1. Introduction
Wood resources in the form of timber are increasingly sought in all social and economic fields, due to the fact that they are natural materials and can be processed and transformed into various shapes and sizes. Native wood materials have a major disadvantage: they absorb moisture from the surrounding environment, which can have severe consequences on their dimensions, deformability, and dimensional stability [
1,
2,
3]. This can lead to the emergence of various defects and even intense degradation due to fungal and xylophagous insect attacks [
4,
5]. That is why the problem of protecting wood from atmospheric moisture, or inhibition of direct water absorption or moisture from the atmosphere, has emerged in recent years, with the ultimate goal of increasing the dimensional stability and durability of wood over time. Typically, dimensional stability is quantifiable through water absorption and thickness swelling tests, and the durability through biological attack and fungicide tests [
4,
6,
7,
8].
There are several procedures for protecting wood against moisture, among which it can mention: protection on surface or in depth with chemicals, acetylation of wood, and thermal treatment of wood. Wood thermal treatment can be done with thermal oil (OHT-oil Heat Treatment in Germany), with high frequency or high voltage currents, with hot or boiled water (Plato Wood in the Netherlands, Huber Holz in Austria, and Bois Perdure and Rectification in France), and with moist saturated water vapour (Thermo-wood in Finland, and WTT in Denmark [
9,
10,
11]. Dry heat treatment processes are increasingly little used because of the defects (such as cracks, but also the collapse and superficial cementation) which they are associated with, especially when the speed of treatment is high. Therefore, wet thermal treatment processes are increasingly used, for dimensional stability and avoiding the appearance of cracks in the wood [
12,
13]. Even artificial drying of lumber is done under the protection of wet saturated steam to avoid drying defects.
The invention of the last years in this field of wood thermal treatment is Thermo-wood
TM [
6,
14,
15] a trademark of the Finnish Thermo-wood Association and the VTT [
6] Technical Research Centre in Finland. It is noted that the process is environmentally friendly, during the treatment there are no chemicals involved but only wet steam. The process is based on heating the wood to high temperatures of 170-225 °C, with the help of wet saturated steam and an oxygen-poor environment [
6,
16,
17] of 3%. Even if the steam pressure is low, the thermal treatment takes place in steam cells with horizontal cylindrical section, in order to withstand high pressure. The purpose of this thermal treatment is two-fold, respectively to increase the stability of wood (reducing water absorption and swelling in thickness) and its natural durability (keeping its properties intact for a long time, without the attack of insects and xylophagous fungi) [
18].
Clean wood without defects (resin bags, knots, etc.) should be used as the working material of thermal treatment. It is not good to use raw timber, because its defects need to be treated, which in the end they would have to be eliminated. As wood species usually used in the thermal treatment process can be mentioned: soft hardwoods like poplar and birch, dense hardwoods like beech and hornbeam, and softwoods like pine and spruce. Since thermal treated wood has some improved properties (dimensional stability and natural durability), its uses have expanded in humid or high humidity environments, such as kitchens and bathrooms in the indoor environment and parks, gardens, culverts, in the outdoor environment. This is why it can be considered that thermal treated wood can successfully replace native wood with cumbersome and expensive finishes necessary for outdoor products [
19,
20].
Amid the increasing demand for lumber in construction and other wood products in the construction materials industry, but also due to the increasingly restrictive conditions regarding the use of toxic wood protection substances, the emergence of thermal treated wood creates a new market for good quality timber. It was observed that by increasing the temperature of the heat treatment [
20,
21], the biological durability of wood will increase as well, but the resistance will decrease slightly [
6,
22]. Other disadvantages of thermal treated wood are the change of the natural color of the wood to blackish [
23,
24,
25], and the reduction of the wood’s sheen [
23]. However, some authors consider that by thermal treatment the color of the wood uniforms (there are no longer differences between sapwood and heartwood and between earlywood and latewood, etc.) and the black-silky color is an indisputable advantage of this type of wood.
