403 results about "Material fatigue" patented technology

The invention provides an air tightness optimization method for a soft pressurization cabin, and the method comprises the steps: presetting a dynamic sensor array at a specific position where a structure is liable to fail according to a failure risk assessment table, collecting stress concentration data caused by non-uniform pressure distribution in real time, and generating a stress distribution dynamic graph containing a time sequence; the dynamic adjusting device is driven to operate through the homogenized pressure distribution adjusting scheme, pressure field data in the cabin body is updated in real time, whether material fatigue is within the fracture risk range or not is judged, and a fatigue state monitoring report is generated; obtaining a fracture risk index in the fatigue state monitoring report, carrying out iterative adjustment on the fiber weaving density and the elastic modulus of the key area by adopting a material design optimization algorithm, and determining a final structure layout parameter for improving the performance; and extracting a limiting condition of dynamic adjustment difficulty from the final structure layout parameters, simulating a cabin operation state in an extreme environment through a digital twin technology, calculating a boundary value of performance limitation, and obtaining a verification result of performance improvement.

The invention relates to the field of mechanical fatigue simulation, and discloses a method for simulating and deducing the number of torsion cycles. Comprising the steps that a component three-dimensional parameterized model is constructed, and material fatigue characteristics are defined; applying a periodic torsion load spectrum containing a harmonic component; adopting a stress influence coefficient matrix method to execute quasi-static finite element analysis, and extracting a multi-axis stress state; calculating the maximum alternating shear stress and the average shear stress based on a critical plane recognition technology; converting into a single-axis equivalent stress amplitude through a gradient enhanced multi-axis correction rule; calculating node fatigue damage by combining an S-N curve and a damage accumulation theory; and when the damage reaches a threshold value, outputting a failure cycle number and a position. The innovation points are as follows: the prediction error is controlled within 10% by a critical plane and multi-axis correction technology; a stress matrix method realizes ten thousand times of cycle-level efficient simulation, and the efficiency is improved by 10 times; the risk early warning accuracy rate is improved to 96% by integrating a process correlation defect model; and the research and development period is shortened by 40% through a life cloud picture and an automatic optimization closed loop. The method is suitable for transmission shaft system reliability design.

The invention discloses a self-adaptive constant-force vibration reduction mechanism base and a robot, and belongs to the technical field of specialized robots. Two sets of buffer units and vibration reduction units are arranged at the front end and the rear end of the base correspondingly; driving wheels are arranged on the buffer unit and the vibration reduction unit; the buffer unit comprises a horizontal buffer structure, a vertical buffer structure and a support; the horizontal buffer structure is slidably connected with the support in the vertical direction; the top of the vertical buffer structure is hinged to the support, and the bottom is fixedly connected with the driving wheel; the support is fixedly connected with the base; the vibration reduction unit comprises a rotating support and a constant force component. According to the self-adaptive constant-force vibration reduction mechanism base and the robot, the problems that in the prior art, a vibration reduction mechanism cannot completely avoid vibration generated by a wheel type moving device in the vertical direction when the wheel type moving device moves on an uneven road surface, and consequently bolt looseness, wire harness interface looseness, material fatigue strain and the like occur can be effectively solved; and therefore, the wheel type moving device has a fault in the operation process and cannot stably operate, and the like.

The invention relates to the technical field of intelligent diagnosis, in particular to a pressure vessel health monitoring method based on an intelligent algorithm, which comprises the following steps: acquiring pressure, stress and temperature data in real time by using a sensor array, calculating a track evolution parameter set, identifying a damaged area, detecting a fault event, and predicting a health state and residual service life. And establishing a damage grade classification framework, and obtaining a damage grade classification result. According to the method, through multi-source data real-time acquisition and spatial gradient refining processing, by using a pressure and stress distribution coupling relation, accurate damage positioning is realized, the anomaly detection sensitivity is improved, damage boundary coordinates are marked, the expansion rate of adjacent damage areas is quantified, and phase delay is judged in combination with a multi-period pressure track; fault recognition stability is enhanced, abnormal event classification precision is optimized, a material fatigue accumulation and pressure uniformity correlation means is adopted, health score attenuation observation is enhanced, health state quantification depth is improved, and life prediction reliability is expanded.

