Supercritical CO2 offers an alternative method of removing wood moisture and reducing cellular collapse compared to traditional drying techniques. The technique has been previously demonstrated for Pinus radiata and Eucalyptus nitens dewatering and was modified in this study for New Zealand red beech (Nothofagus fusca) heartwood, which is notoriously difficult to dry without causing excessive distortion. The technique was also successfully extended to drying below the fibre saturation point. A specific dewatering and drying schedule was developed for N. fusca because of negligible dewatering using a schedule previously designed for wood with an open hydrofluidic network of interconnected vessels. An anatomical assessment confirmed lumen pathways were occluded with tyloses and polyphenol resins. A fluid dynamics assessment concluded that permeability measurements are recommended together with tortuosity and porosity information for improved wood species dewatering characterisation. Using the dewatering and drying schedule, collapse was successfully reduced by 92% for both normalised internal wood area and void collapse when compared to oven-dried samples. The beech specimens took 18 days to reach 17.3% moisture content (MC) but displayed some checking from early dewatering depressurisation, compared to air-dried control specimens which showed no collapse or checking but took 6 months to reach 12% MC. Supercritical CO2 dewatering and drying could be combined with extractives separation, preservative treatment, and mechanical forming of wood in one plant to make a potentially economically viable process with improved energy, environmental and carbon footprints. A techno-economic analysis is suggested to fully compare supercritical drying of wood against conventional drying operations.
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Introduction
Supercritical CO2 dewatering followed by oven-drying has previously been shown to reduce collapse in Eucalyptus nitens ((H. Deane & Maiden) Maiden) wood by over 90% using a novel 4-h dewatering treatment schedule (Pearson et al. 2022). Testing the same technology on New Zealand’s indigenous red beech timber (Nothofagus fusca ((Hook. F.) Oerst.)) allows the process to be tested at the extreme. This is because N. fusca is notoriously difficult to dry without causing unwanted collapse and related distortion (Reid 1953; Clifton 1990), and is among the most refractory timbers to be dried in the world (Zhang 2000). Out of the five main New Zealand Nothofagus species, only hard beech (N. truncata ((Col.) Ckn.)) yields a similar level of distortion but takes less time to conventionally dry (Kininmonth 1964). Therefore N. fusca is an ideal proxy species for difficult-to-dry woods worldwide.
Nothofagus fusca has many appealing qualities such as texture, colour, durability, hardness and strength (Haslett and Kininmonth 1986; Clifton 1990; Smale et al. 2012). Once dried to a suitable equilibrium moisture content (MC) it has been reported as having exceptional dimensional stability, compared to all other New Zealand timber species, by being resistant to further fluctuations in atmospheric humidity (Orman and Harris 1964; Wardle 1984). Previous methods for drying N. fusca have focussed on singular operations, or combinations of: air-drying, kiln-drying, pre-drying, steam reconditioning, hot water soaking, dehumidification, and oscillatory or intermittent (stepwise) drying (Kininmonth 1971, 1972; Haslett and Kininmonth 1986; Clifton 1990; Langrish et al. 1992; Zhang 2000; Herritsch et al. 2010; Herritsch and Nijdam 2012). However, mild air-drying of 25 mm thick boards to 12% MC typically requires 10–12 months with collapse being prevalent and unable to be dressed out (Kininmonth 1964). Even kiln schedules designed for difficult-to-dry Eucalyptus species such as ironbark (E. indurata (Brooker & Hopper)) have been unsuccessful when applied to N. fusca, which reveals how difficult the species is to dry (Zhang 2000).
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The slow drying rate and collapse during drying of N. fusca may be due to the presence of extensive encrustations of polyphenolic extractives which occlude the cell lumina and pit membranes in heartwood (Hillis and Orman 1962; Hillis and Inoue 1967; Kininmonth 1971; Lloyd 1976; Haslett and Kininmonth 1986). Excessive collapse and distortion have also been attributed to the presence of tension wood which can be only partially recovered with steam reconditioning (Kininmonth 1964; Washusen and Ilic 2001; Chauhan and Walker 2011). N. fusca typically has narrow sized vessels and exhibits the greatest proportion of heartwood with the highest levels of heartwood extractives, at around 10% by weight, compared to the rest of the New Zealand beeches (Orman and Harris 1964; Purnell 1964).
Supercritical CO2 has previously been widely used for the separation of extractives (Williams et al. 2002; Kopcak and Mohamed 2005; Herrero et al. 2006; Bulushi et al. 2018), food drying (Brown et al. 2008; Khalloufi et al. 2010) and wood treatments (Kaye et al. 1999; Hay and Johns 2000; Stahl and Bentz 2004; Oberdorfer et al. 2006; Kjellow and Henriksen 2009; Matsunaga et al. 2010; Gething 2011; Fernandes et al. 2012; Gething et al. 2013; Gabitov et al. 2017; Aggarwal et al. 2019; Zhang et al. 2021). However, it also offers a unique method for minimising distortion in solid wood during dewatering (Jones and Walker 1999; Kaye et al. 1999; Blakemore and Northway 2009; Franich et al. 2014; Asafu-Adjaye et al. 2021; Zhang et al. 2021; Liu et al. 2022; Pearson et al. 2022) and drying compared to conventional timber drying methods. Conventional drying kilns typically require less capital expenditure but involve greater running costs because of the thermal energy and time required to evaporate moisture. Kilns also typically emit volatiles into the atmosphere as a by-product. By comparison, supercritical CO2 dewatering offers a faster and less energy intensive moisture removal system because it is a physicochemical process. Not only can CO2 be recycled, but all emissions can be captured as extractives. Moreover, dewatering could theoretically also be extended to drying below the fibre saturation point (FSP) by utilising the moisture absorption capability of CO2 (Sabirzyanov et al. 2002), which is a process that has not been previously reported for wood drying. The technology is capital intensive but could combine several unit operations such as dewatering, drying, extractives separation, preservative treatment and mechanical forming of wood in one plant to make a potentially economically viable process with an improved environmental footprint (Pearson et al. 2022).
