sawdust. Similarly, the result of the post hoc Tukey’s test was 0.7997, and the result of the two-factor analysis without chip-only boards was F (1, 80) = 0.08235, p = 0.77488. Therefore, while the effects of density are obvious at this sawdust percentage, the chip type is also important. Moreover, this study confirmed that the mechanical properties of chip–sawdust boards and chip boards depend primarily on the chip quality.
The thickness swelling of the chip–sawdust boards was relatively high (Table 5). This was likely due to not having used additional agents for improving hydrophobicity and utilizing only highly coarse material, i.e., large pieces of wood. Swelling was most intense for the boards made only from chips, and more so for type B and type C chips. The three-factor analysis that did not take chip-only boards into account showed no significant differences in the swelling of the boards made from type B and type C chips; the latter had swelling that was about 50% greater than boards made from type A chips. Moreover, the higher the sawdust content, the lower the board swelling. This is likely due to the lower swelling of the finer fractions that fill in spaces between larger pieces of wood.
Tests indicated that the mechanical properties of the chip boards strongly depend on chip quality, and more specifically on chip thickness. The chip and strand thickness restrict the number of board layers. As the board components become larger, fewer layers can be formed, which results in lower mechanical properties. A beneficial effect of increasing board thickness with a constant gluing degree, as described in this study, is the decrease in the specific area of the glued material. This results in an improved loading coefficient, defined as the ratio of the adhesive’s dry weight to the specific surface of the glued material. This effect was noted in the study. However, large chips may crack during water-soaking and when subjected to the tensile test (Figure 5). Under these conditions, the chips split and the resulting values are considerably lower than the average value. In the water-soaking case, this effect is likely caused by desorption changes or stress. In the IB case, chip cracking was only sporadic and occurred mostly in low-density boards. The tensile bond of pine wood ranges between 2.9 N/mm2 and 4.2 N/mm2, depending on the quality of the wood used for chip preparation and its anatomical arrangement. This value is about 10 times greater than the board IB, which means that there must be other reasons for chip cracking. In this case, it was probably due to the low quality of bonding associated with insufficient pressing and insufficient contact between the board’s components. Furthermore, chip cracking occurred in boards not subjected to water-soaking or the tensile test. This may have been be caused by desorptive stress, as the boards were made from material with a relatively high moisture content, and by stress generated during the mat pressing.

4. Conclusions

Unprocessed sawmill by-products in the form of chips and sawdust may serve as materials of full value for the production of wood-based boards with favorable physical and mechanical properties. Such boards have a limited minimum thickness, starting from approximately a dozen millimeters, a higher density of about 50 to 100 kg/m3, and allow for the use of fragmented wood material generated in sawmill facilities.
Boards with the best properties contained chips of lower thickness and a percentage of sawdust of up to 50%. Although the study did not demonstrate it clearly, it seems that a combination of chips and sawdust positively affects the board quality by making its structure more homogeneous.
The chips and sawdust should be thoroughly mixed to limit the presence of free spaces in the board structure, which lowers its strength. The mechanical properties are also decreased by individual chip cracking; the latter’s cause is not entirely clear.
The best boards in terms of mechanical properties were obtained from type A chips with a 30% content of sawdust and a density of 850 kg/m3.