The invention discloses an aircraft shell surface quality detection method. According to the method, a passenger cabin pressure difference curve and a shell outer surface temperature curve are calculated to obtain a pressure difference change node and a temperature difference change node respectively, and then partitioning is carried out to obtain phase thermoelastic coupling partitions; when a temperature difference change node reaches a phase change threshold value, performing beta-phase to alpha-phase transformation on the polyvinylidene fluoride microcapsule premixed in the finish paint, and forming a polarized memory cavity at a defect cementing position; when a voltage difference change node reaches a peak value, triggering a polarized memory hole to release charges, exciting a high-order thin film elastic wave, and performing integer ratio phase locking on the high-order thin film elastic wave and a natural vibration wave of a machine body to obtain a defect harmonic signal; carrying out acoustic-mechanical coupling calculation according to the amplitude of the defect harmonic signal to obtain a virtual work increment, and recording the virtual work increment to a damage matrix; and performing multi-leg accumulation calculation on the virtual work increment, and outputting a defect early warning signal when an accumulation value exceeds a material fatigue critical value. According to the invention, the hidden fatigue defect of the surface of the aircraft shell under the dynamic load can be detected.

The invention relates to an anchoring system life intelligent evaluation method, system and device and a medium, and the method comprises the steps: constructing a topological network through the space coordinates of anchoring points and the rigidity of components, and quantifying the mechanical correlation between nodes; the load is monitored in real time and compared with a design value, and the dynamic sensitivity of the node is calculated by fusing material strength characteristics; identifying a set of overload source nodes based on a sensitivity threshold; a Monte Carlo path simulation technology is adopted, a material fatigue accumulation effect is combined to model a failure conduction probability, and a risk conduction path and a strength index are generated; integrating historical degradation data to predict single anchor life, and coupling the maximum path risk and the minimum single anchor life to calculate a system attenuation coefficient; and outputting an evaluation report containing the remaining service life and the position of the high-risk unit. The method breaks through the limitation of traditional single-anchor isolated evaluation, realizes dynamic quantification of the failure conduction effect of the multiple anchoring units, and solves the problem of maintenance decision blindness caused by conduction effect deficiency.

The invention discloses a method and device for testing the fatigue crack growth rate of a metal material based on temperature gradient change, and relates to the technical field of metal material detection. Mounting a constant low-temperature component and a constant high-temperature component close to two ends of the sample respectively; pasting a plurality of thermocouples on the middle surface of the sample; a magnetic powder dynamic moving assembly is installed on the surface of the sample, and a constant-temperature state is given to magnetic powder; loading a bidirectional tension-compression fatigue testing machine along the through hole of the sample; a thermal imager is arranged far away from the parallel sample, and a thermal imaging image is shot; according to the data, the fatigue crack growth rate of the sample at the corresponding temperature is obtained; according to the method, the fatigue crack growth rate of the metal material can be rapidly tested, meanwhile, the temperature gradient is formed in the sample, the influence of the temperature on the crack growth rate can be obtained in different temperature areas, the device required by the whole test is simple in structure, low in cost and convenient to load and disassemble, and the whole efficiency of the test is effectively improved.

The invention discloses a fatigue crack automatic segmentation and quantification method and device in a structural strength test, and the method comprises the steps: obtaining a material fatigue crack image, and constructing a material fatigue crack image data set; a fatigue crack segmentation and quantification network CrackDAM-Net is constructed; comprising the following steps: constructing a local feature encoder, a global information encoder, a multi-scale feature fusion module, a decoder module and a crack length automatic quantization module, and training a fatigue crack automatic segmentation and quantization network; and inputting a crack image to be detected into the fatigue crack segmentation and quantization network CrackDAM-Net, and carrying out crack segmentation and length quantization to obtain the fatigue crack length. According to the method, the calculation complexity of the model is reduced by constructing the fatigue crack segmentation and quantification network-CrackDAM-Net; the effective fusion of fine-grained details and coarse-grained information is realized, and the extraction effect of crack global information, the accuracy of crack segmentation and the precision of crack length measurement are improved.

