| Literature DB >> 28788217 |
Yoichi Kojima1, Akiko Isa2, Hikaru Kobori3, Shigehiko Suzuki4, Hirokazu Ito5, Rie Makise6, Masaki Okamoto7.
Abstract
Wood-based materials are used extensively in residual construction worldwide. Most of the adhesives used in wood-based materials are derived from fossil resources, and some are not environmentally friendly. This study explores nanofiber technology as an alternative to such adhesives. Previous studies have shown that the three-dimensional binding effects of cellulose nanofiber (CNF), when mixed with wood flour, can significantly improve the physical and mechanical properties of wood flour board. In this study, ligno-cellulose nanofibers (LCNF) were fabricated by wet disk milling of wood flour. Composite boards of wood flour and LCNF were produced to investigate the binding effect(s) of LCNF. The fabrication of LCNF by disk milling was simple and effective, and its incorporation into wood flour board significantly enhanced the physical and mechanical properties of the board.Entities:
Keywords: ligno-cellulose nanofiber; pulverize; wood flour; wood-based materials
Year: 2014 PMID: 28788217 PMCID: PMC5456156 DOI: 10.3390/ma7096853
Source DB: PubMed Journal: Materials (Basel) ISSN: 1996-1944 Impact factor: 3.623
Pulverizing conditions and disk mill settings.
| Samples | Disk clearance (μm) | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1pass | 2pass | 3pass | 4pass | 5pass | 6pass | 7pass | 8pass | ||||||||
| W0 | - | - | - | - | - | - | - | - | |||||||
| W1 | 250 | - | - | - | - | - | - | - | |||||||
| W2 | 250 | ► | 250 | - | - | - | - | - | - | ||||||
| W3 | 250 | ► | 250 | ► | 200 | - | - | - | - | - | |||||
| W4 | 250 | ► | 250 | ► | 200 | ► | 200 | - | - | - | - | ||||
| W5 | 250 | ► | 250 | ► | 200 | ► | 200 | ► | 180 | - | - | - | |||
| W6 | 250 | ► | 250 | ► | 200 | ► | 200 | ► | 180 | ► | 180 | - | - | ||
| W7 | 250 | ► | 250 | ► | 200 | ► | 200 | ► | 180 | ► | 180 | ► | 160 | - | |
| W8 | 250 | ► | 250 | ► | 200 | ► | 200 | ► | 180 | ► | 180 | ► | 160 | ► | 160 |
Median wood flour particle sizes after disk mill pulverization.
| Median median particle size of LCNF after disk milling | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| W0 | W1 | W2 | W3 | W4 | W5 | W6 | W7 | W8 | |
| 126.9 | 79.3 | 54.0 | 19.7 | 15.2 | 12.0 | 12.0 | 11.1 | 10.5 | |
Figure 1Particle size distributions are shown for W0, W1, W4, and W8.
Figure 2SEM micrographs show the surface morphology of (a) untreated WF; (b) LCNF (W4); and (c) LCNF (W8). Representative nanostructured fibers were enclosed by dotted frame. The diameter of each nanostructured fibers are approximately (1) 66.4 nm, (2) 97.9 nm, and (3) 87.4 nm, respectively.
Board densities are given as a function of pulverization setting.
| Samples | Density (g/cm3) | Standard deviation |
|---|---|---|
| WF (control) | 0.97 | 0.02 |
| W4 | 0.96 | 0.02 |
| W6 | 0.97 | 0.01 |
| W8 | 0.97 | 0.03 |
WF: wood flour.
Figure 3The bending properties, (a) MOR and (b) MOE, are given for 85:15 wood flour:LCNF boards as a function of pulverization setting. The vertical bars indicate a single standard deviation. WF: wood flour.
Figure 4(a) Thickness swelling (TS) and (b) weight change (WC) of wood flour/LCNF composites are given following water absorption as a function of pulverization setting. The vertical bars indicate a single standard deviation. WF: wood flour.
Board densities are given as a function of lingo-cellulose nanofibers (LCNF) content.
| Samples | Density (g/cm3) | Standard Deviation |
|---|---|---|
| WF (control) | 0.97 | 0.02 |
| WF:LCNF = 95:5 | 0.97 | 0.03 |
| WF:LCNF = 90:10 | 0.99 | 0.02 |
| WF:LCNF = 85:15 | 0.97 | 0.03 |
WF: wood flour.
Figure 5The bending properties, (a) modulus of rupture (MOR) and (b) and modulus of elasticity (MOE) are given for W8 composites as a function of LCNF content. The vertical bars indicate a single standard deviation.
Figure 6(a) TS and (b) WC of wood flour/LCNF composites are given following water absorption as a function of LCNF content. The vertical bars indicate a single standard deviation.