The objectives of this study were firstly to test the robustness of supercritical CO2 dewatering of N. fusca by characterising its wood anatomy and hydrofluidic characteristics. Secondly, the dewatering efficacy of N. fusca was compared with previously developed schedules for Pinus radiata (D. Don) and E. nitens using a suitable dewatering and drying schedule for beech based upon the dewatering and anatomy results. Finally, by comparing relative collapse between treatments, the feasibility of reducing collapse in N. fusca using supercritical CO2 was assessed.
Materials and methods
Specimen preparation
Nothofagus fusca was sourced from a natural stand at Maruia (lat. 42°11.3’S, long. 172°13.6’E) in the West Coast region of the South Island of New Zealand. Six trees were randomly selected, sawn at a height of 1800 mm above the ground, and helicopter logged to the nearby Forever Beech Ltd sawmill at Reefton. Six clear-wood boards, each measuring 80 mm × 30 mm (rad-tan face) × 1500 mm (long direction) were immediately removed from the outer layer of heartwood of the base of each log before being end sealed with wax, wrapped in plastic, and transported under refrigerated conditions to Scion, Rotorua, New Zealand. Eight specimens measuring 25 mm × 25 mm (rad-tan face) × 200 mm (long direction) were removed from one randomly selected board from each log and labelled as shown in Fig. 1. One test specimen measuring 70 mm × 30 mm (rad-tan face) × 50 mm (long direction) was also cross-cut from the middle of each selected board for microscopy assessment. All 48, 25 mm square by 200 mm long specimens were then randomised for treatments. Each specimen was wrapped in plastic and refrigerated at 4 °C before being dimensionally measured and weighed prior to treatment. Eighteen specimens (3 per tree) were used in the three dewatering treatments, 6 specimens (1 per tree) were oven-dried, 6 specimens (1 per tree) were air-dried, and 6 specimens (1 per tree) used to estimate free-shrinkage. This left 2 back-up specimens per tree which were not required for the study. Depending on the timing of treatments, green MC and basic density was measured for each specimen using the water displacement method (ASTM 2014c) and specimens were oven-dried at 103 °C for density, MC and collapse measurements (ASTM 2014b).
Fig. 1
Beech specimen preparation scheme where dimensions are in mm. The ‘a’ and ‘e’ specimens relate to wood removed from the base end of each log
×
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Wood anatomy assessment
Cell dimensions including vessel and fibre lumen area and diameter, and cell wall thickness, were measured by image analysis of transverse sections using Digital Optics V + + . Wood sections from each of the 6 microscopy specimens were stained in aqueous safranin for 10 min and washed in water followed by air-drying under restraint by clamping sections between 2 microscope slides to prevent curling. Dry sections were transferred to xylene and mounted in EUKITT before imaging. Samples were also screened for the presence of gelatinous fibres and tyloses in vessels. Images to illustrate wood anatomy were acquired using confocal fluorescence microscopy of wood autofluorescence from lignin and extractives. Excitation was 488 nm and emission was 500–550 nm and images were rendered as maximum intensity projections or as single optical slices.
Supercritical CO2 dewatering apparatus
Supercritical CO2 dewatering relates to a method to reduce lumen water, also known generally as ‘free-water’ (Thybring and Fredriksson 2023), from wood cells. The method utilises the physicochemical behaviour of CO2 when dissolved CO2 creates gaseous back-pressure to force lumen moisture from the open hydrofluidic network of wood xylem upon pressure release (Dawson et al. 2015). Supercritical CO2 beech dewatering was performed in a previously developed 0.5 L treatment plant (Fig. 2) that was designed to operate at pressures from atmospheric to 30 MPa and temperatures up to 90 °C (Dawson et al. 2015; Pearson et al. 2019b). The plant was calibrated and able to control pressure and temperature setpoints to similar values to those reported earlier (Pearson et al. 2019a). Dewatering involved treating beech with one of three treatment schedules by manipulating pressure as a function of time as shown in Fig. 3. Each schedule generally involved increasing the main CO2 treatment chamber pressure from atmospheric to a maximum pressure (P) and holding for a period of time (t) at a constant temperature (T) before being linearly released with respect to a pressure-release-time (Rt) and holding at atmospheric pressure for a final hold time (fht), if required, depending on the treatment regime. Linear pressure venting over time was performed manually using control valves and the liquid CO2 pump where required. The plant was designed to treat one wood specimen at a time and any released sap could be collected from the bottom of the treatment chamber whenever atmospheric pressure was reached.