The invention relates to the field of mechanical transmission control, and discloses a self-adaptive torsion optimization method and system based on a stress model. The method mainly comprises the following steps: acquiring strain, temperature and vibration data of a transmission system in real time through a distributed sensor network; constructing a three-dimensional dynamic stress field model, and marking a high-risk area; dynamically adjusting a safety threshold based on material fatigue characteristics, and generating a torque control curve by adopting an optimization algorithm; and eliminating response delay through a pre-compensation mechanism. The system comprises an edge calculation unit, a millisecond-level actuator and a grading protection module. According to the method, the tooth root stress concentration is successfully inhibited by 35% in the wind power gear box, the impact load is reduced by 52% in the industrial robot joint, the equipment reliability is remarkably improved, and the service life is remarkably prolonged. The device is suitable for transmission systems of wind power, electric automobiles, industrial robots and the like.

The invention relates to the technical field of aero-engine turbine rotor blade fatigue life design, in particular to a multistage turbine rotor blade fatigue life analysis method and device. The method comprises the following steps: based on material fatigue performance data of turbine rotor blades and a three-dimensional finite element model of the turbine rotor blades, obtaining a target test temperature and a target test rotating speed of a multi-stage turbine rotor blade group in a low-cycle fatigue test and a stress coefficient of each assessment part of each stage of turbine rotor blades; and obtaining an actual fatigue test cycle number analysis result of each stage of turbine rotor blade based on the target test temperature and the target test rotating speed of the low cycle fatigue test of the multi-stage turbine rotor blade group and the stress coefficient of each assessment part of each stage of turbine rotor blade. According to the method, the function of carrying out fatigue life test on multiple groups of turbine rotor blades is realized, the test efficiency is effectively improved, the test period is shortened, and the economic cost is reduced.

The invention discloses a constant-force vibration reduction mechanism and a robot, and belongs to the technical field of specialized robots, the constant-force vibration reduction mechanism comprises at least two vibration reduction units arranged on a base and a plurality of driving wheels consistent with the vibration reduction units; the vibration reduction unit comprises a rotating support and a constant force component. The rotating bracket is rotatably connected with the base; the rotating bracket is respectively connected with the driving wheel and the constant force component; the constant force component is used for applying counter-acting force to the base, and it is guaranteed that the base and an upper structure of the base are kept stable in the vertical direction in the moving process. According to the constant-force vibration reduction mechanism and the robot, the problems that in the prior art, a vibration reduction mechanism cannot completely avoid vibration generated by a wheel type moving device in the vertical direction when the wheel type moving device moves on an uneven road surface, and consequently bolt looseness, wire harness interface looseness, material fatigue strain and the like occur can be effectively solved; and therefore, the wheel type moving device has a fault in the operation process and cannot stably operate, and the like.

The present invention relates to the field of wind turbine detection technology, and specifically to a wind turbine blade crack detection system based on acoustic feature analysis, comprising an acoustic signal acquisition module, a material fatigue state monitoring module, a signal separation and identification module, and a crack location module, wherein: the acoustic signal acquisition module acquires acoustic signals generated during blade operation; the material fatigue state monitoring module compares changes in material properties with a material damage database to determine the material fatigue state of the current blade; the signal separation and identification module distinguishes between normal operating acoustic signals and abnormal acoustic signals; and distinguishes crack signals from material fatigue signals; and the crack location module determines the crack location using a triangulation positioning algorithm. The present invention significantly improves the accuracy of abnormal signal separation through the coordinated analysis of material behavior and acoustic signals, thereby more accurately detecting crack signals.

