High-precision wood cutting saw blade system based on self-adaptive electromagnetic control

Abstract

The invention relates to a high-precision wood cutting saw blade system based on self-adaptive electromagnetic control. The system comprises a saw blade body, an embedded conductive loop, a composite material layer, a non-magnetic supporting outer layer, an external magnetic field control device and a control system. The saw blade body is of a double-layer composite structure, the inner layer is a ferromagnetic particle reinforced polymer composite material, a copper alloy conductive loop packaged in an insulating material is embedded in the inner layer, and the outer layer is a non-magnetic supporting layer with a hollow structure and is used for improving the penetration rate of a magnetic field. The control system collects saw blade vibration, temperature and deformation data based on a non-contact sensor, adjusts magnetic field parameters generated by an external electromagnetic device in real time through a self-adaptive PID and fuzzy logic control algorithm, controls local rigidity of a composite material layer, and achieves effective suppression of saw blade vibration and thermal deformation. The precision, efficiency and stability of wood cutting are improved, and the wood cutting device is particularly suitable for efficient machining of high-end furniture, building boards and wood of a complex structure.

Description

Technical Field

[0001] The present invention belongs to the technical field of wood processing equipment, and specifically relates to a high-precision wood cutting saw blade system based on adaptive electromagnetic control. Background Art

[0002] Wood cutting is one of the core processes in industries such as furniture manufacturing, architectural decoration, floor processing, and board splicing. In the process of high-efficiency and mass woodworking production, the cutting performance of the saw blade directly determines the accuracy, surface quality, and material utilization rate of the processed products. Traditional wood cutting saw blades are usually made entirely of high-speed steel or cemented carbide, with fixed structural rigidity and homogeneous materials, which can meet the basic use requirements under low-speed or uniform load conditions. However, with the diversification of wood species, the improvement of cutting accuracy, and the development of automated equipment, traditional saw blades have exposed many deficiencies under high-speed and complex load conditions.

[0003] Specifically, the following are the main problems in the prior art:

[0004] Vibration and noise are difficult to control: When cutting hard wood or encountering uneven structures such as knots and resin blocks, the saw blade is prone to high-frequency vibration and instantaneous yaw, resulting in rough cuts, obvious tool marks, and even edge cracking in severe cases, affecting the quality and processing accuracy of the finished product.

[0005] Rigid fixation cannot adapt to complex working conditions: The stiffness of traditional saw blades cannot be adjusted. When facing woods with uneven hardness, high moisture content, or sudden density changes, over-cutting, jamming, or burning are likely to occur, which not only reduces the processing efficiency but also exacerbates the wear of the saw blade.

[0006] Heat accumulation leads to material degradation: A large amount of frictional heat is generated during the high-speed cutting process, and the temperature of the saw blade teeth rises rapidly. If heat dissipation is not timely, it is easy to cause material annealing, warping, or fracture, thereby shortening the service life of the saw blade and increasing the maintenance cost.

[0007] Low level of intelligence, relying on manual adjustment: Currently, most saw blades still adopt passive vibration damping structures (such as damping grooves, additional damping sheets, etc.), lacking real-time regulation capabilities; at the same time, the monitoring of cutting conditions and parameter adjustment mostly rely on the experience of operators, unable to achieve closed-loop control or remote maintenance, and not meeting the requirements of modern digital and intelligent production.

[0008] In the existing technology, although some studies have tried to introduce composite materials, surface strengthening coatings, or static stress control ring structures on the saw blade to improve its anti-vibration performance and heat dissipation ability, most of them still belong to static designs and lack in-depth exploration of the "real-time rigidity adjustment ability during the processing process" and the "dynamic adaptive control mechanism".

[0009] Therefore, there is an urgent need for a high-performance wood cutting saw blade that has electromagnetic response capabilities in terms of structure, intelligent adjustment functions in terms of control, and state perception and fault tolerance capabilities in terms of the system, in order to meet the urgent needs of the current high-end manufacturing industry for efficient, precise, and intelligent processing. Summary of the Invention

[0010] The purpose of the present invention is to disclose a high-precision wood cutting saw blade system based on adaptive electromagnetic control. The present invention not only realizes the leap of the saw blade body from "rigid fixation" to "magnetic control compliance" at the structural level, but also demonstrates technological progressiveness and engineering application value in multiple aspects such as control strategy, sensing perception, cooling management, and intelligent operation and maintenance. It is particularly suitable for industrial occasions such as high-end furniture manufacturing, automated woodworking production lines, and precision sheet cutting, and has broad market prospects and promotion potential.