Fig. 2
Schematic of supercritical CO2 dewatering plant
Fig. 3
Graphical representation of dewatering/drying schedules used for beech experimentation showing pressure manipulation as a function of time. a ‘radiata’ dewatering schedule, b ‘nitens’ dewatering schedule, c ‘beech’ dewatering and drying schedule
×
×
The plant design was extended for part of this study to include CO2 gas drying capability to remove bound, or cell-wall water, after the dewatering of free-water. Drying involved venting liquid CO2 from the treatment chamber whilst maintaining 20 MPa pressure in the treatment cylinder and was similar to a previously reported design by Brown et al. (2008). The CO2 regulator outlet pressure and vent rate were controlled at 0.15 MPa and 2 L/min, respectively, by means of a 0–2 bar outlet pressure Swagelok KPR regulator and 0–5 L/min Dwyer airflow rotameter which was calibrated for CO2. A void-space blank was used in the treatment chamber during drying to maximise water uptake and enhance supercritical CO2 flow through each specimen cross-section at approximately 9 mm min−1.
Specimen weights and dimensions were recorded (if applicable) before dewatering (green state), after dewatering, after each CO2 gas drying cycle, and after oven-drying to give initial, dewatered, and CO2 gas dried MCs.
Dewatering experimental factorial procedure
Experimental supercritical beech dewatering, and drying, was performed on N. fusca using three schedules (Table 1), with six replicates per treatment. The first two dewatering schedules (labelled ‘radiata’ and ‘nitens’ respectively) were previously optimised for dewatering the free-water from P. radiata sapwood (Pearson et al. 2019a), and E. nitens heartwood (Pearson et al. 2022). The third schedule (labelled ‘beech’) was developed based upon anatomical results and fluid dynamics dewatering predictions in this study for dewatering free-water followed by drying bound-water from N. fusca heartwood.
Table 1
Dewatering and drying factorial design and control variable levels for beech experiments
Variable
No. control variable levels (values)
‘radiata’ schedule
‘nitens’ schedule
‘beech’ schedule
Maximum pressure P (MPa)
1 (20)
1 (20)
1 (20)
Temperature T (°C)
1 (50)
1 (50)
1 (50)
Pressure hold time t (min)*
1
(2)
2
(2 [cycles 1–10],
60 [cycles 11–15])
2
(720 [cycles 1–11],
5040 [cycles 12–13])
Pressure release time (Rt) (min)
1
(5)
2
(5 [cycles 1–10],
15.5 [cycles 11–15])
2
(720 [cycles 1–11],
360 [cycles 12–13])**
Final hold time (fht) (min)
NA
2
(0 [cycles 1–10],
4.5 [cycles 11–15])
NA
Maximum No. pressure cycles***
15
15
13
No. replicates
6
6
6
Total No. experiments
6
6
6
NA not applicable; No. number; *Also previously called the Initial Pressure Hold Time ti for the radiata schedule (Pearson et al. 2022); **drying plant-configuration employed; ***refer to schedule charts Fig. 3
The ‘radiata’ schedule involved cycling the supercritical CO2 pressure (P) between atmospheric and 20 MPa for a total of 15 pressure cycles as shown in Fig. 3a. The ‘nitens’ schedule involved repeating the radiata schedule but the pressure hold time (t) and pressure release time (Rt) were both increased, and a fht was introduced for the last 5 pressure cycles (Fig. 3b). The ‘beech’ schedule was initially similar to the ‘radiata’ and ‘nitens’ schedules but again with increased pressure hold (t) and Rt, and the exclusion of any fht for the first 11 pressure cycles. The t and Rt values were then increased for the last two pressure cycles 12 and 13 when the moisture removal mechanism was switched from free-water dewatering to bound-water drying for the pressure hold period (Fig. 3c).
The weight and dimensions of all dewatered specimens were recorded immediately after randomised treatment and after oven-drying before being coated in paraffin wax for collapse distortion assessment.
Regression modelling of experimental dewatering data
For the supercritical dewatering and drying results each measurement of MC was scaled to range between zero (fully dewatered), and unity (green) using Eq. 1. The minimum MC for N. fusca was assumed to be equal to the experimental limit previously obtained for P. radiata (Pearson et al. 2019a), where a MCmin of 40.1% represented the mean minimum possible dewatered MC including bound-water.
where MCscijk = scaled MC for specimen i after j pressure cycles for schedule k; MCijk = MC of specimen i after j pressure cycles for schedule k (%); MCij0 = initial (green) MC of specimen i for schedule k (%); MCmin = the minimum MC (%).
The mean scaled moisture content (MCsc) was calculated for each cycle for each of the three dewatering schedules:
where n is the number of specimens per schedule (n = 6 for all schedules).
Ninety-five percent confidence intervals were calculated for each mean under the assumption of normality:
$$\overline{{{\text{MCsc}}_{jk} }} \pm t \times {\text{SD}}_{jk} /\sqrt n$$
(3)
where SD is the standard deviation for schedule k at cycle j and t is a t-value with n − 1 degrees of freedom (t = 2.571).