The invention relates to the technical field of unmanned aerial vehicle evaluation, in particular to an unmanned aerial vehicle structure fatigue prediction method and system, and the method comprises the steps: obtaining a sensor data set of a key structure part of an unmanned aerial vehicle; dynamically evaluating the data quality of the sensor data set, and dynamically adjusting a data cleaning preprocessing strategy according to an evaluation result; constructing a stress field model reflecting global stress distribution of the structure on the basis of the preprocessed sensor data set in combination with real-time flight environment parameters; and according to the stress field model and material fatigue characteristics, calculating a fatigue damage prediction value of each structural part. The objective of the invention is to improve the prediction precision of the fatigue damage of the unmanned aerial vehicle structure.

The invention discloses a method for predicting the residual life of an existing asphalt pavement structure, particularly relates to the technical field of computer simulation and data processing, and is used for solving the problem that the existing prediction method cannot efficiently represent the non-uniformity of an existing pavement material and the dynamic environment load influence on the premise of ensuring the precision. Existing damage data of a road surface are acquired to construct a simulation model reflecting a real initial state, material fatigue parameters are acquired in combination with cross-scale analysis, a dynamic environment boundary is driven by utilizing climate time sequence data, and then time-frequency coherence analysis is performed on a damage mode and a climate load to identify a high-threat working condition, so that the high-threat working condition is identified. And finally, preferentially operating high-fidelity thermal-mechanical coupling numerical simulation aiming at a high-threat working condition, and mapping damage evolution data output by simulation to a macroscopic performance degradation process so as to determine the residual fatigue life.

The invention discloses a constant-force buffering mechanism and a robot, and belongs to the technical field of specialized robots, the constant-force buffering mechanism comprises at least two constant-force buffering assemblies arranged on a base and a plurality of driving wheels consistent with the constant-force buffering assemblies; the constant-force buffering assembly comprises a main support and a constant-force spring piece. The driving wheel is telescopically connected to the main bracket through a constant-force spring piece; the constant-force spring piece exerts counter-acting force on the base through vertical telescopic deformation so as to offset the gravity of the base and the gravity of the upper structure of the base, and it is guaranteed that the base and the upper structure of the base are kept stable in the vertical direction in the moving process. According to the constant-force buffering mechanism and the robot, the problems that in the prior art, a damping mechanism cannot completely avoid vibration generated by a wheel type moving device in the vertical direction when the wheel type moving device moves on an uneven road surface, and consequently bolt looseness, wire harness interface looseness, material fatigue strain and the like occur can be effectively solved; and therefore, the wheel type moving device has a fault in the operation process and cannot stably operate, and the like.

The invention relates to the technical field of bridge vibration reduction, in particular to a double-spring frequency conversion lever tuned mass damper device and a regulation and control method. The double-spring frequency conversion lever tuned mass damper device comprises a base, a lever, a mass block, a first spring and a second spring. Wherein the base is used for being connected with a to-be-damped structure; the middle of the lever is rotationally connected with the base; the mass block is arranged on the lever and located on one side of the base. The first spring and the second spring are located on the two sides of the base respectively, connected with the lever or abut against the lever and used for balancing the gravity of the mass block, and the first spring is located between the mass block and the base. The problems that in the prior art, when the spring end stress and the mass block end stress are amplified in a lever proportion, the pin shaft stress is too large, damping is too large, debugging is difficult, the pin shaft and a lever need to be thickened or made of special alloy, the manufacturing cost is increased, and potential safety hazards are possibly caused by material fatigue are solved.

The invention discloses a vibration and conventional fatigue load coupled nonlinear damage accumulation prediction method. The method comprises the following steps: analyzing and determining a peak stress at a dangerous point under the loading of a conventional fatigue load according to a finite element model of an engineering component; determining a stress amplitude probability density function at the dangerous point under random vibration loading according to structural dynamics analysis; searching a pre-generated material fatigue life curve; determining equivalent stress at the dangerous point under random vibration loading according to the fatigue life curve; calculating the ratio of the peak stress loaded by the conventional fatigue load at the dangerous point to the random vibration equivalent stress, and establishing a coupling damage parameter according to the vibration and conventional fatigue load coupling series; and establishing a nonlinear damage accumulation model of vibration and conventional fatigue load coupling. According to the nonlinear damage accumulation model provided by the invention, the influence of vibration, a conventional load sequence and a coupling series is considered, the parameter determination is simple, and high-precision prediction of structural damage evolution under complex load coupling can be realized.

