A wood straightening device for wood furniture production

Abstract

The application discloses a wood straightening device for wood furniture production and relates to the technical field of wood straightening devices. A straightening execution assembly is installed on the workbench of a rack and is used for automatically completing linkage adjustment of heat and humidity parameters, force distribution and locking strength according to the wood state, equipment working conditions and environmental conditions during operation, and implementing heat and humidity coupling straightening and locking shaping on the wood. The straightening device introduces heat and humidity coupling, segmented elastic force and intelligent linkage control technology, realizes full-process intelligent closed-loop control from data acquisition to adaptive straightening and then to subsequent tracking and model self-optimization, and significantly improves the precision, efficiency and adaptability of wood straightening.

Description

Technical Field

[0001] This invention relates to the field of wood straightening devices, and specifically to a wood straightening device for the production of wooden furniture. Background Technology

[0002] In the production of wooden furniture, wood straightening is a key process for improving the dimensional accuracy and appearance quality of the product, and its quality directly affects the accuracy of subsequent processing and the yield of finished products. However, as a natural anisotropic material, wood exhibits significant differences in fiber orientation, moisture content, density, and initial curvature between different batches and different tree species. At the same time, the ambient temperature, humidity, and equipment operating conditions also fluctuate during processing.

[0003] 1. Traditional straightening devices struggle to achieve synchronized matching and dynamic optimization of thermal and moisture parameters, force distribution, and locking strength. Using rigid pressure plates or single heat sources can easily lead to problems such as localized overpressure cracking, heat damage and discoloration, or insufficient softening. Furthermore, the lack of effective rebound suppression and stress relief measures after straightening causes secondary deformation of the wood during cooling, affecting its shape stability.

[0004] 2. In the face of the demand for efficient straightening of various types and specifications of timber, there is insufficient ability to perceive the timber state in real time, accurately predict mechanical properties and autonomously adjust process parameters. It is also difficult to maintain the consistency and controllability of the straightening process under the coupling effect of multiple physical fields (heat, humidity and force).

[0005] Given the stringent requirements for the precision of wood morphology and the performance of materials in the production of wooden furniture, there is an urgent need to propose a fully automatic straightening device and method that integrates multi-dimensional sensing, thermo-humidity coupling control, segmented flexible force application and intelligent locking and shaping, so as to achieve high-precision, low-damage and adaptive wood straightening under complex working conditions. Summary of the Invention

[0006] The purpose of this invention is to provide a wood straightening device for the production of wooden furniture, so as to solve the problems in the prior art.

[0007] To achieve the above objectives, the present invention provides the following technical solution: a wood straightening device for wooden furniture production, comprising a frame and a straightening execution component. The straightening execution component is installed on the worktable of the frame and is used to automatically adjust the linkage of heat and humidity parameters, force distribution and locking strength according to the wood condition, equipment operating conditions and environmental conditions during operation, so as to perform heat and humidity coupling straightening and locking shaping on the wood.

[0008] In a preferred embodiment, the straightening execution component includes a segmented elastic pressure plate mechanism, a thermo-wet coupling force application module, a damping locking mechanism, and a multi-source sensing and intelligent control unit; The segmented elastic pressure plate mechanism's elastic pressure plate unit, the heat-conducting substrate of the heat-and-humidity coupling force application module, and the atomizing nozzle are integrated into a single embedded structure. The back of the integrated embedded structure is fixed to an integrated base plate, which is slidably connected to the machine frame's worktable via a slide rail and moved along the width of the wood by a servo motor drive arm. The hot air duct array of the heat-and-humidity coupling force application module is fixed to the support on the back of the machine frame, and the air outlets of the hot air duct array correspond one-to-one with the heat-conducting substrate of the elastic pressure plate unit. The damping locking mechanism's damping clip is connected to the damping adjuster on the side wall of the machine frame via an electromagnetic latch. The damping adjuster and the infrared thermal imager form a feedback loop. The sensors of the multi-source sensing and intelligent control unit are distributed at the machine frame's feeding and upper positions, and form a collaborative system with the edge computing unit, the wood mechanical property prediction model, and the actuator.

