251 results about "Coupling effect" patented technology

The invention provides a third-generation semiconductor device multi-physical field coupling effect dynamic monitoring method and system, and relates to the technical field of semiconductors, and the method comprises the steps: collecting the data of a temperature field, an electric field, a magnetic field and a stress field through a complementary sensor array, constructing a feature tensor, inputting the feature tensor into a pre-trained graph neural network, and extracting a coupling effect dynamic evolution rule; on-line analysis and prediction are carried out by using an adaptive time window and a recurrent neural network, a multi-field coupling correlation degree evaluation model is established, an early warning level is determined according to the deviation between the coupling correlation degree and an early warning threshold value, and device risk evaluation and maintenance suggestions are generated, so that early warning of the failure risk of the semiconductor device is realized.

The invention discloses a multi-disaster disaster risk grade coupling evaluation method. The method comprises the following steps: establishing a multi-dimensional database covering multiple disaster types; key features related to the disaster risk are extracted from the multi-dimensional database; establishing a risk assessment model according to the key features, and determining a plurality of single-disaster risk levels; identifying association rules, causal relationships or space-time coupling modes among different disasters by using a big data mining algorithm; coupling weights among different disasters are determined, and a coupling model is constructed to convert a coupling relation into a quantitative risk superposition effect; based on the coupling model, a single-disaster risk and a coupling effect are integrated, a multi-disaster comprehensive risk level is generated, through multi-dimensional data integration, quantitative coupling modeling and a dynamic adjustment mechanism, advantages are formed in evaluation precision, social and economic adaptability and model adaptability, and the method is more suitable for scenes needing accurate risk grading and decision support.

The invention discloses a life prediction method and device for an accelerated test product and electronic equipment, and the method carries out typical failure mechanism analysis based on fault data, so as to determine a key device and sensitive stress of a target product. And carrying out clustering analysis on the fault data related to the key device, and determining the failure contribution rate of each sensitive stress to the target product. And according to the failure contribution rate corresponding to each sensitive stress, carrying out a multi-stress accelerated life test of the target product. And training the neural network model by adopting test data of the multi-stress accelerated life test. The accelerated test life of a target product under the target stress condition is predicted by using the trained neural network model, life prediction of the accelerated test product is realized, the neural network model is trained by using a multi-stress accelerated life test based on fault physics, the influence of the coupling effect between environmental stresses on the product is emphasized, and the service life prediction of the accelerated test product is realized. Therefore, the model better conforms to the actual application process of the product, and the life prediction precision is improved.

The invention discloses a multifunctional experimental device capable of realizing a wind wave coupling effect, which comprises a deep water experimental area, a transition experimental area and a shallow water experimental area, and is characterized in that a lifting floating bottom mounted at the bottom of a water tank can simulate the elevation change from a deep sea to a shallow sea seabed; a wind generating system is assembled above the water tank and is matched with the flow guide arrays on the two sides to provide a high-quality wind field for the experimental water tank; the L-shaped wave maker can make multi-directional irregular waves, the wave flow experiment water tank and the wind making system are used for constructing a target joint field required by an experiment, and the whole process that the waves are gradually propagated from deep sea to shallow sea under the wind wave coupling effect can be achieved. The device has multiple functions of wind generation, wave generation, current generation and the like, has the function of simulating various load factors which mainly influence ocean engineering structures, and compared with an existing experimental device, the device can achieve the real wind and wave coupling effect, more truly and completely simulate the whole process of ocean wave propagation, and the experimental device has the advantages of being simple in structure and convenient to use. And a more accurate marine simulation environment is provided for experiments.