The invention relates to the field of metal material fatigue performance optimization, in particular to a post-treatment method for improving the fatigue performance of an additive manufacturing TA15 alloy. The method comprises the following steps that a printing state material of the additive manufacturing TA15 alloy is taken to be subjected to annealing treatment, and a destressing state material of the additive manufacturing TA15 alloy is obtained; then carrying out hot isostatic pressing treatment; carrying out solution treatment on the material subjected to hot isostatic pressing treatment; and then aging treatment is carried out. According to the method, solution aging treatment is combined on the basis of HIP, on the basis of eliminating pores, coarsening of alpha laths is inhibited, the grain boundary alpha enrichment distribution density in the additive manufacturing TA15 alloy is reduced, the microstructure of the alloy is further optimized, the fatigue strength of the additive manufacturing TA15 alloy can be effectively improved, and the process is simple, convenient and reliable.

The invention relates to the technical field of drilling, and discloses a PCB multi-coupling synchronous drilling device which comprises a mounting fixing frame, a reciprocating sliding frame is slidably connected to the inner side of the mounting fixing frame, a synchronous transmission mechanism is arranged in the reciprocating sliding frame, and a belt tightening mechanism is arranged in the middle of the inner side of the synchronous transmission mechanism. A lubricating mechanism is arranged below the belt tightening mechanism, a collecting mechanism is arranged at the bottom end of the synchronous transmission mechanism, a lower pressing plate is fixedly connected to the inner wall of the reciprocating sliding frame, the belt tightening mechanism comprises a belt guide wheel, a guide wheel plate is arranged below the lower pressing plate, and a sliding block groove is formed in the middle of the upper surface of the guide wheel plate; according to the shaft coupling belt, the stress of the shaft coupling belt can be relieved when the shaft coupling belt is loosened during disassembly, material fatigue, deformation or cracking caused by long-term tightening is avoided, and therefore the service life of the shaft coupling belt and the service life of a bearing are prolonged.

The invention discloses a vibration fatigue life prediction method and system based on a working condition adaptive spectrum. According to the method, load information of a target structure under various service conditions is obtained, and frequency domain load descriptions corresponding to different working conditions are subjected to weighted fusion according to working condition weights, so that a working condition adaptive load spectrum capable of reflecting real service characteristics is constructed; on the basis, frequency domain stress response of the structure under the random vibration condition is obtained in combination with a structural dynamics analysis model, equivalent stress description of dominant fatigue damage is further determined through a multi-axis equivalent criterion, and fatigue damage distribution is calculated through a frequency domain fatigue analysis method; and finally, predicting the vibration fatigue life of the structure in combination with a material fatigue performance curve and an environment-related performance correction relation. Compared with the prior art, the method has the advantages that the multi-working-condition load superposition effect and the service environment influence can be effectively considered, and the accuracy and engineering applicability of vibration fatigue life prediction are improved.

The invention belongs to the technical field of aeronautical material fatigue life, and relates to a fatigue life prediction method for a material with impact defects. Establishing a damage evolution model; s2, calculating local stress of a dangerous point; S3, calibrating material damage parameters; and S4, performing fatigue life prediction. According to the method, impact defect stress concentration is accurately quantified through dynamic-static coupling transmission of the residual stress field, and a step-by-step parameter calibration strategy is combined, so that the precision and reliability of fatigue life prediction of the transmission part with the impact defect are remarkably improved, and effective support is provided for defect tolerance design.

The invention discloses a compressed air energy storage underground cavern temperature adjusting structure and a manufacturing method thereof, and belongs to the technical field of compressed air energy storage, the temperature adjusting structure is sequentially provided with a flexible sealing layer, a phase change temperature adjusting layer and an optical fiber sensing layer from inside to outside, the optical fiber sensing layer is connected with the inner wall of a concrete lining, and the phase change temperature adjusting layer is used for stabilizing temperature fluctuation in a cavern; the optical fiber sensing layer is used for monitoring temperature and a strain field in real time and is electrically connected with an external fiber grating sensor grid monitoring system through a sensor lead. According to the method, latent heat can be absorbed or released through the phase change process, temperature fluctuation in the cavern can be effectively stabilized, material fatigue and structural damage caused by thermal stress circulation are reduced, real-time monitoring of the temperature and strain of the sealing layer is achieved, and the sensing capacity and the early warning level of the operation state of the cavern are improved.