A comparison of N. fusca dewatering behaviour was made with P. radiata and E. nitens using the universal dewatering model developed originally for P. radiata (Pearson et al. 2019a) and refitted for E. nitens (Pearson et al. 2022).The previously developed P. radiata and E. nitens models include terms for a number of experimental factors (maximum pressure P, temperature T, initial pressure hold time ti, and pressure release time Rt) but for the N. fusca experiments, these experimental factors were all set to constant values of P = 20 MPa, T = 50 °C, t = ti = 2 min, Rt = 5 min. A reduced version of the model was therefore fitted which excluded terms for these experimental factors to compare N. fusca, E. nitens and P. radiata free-water dewatering from the open hydrofluidic cellular network using the radiata schedule. The model (Eq. 4) is based on the Chapman-Richards (CR) growth curve (Chapman 1961) and includes a slope parameter a, and a shape parameter b. Parameter estimates were obtained by fitting the equation as a nonlinear mixed model using the R nlme procedure.
where Ri are random effects for each specimen assumed to be independently and identically distributed (iid) normal variables with zero mean; eij are error terms assumed to be iid normal with zero mean; a and b are fitted model coefficients; j = pressure cycle number (0 ≤ j ≤ 10).
Fundamental CFD modelling of the dewatering process
Free-water dewatering from the open hydrofluidic lumen network was assessed by means of a previously developed two-dimensional (2D) Ansys Fluent computational fluid dynamics (CFD) dewatering model (Pearson et al. 2019a, 2022). The CFD model was based upon the fundamental phenomenon of pressurised CO2 gas diffusion into an open wood cell lumen, as represented by a sap-filled capillary tube with diameter equivalent to the mean pore size, followed by depressurisation to cause liquid displacement due to gas bubble back-pressure. The theoretical amount of free-water associated with the open hydrofluidic network within the wood was estimated from wood anatomy, MC and mean basic density (Siau 1995; Rijsdijk and Laming 2006). Differences between theoretical and experimental dewatering when represented by an effective CO2 diffusion coefficient (Deff) allowed a lumped-parameter combined estimate of wood porosity and tortuosity for dewatering characterisation compared to other species (Shen and Chen 2007; Cussler 2014).
Air-drying
One randomly selected specimen from each of the six trees was air-dried from green in a temperature and humidity controlled conditioning environment designed to achieve 12% equilibrium MC (Hailwood and Horrobin 1946). During air-drying, temperature was controlled to 20 ± 0.17 °C, humidity to 65 ± 0.34% (± 95% C.I. root-mean-squared-error) and the mean airflow across the specimen was measured with a Kestrel 4200 air-flow meter supplied by Nielsen-Kellerman USA, was 3.60 cm/s (SD 0.04 cm/s). Drying was performed until the third mean direction of mass change (ASTM 2014a). MC was calculated through pre- and post-conditioning weights and after oven-drying of the air-dried specimens.
Free-shrinkage
Six randomly selected beech specimens were selected from each tree for solvent drying to obtain free-shrinkage. Each specimen was weighed after volume measurement and immersed in 96% (w/w) ethanol. All specimens were held at 21 °C for 7 days before the ethanol solution was replaced. After 25 solution replacements, the specimens were stored in a vacuum chamber with silica gel desiccant at 0.05 MPa and 21 °C before being weighed daily until the maximum percentage change in weight for any specimen was less than 0.25%. After alcohol drying the specimens were re-weighed for MC calculation.
Collapse assessment
Collapse was assessed from changes in the external volume, cross-sectional area, and cross-sectional perimeter. Normalised collapse ratios were calculated for all treated specimens by dividing all measurements by pre-treatment green dimensions. As with the previous study (Pearson et al. 2022), external volumetric specimen collapse was calculated by means of water volume displacement at 21 °C. After volumetric measurement each specimen was cross-cut into two specimens measuring 25 mm (rad) × 25 mm (tan) × 100 mm (long), and an image taken of one freshly cut face at a resolution of 400 dpi (Fig. 4a). Collapse mask-image analysis was performed using Digital Optics V++ software to a resolution of 40 µm. From the images, the total cross-sectional area excluding any collapse voids (Fig. 4b), and total external perimeter length (Fig. 4c) were measured. The total cross-section void collapse area and remaining wood area per specimen cross-section were then calculated by difference from Fig. 4b and d.
Fig. 4
Representative images for free-shrinkage and collapse measurement. a Original cross-section image, of width (W) and breadth (B), showing areas of wood (Wd) compared to void areas (Vd). b Mask area excluding voids. c Perimeter (P) length. d Void area and wood area mask. Scale: B = W ≈ 25 mm
×
Collapse measurements were compared, where applicable, to initial green wood length (L), width (W) and breadth (B) dimensions for each specimen (Eqs. 5–8) Tests of differences in beech collapse distortion between treatments were performed using ANOVA (Analysis of variance) and Tukey’s test using the aov and TukeyHSD procedures in R. The treatments compared beech distortion after oven-drying, air-drying, and treatments with the radiata, nitens and beech schedules. Collapse measurement variables were isolated by subtracting free-shrinkage that was obtained from the ethanol-dried specimens because free-shrinkage is unavoidable when bound-water is removed from wood cell walls (Bodig and Jayne 1982). Relationships between collapse distortion and MC were determined using logistic regressions with quasibinomial distribution fitted using the R glm procedure.