The invention discloses a thermoelectric enterprise safety management system and method based on integration, and relates to the technical field of thermoelectric production safety control. The system performs quantification processing on the collected real-time disturbance data set through a preset coupling algorithm to generate a risk pre-coupling factor representing a multi-source disturbance coupling risk; generating a predicted operation state of a future time node in combination with a current operation state set representing the operation condition of the equipment; the prediction operation state is compared with a preset operation safety threshold value, the safety and stability margin is calculated, an original control target of the unit is dynamically adjusted, and the system generates a prediction error by comparing the prediction operation state with a subsequently collected actual operation state; and the prediction model correction parameters of the prediction model are corrected by using the prediction error, and online adaptive adjustment of the prediction model is realized, so that quantitative evaluation of multiple disturbance coupling effects is realized, and a decision basis is provided for predictive risk prevention and control.

The invention discloses a multi-axis multi-field coupling fatigue test device, and belongs to the technical field of material testing. The device comprises a rack, a multi-axis loading unit, an environment simulation unit, a dynamic sealing interface and a cooperative control system. The core of the device is that the test sample can simultaneously bear the coupling effect of multi-axis mechanical stress (pulling, pressing and twisting) and various environmental fields (such as high and low temperatures, corrosive media, illumination and electric fields) through a highly integrated design; and the dynamic sealing problem of the actuator rod in the environment box is solved through an innovative dynamic sealing interface (such as labyrinth-magnetofluid composite sealing). According to the invention, accurate linkage control of multiple channels is realized through the cooperative control system, the service environment of key parts under actual complex working conditions can be truly simulated, and a reliable test platform is provided for failure analysis and life prediction of products under multi-field coupling.

The invention relates to a fault stability evaluation method considering a pressure-stress coupling effect. The method comprises the following steps: calculating a pressure-stress coupling ratio according to target layer rock mechanical parameters or field actual measurement pressure and ground stress data; fault three-dimensional structure modeling is carried out based on the seismic interpretation result, and fault occurrence distribution is simulated and calculated; analyzing and calculating the initial stress of the section and the stress after the coupling action by combining the three-way principal stress, wherein the stress comprises shear stress and effective normal stress; a quadratic equation of unary about fault instability critical pressure is constructed, and fault instability risk types are judged in combination with the actual pressure limit of oil field production; and calculating the critical pressure of fault instability under different risk types. According to the method, the influence of the pressure-stress coupling effect on the fault stability can be considered, so that the fault stability evaluation result is more practical.

According to the cold region slope multi-field coupling effect simulation test device and method, the device is composed of a freeze-thaw environment test box, a slope model, an anchor rod axial loading system, a crack water injection assembly and a multivariate data monitoring system, and the multi-physical field coupling effect of freeze-thaw cycle, crack water permeation and long-term creep can be simulated. By dynamically adjusting the temperature gradient and graded loading parameters, data of a stress field, a temperature field and a displacement field can be collected in real time, the influence of different freeze-thaw conditions and creep drawing loads on a slope damage mechanism can be analyzed, a key test means is provided for revealing the strain rate effect, the aging deformation characteristics and the instability criterion of the slope in the cold region, and the test efficiency is improved. The method has an important guiding value for stability evaluation and disaster prevention and control of the cold region slope engineering.

The invention discloses a crack detection device for engineering detection, and relates to the technical field of crack detection, the crack detection device for engineering detection comprises an underwater mechanical arm, a visual camera, an opening and closing mechanism, a pulse high pressure water cleaning mechanism, a coupling agent filling mechanism and an ultrasonic transducer; the pulse high-pressure water cleaning mechanism can clean cracks and peripheral impurities in all directions, and interference of the cracks and the peripheral impurities on detection signals is avoided; the coupling agent filling mechanism is used for accurately filling a coupling agent to guarantee stable transmission of ultrasonic waves; the underwater mechanical arm cooperates with the opening and closing mechanism to realize accurate positioning and operation, and the visual camera provides real-time image assistance; multiple functions are integrated, all mechanisms work cooperatively, the problems that in the prior art, impurity cleaning is difficult, the coupling effect is poor, equipment positioning and operation are inconvenient, and the function is single are effectively solved, the accuracy, reliability and efficiency of underwater crack detection are remarkably improved, and powerful support is provided for safety detection of an underwater engineering structure.