Author Contributions

Conceptualization, R.M. and A.D.; methodology, R.M. and A.D.; validation, D.D. (Dorota Dziurka), D.D. (Dorota Dukarska), A.D., and M.W.; formal analysis, A.D. and R.M.; investigation, D.D. (Dorota Dziurka), D.D. (Dorota Dukarska), A.D., and M.W.; resources, A.D., D.D. (Dorota Dukarska), and M.W.; writing—original draft preparation, R.M., A.D., and D.D. (Dorota Dziurka); writing—review and editing, A.D. and D.D. (Dorota Dziurka); visualization, R.M. and A.D.; project administration, R.M. and D.D. (Dorota Dziurka); funding acquisition, R.M. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Centre for Research and Development, BIOSTRATEG3/344303/14/NCBR/2018. The authors are grateful for the support of the Ministry of Science and Higher Education program “Regional Initiative of Excellence” in the years 2019–2022, Project No. 005/RID/2018/19.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Steiner, R.P.; Xu, W. Influence of flake characteristics on horizontal density distribution of flakeboard. For. Prod. J. 1995, 45, 61–466. [Google Scholar]
  2. Barnes, D. An integrated model of the effect of processing parameters on the strength properties of oriented strand wood products. For. Prod. J. 2000, 50, 33–42. [Google Scholar]
  3. Barnes, D. A model of the effect of stand length and stand thickness on the strength properties of oriented wood composites. For. Prod. J. 2001, 51, 36–46. [Google Scholar]
  4. Wong, E.D.; Zhang, M.; Wang, Q.; Kawai, S. Formation of the density profile and its effects on the properties of particleboard. Wood Sci. Technol. 1999, 33, 237–340. [Google Scholar] [CrossRef]
  5. Fakhri, H.R.; Semple, K.E.; Smith, G.D. Transverse permeability of OSB. Part I. The effects of core fines content and mat density on transverse permeability. Wood Fiber Sci. 2006, 38, 450–462. [Google Scholar]
  6. Fakhri, H.R.; Semple, K.E.; Smith, G.D. Transverse permeability of OSB. Part II. Modeling the effects of density and core fines content. Wood Fiber Sci. 2006, 38, 463–473. [Google Scholar]
  7. EN 312. Particleboards. Specifications; European Committee for Standardization: Brussels, Belgium, 2010.
  8. De Almeida, A.C.; De Araujo, V.A.; Morales, E.A.M.; Gava, M.; Munis, R. Wood-bamboo particleboard: Mechanical properties. BioResources 2017, 12, 7784–7792. [Google Scholar]
  9. Surdi, P.G.; Bortoletto, G.; de Castro, V.R.; Brito, F.M.S.; Berger, M.D.; Zanuncio, J.C. Particleboard production with residues from mechanical processing of Amazonian woods. Revista Arvore 2019, 43, e4301202. [Google Scholar] [CrossRef]
  10. Faraca, G.; Boldrin, A.; Astrup, T. Resource quality of wood waste: The importance of physical and chemical impurities in wood waste for recycling. Waste Manag. 2019, 87, 135–147. [Google Scholar] [CrossRef] [PubMed]
  11. Dziurka, D.; Mirski, R. Lightweight boards from wood and rape straw particles. Drewno 2013, 56, 19–32. [Google Scholar] [CrossRef]
  12. Dukarska, D.; Czarnecki, R.; Dziurka, D.; Mirski, R. Construction particleboards made from rapeseed straw glued with hybrid pMDI/PF resin. Eur. J. Wood Prod. 2017, 75, 175–184. [Google Scholar] [CrossRef]
  13. Mirski, R.; Dziurka, D.; Banaszak, A. Properties of particleboards produced from various lignocellulosic particles. BioResources 2018, 13, 7758–7765. [Google Scholar] [CrossRef]
  14. Irle, M.A.; Bolton, A.J. Physical aspects of wood adhesive bond formation with formnaldehyde based adhesives. Part II. binder physical properties and particleboard durability. Holzforschung 1988, 42, 53–58. [Google Scholar] [CrossRef]
  15. Sellers, T., Jr. Wood adhesives market builds a promising future on a profitable past. Adhäsion Age 1992, 35, 22–25. [Google Scholar]
  16. Miller, T.; Creel, L.D.; Detlefsen, W.D. Hybrid Phenol-Formaldehyde and Polymeric Isocyanate Based Adhesive and Methods of Synthesis and Use. U.S. Patent 6,478,998, 12 November 2002. [Google Scholar]
  17. Dziurka, D.; Łęcka, J. The effect of methods of introducing acrylic emulsions grafted with acetoacetyl groups on the properties of particleboards. J. Appl. Polym. Sci. 2004, 91, 2256–2264. [Google Scholar] [CrossRef]
  18. Mirski, R.; Dziurka, D.; Łęcka, J. Potential of shortening pressing time or reducing pressing temperature for plywood resinated with PF resin modified using alcohols and esters. Eur. J. Wood Prod. 2011, 69, 317–323. [Google Scholar] [CrossRef] [Green Version]
  19. Dziurka, D.; Mirski, R. Properties of liquid and polycondensed UF resin modified with pMDI. Drvna Industrija 2014, 65, 115–119. [Google Scholar] [CrossRef]
  20. EN 310. Wood-Based Panels—Determination of Modulus of Elasticity in Bending and of Bending Strength; European Committee for Standardization: Brussels, Belgium, 1993.
  21. EN 319. Particleboards and Fibreboards—Determination of Tensile Strength Perpendicular to the Plane of the Board; European Committee for Standardization: Brussels, Belgium, 1993.
  22. EN 317. Particleboards and Fibreboards—Determination of Swelling in Thickness after Immersion in Water; European Committee for Standardization: Brussels, Belgium, 1993.
