90 results about "Structural vibration" patented technology

The application discloses a fan blade damage identification method based on structural vibration modal feature transmission and image recognition. The method constructs a three-layer deep learning architecture composed of an upper structure dynamic network, a lower visual network and a joint fusion network, realizing deep fusion of multi-modal information. Among them, the upper structure dynamic network implicitly extracts the structural dynamics characteristics of the blade through the acceleration sensor signal to perceive the internal state anomaly; the lower visual network identifies the surface damage of the blade by fusing the visible light and infrared image features collected by the unmanned aerial vehicle; the joint fusion network realizes deep fusion and collaborative decision of the above-mentioned structural features and visual features through cross-modal attention and Bayesian inference. The application significantly improves the accuracy, robustness and environmental adaptability of damage identification by fusing the internal dynamic response of the blade and the external visual information, and provides an efficient solution for realizing intelligent state monitoring and operation and maintenance of the fan blade.

The utility model belongs to the technical field of seat, disclose a kind of multilayer fire -retardant noise absorption seat backplate, including backplate body, the backplate body is made of five layers structure composite, the backplate body includes abrasion -resistant fire -retardant surface layer, perforated sound-absorbing layer, soundproof layer, damping layer and support backplate that are sequentially arranged, each layer is integrally formed by hot pressing, the abrasion -resistant fire -retardant surface layer is located outermost layer.The utility model can effectively block external fire source and delay flame spread by abrasion -resistant fire -retardant surface layer, perforated sound-absorbing layer and soundproof layer can efficiently absorb medium-high frequency noise by micro-perforation resonance and porous sound-absorbing, and damping layer further inhibits structural vibration energy transmission, solve the problem that traditional seat backplate is insufficient in fire -retardant and single in noise absorption means.

This invention relates to the field of vibration control technology for civil engineering structures. It discloses a triaxial magnetorheological quasi-zero stiffness intelligent vibration isolation bearing for large-span spatial structures and its control method. The bearing includes a top plate and a bottom plate. A middle plate is fixed to the bottom of the horizontally stacked magnetorheological elastomer vibration isolation / vibration unit. A vertical magnetorheological quasi-zero stiffness vibration isolation / vibration unit is fixed to the bottom plate and slidably connected to the inner side of the middle plate. The control method uses sensors to collect the structural response in real time, identifying three operating conditions: high-frequency micro-vibration, low-frequency moderate vibration, and large earthquake safety. It automatically switches control modes to achieve coordinated adaptive control of vertical damping and horizontal stiffness and damping. This invention combines high static load-bearing capacity with low dynamic stiffness, enabling triaxial decoupling and multi-mode intelligent coordinated control, and is suitable for broadband vibration control of roof supports for large-span spatial structures.

The invention involves a triangular prismatic tuned mass damper suitable for large-span or cantilever structures, including a triangular prism box, particle damping units inside the triangular prism box, and a steel mass block. Below the triangular prism box are high-damping springs. The particle damping unit consists of a particle damping cavity, particles of three different sizes, and foam rubber pads. When the structural vibration amplitude is small, the particles dissipate energy by compressing the foam rubber pads and rolling. When the amplitude of structural vibration is large, the energy is dissipated by the collision of particles and the compression of the foam rubber.

This invention provides a ship foundation impedance prediction model, device, and construction method based on support vector regression optimized by particle swarm optimization (PSO). It belongs to the field of ship foundation performance testing technology. The model establishment includes the following steps: First, define preset ship foundation vibration reduction and isolation design parameters; then, construct an initial ship foundation structure based on these parameters; next, establish a predictive physical model for ship foundation impedance based on this initial structure; then, establish a ship foundation vibration performance database; finally, use an optimization algorithm combining PSO and support vector regression to learn the structural vibration performance from the ship foundation vibration performance database, thereby obtaining a foundation impedance prediction model based on PSO-optimized support vector regression. This invention can more accurately and efficiently predict the impedance performance of ship foundations, thus providing strong technical support for ship vibration reduction and noise reduction, improving the accuracy of ship foundation impedance prediction, and shortening the ship foundation impedance calculation time.