where V = volume [unit = L3]; A = area [L2]; P = perimeter [L]; L = longitudinal specimen length [L]; B = specimen breadth [L]; W = specimen width [L]; OD = oven-dried; Subscripts: EtOH = ethanol-dried; G = green specimen; Wd = wood; Vd = void; i = ith ethanol-dried specimen; j = jth treatment specimen; N = total number of ethanol-dried specimen replicates
Results and discussion
Wood quality and anatomy
The mean basic density and green MC for all 36 beech specimens was 492.0 kg/m3 (SD 24.6 kg/m3) with a range of 403.1–555.9 kg/m3, and 127.4% (SD 9.7%) with a range of 86.3–162.1 kg/m3, respectively. The mean percentage saturation (Ross 2010) was calculated using a mean wood cell wall density of 1.54 g/cm3 (Siau 1995; Rijsdijk and Laming 2006) and equalled 91.3% (SD 4.6%) with a range of 73.0–99.8%. Significant differences were observed for basic density, green MC and saturation with respect to tree number but not specimen position in tree (Table 2). Basic density and green MC values were comparable with previously reported ranges of 440–590 kg/m3 (Entrican et al. 1951; Reid 1953; Orman and Harris 1964; Conway 1974; Wardle 1984) and 109–117% (Kininmonth 1964), although N. fusca from the Reefton area (including Maruia) was known to be typically less dense than the national average (Reid 1953; Orman and Harris 1964). The mean saturation was higher than the national mean of 75% reported by Conway (1974).
Table 2
Mean basic density, green MC and saturation for all N. fusca specimens
Tree no.
Basic density (kg/m3)
Green MC (%)
Saturation (%)
1
497.46 ab
118.31 b
86.81 bc
2
463.61 b
140.72 a
92.44 ab
3
473.20 b
143.57 a
98.06 a
4
521.77 a
101.17 c
79.73 c
5
519.99 a
117.22 bc
91.92 ab
6
476.04 b
143.57 a
98.89 a
Overall mean (pooled SD)
492.01
(24.58)
127.43
(9.70)
91.31
(4.59)
Values in each column followed by the same letter do not differ significantly (Tukey’s test, α = 0.05)
Nothofagus fusca has small vessels averaging 64.9 µm (SD 8.8 µm) in diameter and occupying 22–34% (mean 28.0% (SD 0.1%)) of the wood volume. Fibres have a mean lumen diameter of 10.9 µm (SD 0.9 µm) and a mean wall thickness of 4.2 µm (SD 0.5 µm). Variation in cell dimensions among the 6 microscopy specimens is shown in Table 3. Figure 5 shows the general wood anatomy of N. fusca with vessels solitary or in small radial groups. Fibres are thick-walled and axial parenchyma is very rare adjacent to growth rings or absent. Tyloses and gelatinous fibres are common. Pits between fibres are sparse and occluded with extractives. No pits between fibres and vessels were observed. Intervascular and vessel to ray pits are large and oppositely arranged (Fig. 5).
Table 3
Anatomical dimensions for 6 specimens of N. fusca
log source No.
1
2
3
4
5
6
Vessels
Area
26.3 ab
33.9 a
31.7 a
22.0 b
25.6 ab
28.8 ab
%
Mean Area
2052
2399
2250
2022
1743
1823
μm2
Mean Diameter
68.2 a
66.3 a
64.7 a
67.7 a
58.1 a
64.3 a
μm
Fibres
Area
15.8 a
8.5 b
17.5 a
17.7 a
15.0 a
18.8 a
%
Mean Area
60
68
78
61
65
70
μm2
Mean Diameter
9.9 b
13.1 ab
11.0 b
9.6 b
10.8 b
11.0 b
μm
Wall thickness
Mean
3.9 b
6.0 a
3.5 b
4.0 b
4.3 b
3.5 b
μm
Tension wood
✓
✓
✗
✗
✓
✓
Tyloses
✓
✓✓
✗
✗
✗
✓
Values are average of 5 replicate measurements (5 fields of view). Values in each row followed by the same letter do not differ significantly (Tukey’s test, α = 0.05)
Fig. 5
a Red beech confocal autofluorescence of transverse view, excitation 488 nm, emission 500–550 nm, average projection. F = fibre, V = vessel, T = tylosis. Scale bar = 60 µm. b Fibre pits, single optical slice. Arrowheads show the fibre pits occluded with extractives. Scale bar = 10 µm. c Intervascular pits (IVP, arrows), scale bar = 30 µm. d Perforation plate (P, arrow), scale bar = 30 µm. Range of scale is fibre pit 350 nm, IVP 10 µm, perforation plate 65 µm
×
Regression modelling
Mean scaled MC (MCsc) and MC of beech at each cycle for each of the three treatment schedules is shown in Fig. 6. Beech treated with the radiata schedule achieved a mean MCsc of 0.92 ± 0.07 (95% CI) after 10 pressure cycles, and 0.88 ± 0.11 after 15 cycles when MCsc reduced by only 0.0078 ± 0.0073 per cycle. Switching to the nitens schedule after cycle 10 resulted in a more significant MCsc reduction of 0.62 ± 0.17 by cycle 15. Over cycles 11–15 of this schedule, MCsc decreased by 0.31 ± 0.15 or 0.062 ± 0.030 per cycle, an eightfold improvement compared with the radiata schedule. The beech schedule achieved a mean MCsc of 0.11 ± 0.04 after 10 cycles, with the MC reducing below the minimum achievable via dewatering of 40.1% (i.e. when MCsc = 0) by cycle 12. The mean MCsc, after a mechanism switch from dewatering to drying, at cycle 13 was − 0.24 ± 0.06 indicating that the MC was well below the fibre saturation point after 13 cycles.