[0011] The technical solution adopted by the present invention is as follows: A high-precision wood cutting saw blade system based on adaptive electromagnetic control includes a saw blade body, an embedded conductive circuit, a composite material layer, a non-magnetic support outer layer, an external magnetic field control device, and a control system.

[0012] Among them: The saw blade body is a double-layer composite structure. The inner layer is a polymer composite material layer reinforced with ferromagnetic particles, and an annular conductive circuit is embedded therein.

[0013] The outer layer is a non-magnetic support outer layer made of non-magnetic stainless steel or high-strength aluminum alloy, covering the outside of the composite material layer.

[0014] The conductive circuit is located in a groove provided inside the composite material layer and is encapsulated by an insulating material.

[0015] The external magnetic field control device is arranged outside the saw blade body and is used to generate a magnetic field perpendicular to the saw blade surface and act on the conductive circuit to form an induced current, thereby adjusting the local rigidity of the composite material layer.

[0016] The control system is signal-connected to a sensor and controls the external magnetic field control device to adjust the magnetic field strength and direction in real time to achieve adaptive rigidity adjustment and vibration suppression of the saw blade.

[0017] Among them, the conductive circuit is a copper alloy wire, encapsulated in an insulating resin or ceramic coating, and the encapsulation method is a vacuum impregnation process.

[0018] Among them, the ferromagnetic particles of the composite material layer include Fe-Ni, Fe-Co, or rare earth magnetic powder materials, and the particle size range is...~μm.

[0019] Among them, the non-magnetic support outer layer is provided with a plurality of window openings or hollowed-out structures to improve the penetration effect of the external magnetic field on the embedded wires.

[0020] Among them, it also includes a non-contact sensor assembly arranged in cooperation with the saw blade. The sensors include a laser vibrometer, an infrared temperature sensor, and an optical displacement sensor.

[0021] Among them, the sensor assembly is installed on a fixed bracket close to the saw blade and communicates with the control system in real time through industrial Ethernet.

[0022] Among them, the control system is configured with an adaptive algorithm combining PID control and fuzzy logic control, and can dynamically adjust electromagnetic parameters according to the vibration frequency.

[0023] Among them, heat-conducting channels are provided in the saw blade composite structure, and heat dissipation is carried out through an external air-cooling or liquid-cooling system to prevent the saw blade from overheating and deforming.

[0024] Among them, the saw blade, the electromagnetic control device, and the sensor assembly adopt a modular structure design and can be quickly disassembled, assembled, and maintained through a standardized mechanical locking interface; the control system is connected to a cloud monitoring platform, supporting remote monitoring, alarm, and augmented reality visualization operation and maintenance functions.

[0025] Among them, the control method of the saw blade includes the following steps:

[0026] Collect vibration, temperature, and deformation information of the saw blade through non-contact sensors; the control system performs feature extraction and vibration analysis on the collected data, and calculates magnetic field parameters based on the adaptive PID and fuzzy logic algorithms; an external electromagnetic control device generates a magnetic field perpendicular to the surface of the saw blade and acts on the embedded conductive circuit to form an induced current to adjust the local rigidity of the composite material layer; the control system performs real-time correction based on the feedback data to achieve closed-loop control; when the temperature exceeds the set threshold, the cooling system is automatically started for heat dissipation; at the same time, it supports uploading operation data to the cloud platform for remote diagnosis and control strategy optimization.

[0027] The beneficial effects of the present invention include:

[0028] A high-precision wood cutting saw blade system based on adaptive electromagnetic control provided by the present invention forms a magneto-induced rigidity adjustment mechanism that can be adjusted in real time by constructing a circular conductive circuit inside the saw blade and combining an external controllable magnetic field, breaking through technical bottlenecks such as the fixed rigidity of the traditional saw blade structure, difficult vibration control, and easy interference with cutting quality. The system dynamically adjusts the magnetic field to act on the embedded conductive structure in the saw blade according to data such as vibration, temperature, and displacement collected by non-contact sensors, and stimulates the response of magnetic particles in the composite material layer, so as to realize rapid adjustment of the cutting area stiffness in the range of 20-80 GPa, effectively adapting to the cutting requirements of different wood species and structures.

