CN115091574A - Prediction method and prediction model for content of extractives at positions of different thickness layers of heat-treated wood - Google Patents
Prediction method and prediction model for content of extractives at positions of different thickness layers of heat-treated wood Download PDFInfo
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- CN115091574A CN115091574A CN202210837572.XA CN202210837572A CN115091574A CN 115091574 A CN115091574 A CN 115091574A CN 202210837572 A CN202210837572 A CN 202210837572A CN 115091574 A CN115091574 A CN 115091574A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B27—WORKING OR PRESERVING WOOD OR SIMILAR MATERIAL; NAILING OR STAPLING MACHINES IN GENERAL
- B27K—PROCESSES, APPARATUS OR SELECTION OF SUBSTANCES FOR IMPREGNATING, STAINING, DYEING, BLEACHING OF WOOD OR SIMILAR MATERIALS, OR TREATING OF WOOD OR SIMILAR MATERIALS WITH PERMEANT LIQUIDS, NOT OTHERWISE PROVIDED FOR; CHEMICAL OR PHYSICAL TREATMENT OF CORK, CANE, REED, STRAW OR SIMILAR MATERIALS
- B27K5/00—Treating of wood not provided for in groups B27K1/00, B27K3/00
- B27K5/0085—Thermal treatments, i.e. involving chemical modification of wood at temperatures well over 100°C
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B27—WORKING OR PRESERVING WOOD OR SIMILAR MATERIAL; NAILING OR STAPLING MACHINES IN GENERAL
- B27K—PROCESSES, APPARATUS OR SELECTION OF SUBSTANCES FOR IMPREGNATING, STAINING, DYEING, BLEACHING OF WOOD OR SIMILAR MATERIALS, OR TREATING OF WOOD OR SIMILAR MATERIALS WITH PERMEANT LIQUIDS, NOT OTHERWISE PROVIDED FOR; CHEMICAL OR PHYSICAL TREATMENT OF CORK, CANE, REED, STRAW OR SIMILAR MATERIALS
- B27K1/00—Damping wood
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/15—Correlation function computation including computation of convolution operations
Abstract
The invention belongs to the technical field of wood processing, and particularly relates to a prediction method and a prediction model for the content of extractives at different thickness layer positions of heat-treated wood, wherein the prediction method comprises the following steps: carrying out heat treatment on the raw material wood at a temperature T to obtain heat-treated wood; humidifying the heat-treated wood; calculating and predicting the extract content of the string cutting processing surface
The invention provides a prediction method and a prediction model for the content of extractives at different thickness layer positions of heat-treated wood, and the method and the prediction model can accurately predict the chordal cutting processing of the heat-treated wood at 160-220 ℃ at different positions along the thickness direction without damaging the heat-treated wood according to the established extraction content prediction modelChange in the extract content of the flour; and the content of the extractives on the chord cutting processing surface of the heat treatment wood at the designated position along the thickness direction can be regulated and controlled by controlling the heat treatment temperature.
Description
Technical Field
The invention belongs to the technical field of wood processing, and particularly relates to a method and a model for predicting the content of extractives in different thickness layer positions of heat-treated wood.
Background
The wood is a material which is used more in civil buildings and decorations, has the functions of natural environmental protection, heat preservation, space humidity balance maintenance and the like, and is popular with people. However, the wood is an anisotropic material, and the defects of deformation, cracking, decay and the like can occur in the using process, so that the artificial forest wood is more prominent. Therefore, in recent years, many forestry workers have developed a great deal of research on wood modification technology aiming at the problems of soft wood, low density, low strength, poor dimensional stability and the like of the artificial forest, and the aim is to overcome the defects of the artificial forest and expand the application range of the artificial forest. The wood heat treatment technology is used as an environment-friendly modification method, and the basic principle is that wood is treated for a certain time under the high-temperature condition, the cell wall substances of the wood are pyrolyzed and recombined in molecular structures, and the components of the wood are permanently chemically changed, so that the moisture absorption of the treated wood is reduced, the dimensional stability and the weather resistance are improved, and the wood-modified heat treatment technology is suitable for outdoor floors, outdoor decorative wallboards, courtyard furniture, wood fences and the like.