[0009] In a preferred embodiment, the operation of the straightening device includes the following steps: After the straightening device acquires multi-source data of wood, it inputs it into the wood mechanical property prediction model. The wood mechanical property prediction model outputs the critical temperature for softening wood fibers, the elastic modulus decay curve, and the theoretical force threshold under different curvatures based on the multi-source data, forming a collaborative feature map. Based on the difference between the critical softening temperature of wood fiber and the ambient temperature in the collaborative feature map, the heat and humidity coupling force module automatically adjusts the air volume of each air outlet and sprays water droplets synchronously through the atomizing nozzle, thereby reducing the softening temperature threshold by utilizing the synergistic effect of heat and humidity. When the servo motor drives the segmented elastic pressure plate mechanism to apply force, the theoretical force threshold output by the wood mechanical property prediction model and the deviation of the actual bending degree are dynamically adjusted to adjust the spring preload and servo motor torque. When the pressure plate displacement reaches the target straightening position, the damping locking mechanism dynamically sets the damping coefficient according to the ambient cooling rate. After straightening is completed, the multi-source sensing and intelligent control unit continuously tracks the springback of the key cross-section of the wood, while scanning the distribution of residual stress inside the wood. If the rebound amount is detected to exceed the rebound amount threshold, the data and adjustment parameters are back-scanned, and the root cause of the deviation is located through reinforcement learning algorithm. The correlation weight of tree species moisture content and softening temperature in the wood mechanical property prediction model is automatically updated.

[0010] In a preferred embodiment, the step of the straightening device acquiring multi-source data on wood includes: A curvature distribution cloud map is obtained by scanning along the axial direction of the wood using a laser profile scanner; Start the microwave moisture sensor and infrared thermal imager to collect the moisture content gradient and initial temperature field distribution from the surface layer to the heart layer of the wood, respectively. The environmental sensor array monitors the workshop conditions in real time and acquires workshop environmental data.

[0011] In a preferred embodiment, the damping locking mechanism dynamically sets the damping coefficient according to the ambient cooling rate, including the following steps: If cooling is slow, increase damping to maintain pressure until the core layer temperature drops below the temperature threshold. If cooling is rapid, damping is reduced to avoid rebound, thus achieving dynamic matching between pressure maintenance and the cooling process.

[0012] In a preferred embodiment, when the pressure plate displacement reaches the target straightening position, the damping locking mechanism dynamically sets the damping coefficient according to the ambient cooling rate. The damping coefficient D is calculated as follows: D = D0 × (vc_ref / vc), where D0 is the reference damping coefficient (e.g., Ns / m), vc_ref is the reference cooling rate, and vc is the current cooling rate.

[0013] In a preferred embodiment, the multi-source sensing and intelligent control unit includes a laser profile scanner, a microwave moisture content sensor, an infrared thermal imager, and an environmental sensor group installed at the feed end of the frame. The scanning plane of the laser profile scanner is perpendicular to the wood axis to acquire a curvature distribution cloud map. The microwave moisture content sensor and the infrared thermal imager are respectively oriented towards the wood surface to the heart layer to collect the moisture content gradient and initial temperature field distribution. The environmental sensor group is fixed on the top of the frame to monitor the workshop temperature, humidity, and air pressure in real time. The signal output terminals of each sensor are connected to the edge computing unit embedded inside the frame. The output terminal of the edge computing unit is connected to the wood mechanical property prediction model. The output terminal of the wood mechanical property prediction model forms a closed-loop control link with the segmented elastic pressure plate mechanism, the thermo-humidity coupling force application module, and the damping locking mechanism.

[0014] In a preferred embodiment, the segmented elastic pressure plate mechanism includes several elastic pressure plate units arranged along the axial direction of the wood. Each elastic pressure plate unit is independently connected to an adjustable spring stiffness mechanism. The adjustable spring stiffness mechanism is connected to a servo motor drive arm via a piezoelectric ceramic push rod. The other end of the servo motor drive arm is fixed to the longitudinal guide rail of the frame, so that each elastic pressure plate unit conforms to the curved surface of the wood and applies pressure accordingly. The spring compression is adjusted by the piezoelectric ceramic push rod to change the applied force stiffness. The backs of multiple elastic pressure plate units are connected to an integrated base plate. The integrated base plate slides with the worktable surface of the frame via a slide rail and moves forward and backward as a whole along the width direction of the wood to adapt to wood with different cross-sectional dimensions.

[0015] In a preferred embodiment, the heat and humidity coupling force application module includes a heat-conducting substrate and an atomizing nozzle embedded in each elastic pressure plate unit. The heat-conducting substrate is connected to a hot air duct array on the back of the frame. The air outlet of the hot air duct array faces the curved convex area of ​​each elastic pressure plate unit. The air valve of the hot air duct array is controlled by a multi-source sensing and intelligent control unit. The atomizing nozzle is connected to a water mist generator on the side of the frame through a pipeline. The water droplets generated by the water mist generator are transported to the atomizing nozzle of each elastic pressure plate unit through the pipeline to uniformly humidify the wood surface. The combined action of the hot air duct array and the water mist generator forms a synergistic heat and humidity softening zone. The opening and closing of the air valve of the hot air duct array and the atomizing nozzle are controlled in real time by the multi-source sensing and intelligent control unit.