The invention provides an endoscope channel inner surface damage assessment method, and relates to the technical field of information, and the method comprises the steps: scanning an endoscope channel inner surface through an optical imaging technology to obtain spectral data containing microscopic texture features, and carrying out Fourier transform to obtain channel surface feature distribution maps at different use stages; performing deep learning neural network processing on the surface feature distribution map, extracting texture parameters related to material fatigue evolution and a chemical corrosion mechanism, and determining distribution features of a surface stress whitening microcell and a nano-crack network according to the texture parameters; and performing predictive analysis on the long-term use durability of the inner surface of the endoscope channel in combination with the damage risk level and the periodic cumulative stress data, and generating a final damage degree evaluation report. The micro texture features of the inner surface of the channel are obtained through an optical imaging technology, texture parameters related to material fatigue and chemical corrosion are extracted, molecular chain breakage and orientation rearrangement risks are evaluated, and the damage degree of the inner surface is judged.

The invention discloses a self-adaptive constant-force buffering mechanism base and a robot, and belongs to the technical field of specialized robots. Two sets of buffering units and constant-force buffering assemblies are arranged at the front end and the rear end of the base correspondingly; driving wheels are arranged on the buffer unit and the constant-force buffer assembly; the buffer unit comprises a horizontal buffer structure, a vertical buffer structure and a support; the horizontal buffer structure is slidably connected with the support in the vertical direction; the top of the vertical buffer structure is hinged to the support, and the bottom is fixedly connected with the driving wheel; the support is fixedly connected with the base; the constant-force buffering assembly comprises a main support and a constant-force spring. The self-adaptive constant-force buffer mechanism base and the robot can effectively solve the problems that a damping mechanism in the prior art cannot completely avoid vibration generated by a wheel type moving device in the vertical direction when the wheel type moving device moves on an uneven road surface, so that bolt looseness, wire harness interface looseness, material fatigue strain and the like occur; and therefore, the wheel type moving device has a fault in the operation process and cannot stably operate, and the like.

The invention discloses a data processing method for segmented fitting of a fatigue crack propagation rate curve, which belongs to the technical field of metal material fatigue crack propagation rate tests, and comprises the following steps: obtaining a data curve to be fitted, determining the amplitude of a stress intensity factor, and setting the range interval of segmented fitting. Fitting data points in the range interval subjected to piecewise fitting to obtain a linear equation, converting the obtained linear equation into a power function form of a Paris formula, and substituting the stress intensity factor amplitude into the power function form of the Paris formula to calculate the corresponding fatigue crack growth rate. According to the method, the calculated fatigue crack growth rate under the specified stress intensity factor amplitude is closer to a real test value, and the fatigue crack growth rate serving as a material engineering application basis is more reliable.

The invention relates to the technical field of underwater oil bags, in particular to an underwater flexible oil storage device capable of being actively recycled. In the device, the oil bag unit is controlled in a near-bottom area of seawater in a constraint mode of combining the base with the balancing weight and the flexible net, so that the turbulence influence is avoided, meanwhile, the displacement and deformation of the flexible oil bag unit are effectively limited, and the damage of the oil bag unit caused by excessive stretching or extrusion is avoided; the underwater system stability and the position controllability of the device are improved; material fatigue damage is reduced, the service cycle of the device is prolonged, external loads and internal oil pressure are balanced, and the risk of leakage caused by local stress concentration is reduced. In addition, the buoyancy module is arranged on the base, the excellent wave current resistance and rapid floating recovery of the device are achieved, and therefore long-term safe operation of the device can be guaranteed, and the device can be repeatedly used. And in cooperation with an abnormal system, autonomous floating of the device under abnormal working conditions such as damage, instability and leakage is achieved, and the safety level of the device is improved.