[0029] Compared with traditional methods that rely on mechanical structures, passive vibration damping, or enhanced material rigidity, the present invention demonstrates superior response speed and adaptability when dealing with complex cutting scenarios (such as knotty wood, high-frequency cutting of thin plates, sudden thermal shock, etc.). Experiments have proven that during the continuous cutting of hard woods with a relatively high moisture content such as red oak, this system can reduce the vibration amplitude from 0.18 mm to 0.07 mm within 200 milliseconds, and the vibration energy attenuation rate exceeds 75%, significantly improving the surface finish and dimensional accuracy of the machining.

[0030] In addition, by optimizing the outer structure of the saw blade, using non-magnetic materials and providing a hollow array, the present invention greatly improves the magnetic field penetration efficiency, enabling the external electromagnetic device to effectively act on the embedded wires in the saw blade and avoiding the problem of magnetic flux shielding. At the same time, the system adopts a composite control method combining fuzzy logic and variable-gain PID control algorithms, which can automatically switch strategies according to the vibration characteristics in different frequency ranges, realizing intelligent identification and adjustment of modal vibrations in the range of 0.1 - 5 kHz. The control period reaches 5 ms, and the response delay is less than 1 ms, with extremely high real-time performance.

[0031] In terms of temperature management, the present invention is equipped with radial heat-conducting channels inside the saw blade, which are used in conjunction with a liquid cooling system, and an infrared sensor is used to form a hierarchical thermal control mechanism. When the temperature exceeds the threshold, the system can automatically switch between air cooling and liquid cooling modes, supplemented by magnetic field reconstruction means, to avoid degradation caused by continuous magnetic excitation in high-temperature areas, achieving stable control of the overall machine temperature with a fluctuation of ±5°C, and significantly extending the service life of the saw blade.

[0032] Furthermore, the present invention is equipped with a cloud platform and an AR visualization maintenance system, which can identify and train historical cutting data based on a deep learning model, intelligently push optimization suggestions for control strategies, and support maintenance personnel to observe the internal stress, current, and state changes of the saw blade in real time through an augmented reality terminal, realizing predictive maintenance and remote diagnosis functions. Especially in scenarios with high requirements for production rhythm continuity, it has strong intelligent operation and maintenance and fault tolerance capabilities.

[0033] In summary, the present invention not only realizes the leap of the saw blade body from "rigid fixation" to "magnetically controlled compliance" at the structural level, but also demonstrates technological progressiveness and engineering application value in multiple aspects such as control strategies, sensing perception, cooling management, and intelligent operation and maintenance. It is particularly suitable for industrial occasions such as high-end furniture manufacturing, automated woodworking production lines, and precision sheet cutting, and has broad market prospects and promotion potential. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 is a schematic structural diagram of the saw blade system of the present invention;

[0035] Figure 2 is an axial partial sectional view schematic diagram of the saw blade body of the present invention;

[0036] Figure 3 It is a schematic radial cross-sectional view of the saw blade body of the present invention;

[0037] Figure 4 It is a schematic flow chart of the control method of the present invention.

[0038] In the figure, 1 is the saw blade body; 2 is the embedded conductive circuit; 3 is the composite material layer; 4 is the non-magnetic support outer layer; 5 is the external magnetic field control device; 6 is the control system. Specific embodiments

[0039] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0040] See Figures 1 to 3 , a high-precision wood cutting saw blade system based on adaptive electromagnetic control, including a saw blade body 1, an embedded conductive circuit 2, a composite material layer 3, a non-magnetic support outer layer 4, an external magnetic field control device 5 and a control system 6,

[0041] Among them: the saw blade body 1 is a double-layer composite structure, the inner layer is a polymer composite material layer 3 reinforced with ferromagnetic particles, and an annular conductive circuit 2 is embedded therein; the conductive circuit 2 is a copper alloy wire, encapsulated in an insulating resin or ceramic coating, and the encapsulation method is a vacuum impregnation process. The ferromagnetic particles of the composite material layer 3 include Fe-Ni, Fe-Co or rare earth magnetic powder materials, and the particle size range is 0.1-10 μm.