[0016] In a preferred embodiment, the damping locking mechanism includes a damping strip disposed along the back of the elastic pressure plate unit. One end of the damping strip is hinged to the side of the integrated base plate, and the other end is connected to a damping adjuster on the side wall of the frame via an electromagnetic latch. The damping adjuster has a built-in variable damping element that can dynamically set the damping coefficient according to the ambient cooling rate. When the pressure plate displacement reaches the target straightening position, the damping strip is locked by the electromagnetic latch. The locking strength of the damping strip is adjusted in a closed loop by the multi-source sensing and intelligent control unit based on the wood cooling rate fed back by the infrared thermal imager.

[0017] The technical effects and advantages provided by the present invention in the above technical solution are as follows: This application utilizes the synergistic effect of hot air duct arrays and atomizing nozzles to automatically adjust airflow and water mist supply based on the difference between the critical softening temperature of wood and the ambient temperature. Through the synergistic effect of humidity and heat, it effectively reduces the temperature required for fiber softening, thereby achieving more thorough plasticization with lower energy consumption. This reduces wood damage or performance degradation caused by overheating, while simultaneously improving the uniformity and controllability of the straightening response. The segmented elastic pressure plate mechanism, precisely driven by a servo motor, can adjust the spring preload and motor torque in real time based on the deviation between the actual curvature and the theoretical force threshold. This allows for differentiated and gradual force application to different areas, avoiding localized cracking or excessive rebound caused by a single strong pressure, and ensuring the consistency between the straightened shape and the target curvature.

[0018] The damping locking mechanism of this application dynamically sets the damping coefficient based on the ambient cooling rate, providing appropriate constraints during the critical stage of wood cooling and shaping. This suppresses deformation rebound caused by temperature difference contraction and improves shaping stability. After straightening, the system continues to monitor the rebound amount and internal residual stress distribution of key sections. Once rebound exceeding the threshold is detected, the system backtracks and analyzes the scan data and adjustment parameters, using reinforcement learning algorithms to trace the root cause of the deviation and update the correlation weights between tree species moisture content and softening temperature in the prediction model. This allows the equipment to continuously accumulate experience and optimize decision-making logic during long-term operation, achieving adaptive optimization.

[0019] The wood straightening device for wooden furniture production disclosed in this application introduces technologies such as thermo-humidity coupling, segmented elastic force application, and intelligent linkage control to achieve intelligent closed-loop control of the entire process, from data acquisition to adaptive straightening, and then to subsequent tracking and model self-optimization. This significantly improves the accuracy, efficiency, and adaptability of wood straightening. Its core lies in the deep integration of a wood mechanical property prediction model with a multi-source sensing system. This allows for real-time acquisition of multi-dimensional information such as the fiber state, moisture content, curvature, and ambient temperature and humidity of the wood. Based on this, it dynamically generates collaborative feature maps such as softening critical temperature, elastic modulus decay curve, and theoretical force application threshold. This transforms the straightening process from experience-driven to data-driven, enabling the formulation of optimal temperature, humidity, and force application strategies for different tree species, moisture contents, and initial curvatures. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0021] Figure 1 This is a schematic diagram of the overall structure of the straightening device of the present invention.

[0022] Figure 2 This is a schematic diagram of the segmented elastic pressure plate mechanism of the present invention.

[0023] Figure 3 This is a diagram illustrating the operational architecture of the straightening device of the present invention.

[0024] Figure 4 This is a schematic diagram of the straightening process of the straightening device of the present invention.

[0025] Figure 5 This is a timing diagram of the straightening device of the present invention.

[0026] In the diagram: 1 - Frame; 2 - Straightening actuator; 21 - Segmented elastic pressure plate mechanism; 22 - Thermal and wet coupling force application module; 23 - Damping locking mechanism; 24 - Multi-source sensing and intelligent control unit; 2101 - Elastic pressure plate unit; 2102 - Adjustable spring stiffness mechanism; 2103 - Piezoelectric ceramic push rod; 2104 - Servo motor drive arm. Detailed Implementation