The invention discloses a U-shaped aqueduct prestress multi-beam cooperative tensioning control method and system. The method comprises the steps that S1, a quantitative derivation model is constructed, based on an aqueduct structural mechanical equilibrium equation, a prestress coupling effect item is introduced for calculation, a prestress coupling matrix is output, and an initial tensioning sequence is derived; the device is simple in structure, and an initial tensioning sequence is deduced by establishing a mechanical equilibrium equation and introducing a coupling effect item; meanwhile, stress / displacement deviation data collected by a monitoring system in real time are fed back to an edge calculation terminal to calculate a control strategy in real time, adjustment is executed by a tensioning device, and therefore a field data closed-loop optimization mechanism is constructed, the tensioning force and sequence can be dynamically corrected, the limitation of a static model is broken through, and the construction efficiency is improved. And a displacement constraint term is introduced as a punishment or control condition in the optimization process, so that deformation overrun of key parts of the structure is effectively prevented, and the precision, safety and intelligent level of prestress construction are remarkably improved.

The invention belongs to the technical field of current safety production, and provides a current linkage early warning method under a coal mine underground multi-motor coupling effect, which comprises the following steps of: setting a sensor network, and collecting a historical current sequence and a historical working condition sequence of each motor, marking abnormal working conditions and corresponding omen working conditions in a historical working condition sequence of each motor, setting a monitoring window, judging whether the abnormal working conditions or the omen working conditions exist in the monitoring window or not, if not, triggering current prediction, and constructing a fusion prediction model which comprises a time sequence current prediction model and a time sequence working condition prediction model, and obtaining a motor group coupling model established by basic information of each motor, predicting each motor through a fusion prediction model to obtain a predicted current sequence of each motor, analyzing a historical current sequence in the monitoring window and the predicted current sequence obtained through prediction, analyzing current abnormity of the motor, and performing early warning.

The invention discloses an ultra-high-temperature heavy-load self-aligning roller bearing optimization design method and system based on a particle swarm algorithm, belongs to the field of rolling bearing optimization design, and solves the problems that a traditional bearing design process is low in efficiency, and multi-target collaborative optimization is difficult to achieve. And the design method combining the empirical formula and the finite element model is poor in precision due to the strong coupling characteristic of the material nonlinearity, the thermal coupling effect and the bearing performance under the ultra-high-temperature heavy-load working condition. The method comprises the following steps: S1, determining a bearing parameter, a working condition parameter and a particle swarm algorithm parameter; s2, establishing an optimization model of the ultrahigh-temperature heavy-load self-aligning roller bearing: S21, establishing a target function; s22, determining a design variable; s23, establishing a constraint equation; and S3, optimizing corresponding parameters of the bearing by adopting a particle swarm algorithm to obtain an optimization result. The method is suitable for a self-aligning roller bearing optimization design scene.

The invention discloses a simulation method and system for progressive damage and failure removal of a composite material, and belongs to the field of computer-aided engineering, and the method comprises the following steps: S1, coupling solving: solving a partial differential control equation set describing heat transfer and solid mechanics, and considering a coupling effect caused by thermal strain and the influence of temperature on material attributes, obtaining the temperature field and displacement field distribution of the current time step or iteration step; s2, material state calculation: on the basis of the temperature and the displacement field obtained in the coupling solution step, calculating the material state of an integral point of each unit in the model by using a predefined composite material constitutive model; and S3, unit processing and grid updating: after the material state calculation is completed, executing unit processing and grid updating. According to the invention, the final failure behavior of the structure can be predicted more comprehensively and accurately.