[0042] The outer layer is a non-magnetic support outer layer 4 made of non-magnetic stainless steel or high-strength aluminum alloy, covering the outside of the composite material layer 3; the non-magnetic support outer layer 4 is provided with a plurality of window openings or hollow structures to improve the penetration effect of the external magnetic field on the embedded wire.

[0043] The conductive circuit 2 is located in a groove provided inside the composite material layer and is encapsulated by an insulating material;

[0044] The external magnetic field control device 5 is arranged outside the saw blade body 1, and is used to generate a magnetic field perpendicular to the surface of the saw blade and act on the conductive circuit 2 to form an induced current so as to adjust the local rigidity of the composite material layer;

[0045] The control system 6 is signal-connected to the sensor and controls the external magnetic field control device 5 to adjust the magnetic field strength and direction in real time to achieve the adaptive rigidity adjustment and vibration suppression of the saw blade. The control system is configured with an adaptive algorithm based on the combination of PID control and fuzzy logic control, and can dynamically adjust the electromagnetic parameters according to the vibration frequency.

[0046] Furthermore, the system also includes a non-contact sensor assembly arranged in coordination with the saw blade. The sensors include a laser vibrometer, an infrared temperature sensor, and an optical displacement sensor. The sensor assembly is installed on a fixed bracket close to the saw blade and communicates with the control system in real time through an industrial Ethernet network.

[0047] Furthermore, heat dissipation channels are provided in the saw blade composite structure, and heat dissipation is achieved through an external air-cooling or liquid-cooling system to prevent the saw blade from overheating and deforming.

[0048] Furthermore, the saw blade, the electromagnetic control device, and the sensor assembly adopt a modular structure design and can be quickly disassembled, assembled, and maintained through a standardized mechanical locking interface; the control system is connected to a cloud monitoring platform, supporting remote monitoring, alarm, and augmented reality visualization operation and maintenance functions.

[0049] Furthermore, referring to Figure 4 , the control method of the saw blade includes the following steps:

[0050] Collect vibration, temperature, and deformation information of the saw blade through non-contact sensors; the control system extracts features and performs vibration analysis on the collected data, and calculates magnetic field parameters based on the adaptive PID and fuzzy logic algorithms; the external electromagnetic control device generates a magnetic field perpendicular to the surface of the saw blade and acts on the embedded conductive circuit, forming an induced current to adjust the local rigidity of the composite material layer; the control system performs real-time correction based on the feedback data to achieve closed-loop control; when the temperature exceeds the set threshold, automatically start the cooling system for heat dissipation; at the same time, support uploading operation data to the cloud platform for remote diagnosis and optimization of control strategies.

[0051] Specifically, as Figures 1 to 4 shown, the high-precision wood cutting saw blade adopts a double-layer composite structure. The inner layer of the saw blade body 1 is a polymer composite material layer 3 reinforced with ferromagnetic particles, with a thickness of 2-5 mm. Annular grooves are pre-machined in this layer, and a conductive circuit 2 composed of copper alloy wires is embedded, with a wire diameter of 0.5-1.2 mm. The outer layer of the conductive circuit is a non-magnetic support layer 4, which is laser cut from 304 stainless steel with a thickness of 1.5 mm, and a honeycomb-shaped hollow array with a diameter of 3 mm is opened on the surface, and the hollow ratio is 30% to enhance the magnetic field penetration.

[0052] The ferromagnetic particles are selected as Fe-Co alloy (mass fraction 45%), with a particle size distribution of 0.5-8 μm, and are uniformly dispersed in a polyether ether ketone (PEEK) matrix. The particles are surface-treated with a silane coupling agent to improve the interfacial bonding strength. The elastic modulus of the composite material layer 3 can achieve a dynamic change of 20-80 GPa through magnetic field regulation.

[0053] The external magnetic field control device 5 is composed of 8 sets of annular electromagnetic coils, which are evenly distributed 10 cm away from the periphery of the saw blade. Each set of coils is energized with a 0 - 50 A pulse-width modulated current to generate a perpendicular magnetic field of 0.1 - 1.2 T. The control system 6 uses an ARM Cortex-M7 processor and is connected to a laser vibrometer (accuracy ±0.01 mm / s) and an infrared thermal imager (temperature measurement range 0 - 200 °C) on the fixed bracket through an industrial Ethernet. The sampling frequency of the sensor is set to 10 kHz to continuously monitor the axial vibration, radial deformation, and tooth temperature of the saw blade.