[0027] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0028] Example: This example provides a wood straightening device for wooden furniture production. Please refer to [link / reference]. Figure 1 As shown, it includes a frame 1 and a straightening execution component 2. The straightening execution component 2 is installed on the workbench of the frame 1 and is used to perform heat and moisture coupling straightening and locking shaping on the wood. The straightening execution component 2 includes a segmented elastic pressure plate mechanism 21, a heat and moisture coupling force application module 22, a damping locking mechanism 23, and a multi-source sensing and intelligent control unit 24. The segmented elastic pressure plate mechanism 21's elastic pressure plate unit 2101, the heat-conducting substrate of the heat-humidity coupling force application module 22, and the atomizing nozzle are integrated into a single embedded structure. The back of this integrated embedded structure is fixed to an integrated base plate. The integrated base plate is slidably connected to the worktable surface of the frame 1 via a slide rail and is moved along the width of the wood by a servo motor-driven arm 2104. The hot air duct array of the heat-humidity coupling force application module 22 is fixed to the back support of the frame 1, and its air outlets correspond one-to-one with the heat-conducting substrate of the elastic pressure plate unit 2101. The damping locking mechanism 23... The damping strip is connected to the damping adjuster on the side wall of the frame 1 via an electromagnetic latch. The damping adjuster and the infrared thermal imager form a feedback loop. The sensors of the multi-source sensing and intelligent control unit 24 are distributed at the feeding and upper positions of the frame 1, and form a collaborative system with the edge computing unit, the wood mechanical property prediction model, and the actuator. This enables the device to automatically adjust the linkage of heat and humidity parameters, force distribution, and locking strength according to the wood condition, equipment operating conditions, and environmental conditions during operation, thereby achieving efficient, low-consumption, and non-rebound wood straightening operations.

[0029] like Figure 2As shown, the segmented elastic pressure plate mechanism 21 includes several elastic pressure plate units 2101 arranged along the wood axis. Each elastic pressure plate unit 2101 is independently connected to an adjustable spring stiffness mechanism 2102. The adjustable spring stiffness mechanism 2102 is connected to a servo motor drive arm 2104 via a piezoelectric ceramic push rod 2103. The other end of the servo motor drive arm 2104 is fixed to the longitudinal guide rail of the frame 1, so that each elastic pressure plate unit 2101 can conform to the curved surface of the wood and apply pressure accordingly, and the spring compression can be adjusted by the piezoelectric ceramic push rod 2103 to change the force stiffness. The backs of multiple elastic pressure plate units 2101 are connected to an integrated base plate. The integrated base plate slides with the worktable surface of the frame 1 via a slide rail and can move forward and backward as a whole along the width direction of the wood to adapt to wood with different cross-sectional dimensions. The heat and humidity coupling force application module 22 includes a heat-conducting substrate and an atomizing nozzle embedded in each elastic pressure plate unit 2101. The heat-conducting substrate is connected to the hot air duct array on the back of the frame 1. The air outlet of the hot air duct array faces the curved convex area of ​​each elastic pressure plate unit 2101. The air valve of the hot air duct array is controlled by the multi-source sensing and intelligent control unit 24, which can dynamically distribute the air volume according to the curvature distribution. The atomizing nozzle is connected to the water mist generator on the side of the frame 1 through the pipeline. The micro water droplets (particle size 50μm) generated by the water mist generator are transported to the atomizing nozzle of each elastic pressure plate unit 2101 through the pipeline to achieve uniform humidification of the wood surface. The combined action of the hot air duct array and the water mist generator forms a heat and humidity synergistic softening zone. The opening and closing of the air valve of the hot air duct array and the atomizing nozzle are controlled in real time by the multi-source sensing and intelligent control unit 24. The damping locking mechanism 23 includes a set of damping strips arranged along the back of the elastic pressure plate unit 2101. One end of the damping strip is hinged to the side of the integrated base plate, and the other end is connected to the damping adjuster on the side wall of the frame 1 through an electromagnetic latch. The damping adjuster has a built-in variable damping element that can dynamically set the damping coefficient according to the ambient cooling rate. When the pressure plate displacement reaches the target straightening position, the damping strip is locked by the electromagnetic latch. Its locking strength is adjusted in a closed loop by the multi-source sensing and intelligent control unit 24 based on the wood cooling rate fed back by the infrared thermal imager. The multi-source sensing and intelligent control unit 24 includes a laser profile scanner, a microwave moisture content sensor, an infrared thermal imager, and an environmental sensor group installed at the feeding end of the frame 1. The scanning plane of the laser profile scanner is perpendicular to the wood axis to obtain a bending distribution cloud map. The microwave moisture content sensor and the infrared thermal imager are respectively oriented from the surface layer to the heart layer of the wood to collect the moisture content gradient and the initial temperature field distribution. The environmental sensor group is fixed on the top of the frame 1 to monitor the temperature, humidity, and air pressure of the workshop in real time. The signal output terminals of the above sensors are all connected to the edge computing unit embedded inside the frame 1. The output terminal of the edge computing unit is connected to the wood mechanical property prediction model. The output terminal of the wood mechanical property prediction model forms a closed-loop control link with the segmented elastic pressure plate mechanism 21, the thermo-humidity coupling force application module 22, and the damping locking mechanism 23. After straightening is completed, it receives the detection data from the laser displacement sensor and the ultrasonic stress detector, and iteratively updates the model weights through reinforcement learning algorithms to achieve cross-scene adaptive optimization.