Fig. 6
Mean experimental scaled MC (MCsc) as a function of pressure cycle number for N. fusca using ‘radiata’ (Pearson et al. 2019a), ‘nitens’ (Pearson et al. 2022) and ‘beech’ dewatering and drying schedules, respectively. The dotted lines denote 95% confidence intervals. *Calculated using mean green MC calculated from beech schedule treated specimens
×
The coefficients of the dewatering model (Eq. 4) fitted to N. fusca data treated with the radiata schedule are shown in Table 4 along with the coefficients for the same model fitted for P. radiata and E. nitens for the same schedule. The models are compared in Fig. 7. The coefficient of determination (R2) for the N. fusca CR model was 32.3% compared to previously reported R2 values of 59.0% for E. nitens and 84.3% for P. radiata (Pearson et al. 2019a, 2022). The relatively lower R2 for the beech model relates to the fact that variation is unable to be explained for near-zero dewatering. Results show that the radiata schedule was most rapid for P. radiata with MCsc being reduced to approximately zero after 10 cycles. The radiata schedule achieved an intermediate result for E. nitens with MCsc reduced to 0.70 by 10 cycles. However, dewatering under the radiata schedule was slowest for N. fusca with a reduction in MCsc to only 0.93 after 10 cycles. Dewatering was much more rapid for N. fusca under the nitens schedule which provided a reduction in scaled MC of 0.265 units over cycles 11 to 15 compared with the radiata schedule which is identical to the nitens schedule up to cycle 10. This was almost identical to the reduction of 0.257 over cycles 11 to 15 for E. nitens achieved using the nitens schedule. However, because the initial 10 cycles (radiata schedule) resulted in only a minor reduction in MCsc for N. fusca, the scaled MC under the nitens schedule was much higher for N. fusca compared with E. nitens.
Table 4
Parameter estimates with standard errors for nonlinear mixed models describing N.fusca, E. nitens and P. radiata dewatering using the radiata treatment schedule (Eq. 4)
Parameter
P. radiata
E. nitens
N. fusca
Estimate
SE
Estimate
SE
Estimate
SE
a
0.0175
0.0045
0.550
0.039
0.048
0.004
b
1.463
0.033
1.800
0.170
0.781
0.020
Fig. 7
Scaled MC described by the CR model as a function of pressure cycle number for N. fusca, compared to previously reported E. nitens (Pearson et al. 2022) and P. radiata (Pearson et al. 2019a) treated with the radiata schedule
×
CFD modelling
The mean theoretical amount of free-water contained in the open hydrofluidic (vessel) network of N. fusca was calculated to be 56% (dry basis MC). After scaling for vessel moisture dewatering and comparing with the open hydrofluidic CFD capillary model (Pearson et al. 2019a), the dewatered amount of this moisture theoretically reduced by a factor of only 0.02 after 6 pressure cycles (Fig. 7). This meant that the vessels in N. fusca heartwood did not exist as an open network (Hass et al. 2010) compared to P. radiata sapwood tracheids, or E. nitens heartwood vessels, both of which were estimated to have fully dewatered hydrofluidic networks after approximately 6 pressure cycles using the radiata schedule. Therefore the vessel network of N. fusca heartwood had negligible permeability, and calculation of tortuosity as a lumped-parameter based on the effective CO2 diffusion coefficient (Pearson et al. 2022) was not valid. The modelling and anatomy results confirmed that the vessel network of N. fusca heartwood was occluded with tyloses and polyphenol resins even if the network may have been more permeable as sapwood when its specific function was to transport moisture. Based on the CFD modelling and the reported relative ease of drying, P. radiata sapwood and N. fusca heartwood represent extreme behaviour with P. radiata being easy to dewater and dry without distortion, and N. fusca being difficult.
Dewatering characterisation for different species
The theoretical extremes for dewatering and drying based on wood anatomy and fundamental CFD modelling provide a useful tool for species characterisation. However, the open hydrofluidic network dewatering behaviour of N. fusca yielded conflicting results when comparing theoretical predictions against experimental data and anatomical measurements.
Direct experimental permeability measurements based on Darcy’s law may offer a further characterisation variable for prediction of dewatering efficacy (Stamm 1963; Bramhall 1971; Bolton 1988; Hansmann et al. 2002). Expansion of Darcy’s law to the Kozeny–Carmen equation also provides the opportunity of incorporating tortuosity and porosity with permeability (Prak 1970; Koponen et al. 1997) and constriction (Berg 2014). However, wood-water relations are complex, and characterisation may require the use of additional variables and assumptions to adequately describe both static and dynamic behaviour. For example, Darcy’s law requires laminar flow. Many dimensionless numbers, such as the Bond, Péclet or Reynolds number, require continuous moisture columns which is in contrast with columns that have interspersed gas voids such as Taylor bubbles that occur in the dewatering process (Taylor 1961; Salman et al. 2006).
Dewatering and drying characterisation of the closed-hydrofluidic network of fibres (including occluded vessels) for different hardwood species is also complex and requires both CO2 and moisture transfer to occur through the cell walls. Wood is highly permeable to supercritical CO2 (Oberdorfer et al. 2006; Pearson et al. 2022) but moisture transfer across the cell wall requires slower pressure release to avoid rupture (Schneider et al. 2003; Gething et al. 2013). Hence collapse in N. fusca was reduced with the beech schedule by means of an increase in depressurisation times (Fig. 3c). An understanding of cell wall porosity (Tremblay et al. 1996; Washusen and Ilic 2001; Chauhan and Walker 2011; Donaldson et al. 2015, 2018) and the relationship between cell wall porosity, tension wood and the fibre saturation point (Hill and Papadopoulos 2001; Almeida and Hernandez 2007; Telkki et al. 2013) may also lead to improved species characterisation and increased accuracy of predictive CFD modelling of the dewatering and drying process.