This application discloses a method and system for identifying and assessing foreign object impacts on rail vehicles based on multimodal fusion. It constructs a multi-source monitoring data and operating environment parameter dataset by acquiring image information, structural vibration response information, and impact acoustic information of multiple key structural parts of the rail vehicle, combined with operating parameters, ambient temperature, and track snow cover information obtained from the onboard positioning system. Based on this, a multimodal fusion analysis method is used to identify foreign object impact events, determining the time of foreign object occurrence, impact time, and impact characteristic parameters. Furthermore, the impact load is calculated based on the foreign object's size and material parameters, and the foreign object's entrainment capacity and critical size range are analyzed using an aerodynamic adsorption model. Finally, statistical analysis of the impact events is performed, and the risk level of key structural parts is assessed. This application enables accurate identification and quantitative analysis of foreign object impact behavior on rail vehicles during winter ice and snow, improving operational safety.

The application discloses a kind of video vibration two-dimensional modal identification method and equipment based on depth completion pyramid, belong to structural vibration measurement and modal identification technical field;First, the depth image sequence in the two-dimensional vibration process of measured structure is obtained;The sparse depth image of depth image sequence is directionally depth completed to construct Gaussian pyramid, and depth completion pyramid is constructed in combination with the Gaussian pyramid of adjacent scale, and the target layer is selected for fusion reconstruction;Then, the reconstructed depth sequence is sequentially subjected to difference amplification, transposition compression and direct current removal processing to construct a unified input matrix;Then, the input matrix is subjected to PDD method and H-DMD method to extract natural frequency, damping ratio and modal shape from two dimensions of frequency domain and time domain;Finally, the decomposition results of PDD method and H-DMD method are jointly checked, and the modal identification result of the structure is output.The two-dimensional structural vibration modal result obtained by the method is improved in terms of parameter integrity, spatial continuity and physical consistency.

The application belongs to the technical field of structural vibration control devices, and discloses a high-stability multidirectional vibration isolator. The vibration isolator comprises horizontally arranged upper and lower steel plates, a spiral spring fixed between the upper and lower steel plates, a threaded sleeve and a viscoelastic damping block. The threaded sleeve is rigidly connected to the upper and lower steel plates and located outside the spiral spring. The viscoelastic damping block is arranged in the spiral spring and fixed below the upper steel plate and above the lower steel plate. The viscoelastic damping block is a curved surface. The application improves the vertical vibration isolation effect and displacement control capacity of the spring vibration isolator, makes up for the horizontal vibration isolation defects caused by the insufficient lateral stability of the spring vibration isolator, increases the application scenarios of the spring vibration isolator, and does not excessively increase the implementation complexity, thereby facilitating application.

A wind tunnel test model structure with a high slenderness ratio belongs to the field of wind tunnel test vehicle design technology. It solves the problems of large vibration amplitude and low data accuracy in existing technologies during testing. Key technical points: The rectifier cap, front cylinder, and front port flange are sequentially bonded together, with the front port flange connected to the front end of the central steel shell; the rear port flange, rear end cylinder, and rear end plate are sequentially bonded together, with the rear port flange connected to the rear end of the central steel shell; a balance sleeve is fitted onto the balance, the central steel shell is fitted onto the balance sleeve, the balance front cone tension plate is connected to the central steel shell, the front end of the balance is connected to the balance front cone tension plate, and the rear end of the balance is connected to the tail end of the balance sleeve. This invention significantly reduces the vibration amplitude of the model structure during testing, avoids damage to the model and equipment caused by resonance, and improves the safety and stability of the entire wind tunnel high angle-of-attack test process; it effectively suppresses the interference of model vibration on measurement results, ensuring accurate and reliable test data acquisition.

This invention relates to a method for identifying the elastic modulus and loss factor of functionally graded coatings under thermal conditions based on vibration testing. It belongs to the field of structural vibration and material parameter identification technology, and includes: preparing a metal plate specimen coated with a functionally graded coating, and obtaining structural geometric parameters, component material parameters, and thermal vibration environment parameters; applying vibration excitation to the metal plate specimen under thermal conditions to obtain the test natural frequency and test damping ratio of the target order; establishing an equivalent material parameter model of the functionally graded coating to obtain the equivalent Young's modulus, shear modulus, Poisson's ratio, and density of the coating material, and calculating the transformation stiffness coefficient; establishing an analytical dynamic model of the metal plate specimen under thermal conditions based on first-order shear deformation theory and thermoplastic theory to obtain the theoretical natural frequency and theoretical damping ratio of the corresponding order; constructing an error function constrained by the natural frequency and resonance response, and obtaining the equivalent elastic modulus and loss factor of the functionally graded coating through iterative optimization based on a particle swarm optimization algorithm.