During the heat treatment of the wood, the hemicellulose is thermally degraded, and the formed small molecular substances remain in the modified wood, so that the content of the extract is increased. Extractives during wood processing, extractives affect not only certain properties of the wood, but also the processing technology, and even the health of the operator. The content of extractives was found to have some influence on the odor. Furthermore, the content of extractives has a considerable influence on the colour, wetting, gluing and finishing properties of the wood. For example: the extractives on the surface of the wood can interfere the formation of an interface between the adhesive and the wood, prevent the surface of the wood from being wetted, cause the bonding strength to be lowered, and simultaneously change the characteristics of the adhesive, the normal flowing of the adhesive and the spreading of the adhesive on the surface of the wood, even prevent the curing of an interface adhesive layer.
The heat-treated wood is further sawed, sliced or sanded before being processed into a wood product, so that the actual processing surface of the heat-treated wood is not the surface of the heat-treated wood, but the processing surface formed after the processing as shown in fig. 2, and the processing surface is generally a string section of the wood. Therefore, the method can accurately predict and regulate the content of the extract of the processing surface at different positions in the thickness direction of the heat-treated wood, and has important value for practical production and heat-treated wood utilization.
In the prior art, no literature report predicting the change of the content of the extractives in the thickness direction of the wood is found. In view of the above, there is a need to provide a method and a model for predicting the content of extracts at different thickness layer positions of heat-treated wood, which are beneficial to control and predict the content of extracts at different thickness layer positions of heat-treated wood without destructive detection, and provide a certain guiding significance for the practical production application of wood.
Disclosure of Invention
The invention aims to overcome the problems in the prior art and provides a method and a model for predicting the content of extractives in different thickness layer positions of heat-treated wood.
In order to achieve the technical purpose and achieve the technical effect, the invention is realized by the following technical scheme:
the invention provides a method for predicting the content of extractives in positions of layers with different thicknesses of heat-treated wood, which is characterized by comprising the following steps of:
s1, carrying out heat treatment on the raw material wood at the temperature T to obtain heat-treated wood; humidifying the heat-treated wood;
s2, calculating and predicting the extract content of the string-cut processing surface
When L is Prediction ≤L Center layer Is calculated according to formula (I)
When L is Prediction >L Center layer Is calculated according to formula (II)
In the formula, L Prediction Predicting the distance between the chord cutting processing surface and the surface of the heat treatment wood, wherein the unit is mm; l is Core layer The distance between the chord cutting processing surface of the central layer and the surface of the heat treatment wood is measured in mm; l is a radical of an alcohol Total thickness of Is the overall thickness of the heat-treated wood in mm; t is the heat treatment temperature of the raw material wood, and the unit is; wood surface refers to the surface radially away from the pith.
Further, in the method for predicting the content of the extractives at the positions of the different thickness layers of the heat-treated wood as described above, in step S1, T is 160 to 220 ℃.
Further, in the method for predicting the content of the extract in the positions of the different-thickness layers of the heat-treated wood as described above, in step S1, after the humidity-conditioning treatment, the moisture content w of the wood is 8 to 12%.
Further, according to the method for predicting the content of the extractives in the positions of the layers with different thicknesses of the heat-treated wood, in step S1, the raw material wood is protected by steam in heat treatment equipment, the temperature is raised to 120-220 ℃ at the temperature raising rate of 5-30 ℃/min, and the temperature is maintained for 0.5-4 h.
Further, as the method for predicting the content of the extractives at the positions of the different thickness layers of the heat-treated wood as described above, in step S2, the formula (I) and the formula (II) are software-fitted to the chordal cut surfaces of the heat-treated wood at the different heat-treatment temperatures at the different positions in the thickness direction
T, S, and the function corresponding to the fitted surface is obtained.