[0030] like Figure 3 , Figure 4 as well as Figure 5 As shown, the operation process of a wood straightening device for wooden furniture production is as follows: A laser profile scanner (accuracy ±0.02mm) scans along the wood axis at high speed to obtain a curvature distribution cloud map (including the radius of curvature, coordinates of the maximum deflection point, and bending direction); simultaneously, a microwave moisture sensor (penetration depth 5-10mm) and an infrared thermal imager are activated to collect the moisture content gradient from the wood surface to the heartwood (e.g., 18% moisture content in the heartwood and 15% in the surface of pine wood) and the initial temperature field distribution (22℃ on the wood surface when the ambient temperature is 25℃); an environmental sensor group (temperature, humidity, air pressure) monitors the workshop conditions in real time (e.g., humidity 60%RH, air pressure 101kPa) to obtain workshop environmental data. After preprocessing by the edge computing unit, all data is input into the wood mechanical property prediction model. This model integrates a database of wood species (e.g., inputting oak and mahogany labels), moisture content gradients, temperature fields, and bending morphology (pre-stored with 1000+ solid wood / hardwood straightening cases). It outputs the critical softening temperature of wood fibers (e.g., 120℃ for mahogany, 80℃ for pine), the elastic modulus decay curve, and theoretical force thresholds for different curvatures (e.g., 150N / cm² pressure for mahogany with a curvature radius of 50mm). This model not only quantifies the current state of the wood but also reveals cross-factor coupling patterns such as low softening temperature due to high moisture content and slow cooling rate due to high environmental humidity, forming a wood-equipment-environment collaborative characteristic map to guide subsequent adjustments.

[0031] Describe the relationship between moisture content, ambient temperature, and softening critical temperature, and calculate using a linear model example combining curvature and applied force threshold: Let the critical temperature for softening wood fibers be... Subject to water content M (mean of core and surface layers, in %) and ambient temperature The effect of (°C) is shown by the empirical formula: ,in The reference softening temperature is the temperature at which rosewood is dried. ℃, ℃ is the baseline moisture content and ambient temperature. ℃ / %, indicating that the softening temperature decreases by 0.5℃ for every 1% increase in moisture content. ℃ / %, indicates that the softening temperature decreases by 0.2℃ for every 1℃ increase in ambient temperature. Given a piece of redwood with a heartwood moisture content of 18% and a surface layer moisture content of 15%, then... Ambient temperature ℃, substituting it in, we can get Considering the synergistic effect of humidity and heat (atomized humidification lowers the threshold by 1596-2096), the actual required temperature is approximately ℃, combined with the curvature and force threshold model , Reference radius of curvature (where R is the measured radius of curvature). If the radius of curvature of a certain section of rosewood is R = 50 mm, then... The case value is 150 N / cm. 2 The close proximity confirms the coupling law revealed by the model, which states that high moisture content leads to low softening temperature and small curvature leads to high force requirements, and provides a quantitative basis for the precise adaptive adjustment of hot air temperature and pressure plate.