The application discloses a lung sound intelligent quality evaluation method and system fusing structural vibration characteristics, three-axis acceleration original data and lung sound audio data are synchronously collected through a bone conduction vibration sensor and a microphone; the mean square deviation and the impact peak value of the combined acceleration are calculated according to the three-axis acceleration original data, and a fuse type signal quality evaluation is carried out; the lung sound audio data is converted into a logarithmic mel spectrum according to the quality evaluation result, and the acoustic characteristics are extracted through a residual network; meanwhile, the three-axis acceleration original data is converted into a vibration spectrum diagram, the mechanical characteristics are extracted through a lightweight convolutional neural network, and the attention mask is generated through Sigmoid activation; the attention mask is multiplied with the acoustic characteristics element by element, and the fusion characteristics are obtained; the fusion characteristics are input into a classifier, and a lung sound pathological classification result is output. The application can eliminate invalid signals in advance, avoid low-quality data from entering the subsequent network, and significantly improve the lung sound classification robustness in a complex environment.

The application discloses a large-scale quay crane structure seismic excitation damping coefficient calculation method, and belongs to the technical field of port large-scale track structure earthquake resistance; the method comprises the following steps: constructing a finite element simulation model of the quay crane structure; establishing a Rayleigh damping equation based on the finite element simulation model; extracting the first-order natural frequency of structure vibration under X direction excitation through modal analysis, and extracting the main frequency of the seismic wave through spectrum analysis on the input seismic wave; determining the damping ratio ξ of the finite element simulation model; determining two basic frequencies of the Rayleigh damping equation according to the first-order natural frequency and the main frequency of the seismic wave, wherein the first basic frequency is ω1, the second basic frequency is ω2, and n is an odd number greater than 1; and calculating the damping coefficient c according to the damping ratio and the two basic frequencies; the application considers the dynamic characteristics of the quay crane structure and the spectrum characteristics of the seismic wave, improves the accuracy of the damping coefficient calculation, and makes the seismic response simulation result more reliable.

The present invention relates to a device, use of device, and method of reducing vibrations in a structure. The method comprises a step of rotating a first element (11) in a first rotational plane (P1) and a second element (22) in a second rotational plane (P2) parallel to the first rotational plane (P1) around the rotational axis (2). The first element (11) has a first mass (M1) arranged with a distance (R1) from the rotary axis (2) in the first rotational plane (P1), and the second element (22) has a second mass (M2) arranged at a second distance (R2) from the rotary axis (2) in the second rotational plane (P2). The first and second element (11,22) are rotated in opposite directions around the rotational axis (2) with the centres of mass passing a line extending from the rotational axis (2) and outwards in a predetermined direction.

The utility model relates to air compressor technical field discloses a low noise air compressor, including compressor body, the top of compressor body is provided with compression pump chamber, and the top of compression pump chamber is connected with air inlet pipe and air outlet pipe, make the air form spiral guide flow before entering compression pump chamber through setting up spiral air deflector and the structure of closed column, relieve the screeching noise caused by the sudden inrush airflow, through setting up the combination structure of expansion chamber, gather together chamber and perforated pipe in the air outlet end in proper order, form the exhaust path of " expansion - contraction - expansion", effectively slow down the sound wave impact in the high pressure air sudden release process, simultaneously, the flexible bellows and perforated plate cooperation sound absorbing material are embedded in the exhaust passage, realize multistage noise reduction, the rubber sheet is clamped for buffering connection vibration in the air filter chamber and air inlet pipe junction, sets up the rubber connecting seat in the bottom, further absorbs the structural vibration in the compressor operation.

The application discloses a kind of multimodal vibration perception methods for liquid-cooled data center, it is related to vibration monitoring technical field, including, the structural vibration signal of liquid-cooled data center computer room is collected, and continuous time series record and unified time mark processing are carried out, form structural vibration reference information;Based on structural liquid time series difference sequence and cabinet liquid time series difference sequence, the propagation direction of vibration in structure, liquid and cabinet is reversed and distinguished, and vibration propagation path characteristic sequence is formed;According to vibration propagation path characteristic sequence, identify vibration dominant source and vibration propagation path state, generate multimodal vibration perception report.The multi-source vibration information obtained by the intelligent sensor is organized under the unified time reference, so that the propagation order between structural vibration, liquid vibration and cabinet vibration has a clear time relationship, providing a reliable time sequence basis for vibration propagation path identification.