Chemical analyses of thermal treated wood have revealed a better thermal stability of resinous wood compared to hardwoods [
26,
27], and the chemical compounds that degrade first at thermal treatment temperatures are hemicelluloses (starting with 170
°C) and less cellulose (over 230 °C) and lignin (over 260 °C). Therefore, the thermal treatment temperature is between 175-225 °C, specifically aiming the degradation of wood hemicelluloses, these being the most hydrophilic substance in wood, because of several hydroxyl groups at the end of the molecular chain [
25,
26,
27]. Also, by thermal treatment the crystallinity of the microscopic structure increases and the amorphous areas decrease [
25,
26]. Studies were also conducted on thermal treated and finished wood, finding no serious problems of adhesion of the film or durability over time [
28,
29].
European ash wood (
Fraxinus excelsior) is considered the second most important after the oak tree in Central Europe, and in 2001 it was considered the tree of the year. It is distinguished by a uniform and light color, with good resistance and machinability, being particularly strength and durable. European ash had high average value of density on a certain site
(689 kg/m3); but a lower one on another site (665 kg/m3) [
30]. Other authors [
31] studied the equilibrium moisture content and found for a relative air moisture content of 90% and a temperature of 75 ºC a wood equilibrium moisture content of 7%.
Objectives of the paper. From the bibliographic study it was concluded that thermal treated wood is one of the pertinent solutions to the shortage of high-quality timber, necessary for finished wood products used in conditions with high moisture content (whether indoor or outdoor conditions). It was also noticed that one of the less used species in thermal treatment was the European ash, which is why the main objective of the paper is to determine the physical and mechanical properties of thermal treated ash wood. In this respect, the aim of the paper will be to increase the dimensional stability of the ash wood, by thermal treatment to 185 ºC of semi-finished products, specially prepared for this purpose. As an element of comparison, the native (thermal untreated) ash wood was be chosen.
2. Materials and Methods
Working material. For experiments ash wood (
Fraxinus excelsior L.) semi-finished products were purchased with sizes of 2000 x 50 x 50 mm obtained from the company "Unilin Flooring Romania" Brasov, Romania, wood in heat treated condition as well as native one (heat untreated). Prior to the acquisition, these semi-finished products were traced to the manufacturing company, observing that they were heat treated at 185 °C, in a humid saturated steam environment, in a heat treatment autoclave. The thermal treatment period was composed of the initial heating period, then the actual thermal treatment period, and the final cooling period. After cooling, the semi-finished products were removed from the autoclave and kept for 10 days in a rest and conditioning room. Also, these semi-finished products were prepared before thermal treatment by eliminating all defects in shape or structure. Further, the treated and untreated semi-finished products were cut into samples specific to each laboratory test, the samples being marked with T-treated ash wood and N-native ash wood.
Figure 1 shows the 3 periods of heat treatment (heating-drying, proper treatment, and cooling-remoistening), the use of 185 °C for obtaining a high dimensional stability [
2,
4,
6]. It is also noted that, although the thermal wood process lasts over 40 hours, the duration of the actual thermal treatment is only 3 hours, that is less than 8%. The semi-finished products used were treated at 185 ºC, only to improve the dimensional stability of the ash wood.
In the actual test, each sample was weighed to determine the mass with a Kern-type analytical balance (Kaiser Kraft, Stuttgart, Germany) with an accuracy of one decimal, and the dimensions were determined with an electronic caliper, with an accuracy of two decimals. Based on the values of the dimensions and the mass of each sample, their density was determining using the following formulaː
Where: m-mass of samples, in g; l-length of specimens, in mm; b-width of samples, in mm; g-thickness of samples, in mm.