Collapse
Collapse distortion of N. fusca was found to progressively reduce when treated with the oven-drying, radiata, nitens, beech and air-drying schedules, respectively. The mean volumetric free-shrinkage for the six alcohol-dried specimens was 11.2% (SD 2.2%), with mean central cross-sectional area shrinkage of 11.7% (SD 2.3%) and mean cross-sectional perimeter shrinkage of 6.0% (SD 1.2%). Collapse after oven-drying generally reduced with decreasing initial dewatered MC (Fig. 8). Similar results were found for E. nitens, although for a given MC, collapse was higher for N. fusca than E. nitens. For example, to ensure the mean external volume collapse ratio remains above 0.95, the MC must be less than 67% for N. fusca and 82% for E. nitens. To achieve the same result for the wood area collapse ratio, the MC must be less than 41% for N. fusca and 80% for E. nitens. Finally, the internal void area ratio is much higher for N. fusca than E. nitens at a comparable MC. To ensure the mean void ratio is less than 0.02, the MC must be less than 21% for N. fusca and less than 110% for E. nitens. Treatment means of collapse distortion ratio variables after compensation for free-shrinkage are shown in Table 5.
Fig. 8
External volume (a), cross-sectional wood area (b) and cross-sectional void area (c) normalised collapse ratios, compared to pure shrinkage specimen dimensions after oven-drying, as a function of MC prior to oven-drying for all dewatered, oven-dried and air-dried specimens. Solid line shows logistic regression with dashed lines indicating 95% C.I. of the regression curve
Table 5
Nothofagus fusca mean moisture content prior to oven-drying, and mean collapse ratios for external volume, cross-sectional wood area and cross-sectional void area by treatment
N. fusca treatment
MC (%)
Volume ratio
Area ratio
Void area ratio
Oven-dried
125.7 a
0.892 a
0.701 a
0.159 a
Radiata schedule
120.7 a
0.896 a
0.745 a
0.143 a
Nitens schedule
97.1 b
0.942 b
0.836 b
0.113 a
Beech schedule
17.3 c
0.990 c
0.972 c
0.023 b
Air-dried
13.0 c
0.962 bc
0.983 c
0.000 b
Values in each column followed by the same letter do not differ significantly (Tukey’s test, α = 0.05)
×
The mean external volume of N. fusca after treatment with the beech schedule was reduced by 12.0% due to collapse after oven-drying from a green MC of 137.6%, but the volume reduction was only 3.8% after oven-drying from a final mean dewatered MC of 47.0% (Fig. 8a). The volume reduction was further reduced to 2.6% after oven-drying from a final mean dewatered and dried MC of 17.3%. Similarly, the cross-sectional wood area reduced by 33.6, 5.3% and 2.8% when oven-dried from the same MCs of 137.6, 47.0 and 17.3%, respectively. Internal collapse measured by means of the cross-sectional void area ratio also decreased after oven-drying from a green MC of 137.6–18.2% compared to 2.8% when oven-dried from 47.0% MC and 1.7% when oven-dried from 17.3% MC. This meant that a reduction in the dewatered and dried MC of N. fusca from green to 17.3% eliminated 77% of oven-dried external volumetric shrinkage and reduced approximately 92% of both internal wood area and internal void collapse (Fig. 8a, b). This compares to collapse reduction in E. nitens (Pearson et al. 2022) where the greatest gain (90% reduction) occurred for the external volumetric and internal wood area compared to the internal void area, and shows that N. fusca has a different collapse mechanism to E. nitens.
Narrow and radially oriented checks were observed in all N. fusca specimens that were treated with the beech dewatering and drying schedule (Fig. 3c). Cross-grain anisotropic checking is another form of distortion that occurs when bulk wood is stressed in tension perpendicular to the longitudinal axis. Compared to collapse, which is primarily caused by water tension forces, checking usually occurs in the radial grain direction due to the larger shrinkage coefficient of wood in the tangential direction, and the orientation of rays which are a structural point of weakness (Kauman 1964a, b; Chafe et al. 1992). Checks can be difficult to separate from collapse, splits and rakes, and are usually assessed by length alone (AS 2000). Checks typically have a negligible cross-sectional void area but they are important because they signify cellular fracture and a corresponding loss of mechanical strength (Bodig and Jayne 1982). Checking can be minimised by optimising the pathway for drying wood to relieve unwanted stresses. However, the stress and strains that cause checking are complex and difficult to measure (Ferrari et al. 2010; Pearson et al. 2015). Collapse, shrinking and checking may occur simultaneously (Dawson and Pearson 2017).
The mean normalised cross-sectional void area of checks for specimens treated with the beech schedule was 0.02 (SD 0.01) (Fig. 9). This low value confirmed that the distortion was more related to checking than other forms of distortion such as collapse. The checks were not quantified further (AS 2000) but previous results confirmed that out of 22 different species, N. fusca exhibited the greatest amount of checking after dewatering followed by oven-drying (Dawson and Pearson 2017). A supplementary test revealed that minor checking occurred midway through the pressure release procedure (Rt) (Fig. 3c) for earlier cycle numbers up to about cycle 3, when specimen moisture was at its highest. A plot of CO2 density as function of pressure release time for the constant (linear) pressure release rate is shown in Fig. 10 and reveals that the greatest CO2 density change occurred in the middle of the pressure release procedure. Therefore, it was likely that the checking was a form of cell rupture from excessive localised pressure and/or density differences which were exacerbated during later oven-drying. The issue may be ameliorated by further slowing the pressure release rate for earlier pressure cycles or switching to linear density-based depressurisation in the middle of the depressurisation procedure, to reduce elevated pressure or density change differentials (Fig. 10).