A rocket system level structure vibration simulation and verification method, comprising: constructing a rocket system level structure finite element model based on modal superposition method, carrying out harmonic response analysis, constructing excitation-response transfer function in frequency domain, and determining dynamic load transfer path and amplification effect; combining the power spectral density of the rocket vibration environment, implementing random vibration analysis, quantifying the system level structure strength safety margin by calculating the fatigue life; selecting weak components or typical components to carry out targeted vibration test, and verifying the reliability of the system level vibration simulation method in the above steps through test data. The method can effectively improve the vibration environment prediction accuracy and structure design reliability.

This invention relates to the field of vibration control and health monitoring technology for civil engineering structures, specifically to an integrated device and control method for damping and vibration-induced de-icing of cable structures. This application achieves intelligent de-icing through a single device that combines damping vibration suppression with visual guidance, possessing a complete closed-loop control capability encompassing perception, decision-making, execution, and verification. It employs a progressive high-order modal excitation strategy, utilizing the complex local deformation of high-order modes to more effectively break down ice layer adhesion, fundamentally solving the industry problem of poor low-order modal excitation performance. Furthermore, the system can automatically select and upgrade the optimal mode according to different icing conditions, achieving online optimization of the de-icing strategy.

The utility model relates to a noise-reduction motor shell and a motor. The noise-reduction motor shell comprises an end cover, an inner-layer shell and an outer-layer shell, wherein the inner-layer shell and the outer-layer shell are fixedly connected with the end cover; wherein the inner shell is internally provided with an inner cavity, and the inner cavity is used for installing a motor stator and a motor rotor; the outer shell is arranged on the outer side of the inner shell in a sleeving manner; an annular gap is formed between the outer-layer shell and the inner-layer shell, the annular gap is filled with a damping material, and the damping material forms a constraint damping layer with prestress between the inner-layer shell and the outer-layer shell. According to the scheme, the constraint damping layer is arranged between the inner shell and the outer shell, so that the continuity of the overall vibration mode of the shell can be destroyed, the transmission path of vibration waves can be blocked, and when the vibration of the motor stator is transmitted to the inner shell, the vibration waves can be transmitted to the constraint damping layer through the interface of the inner shell and the constraint damping layer; due to the high internal friction characteristic of the damping material, vibration energy is converted into heat energy in the material, energy attenuation is achieved, and structural vibration is effectively reduced.

The functionally graded coating elastic modulus and loss factor identification method based on vibration test in thermal environment belongs to the technical field of structural vibration and material parameter identification, and comprises the following steps: a metal plate specimen coated with a functionally graded coating is prepared, and structural geometric parameters, component material parameters and thermal vibration environment parameters are obtained; vibration excitation is applied to the metal plate specimen under thermal environment conditions, and the test inherent frequency and test damping ratio of the target order are obtained; an equivalent material parameter model of the functionally graded coating is established, the equivalent Young's modulus, shear modulus, Poisson's ratio and density of the coating material are obtained, and the transformation stiffness coefficient is calculated; based on the first-order shear deformation theory and the thermal plasticity theory, an analytical dynamics model of the metal plate specimen under thermal environment is established, and the theoretical inherent frequency and theoretical damping ratio of the corresponding order are obtained; an error function with inherent frequency and resonance response as constraints is constructed, and the equivalent elastic modulus and loss factor of the functionally graded coating are obtained through iterative optimization based on the particle swarm algorithm.

The present application belongs to the technical field of ship vibration and noise reduction, and discloses a method and system for determining the vibration of a beam structure containing an acoustic black hole damping layer. The method includes the following steps: S1. For a beam structure in a ship with an acoustic black hole damping layer attached, a coupled system containing a uniform beam and the acoustic black hole damping layer is selected as the research object, and the research object is simplified as two-layer beams coupled, with different material properties and cross-sectional forms; S2. Construct the motion control equation of the coupled system; S3. Solve the motion control equation of the coupled system to obtain the natural frequency of the coupled system under free vibration and the vibration response of the coupled system under external excitation, respectively. Through the present application, the problem of low efficiency and poor economy in quickly predicting the natural frequency and vibration response of the beam structure containing the acoustic black hole damping layer is solved.