The equilibrium moisture of the wood [
33]
. The equilibrium moisture of wood is that moisture that wood acquires after prolonged exposure in an environment with constant parameters (air temperature and humidity). For this, absolutely dry samples were used (kept 24 hours in Memmert laboratory environmental chamber, with dimensions of 100x20x20 mm, 10 of each type, native or heat treated. For this test, an ASLI conditioning chamber was used, using 3 working regimes: I (T=20
°C and RH = 80%); II (T=15; RH=95%); III (20 and 99%). The samples were kept for 4 days continuously (96 hours) in the conditioning room. The aim was to identify the equilibrium moisture differences between the native ash wood and the thermal treated ash wood, and the correlation with the equilibrium moisture diagram in
Figure 2. The relation to determine the equilibrium moisture (EMC) was the followingː
Whereː mu-the mass of the wooden sample after storage in the conditioning chamber, in g; m0-the mass of the absolutely dry wood sample, obtained before the test by drying, in g.
Water absorption and swelling in thickness conform ASTM D570-22 [
34],
ASTM D143-21 (2021) [
35]. In order to determine the influence of liquid water on treated/native ash wood, 10 pieces of 100 x 20 x 20 mm were cut from the semi-finished products. The samples were weighed with the Kern 250 balance (Frankfurt, Germany) in order to obtain mass and their thickness was measured with the electronic caliper with an accuracy of two decimals. Then, the samples were placed in a laboratory environmental chamber (Memmert, Hamburg, Germany) to dry them at 103±2°C, for 10 hours, to obtain the absolutely dry mass of the samples. In order to cool in a moisture-free environment, the samples were kept in a desiccator for 4 hours. Then, the cooled samples were weighed and the thickness and mass of the samples were determined. This was the basis of measurement, to know the absolutely dry mass and the thickness from which the moisture absorption process started after complete immersion in water. After obtaining the initial masses and thicknesses, the samples were placed in immersion tank with water, at room temperature of 20 °C, kept at 20 mm below the water level. The water used was clean and distilled. The duration of immersion in water of the two types of samples (heat treated and native-control) was 2 hours and 24 hours, in order to determine the water absorption and swelling in thickness, both after 2 hours of immersion and after 24 hours of immersion (ASTM D570-22) [
33]. After 2/24 hours, the samples were removed from the immersion bath, buffered with blotting paper in order to eliminate the excess water, and weighed with the same analytical balance. These samples were further measured in thickness on two tangential and radial directions (then they were averaged) with the same electronic caliper.
Next, the water absorption was determined after 2 hours and 24 hours, with the following two calculation formula (Eq. 3):
Where: A2h - water absorption after 2 hours of immersion in water, in%; mi2-mass of the test sample immersed for 2 hours, in g, m0-initial mass of the absolutely dry specimen in g; A24h- water absorption after 24 hours immersion in water, in %; mi24-the mass of the sample immersed in water for 24 hours, in g.
The decrease of water absorption following the thermal treatment of ash wood was made with the following formula (Eq. 4)ː
Whereː D-decrease of water absorption after heat treatment of beech wood, in %; At-water absorption of thermal-treated ash wood, in %.
The swelling in the thickness of the samples was determined according to the variation in the thickness of the samples, with the following two calculation formulas,determined at 2 or 24 hours (Eq. 5)
Whereː S2h-swelling in thickness after immersion in water for 2 hours, in %; gi2h-thickness of samples immersed in water for 2 hours, in mm, g0- initial thickness of absolutely dry specimens, before immersion, in mm; A24h-swelling in thickness, after 24 hours immersion in water, in %; gi24h-the thickness of the samples immersed in water for 24 hours, in mm.
Determining the color of wood in the CIELab color space [
24,
25]. The color of the wood changed during thermal treatment, from a light brown to light black. That is why the color was determined on both native and thermal treated samples. The CIELab color system was used, and the parameter used was the luminance, denoted by L, which shows the degree of white or black of the native and thermal treated ash samples. A TESS-135A colorimeter (Tess Electrical, Electronic Corp. Taipei, Taiwan) was used as equipment, and the use of color space CIELab. This coloristic system makes it possible to transform the visual appreciation of color into a numerical value. Since the essential difference between natural and heat-treated ash wood is grey-black hue, for the differentiation only the parameter "luminance" (opposition between white and black) was used (
Figure 3), without taking into account the opposition between red and green (parameter "a") or the opposition between yellow and blue (parameter "b").