Further, the method for predicting the content of the extractives at the positions of the layers with different thicknesses of the heat-treated wood and the method for predicting the content of the extractives at the positions of the layers with different thicknesses of the heat-treated wood as described above
The measurement is carried out according to relevant measurement standard experiments by using wood flour with certain thickness below the surface as a raw material.
The invention provides a prediction model of the content of extractives at different thickness layer positions of heat-treated wood, which is used for carrying out heat treatment on raw material wood at a temperature T to obtain heat-treated wood; humidifying the heat-treated wood;
when L is Prediction ≤L Center layer Is calculated according to formula (I)
When L is Prediction >L Core layer Is calculated according to formula (II)
Further, the above prediction model is used for calculating and predicting the extract content of the string cutting processing surface
Before, heat-treated wood is requiredAnd (3) humidifying the material until the water content w is 8-12%.
The invention has the beneficial effects that:
the invention provides a prediction method and a prediction model for the content of extractives at different thickness layer positions of heat-treated wood, according to the established extraction content prediction model, the content change of the extractives of the chord-cut processing surfaces of the heat-treated wood at different positions along the thickness direction at 160-220 ℃ can be accurately predicted without damaging the heat-treated wood; and the content of the extract on the chord cutting processing surface of the heat-treated wood along the designated position in the thickness direction can be regulated and controlled by controlling the heat treatment temperature.
Of course, it is not necessary for any one product that embodies the invention to achieve all of the above advantages simultaneously.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a block flow diagram of a prediction method of the present invention;
FIG. 2 is a schematic view of a chordal ablation processing surface of the prior art;
FIG. 3 is a schematic view of a chordal cut processing surface of the present invention;
FIG. 4 is a schematic view of a selected string cut face of a heat treated wood according to one embodiment of the present invention;
FIG. 5 is a diagram illustrating a fitting model according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in figure 1, the invention provides a method for predicting the content of extractives in positions of layers with different thicknesses of heat-treated wood, which comprises the following steps:
s1, carrying out heat treatment on the raw material wood at the temperature T to obtain heat-treated wood; humidifying the heat-treated wood;
s2, calculating and predicting the extract content of the string cutting machined surface
When L is Prediction ≤L Center layer Is calculated according to formula (I)
When L is Prediction >L Center layer Is calculated according to formula (II)
In the formula, L Prediction Predicting the distance between the chord cutting processing surface and the surface of the heat treatment wood, wherein the unit is mm; l is Center layer The distance between the chord cutting processing surface of the central layer and the surface of the heat treatment wood is measured in mm; l is Total thickness of Is the overall thickness of the heat-treated wood in mm; t is the heat treatment temperature of the raw material wood, and the unit is; wood surface refers to the surface radially away from the pith.
A prediction model of the content of extractives at different thickness layer positions of heat-treated wood is used for carrying out heat treatment on raw material wood at a temperature T to obtain heat-treated wood; subjecting the heat-treated wood to moisture regulationC, trimming; when L is Prediction ≤L Core layer Is calculated according to formula (I)
When L is Prediction >L Center layer Is calculated according to formula (II)
Calculating and predicting the extract content of the string cutting processing surface
Before, the heat-treated wood needs to be subjected to humidity conditioning treatment until the moisture content w is 8-12%.
The specific embodiment of the invention is as follows:
example 1
The establishment of the prediction function between the content index of the extractives at the positions of different thickness layers of the heat-treated wood and T, S comprises the following steps:
1) as shown in FIG. 3, a long wood board having a cross section of 30mm × 40mm was divided into two parts for the control group and the heat treatment test group, respectively.
2) And (3) under the steam protection environment, performing heat treatment on the wood with the water content of 10% and the thickness of 30mm in a heat treatment test group at the temperature of 160 ℃, 190 ℃ and 220 ℃ for 2 hours to obtain the heat-treated wood. The heat treatment test box is selected from PXR-9 model, Shanghai-Hengshijic Co., Ltd; when heating, the heating rate of 20 ℃/min is adopted.