The application discloses a structure vibration self-powered cable force meter based on electrostatic and piezoelectric principles, which comprises a cable force sensor, a wind power energy capturer, a power management module and a sensing signal wireless transmission module. The cable force sensor is installed on a cable and connected with the sensing signal wireless transmission module, and an electric potential difference is generated based on the electrostatic and piezoelectric principles to form an electric current, and the sensing signal wireless transmission module is used to send the sensed signal; the wind power energy capturer is electrically connected with the power management module, and the power management module is electrically connected with the sensing signal wireless transmission module; the wind power energy capturer comprises a support sheet, a blunt body shell, a base, a piezoelectric sheet, a fixed contact plate, a sliding contact plate, a positive friction power generation sheet fixed on the upper surface of the fixed contact plate and a negative friction power generation sheet fixed on the lower surface of the sliding contact plate, and can supply power for the sensing signal wireless transmission module. The device does not need external power supply and a large number of wiring, has high durability and high recognition accuracy.

This application discloses a sampling machine anti-blocking material feeding device and a sampling and crushing system, including: a flow perception module; a central control unit, which receives and processes the multi-source signals, judges the material flow state based on the flow analysis model, and generates corresponding control commands; and a multi-level anti-blocking intervention module, which executes different levels of anti-blocking intervention operations according to the control commands. This application uses a non-contact integrated multi-source sensing module (visual, acoustic, vibration) to capture material flow state information in real time from multiple dimensions such as image morphology, impact sound patterns, and structural vibration, and integrates and processes this information into a quantified "flowability index" and specific "smooth / deteriorated / interrupted" status indicators. This multi-information fusion sensing method overcomes the shortcomings of insufficient reliability of single sensors, can sensitively identify early signs of flow deterioration, and achieves a fundamental shift from "blockage alarm" to "risk warning," gaining valuable time for proactive intervention.

This application discloses a voice-controlled intelligent lifting control method and system. It synchronously collects acoustic, structural vibration, and Hall pulse data, uses Hall pulses to calculate the current height in real time, and uses this as an index to perform parameter interpolation in a pre-set mapping library, thereby constructing a predicted transfer function dynamically adapted to the current mechanical form. Based on this, the structural vibration attached to the frame is used as a reference signal, and adaptive cancellation filtering is used to restore a clean voice vector, effectively filtering out nonlinear mechanical noise generated by motor operation. In this way, the equipment can maintain extremely high command recognition accuracy even when the motor is running at full speed, fundamentally solving the collision risk caused by voice interruption failures, and significantly improving the real-time performance and physical safety of intelligent lifting interaction.

The present application relates to the technical field of pipeline structure reliability analysis, in particular to a pipeline structure reliability analysis method under interval uncertainty, comprising: collecting basic parameters affecting the vibration fatigue life of the pipeline structure; establishing a function function in reliability analysis; standardizing the input vector and the function function; establishing a reliability model of the pipeline structure under interval uncertainty with the standard function function as a constraint; introducing an intermediate variable for equivalent conversion; solving by using the dichotomy combined with the random search feasibility judgment method to obtain the reliability index of the pipeline structure. The present application solves the problems of difficulty in solving the black box function and difficulty in ensuring global convergence in the vibration fatigue life analysis of the engine pipeline structure by using the interval reliability analysis framework of the dichotomy combined with the random search feasibility judgment.

The application belongs to the technical field of mechanical structure vibration control, and particularly relates to a structure multidirectional self-adaptive friction and collision composite damping system and a damping method. The system comprises a hemispherical stable base, a hemispherical cavity container installed on the hemispherical stable base, a bearing assembly connected in the hemispherical cavity container, an arc-shaped track with a limiting baffle rotatingly connected in the hemispherical cavity container through the bearing assembly, and a rolling ball placed in the arc-shaped track and freely rolling along the arc-shaped track. The hemispherical cavity container is arranged, and the bearing assembly is matched, so that the arc-shaped track can realize 360-degree free rotation in the hemispherical cavity with very low friction resistance. When a building or a tower drum encounters sudden change of wind direction or complex seismic wave excitation in multiple directions, the track can rely on the inertial force of the rolling ball to quickly and automatically yaw to the damping direction consistent with the external load. On the other hand, the limiting baffle collides with the rolling ball to dissipate energy, thereby overcoming the poor multidirectional adaptability of the traditional damper.