[0032] Based on the temperature difference between the critical softening temperature of wood fibers and the ambient temperature in the collaborative feature map (e.g., 120℃ for mahogany, 25℃ for the ambient temperature, a temperature difference of 95℃), the intelligent air valves of the hot air duct array automatically adjust the air volume of each air outlet (the air volume below the pressure plate corresponding to the maximum curvature increases by 30%), ensuring that heat is focused on the curved convex fiber layer (avoiding overall overheating and cracking). At the same time, micro water droplets (50μm in diameter, humidity controlled at ±2% of the wood's equilibrium moisture content) are sprayed synchronously through atomizing nozzles, using the synergistic effect of heat and humidity to reduce the softening temperature threshold (15%-20% lower than simple heating), achieving adaptive heat and humidity coupling for on-demand heating and humidification. Secondly, when the servo motor drives the segmented elastic pressure plate mechanism 21 (each pressure plate is independently connected to a spring stiffness adjustable mechanism) to apply force, based on the theoretical force threshold output by the wood mechanical property prediction model and the deviation of the actual curvature (such as the scanning finding that the actual curvature of a certain section is 5% larger than the prediction), the spring preload is dynamically adjusted (by adjusting the spring compression amount through the piezoelectric ceramic push rod 2103) and the servo motor torque (compensation is triggered when the error exceeds 3%), so that the pressure distribution is completely matched with the wood curvature. For example, for softwood (pine) with low elastic modulus, the pressure plate pressure is reduced from the preset 120N / cm² to 90N / cm² to avoid crushing the fibers; for hardwood (mahogany), the force is precisely applied at 150N / cm² to prevent insufficient force from causing incomplete straightening. Finally, when the pressure plate displacement reaches the target straightening position, the damping locking mechanism 23 does not directly and rigidly lock, but dynamically sets the damping coefficient according to the ambient cooling rate (the cooling rate of the wood surface is monitored in real time by an infrared thermal imager, such as a cooling rate of 0.5℃ / s when the ambient humidity is 60%): if the cooling is slow (such as in a winter workshop), the damping is increased to maintain the pressure until the temperature of the core layer drops below 50℃ (the fiber is completely hardened); if the cooling is fast (such as when the air conditioner is on in summer), the damping is reduced to avoid a sudden drop in pressure that could cause a rebound, thus achieving dynamic matching of pressure maintenance and cooling process.

[0033] The heat focusing control of thermal-humidity coupling can be described by the airflow distribution coefficient formula: the airflow at a certain pressure plate position Qi = Q0 × [1 + α·(Ci-Cavg)], where Q0 is the reference airflow (e.g., 100m³ / h). 3 / h), Ci is the ratio of the curvature at that point to the maximum curvature, Cavg is the average curvature ratio of the entire section, α=0.3 indicates that the airflow increases by 30% at the point of maximum curvature. Assuming that the ratio of curvature to maximum curvature at a certain redwood section is Ci=1.0 and the average curvature ratio Cavg=0.7, then Qi=100×[1+0.3×(1.0-0.7)]=109m 3 / h, ensuring that heat is concentrated on the curved convex surface.

[0034] The decrease in softening temperature due to synergistic effects of moisture and heat can be represented by Ts_wet = Ts × (1-β), where β = 0.175 (taking the median value of 15%~20%). Based on the aforementioned calculations, Ts ≈ 126.75℃ for mahogany, therefore Ts_wett ≈ 126.75 × 0.825 ≈ 104.6℃. Regarding force matching, the theoretical force threshold Fa and the actual radius of curvature Rp satisfy... Where Ft = 150 N / cm 2 (Based on rosewood), predicted radius of curvature Rt = 50mm. =1 is the full error compensation coefficient. If the actual radius of curvature Rp obtained from the scan is 52.5mm (5% larger than the prediction), then Fa = 150 × [1 + 1 × (52.5 - 50) / 50] = 150 × 1.05 = 157.5 N / cm 2 If the system compares and determines that the deviation exceeds 3%, it will trigger the servo motor torque compensation to ensure that the pressure of the pressure plate falls precisely within the target range.

[0035] The damping coefficient is set based on the relationship between the cooling rate vc (℃ / s) and the required holding time tm. The damping coefficient D is calculated as D = D0 × (vc_ref / vc), where D0 is the reference damping coefficient (e.g., 100 Ns / m), vc_ref = 0.5℃ / s. If the measured vc in winter is 0.25℃ / s, then D = 100 × (0.5 / 0.25) = 200 N·s / m, increasing the damping to maintain pressure until the center layer is ≤50℃. In summer, when vc = 0.8℃ / s, D = 100 × (0.5 / 0.8) = 62.5 N·s / m, decreasing the damping to prevent rebound. The above formulas and values ​​fully reflect the quantitative control logic from heat distribution, softening temperature reduction, force compensation to damping self-adaptation, achieving dynamic matching of pressure, temperature, and cooling.

[0036] After straightening is completed, the device automatically switches to pressure monitoring mode. The laser displacement sensor continuously tracks the rebound amount of key cross-sections of the wood (such as the original maximum deflection point) (sampling frequency 10Hz), while the ultrasonic stress detector (penetration depth 20mm) scans the distribution of residual stress inside the wood (e.g., the stress concentration area of ​​hardwood after straightening should be ≤5MPa). If the rebound amount exceeds 1% (or the stress exceeds the standard), the scan data and adjustment parameters (such as the hot air distribution ratio and the pressure curve) are immediately reviewed. The root cause of the deviation is located through reinforcement learning algorithm. For example, it is found that a batch of rosewood has an abnormal moisture content gradient (16% for the surface layer and 20% for the heart layer), which leads to a lower predicted softening temperature. Although the hot air temperature reaches 120℃, the heart layer is not sufficiently softened, resulting in local rebound after straightening. At this time, the wood mechanical property prediction model automatically updates the correlation weight of moisture content and softening temperature for this tree species.