Brinell hardness conform EN 1534ː2003 [
35] and ASTM D1474-98 :2008 [
36,
37]. Brinell hardness expresses the resistance of the surface of a material, when a 10 mm diameter ball presses on the surface, trying to deform or destroy it. This resistance of wood materials is higher on the cross section and much lower on the cross section and much lower on the tangential and radial ones. In
Figure 4 the shape of the Brinell device used for testing wood surface may be observed.
The Brinell hardness calculation formula has as its main dependence parameter the diameter of the traces left by the ball on the surface of the wood material, as can be seen from the following calculation formula (Eq. 6)
Whereː P-is the applied force, related to wood density, in N; D-diameter of the punch ball of 10 mm; D-the diameter of the trace imprint on the wood, in mm.
Ten valid samples were used for testing each wood ash types, treated or native.
Roughness of surfaces. Roughness is an important parameter because it characterizes the quality of the processed surfaces. The equipment used to determine the roughness of wood materials consisted of a Mitutoyo SJ-201 inductive roughness meter (Mitutoyo company, Kawasaki city, Japan), with diamond tip probe of 2 μm, and Gaussian digital filter). The operating principle of the roughness meter is EN ISO 4287-1ː1997 and EN 338:2016 [
38,
39]. The apparatus is fixed on a support of Kennon Instruments columns (Hi Tech Drive Sheridan, Wyoming, USA) (
Figure 5).
The wooden piece 1 subjected to the action of determining the roughness is arranged on a perfectly horizontal support, with the working head 2 above it (
Figure 5). The working head, which is elastically fixed on an articulation in order to take over all the unevenness of the piece, is adjusted in two directions, namely vertically and horizontally. The main parameters of roughness characterization were R
a (arithmetic mean of irregularities), R
z (average height of irregularities), R
q (mean square root of irregularities).
R
a is recognized as the most widely used roughness parameter. Ra represents the arithmetic mean of the absolute deviations of the roughness profile related to the average line. For this it is necessary to know the line of the roughness profile and a series of values for each of the heights and the depths of this profile. Based on the values of profile and the center line, there are obtained several deviations, some of them situated on the upper side of the central line and other ones under it. (
Figure 6).
If it is taken into consideration that the deviations under the central line of the profile are negative, their module will be used or the positive absolute values (Eq. 7)
Where: asi - current superior deviation, in μm; aij - inferior current deviation, in μm, n - number of superior deviations; m - number of inferior deviations.
R
q represents the value of the mean square root of the parameter R
a. The R
q parameter is much more sensitive to the maximum and minimum points on the measured surface, making it often used in the optical industry, tending to give a higher value than R
a. For statistical calculation, the values of the parameter R
q are more significant than those R
a. For statistical calculation, the values of the parameter R
q are more significant than those of R
a. In order to obtain this parameter, the values of R
a are firstly calculated for every point, after which the 2-grade radical is extracted from it (Eq. 8).
The average maximum height R
z parameter is based on the maximum height between the maximum and minimum profile point within the assessment length. In order to determine the Rz parameter, the roughness profile is determined, and then five areas of reference are considered, where the highest top and the deepest depth are found for the profile. The height between them is noted with R
z1, R
z2, R
z3, R
z4, R
z5 (
Figure 6.b).
Standards EN ISO 4287: 1997 [
38] indicates that there are 14 classes of roughness marked from N0 to N13, where Ra parameter varies from 0.012 to 100 μm (
Table 1,
Figure 7)
Table 1.
Correlation between classes of roughness and Ra parameter (ISO 4287:1997) [
38].
Table 1.