The invention provides a cross-scale model enhanced fatigue damage prediction method and system, and belongs to the field of material fatigue performance prediction. The method comprises the following steps: constructing a discrete dislocation kinetic model and a cyclic crystal plastic model, and calibrating parameters of the discrete dislocation kinetic model; determining to-be-optimized parameters of the cyclic crystal plastic model and inverting the optimal values of the to-be-optimized parameters to obtain a calibrated cross-scale mechanical model; importing the initial microstructure features of the material into a cross-scale mechanical model to obtain an extended data set containing multi-scale features and fatigue damage results; and constructing a full-connection neural network prediction model, carrying out training based on the extended data set, calculating the Shapley value of the input feature by using a model interpretability tool, and outputting the contribution degree of the multi-scale microstructure feature to the fatigue damage. According to the method, cross-scale interpretable prediction from a micromechanism to macroscopic performance is realized, and a new direction is provided for accurate evaluation of the fatigue life of the heterogeneous material and optimization design of a microstructure.

The invention discloses a self-adaptive constant-force buffering mechanism and a robot, and belongs to the technical field of specialized robots, the self-adaptive constant-force buffering mechanism comprises at least two buffering units arranged on a base and a plurality of driving wheels consistent with the buffering units; the plurality of driving wheels are respectively connected with the base through the buffer units; the buffer unit is used for applying counter-acting force to the base to counteract the gravity of the base and the upper structure of the base, and it is guaranteed that the base and the upper structure of the base are kept stable in the vertical direction in the moving process; the buffer unit comprises a horizontal buffer structure, a vertical buffer structure and a support. According to the self-adaptive constant-force buffering mechanism and the robot, the problems that in the prior art, a damping mechanism cannot completely avoid vibration generated by a wheel type moving device in the vertical direction when the wheel type moving device moves on an uneven road surface, and consequently bolt looseness, wire harness interface looseness, material fatigue strain and the like occur can be effectively solved; and therefore, the wheel type moving device has a fault in the operation process and cannot stably operate, and the like.

The invention relates to the technical field of aero-engines, and discloses a wheel disc low-cycle fatigue test load coefficient determination method, a wheel disc low-cycle fatigue test load coefficient determination device and application of the wheel disc low-cycle fatigue test load coefficient determination method. Based on stress characteristics and temperature characteristics of key parts of a wheel disc in an engine state, reasonable determination of a low-cycle fatigue test load coefficient of the wheel disc and conversion of the fatigue life of the wheel disc are realized by comprehensively considering the influence of a peak-valley value stress ratio of the wheel disc in a working state on the fatigue life of the wheel disc and a change rule of material performance along with temperature. The safety risk caused by the fact that the load coefficient deviates from the reality is reduced, and the design and use of the wheel disc are safer and more reliable; by correcting the load coefficient, the fatigue damage of the engine in the test state can be truly reflected, so that the safe life of the wheel disc is effectively determined, and support is provided for the life management of the wheel disc.

The present application relates to a kind of electromagnetic linear reciprocating motor, it is characterized in that the end of elastic connecting piece and support frame connection is equipped with the connecting arm of transverse extension, and make the at least partial edge of both sides of electromagnet in horizontal direction exceed the joint of connecting arm and support frame and support under connecting arm.Effective effect is to increase connecting arm, interval can be formed between elastic connecting piece and support frame, not only play the role of connection and fixation and limit the displacement of swing frame in vertical direction, realize the linear reciprocating swing of swing frame.Meanwhile, it can also use the partial edge of both sides of electromagnet to support the connecting arm, reduce the external force borne by connecting arm, avoid the joint of connecting arm and support frame to produce material fatigue and deformation, prevent the joint of connecting arm and support frame from material fatigue and deformation collapse, ensure the parallelism of permanent magnet and swing frame linear reciprocating swing and the cooperation precision and hair trimming performance of the moving blade and static blade above swing frame.