[0037] Simulated reinforcement learning for weight adjustments in the moisture content-softening temperature relationship: Define rebound rate ,in The instantaneous deflection (mm) when the pressure plate is locked in place. The residual deflection measured after the pressure holding period is complete. =10.0mm =10.12mm, then Rb=-1.2% (the negative sign indicates a rebound, and the absolute value of 1.2%>1% triggers correction). Meanwhile, the residual stress is determined using the ultrasonic propagation velocity difference method σ=K·Δv, where K=0.1MPa / (m / s) (calibration coefficient). The measured sound velocity in the stress concentration area is slower than that in the stress-free area by Δv=55m / s, so σ=0.1×55=5.5MPa>5MPa, which also triggers the correction.

[0038] Retrospective analysis revealed that the surface moisture content of this batch of rosewood was Ms=16%, and the heartwood moisture content was Mc=20%, with a mean M=(16+20) / 2=18%. The original training model had a mean of Mrain=15% and an original weight w1=0.5 (the influence coefficient of moisture content on softening temperature). The softening temperature prediction formula was Ts=Ts0-w1(M-M0), where Ts0=130℃ and M0=12%. The original model calculated Ts=130-0.5×(18-12)=127℃, but due to the high moisture content in the heartwood and the delayed temperature rise, the effective softening temperature only reached 120℃, with a deviation ΔT=7℃. The reinforcement learning algorithm uses the minimum sum of squared deviations as its objective function E=(Ts_pred-Ts_real). 2 Ts_pred is the predicted critical temperature for wood fiber softening, and Ts_real is the actual critical temperature for wood fiber softening. The weights are adjusted to... ( (learning rate η=0.01) Therefore (After taking the positive value constraint, the reasonable correction value is 0.68), after the update To be closer to reality, the system adds the batch of moisture content-softening temperature samples to the database, and when straightening similar rosewood in the next time, it increases the hot air temperature threshold from 120℃ to 120+(127-120)×0.8≈125.6℃, and increases the proportion of microwave heating power in the core layer (from 30% to 40%), thereby eliminating the local rebound caused by abnormal moisture content gradient, realizing the adaptive evolution of model weights and continuous improvement of straightening success rate.

[0039] In the description of this specification, references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0040] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A wood straightening device for wooden furniture production, comprising a frame (1) and a straightening execution component (2), characterized in that: The straightening execution component (2) is installed on the workbench of the frame (1) and is used to automatically adjust the linkage of heat and humidity parameters, force distribution and locking strength according to the wood condition, equipment condition and environmental conditions during operation, so as to perform heat and humidity coupling straightening and locking shaping on the wood.

2. The wood straightening device for wooden furniture production according to claim 1, characterized in that: The straightening execution component (2) includes a segmented elastic pressure plate mechanism (21), a thermal and wet coupling force application module (22), a damping locking mechanism (23), and a multi-source sensing and intelligent control unit (24).

3. The wood straightening device for wooden furniture production according to claim 2, characterized in that: The segmented elastic pressure plate mechanism (21) includes several elastic pressure plate units (2101) arranged along the wood axis. Each elastic pressure plate unit (2101) is independently connected to an adjustable spring stiffness mechanism (2102). The adjustable spring stiffness mechanism (2102) is connected to a servo motor drive arm (2104) through a piezoelectric ceramic push rod (2103). The other end of the servo motor drive arm (2104) is fixed on the longitudinal guide rail of the frame (1), so that each elastic pressure plate unit (2101) conforms to the curved surface of the wood and applies pressure accordingly. The spring compression is adjusted by the piezoelectric ceramic push rod (2103) to change the force stiffness. The backs of multiple elastic pressure plate units (2101) are connected to an integrated base plate. The integrated base plate is slidably connected to the worktable of the frame (1) through a slide rail and is driven by the servo motor drive arm (2104) to move along the width direction of the wood.