Figure 1. Histogram of the chip length distribution for two production batches.
Figure 1. Histogram of the chip length distribution for two production batches.
Materials 13 01329 g001
Figure 2. Histogram of the chip width distribution for two production batches.
Figure 2. Histogram of the chip width distribution for two production batches.
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Figure 3. Histogram of the chip thickness distribution for two production batches.
Figure 3. Histogram of the chip thickness distribution for two production batches.
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Figure 4. Appearance of the raw wood materials used to make the boards and the final board: (a) Type A chips; (b) Type B chips; (c) Type C chips; (d) Sawdust; (e) Chip–sawdust board.
Figure 4. Appearance of the raw wood materials used to make the boards and the final board: (a) Type A chips; (b) Type B chips; (c) Type C chips; (d) Sawdust; (e) Chip–sawdust board.
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Figure 5. Cracked chips in the board structure.
Figure 5. Cracked chips in the board structure.
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Table 1. The Kruskal–Wallis Test and ANOVA of Kruskal–Wallis Ranks.
Table 1. The Kruskal–Wallis Test and ANOVA of Kruskal–Wallis Ranks.
ParameterAverage Rank AAverage Rank BAverage Rank CHpA/BA/CB/C
Length (mm)183.3529102.6078171.920050.30890.00006.56000.92425.6032
Width (mm)129.9118118.8608209.750064.00520.00000.88966.45417.3394
Thickness (mm)113.2206149.2647195.865044.84550.00000.01020.00000.0005
Table 2. Variants of Experimental Chip Boards.
Table 2. Variants of Experimental Chip Boards.
Chip TypeABC
Sawdust percentage (%)03050305030
Density (kg/m3)-650-650--
750750750750750750
-850-850--
Table 3. Particleboard Properties Yielded by the Three-Point Bending Test.
Table 3. Particleboard Properties Yielded by the Three-Point Bending Test.
Chip TypeSawdust Percentage (%)Board Density (kg/m3)MOR ***MOE ****
x (N/mm2)CV ** (%)x (N/mm2)CV ** (%)
A c*0 c750 b*18.0 e*6.63570 d*2.9
A c30 b650 a*11.4 a,b2.02640 a,b1.6
A c30 b750 b14.1 b,c,d7.93250 c,d4.3
A c30 b850 c17.1 d,e7.64190 e1.6
A c50 a750 b13.4 a,b,c7.83390 d4.2
B b30 b650 a10.7 a,b17.52430 a8.4
B b30 b750 b12.8 a,b,c15.93000 b,c8.0
B b30 b850 c15.5 c,d,e4.13620 d3.7
B b50 a750 b11.4 a,b4.52750 a,b2.6
C a30 b750 b10.1 a12.22380 a4.4
a,b,c,d,e* Letters denote homogeneous groups and consecutive letters denote increasing values. ** Coefficient of variation; *** Modulus of rupture; **** Modulus of elasticity.
Table 4. The Percentage Effect of Factors on Static Bending Strength and Modulus of Elasticity (MOE).
Table 4. The Percentage Effect of Factors on Static Bending Strength and Modulus of Elasticity (MOE).
FactorBending StrengthMOE
Sum of SquaresPercentage Effect of the FactorSum of SquaresPercentage Effect of the Factor
Chip type29.405 (29.405) 110.3 (14.4)2,635,96122.8
Board density112.101 (112.101)39.2 (55.0)7,576,10865.5
Sawdust percentage (%)78.360 (4.569)27.4 (2.2)285,6002.5
Error60.070 (57.732)23.1 (28.4)1,071,1879.2
Total285.936 (203.807)100.011,568,856100
1 Values in parentheses result from an analysis that does not account for chip-only boards.
Table 5. Internal Bond (IB) and Thickness Swelling (TS).
Table 5. Internal Bond (IB) and Thickness Swelling (TS).
Chip Type **Sawdust Percentage ** (%)Board Density ** (kg/m3)IBTS
x (N/mm2)CV *** (%)x (N/mm2)CV (%)
A c*0 b*750 b0.50 f*13.641.9 g*9.4
A c30 a*650 a0.30 a,b,c13.021.5 b4.8
A c30 a750 b0.41 d* ,e*11.217.1 a7.6
A c30 a850 c0.52 f13.926.5 c16.9
A c50 a750 b0.36 b,c,d6.5519.4 a,b8.5
B b30 a650 a0.27 a10.227.6 c,d12.6
B b30 a750 b0.33 a,b,c4.4634.7 e,f2.7
B b30 a850 c0.48 e,f8.2436.8 f3.4
B b50 a750 b0.37 c,d7.7131.1 d,e2.8
C a30 a750 b0.29 a,b17.432.6 e6.6
a,b,c,d,e,f,g* Letters denote homogeneous groups and consecutive letters denote increasing values. ** Values from a three-factor analysis in Tukey’s honest significant difference (HSD) test for IB. *** Coefficient of variation.

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MDPI and ACS Style

Mirski, R.; Derkowski, A.; Dziurka, D.; Wieruszewski, M.; Dukarska, D. Effects of Chip Type on the Properties of Chip–Sawdust Boards Glued with Polymeric Diphenyl Methane Diisocyanate. Materials 2020, 13, 1329. https://doi.org/10.3390/ma13061329

AMA Style

Mirski R, Derkowski A, Dziurka D, Wieruszewski M, Dukarska D. Effects of Chip Type on the Properties of Chip–Sawdust Boards Glued with Polymeric Diphenyl Methane Diisocyanate. Materials. 2020; 13(6):1329. https://doi.org/10.3390/ma13061329

Chicago/Turabian Style

Mirski, Radosław, Adam Derkowski, Dorota Dziurka, Marek Wieruszewski, and Dorota Dukarska. 2020. "Effects of Chip Type on the Properties of Chip–Sawdust Boards Glued with Polymeric Diphenyl Methane Diisocyanate" Materials 13, no. 6: 1329. https://doi.org/10.3390/ma13061329

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