Fig. 9
Middle cross-sections of 25 mm × 25 mm green log-matched red beech specimens after treatment schedules A–F followed by oven-drying. Where treatment schedules A = straight oven-dried control, B = ‘radiata’ dewatering schedule, C = ‘nitens’ dewatering schedule, D = ‘beech’ dewatering and drying schedule, E = air-dried, F = ethanol-dried. Scale: The internal dimensions of each grid square represents a 25 mm × 25 mm section
Fig. 10
CO2 density profile for a linear pressure release from 20 to 0.1 MPa compared to the CO2 pressure profile for a linear density release from 784.39 to 1.64 kg/m3, for a pressure release time (Rt) of 720 min
×
×
Air-drying produced the least collapse but took 6 months for moisture conditioning to complete compared to 18 days (11 days for dewatering and 7 days for drying) for specimens treated with the beech schedule. However, the pressure hold times for cycles 1–11 of the beech schedule were extended to 12 h primarily to reduce the reliance on manual labour during night-time plant operation. Therefore, the overall beech schedule time could be significantly reduced.
Supercritical drying below the fibre saturation point (FSP)
Nothofagus fusca was successfully dried to a minimum mean MC of 17.3% (SD 2.4%) (range 14.5–20.3%) using the water absorption properties of supercritical CO2. This was well below the FSP estimate of 29% (Forest Products Laboratory 2010) calculated using the Hailwood and Horrobin (1946) model (Thybring and Fredriksson 2023). The mutual absorptions of CO2 and water are non-ideal in behaviour (King et al. 1992), and the amount of moisture that can be absorbed by CO2 at 20 MPa and 50 °C is relatively small at approximately 4 mg/g (Sabirzyanov et al. 2002). Therefore, a sufficient time per pressure cycle of 5040 min was required for adequate drying to occur in cycles 12 and 13 of the beech schedule.
It is not known if the checks associated with the beech schedule specimens would have still been present if they were eliminated from the early dewatering cycles. This is because wood distortion during shrinkage below the FSP can be associated with pre-existing fracture points, but CO2 is known to create wood softening which may adjust manifest strains such as creep and mechanosorption to reduce distortion (Pearson et al. 2015). Further study on the relationship between CO2 drying and check formation in N. fusca is recommended, including the use of co-solvents to increase the drying rate.
Conclusion
Collapse of N. fusca heartwood can be significantly reduced when dewatered and dried using supercritical CO2 with a specifically designed schedule. Results have shown that when compared to oven-drying, collapse can be reduced by 92% for both normalised internal wood area and internal void area collapse, and 77% for normalised external volumetric shrinkage collapse.
Anatomical measurements confirmed that the heartwood of N. fusca generally contains tension wood and is occluded with tyloses and polyphenol resins. This means that N. fusca does not dewater easily because its open hydrofluidic network is compromised and moisture expelled by means of supercritical CO2 needs to pass through restricted hydrofluidic pathways and cell walls. This behaviour was confirmed by treating N. fusca with dewatering schedules that were previously optimised for P. radiata and E. nitens, and by using a previously developed CFD model to predict dewatering only from the open hydrofluidic cellular network. Based on these results a dewatering schedule was developed specifically for beech using greater CO2 and moisture diffusion time. The schedule was extended to incorporate drying and resulted in a reduction in MC of N. fusca to well below the FSP.
The beech specimens took 18 days to reach 17.3% MC, using the dewatering and drying schedule, but displayed some checking from depressurisation during initial dewatering pressure cycling. In contrast, air-dried control specimens showed no collapse or checking but took 6 months to reach 12% MC.
The supercritical CO2 dewatering and drying process has been successfully demonstrated on N. fusca, which is a species at the extreme end of those that are difficult to dry without causing unwanted distortion. Supercritical CO2 dewatering and drying could include co-solvents and be combined with extractives separation, preservative treatment, and mechanical forming of wood in one plant to make a potentially economically viable process with an improved energy, environmental and carbon footprint. The removal of extractives during dewatering and drying using co-solvents may also improve permeability in N. fusca and therefore reduce overall treatment time. The supercritical process has an estimated higher capital cost but doesn’t require energy for moisture evaporation and captures all volatiles compared to conventional kiln-drying. A techno-economic analysis is suggested to compare supercritical dewatering unit operation scenarios along with further studies to test for the effect of specimen size and ways to eliminate checking.
Acknowledgements
The authors would like to acknowledge Jon Dronfield of Forever Beech Ltd for supplying the N. fusca and offering valuable feedback for all aspects of this study. The authors also thank Gregor McDonald, Ramona Radford and Jonathan Kilgour for assistance and support at Scion. The authors are grateful to Alankar Vaidya and Bing Song for reviewing the paper. The New Zealand Ministry of Business, Innovation and Employment provided funding for this study via the Strategic Science Investment Fund (contract No. C04X1703).
Declarations
Conflict of interest
The authors declare that they have no conflict of interest.
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