3) Layered treatment
Slicing the heat-treated wood from surface to center layer by 1.5mm to obtain wood powder with different layer positions, named L, as shown in FIG. 4 1 -L 10 ：
L 1 : wood powder from the surface of the wood to the position with the thickness of 1.5mm and 0-1.5 mm;
L 2 : wood powder from a position where the thickness of the wood is 1.5-3.0 mm;
L 3 : wood powder from a position where the thickness of the wood is 3.0-4.5 mm;
L 4 : wood powder from a position where the thickness of the wood is 4.5-6.0 mm;
L 5 : wood powder from a position where the thickness of the wood is 6.0-7.5 mm;
L 6 : wood powder from a position where the thickness of the wood is 7.5-9.0 mm;
L 7 : wood powder from a position where the thickness of the wood is 9.0-10.5 mm;
L 8 : wood powder from a position where the thickness of the wood is 10.5-12.0 mm;
L 9 : wood powder from a position where the thickness of the wood is 12.0-13.5 mm;
L 10 : wood powder from a position where the thickness of the wood is 13.5-15.0 mm;
wherein: the numbers of 18 different heat-treated wood working surfaces are respectively recorded as:
A1(160℃-L 1 )、A2(160℃-L 2 )、A3(160℃-L 3 )、A4(160℃ -L 4 )、A5(160℃-L 9 )、A6(160℃-L 10 )；
A7(190℃-L 1 )、A8(190℃-L 2 )、A9(190℃-L 3 )、A10(190℃ -L 4 )、A11(190℃-L 9 )、A12(190℃-L 10 )
A13(220℃-L 1 )、A14(220℃-L 2 )、A15(220℃-L 3 )、A16(220℃ -L 4 )、A17(220℃-L 9 )、A18(220℃-L 10 )。
3) determination of extract content
According to the determination of the content of the extract of the forestry biomass raw material analysis method (GB/T35816) 2018 of the following national standard method of the people's republic of China, 3g of oven-dried wood powder of 40-60 meshes is taken, and the content of the extract of the heat-treated poplar is subjected to wet chemical determination:
each set of wet chemistry assays was performed in triplicate and the average was taken. The results are shown in table 1:
TABLE 1
4) Predictive model building
In table 1
The data and corresponding T, S data were fitted and the model fitted is shown in FIG. 5 when L Fruit of Chinese wolfberry ≤L Center layer The fitting function is then:
when L is Fruit of Chinese wolfberry >L Center layer The fitting function is then:
r of the fitting function 2 ＞0.9。
Example 2
Prediction model verification of content of extractives at different thickness layer positions of heat-treated wood of thermal modified wood
The method comprises the following steps:
1) preparation of heat-treated wood
Under the environment of steam protection, wood with the water content of 10% and the thickness of 30mm is subjected to heat treatment at the temperature of 170 ℃ and 200 ℃ for 2 hours to obtain 3 groups of heat-treated wood.
The heat treatment test box is selected from PXR-9 model, Shanghai-constant technology Co., Ltd; when heating, the heating rate of 20 ℃/min is adopted.
2) Layered treatment
Slicing the heat-treated wood from surface to center layer by 1.5mm to obtain wood powder with different layer positions, named L, as shown in FIG. 3 1 -L 10 。
Wherein: the numbers of 12 different heat-treated wood processing surfaces are respectively marked as:
B1(170℃-L 1 )、B2(170℃-L 2 )、B3(170℃-L 3 )、B4(170℃ -L 4 )、B5(170℃-L 9 )、B6(170℃-L 10 )；
B7(200℃-L 1 )、B8(200℃-L 2 )、B9(200℃-L 3 )、B10(200℃ -L 4 )、B11(200℃-L 9 )、B12(200℃-L 10 )；
3) obtaining the actual values of the content of the extractives of the processing surfaces at different positions in the thickness direction of the heat-treated material through destructive testing
Evaluating the absolute value of errors and the prediction accuracy of the extract content model of different thickness layer positions of the heat-treated wood:
the results of the correlation measurements are shown in table 2:
TABLE 2
The average value of the absolute values of the prediction errors of the contents of the extractives in the positions of the layers with different thicknesses of the heat-treated wood is only 0.27, the prediction accuracy rate is up to 93.70 percent on average, and the industrial application requirements are met.