4. The wood straightening device for wooden furniture production according to claim 3, characterized in that: The heat and moisture coupling force application module (22) includes a heat-conducting substrate and an atomizing nozzle embedded in each elastic pressure plate unit (2101). The heat-conducting substrate is connected to the hot air pipe array on the back of the frame (1). The air outlet of the hot air pipe array is directly facing the curved convex area of ​​each elastic pressure plate unit (2101). The air valve of the hot air pipe array is controlled by the multi-source sensing and intelligent control unit (24). The atomizing nozzle is connected to the water mist generating device on the side of the frame (1) through the pipe. The water droplets generated by the water mist generating device are transported to the atomizing nozzle of each elastic pressure plate unit (2101) through the pipe to uniformly humidify the wood surface. The combined action of the hot air pipe array and the water mist generating device forms a humid and heat synergistic softening zone.

5. A timber straightening device for wooden furniture production according to claim 4, characterized in that: The damping locking mechanism (23) includes a damping strip provided along the back of the elastic pressure plate unit (2101). One end of the damping strip is hinged to the side of the integrated base plate, and the other end is connected to the damping adjuster on the side wall of the frame (1) through an electromagnetic latch. The damping adjuster has a built-in variable damping element that can dynamically set the damping coefficient according to the ambient cooling rate. The damping strip is locked by the electromagnetic latch when the pressure plate displacement reaches the target straightening position.

6. A timber straightening device for wooden furniture production according to claim 5, characterized in that: The multi-source sensing and intelligent control unit (24) includes a laser profile scanner, a microwave moisture content sensor, an infrared thermal imager and an environmental sensor group installed at the feed end of the frame (1). The scanning plane of the laser profile scanner is perpendicular to the wood axis and is used to obtain the curvature distribution cloud map. The microwave moisture content sensor and the infrared thermal imager are respectively oriented towards the wood surface to the heart layer to collect the moisture content gradient and the initial temperature field distribution. The environmental sensor group is fixed on the top of the frame (1) to monitor the workshop temperature, humidity and air pressure in real time.

7. A wood straightening device for wooden furniture production according to claim 6, characterized in that: The operation of the straightening device includes the following steps: After the straightening device acquires multi-source data of wood, it inputs it into the wood mechanical property prediction model. The wood mechanical property prediction model outputs the critical temperature for softening wood fibers, the elastic modulus decay curve, and the theoretical force threshold under different curvatures based on the multi-source data, forming a collaborative feature map. Based on the difference between the critical softening temperature of wood fiber and the ambient temperature in the collaborative feature map, the heat and humidity coupling force module (22) automatically adjusts the air volume of each air outlet and sprays water droplets synchronously through the atomizing nozzle, thereby reducing the softening temperature threshold by utilizing the synergistic effect of heat and humidity. When the segmented elastic pressure plate mechanism (21) driven by the servo motor applies force, the spring preload and servo motor torque are dynamically adjusted based on the deviation between the theoretical force threshold output by the wood mechanical properties prediction model and the actual bending degree. When the pressure plate displacement reaches the target straightening position, the damping locking mechanism (23) dynamically sets the damping coefficient according to the ambient cooling rate; After straightening is completed, the multi-source sensing and intelligent control unit (24) continuously tracks the rebound amount of the key cross section of the wood and scans the distribution of residual stress inside the wood. If the rebound amount is detected to exceed the rebound amount threshold, the data and adjustment parameters are back-scanned, and the root cause of the deviation is located through reinforcement learning algorithm. The correlation weight of tree species moisture content and softening temperature in the wood mechanical property prediction model is automatically updated.

8. A wood straightening device for wooden furniture production according to claim 7, characterized in that: The steps for the straightening device to acquire multi-source data on timber include: A curvature distribution cloud map is obtained by scanning along the axial direction of the wood using a laser profile scanner; Start the microwave moisture sensor and infrared thermal imager to collect the moisture content gradient and initial temperature field distribution from the surface layer to the heart layer of the wood, respectively. The environmental sensor array monitors the workshop conditions in real time and acquires workshop environmental data.

9. A wood straightening device for wooden furniture production according to claim 7, characterized in that: The damping locking mechanism (23) dynamically sets the damping coefficient according to the ambient cooling rate, including the following steps: If cooling is slow, increase damping to maintain pressure until the core layer temperature drops below the temperature threshold. If cooling is rapid, damping is reduced to avoid rebound, thus achieving dynamic matching between pressure maintenance and the cooling process.

10. A wood straightening device for wooden furniture production according to any one of claims 7-9, characterized in that: When the pressure plate displacement reaches the target straightening position, the damping locking mechanism (23) dynamically sets the damping coefficient according to the ambient cooling rate. The damping coefficient D is calculated as follows: D = D0 × (vc_ref / vc), where D0 is the reference damping coefficient, vc_ref is the reference cooling rate, and vc is the current cooling rate.

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