Correlation between classes of roughness and Ra parameter (ISO 4287:1997) [
38].
N0 |
N1 |
N2 |
N3 |
N4 |
N5 |
N6 |
N7 |
N8 |
N9 |
N10 |
N11 |
N12 |
N13 |
0.012 |
0.025 |
0.05 |
0.10 |
0.20 |
0.40 |
0.80 |
1.60 |
3.20 |
6.30 |
12.50 |
25.00 |
50 |
100 |
For wood and other wood materials values between N7-N11 are known, that is between 1.6-25 μm.
Modulus of rupture (MOR) and modulus of elasticity (MOE) of ash wood.
To determine the resistance and elasticity (EN 384:2013) [
40] of the two categories of samples (native and thermal treated ash wood) a universal testing machine with hydraulic motion type WE 10, Shanghai, China was used. The machine was equipped with the bending devices, namely the two supports of the samples and the force punch (
Figure 9), both having a diameter of 30 mm and a width large enough to fit the width of 20 mm of the samples. In the case of the bending test, both the rupture module (MOR) and the elasticity module (MOE) were determined at static bending. For the determination of the module at rupture/elasticity at static bending samples with section of 20x20 mm and length of 290 mm (observing the distance between the supports of 240 mm) were used, for native ash wood-control and thermal treated ash wood. The calculation formulas for the determination of the rupture module (MOR) and the elasticity module (MOE) at static bending (
Figure 8) were as follows (Eq. 10) according to (EN 338ː2009).
Whereː MOR-static bending rupture module, in N / mm2; Pmax - maximum rupture force of the sample in N; l-distance between supports, in mm; b - width of the samples in mm; g-thickness of the sample, in mm; MOE-static bending elasticity module, in N/mm2;l1- distance between supports, in mm; P1- the value of 10% of the maximum rupture force, in N; F2-the value of 40% of the maximum rupture force, in N; b-the width of the samples, in mm; t-the thickness of the sample, in mm; a1-deformation recorded for force F1, in mm; a2-deformation recorded for force F2, in mm.
Join strength [41]. There were used 3 types of joints (
Figure 9), namelyː length tooth joint, corner joint with own dowel for frames, and corner joint for boxes, both for native and thermal treated wood. The first category of length tooth joints (specific for Glulam-Glue laminated timber) or CLT- cross laminated timber) was subjected to the tensile test until rupture; the width of the samples was 80 mm and their thickness was 30 mm. The resistance of this type of determination (
) was determined as the ratio between the rupture force and the area of the rupture section (5 times the lateral surface of a tooth), with the following calculation formula (Eq. 11)ː
Whereː Fmax-maximum tensile rupture force, in N; bt-tooth width, of 80 mm; ht-tooth height, of 15 mm.
The last two categories of joints (specific to frames and boxes) were introduced in the universal test machine and tested resistance to rupture of the joint according to the test scheme (
Figure 10).
The joint resistance was determined as the ratio between the rupture force and the area of the gluing surface (in the second case of frame joints this being 2 times the lateral surface of the dowel, and in the third case of box, 3 times the lateral gluing surface of the tooth), with the help of the following determination formulas (Eq. 12) ː
[N/mm
2]
Whereː τf-joint shear resistance for frame, in N/mm2; Fmax1-maximum shear force of corner joint for frames, in N; bd –width of the dowel, 80 mm; hd-height of the dowel, 20 mm; -shear resistance of box-type corner joint, in N/mm2; bg-gluing surface width, 80 mm; hg-gluing surface height, 15 mm.
Statistical data processing. All the values obtained were subjected to the primary statistical analysis, by determining the arithmetic mean of the values and the standard deviation. It is also determined the Pearson correlation coefficient and the limits of variation of the values for a confidence interval of 95%, that is by taking some intervals of plus/minus two standard statistical deviations. Microsoft Excel program has created new opportunities for obtaining graphs and statistical processing, such as the coefficient of determination, R2.