[0054] The system is built-in with a composite control algorithm: when high-frequency vibrations above 200 Hz are detected, the PID control module is preferentially activated to increase the stiffness of the composite material by 60% through magnetic field gradient adjustment; for low-frequency random vibrations, the fuzzy logic control is switched, and the membership function is used to dynamically adjust the magnetic flux phase angle, with an inhibition amplitude of up to 75%. The control period is 5 ms, and the response delay < 1 ms.

[0055] The saw blade body is provided with 12 radial heat conduction channels (width 1 mm, depth 2 mm), which are connected to the external liquid cooling system. When the infrared sensor detects that the tooth temperature exceeds 80 °C, the control system automatically starts the ethylene glycol circulation pump (flow rate 5 L / min) to control the temperature within a fluctuation range of ±5 °C in cooperation with the aluminum nitride heat sink. The support layer is connected by a quick-release flange and can be replaced within 30 seconds through the HSK63 mechanical interface. The electromagnetic coil group is a plug-in module and can be hot-swapped online when a single fault occurs.

[0056] The cloud monitoring platform deploys an LSTM neural network to perform in-depth learning on the historical vibration spectrum and regularly push optimization plans for control parameters. Maintenance personnel can use AR glasses to view the internal current distribution and stress field of the saw blade transparently to achieve predictive maintenance.

[0057] Implementation process of the control method

[0058] Data acquisition: The laser vibrometer captures the three-dimensional vibration signal of the saw blade in real time, and synchronously acquires the temperature field distribution and the tooth tip displacement;

[0059] Feature extraction: Analyze the vibration spectrum by FFT, extract the first 6 order modal parameters in the frequency band of 0.1 - 5 kHz, and calculate the resonance risk index;

[0060] Decision operation: When |vibration displacement| > 0.1 mm, activate the fuzzy-PID hybrid controller; use the fuzzy rule base (49 if-then rules) to calculate the magnetic flux compensation amount for components below 500 Hz; use variable gain PID (Kp = 2.5, Ki = 0.8, Kd = 0.3) to output for high-frequency components;

[0061] Magnetic field generation: The inverter converts the control signal into a three-phase PWM wave to drive the electromagnetic coil to generate a rotating magnetic field;

[0062] Rigid adjustment: The induced current generates a Lorentz force between Fe-Co particles, increasing the degree of orientation of polymer chains and enhancing the local Young's modulus.

[0063] Closed-loop feedback: Compare the vibration RMS values before and after adjustment, and automatically switch the control strategy when the attenuation rate < 60%.

[0064] Thermal protection: Hierarchical response when the temperature exceeds the limit: start air cooling at 80°C, enable liquid cooling + reduce speed by 20% at 100°C, and perform emergency braking at 120°C.

[0065] This implementation method realizes real-time domain control of the saw blade stiffness through electromagnetic-mechanical coupling, and the vibration suppression efficiency is more than 3 times higher than that of traditional saw blades, especially suitable for precision machining of hardwood with a moisture content of 15%-20%.

[0066] Case of the system working process:

[0067] 1. Continuous cutting of hardwood (red oak, moisture content 15%):

[0068] Detection: The main vibration frequency is 120 Hz, and the amplitude is 0.18 mm; the tooth tip temperature is 85°C.

[0069] Response: The fuzzy controller matches the rules, reduces the proportional coefficient by 10%, and increases the integral coefficient by 8%. The electromagnetic coil outputs a pulsed magnetic field of 0.5 Tesla (frequency 120 Hz, duty cycle 70%). The liquid cooling flow rate is increased from 5 L / min to 7 L / min.

[0070] Effect: The vibration amplitude drops to 0.07 mm within 200 ms, and the temperature stabilizes at 83 ± 2°C.

[0071] 2. Knot impact (pine with resin knots):

[0072] Abnormal detection: The instantaneous amplitude is 0.35 mm, and the main frequency is 320 Hz + high-frequency harmonics.

[0073] Emergency response: The magnetic field strength is instantly increased to 1.0 Tesla, and the stiffness is increased to 80 GPa. The dedicated high-frequency PID parameters are activated (proportional coefficient 3.8, integral coefficient 0.2, derivative coefficient 1.1). The liquid cooling flow rate is increased to 12 L / min, and the temperature is reduced to 92°C within 20 s.