The preferred embodiments of the present invention disclosed above are intended to facilitate the explanation of the present invention only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (8)
1. The method for predicting the content of the extractives in the positions of the layers with different thicknesses of the heat-treated wood is characterized by comprising the following steps of:
s1, carrying out heat treatment on the raw material wood at the temperature T to obtain heat-treated wood; humidifying the heat-treated wood;
s2, calculating and predicting the extract content of the string-cut processing surface
When L is Prediction ≤L Center layer Is calculated according to formula (I)
When L is Prediction >L Center layer Is calculated according to formula (II)
In the formula, L Prediction Predicting the distance between the chord cutting processing surface and the surface of the heat treatment wood, wherein the unit is mm; l is a radical of an alcohol Center layer The distance between the chord cutting processing surface of the central layer and the surface of the heat treatment wood is measured in mm; l is a radical of an alcohol Total thickness Is the overall thickness of the heat-treated wood in mm; t isThe heat treatment temperature of the raw material wood is measured in units of ℃; wood surface refers to the surface radially away from the pith.
2. The method for predicting the content of the extractives in the positions of the layers with different thicknesses of the heat-treated wood as claimed in claim 1, wherein: in step S1, T is 160-220 ℃.
3. The method for predicting the content of the extractives in the positions of the layers with different thicknesses of the heat-treated wood as claimed in claim 1, wherein: in step S1, after the humidity conditioning treatment, the moisture content w of the wood is 8 to 12%.
4. The method for predicting the content of the extractives in the positions of the layers with different thicknesses of the heat-treated wood as claimed in claim 2, wherein: in the step S1, the raw material wood is protected by steam in heat treatment equipment, the temperature is raised to 120-220 ℃ at the heating rate of 5-30 ℃/min, and the temperature is kept for 0.5-4 h.
5. The method for predicting the content of the extractives in the positions of the layers with different thicknesses of the heat-treated wood as claimed in claim 1, wherein: in step S2, the formula (I) and the formula (II) are fitted by software to the chord-cut machined surfaces of the heat-treated wood at different heat treatment temperatures at different positions in the thickness direction
T, S are obtained.
6. The method for predicting the content of the extractives in the positions of the layers with different thicknesses of the heat-treated wood as claimed in claim 5, wherein: of the string-cut working surface
The measurement is carried out according to relevant measurement standard experiments by using wood flour with certain thickness below the surface as a raw material.
7. A prediction model obtained by applying the method for predicting the content of the extractives in the positions of the layers with different thicknesses of the heat-treated wood as claimed in any one of claims 1 to 6, wherein the method comprises the following steps: carrying out heat treatment on the raw material wood at a temperature T to obtain heat-treated wood; humidifying the heat-treated wood;
when L is Prediction ≤L Core layer Is calculated according to formula (I)
When L is Prediction >L Core layer Is calculated according to formula (II)
8. The predictive model of claim 7, wherein: calculating and predicting the extract content of the string cutting processing surface
Before, the heat-treated wood needs to be subjected to humidity conditioning treatment until the water content w is 8-12%.
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| CN101623887A (en) * | 2009-08-04 | 2010-01-13 | 北京林业大学 | Method for processing wood and wood manufactured by same |
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| CN114002203A (en) * | 2020-12-31 | 2022-02-01 | 安徽农业大学 | Method and device for analyzing content of wood components based on Raman spectrum |
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| CN101623887A (en) * | 2009-08-04 | 2010-01-13 | 北京林业大学 | Method for processing wood and wood manufactured by same |
| CN110779906A (en) * | 2019-11-26 | 2020-02-11 | 清华大学 | Quantitative analysis method for trace substance based on enhanced Raman scattering relative intensity external standard method |
| CN114002203A (en) * | 2020-12-31 | 2022-02-01 | 安徽农业大学 | Method and device for analyzing content of wood components based on Raman spectrum |
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