The application discloses a kind of active and passive collaborative near-field stealth sound field system and implementation method, belong to acoustic privacy, mobile terminal and vehicle-mounted acoustic technical field.This system takes mobile terminal, mobile terminal protective shell and vehicle-mounted cabin as carrier, realizes frequency band convergence and sound energy attenuation to wideband human voice by passive acoustic processing module, cooperates active acoustic processing module to carry out anti-phase interference cancellation to narrowband signal, and eliminates structural vibration, gap leakage sound and reverberation by residual energy dissipation module, forms stable near-field stealth sound field around user mouth.System is automatically triggered according to communication state, only suppresses human voice to spread outward, does not interfere with normal pickup microphone, so that human voice attenuates to below ambient noise in preset distance and cannot be identified.The application has good universality, stable privacy protection effect, low power consumption, easy to integrate, can be adapted to terminal built-in, vehicle-mounted cabin, protective shell peripheral form, etc., and can also be applied to wearable audio and video equipment and other scenes.

The application provides a computer vision-based structural vibration displacement monitoring method and system and a storage medium, and the method comprises the following steps: step 1, structural vibration video preprocessing; basic information of video data is automatically acquired by using a video basic information automatic acquisition algorithm, and an image gray scale and local histogram equalization processing method is used to simplify the image calculation complexity and enhance the image features; step 2, structural displacement monitoring based on improved FAST corner detection; an automatic threshold calculation method based on the maximum inter-class variance is introduced to form an improved FAST corner detection algorithm, the image features obtained by the improved FAST corner detection algorithm are combined with the pyramid Lucas-Kanade optical flow method, and a whole-process automatic image feature detection and motion tracking scheme is established. The method has the advantages that the overall monitoring process is optimized, and the method is non-contact, simple to operate and high in automation.

The application discloses a double-crane multi-axis synchronous control method and system based on laser communication and relates to the technical fields of crane motion control and laser communication. The double-crane multi-axis synchronous control method based on laser communication comprises the following steps: S1, constructing a double-machine synchronous source state data set; S2, analyzing the delay change trend in the communication period based on the double-machine synchronous source state data set; S3, introducing a link stable state and a control period boundary relationship, and performing synchronous instruction arrival time sequence discrimination; and S4, performing master-slave crane multi-axis operation consistency evaluation according to an effective alignment state. The problems that the communication time delay and period of the laser communication link are dithered under the action of structural vibration, optical machine micro-deviation and air flow disturbance, and the arrival time of the control instruction and the control period boundary are misaligned are solved.

The utility model belongs to aerospace technology field, concretely relates to a kind of tensile resistance detection device for aerospace fastener, including detection platform, the both ends of detection platform top are all fixed with mounting plate, the side of two mounting plates mutually close is all fixed with hydraulic cylinder, the output end of two hydraulic cylinders is all fixed with clamp towards mutually close one end, the bottom of detection platform is installed vibration structure, vibration structure is used to control detection platform to vibrate, the side of detection platform is installed impact structure, impact structure is used to be fastener test impact resistance effect, vibration mechanism structure includes the bottom plate fixed in the lower part of detection platform, the four end angle positions of bottom plate top are all fixed with a first spring.The utility model can exert vibration and impact effect, and then make detection result more close to the real force performance of fastener in actual flight, greatly improve the accuracy of detection result, effectively avoid the misjudgment caused by detection not comprehensive.

This invention proposes an acoustic black hole metamaterial and its design method that combines load-bearing and vibration suppression. It is composed of multiple periodically arranged unit cells interconnected. Each unit cell integrates six three-dimensional acoustic black hole units formed by rotating a power-law thickness-gradient structure. Through the synergistic effect of the three-dimensional acoustic black hole units and lattice topology design, a significant elastic wave bandgap is achieved in an ultra-wide frequency range, effectively suppressing structural vibration while maintaining excellent static load-bearing capacity. This invention overcomes the inherent contradiction between vibration reduction performance and load-bearing capacity. While achieving lightweight miniaturization, it has advantages such as simple manufacturing process, compact structure, and easy integration, making it suitable for fields with high requirements for load-bearing and vibration suppression.