[0074] Recovery: The vibration energy is reduced by 81% within 500 ms, and the saw blade returns to the normal mode.

[0075] 3. Precision cutting of thin plates (birch, thickness 5 mm):

[0076] Optimization strategy: For high-frequency noise of 2000 - 5000 Hz, generate a 0.3 Tesla steady magnetic field superimposed with a 0.05 Tesla high-frequency modulated magnetic field. Predict the deformation based on temperature, and compensate for thermal expansion with the reverse magnetic field gradient.

[0077] Effect: The surface roughness is improved from 2.4 microns to 0.6 microns, and the dimensional tolerance is ±0.03 mm.

[0078] The above are only the preferred embodiments of the present invention, and are not intended to limit the present invention. Any modifications, equivalent replacements, and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A high-precision wood cutting saw blade system based on adaptive electromagnetic control, characterized in that, It includes a saw blade body (1), an embedded conductive circuit (2), a composite material layer (3), a non-magnetic support outer layer (4), an external magnetic field control device (5) and a control system (6). Among them: The saw blade body (1) is a double-layer composite structure. The inner layer is a polymer composite material layer (3) reinforced with ferromagnetic particles, and an annular conductive circuit (2) is embedded therein. The outer layer is a non-magnetic support outer layer (4) made of non-magnetic stainless steel or high-strength aluminum alloy, covering the outside of the composite material layer (3). The conductive circuit (2) is located in a groove provided inside the composite material layer and is encapsulated by an insulating material. The external magnetic field control device (5) is arranged outside the saw blade body (1) and is used to generate a magnetic field perpendicular to the saw blade surface and act on the conductive circuit (2) to form an induced current so as to adjust the local rigidity of the composite material layer. The control system (6) is signal-connected to the sensor and controls the external magnetic field control device (5) to adjust the magnetic field strength and direction in real time to realize the adaptive rigidity adjustment and vibration suppression of the saw blade.

2. The system according to claim 1, wherein The conductive circuit (2) is a copper alloy wire, encapsulated in an insulating resin or ceramic coating, and the encapsulation method is a vacuum impregnation process.

3. The system according to claim 1 or 2, characterized in that, The ferromagnetic particles of the composite material layer (3) include Fe-Ni, Fe-Co or rare earth magnetic powder materials, and the particle size range is 0.1 - 10 μm.

4. The system according to claim 3, wherein The non-magnetic support outer layer (4) is provided with a plurality of window openings or hollow structures to improve the penetration effect of the external magnetic field on the embedded wires.

5. The system according to claim 1, wherein It also includes a non-contact sensor assembly arranged in cooperation with the saw blade. The sensors include a laser vibrometer, an infrared temperature sensor and an optical displacement sensor.

6. The system according to claim 5, wherein The sensor assembly is installed on a fixed bracket close to the saw blade and communicates with the control system in real time through an industrial Ethernet.

7. The system according to claim 1, wherein The control system is configured with an adaptive algorithm combining PID control and fuzzy logic control, and can dynamically adjust electromagnetic parameters according to the vibration frequency.

8. The system according to claim 1, wherein Heat dissipation channels are provided in the saw blade composite structure, and heat dissipation is carried out through an external air-cooling or liquid-cooling system to prevent the saw blade from overheating and deforming.

9. The system according to claim 1, wherein The saw blade, the electromagnetic control device and the sensor assembly adopt a modular structure design and can be quickly disassembled, assembled and maintained through a standardized mechanical locking interface; the control system is connected to a cloud monitoring platform, supporting remote monitoring, alarm and augmented reality visual operation and maintenance functions.

10. The system according to claim 1, wherein The control method of the saw blade includes the following steps: Collect vibration, temperature and deformation information of the saw blade through a non-contact sensor; the control system (6) performs feature extraction and vibration analysis on the collected data, and calculates magnetic field parameters based on the adaptive PID and fuzzy logic algorithms; the external electromagnetic control device (5) generates a magnetic field perpendicular to the saw blade surface and acts on the embedded conductive circuit (2) to form an induced current to adjust the local rigidity of the composite material layer (3); the control system (6) performs real-time correction based on the feedback data to achieve closed-loop control; when the temperature exceeds the set threshold, the cooling system is automatically started for heat dissipation; at the same time, it supports uploading operation data to the cloud platform for remote diagnosis and optimization of control strategies.

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