The invention provides a method for analyzing the composite bearing capacity of an ocean engineering shallow foundation, which comprises the following steps of: describing the soil property by combining a corresponding constitutive model through a finite element analysis method, establishing a shallow foundation-multilayer foundation soil interaction model, systematically exploring a shallow foundation damage mechanism under the action of each combined load through multiple groups of probe tests, and analyzing the composite bearing capacity of the ocean engineering shallow foundation. According to the method, the coupling effect between the load components is researched, normalized damage envelope surfaces in different load planes are obtained and fitted into algebraic expressions for checking the bearing capacity of the shallow foundation, and the bearing capacity calculation efficiency can be greatly improved. According to the method, for shallow foundations of different sizes and different load combinations, repeated modeling analysis is not needed, the corresponding ultimate bearing capacity can be directly obtained by writing the envelope line equation into an automatic calculation program and inputting design conditions, the design efficiency is remarkably improved, and the shallow foundations can be popularized and applied in offshore engineering projects.

The invention discloses an experimental device and an experimental method for gas / dust explosion flame-shock wave superposition coupling effect and combustible medium explosion transition induced by gas / dust explosion flame-shock wave superposition coupling effect under multi-parameter influence. Comprising a visual explosion system, a gas leakage diffusion system, a powder leakage diffusion system, an ignition system, a gas supply system, a powder spraying system, a discharge system, a displacement regulation and control system, a data acquisition system, a synchronous controller and a program control and data acquisition system. According to the experimental device and the experimental method for the gas / dust burning flame-shock wave superposition coupling effect under the influence of the multiple parameters and the induced combustible medium burning explosion transition thereof, the action processes of mutual impact, superposition, coupling and the like of detonation / detonation head-on flame-shock wave under the multiple working condition parameters can be realized; and the experimental study on the process of inducing the leakage diffusion combustible medium explosion transition and the critical condition thereof fills the technical blank of the study on the explosion flame-shock wave coupling effect process and the secondary disaster evolution mechanism induced under the influence of multiple parameters.

The invention relates to the technical field of gear mechanical calculation, in particular to a spur gear and rolling bearing transmission system analysis method, device and equipment and a medium. The method comprises the steps that spur gear design and working condition parameters are obtained, and the meshing process is analyzed to obtain initial meshing rigidity; constructing a transmission dynamics model, and introducing initial rigidity to solve an initial dynamics response; analyzing a meshing process under bearing deformation based on the response, and obtaining a corrected meshing position; the gear tooth stress and tooth surface lubricating state is analyzed based on the position, and the corrected meshing rigidity and the tooth surface friction coefficient are obtained; introducing parameters and solving to obtain a corrected dynamic response; judging whether an iteration stop condition is met or not, and if not, replacing the initial response with the corrected response to repeat the analysis; according to the method, the meshing position, the rigidity and the friction coefficient are dynamically corrected through an iteration mechanism, the coupling effect of bearing deformation and tooth surface friction is considered, and the analysis precision of a straight gear-rolling bearing transmission system is effectively improved.

The invention relates to a doubly-fed induction generator (DFIG) fault detection and early warning method based on multi-scale latent variable regression (MSLVR), is suitable for multiple fault types and complex coupling effect scenes, and belongs to the technical field of fault detection. According to the method, firstly, key coupling variables influencing the DFIG are analyzed and selected from the angle of information theory, and the time scale is expanded through multivariate variational mode decomposition (MVMD), so that the data quality is optimized. Then, aiming at the defect that latent variable regression (LVR) is difficult to pay attention to the local influence of a sub-mode in multi-scale data processing, designing a serial architecture to gradually extract and eliminate interference of different components; and the residual subspace is processed by further combining principal component analysis (PCA), so that the online detection method capable of identifying early DFIG faults is developed. Through training and optimization, the model is finally stored for calling, the influence of the coupling effect on the DFIG can be effectively eliminated, efficient and accurate fault detection and early warning can be realized in various fault type scenes, and the detection accuracy is obviously superior to that of the existing mainstream method.

The invention relates to the technical field of power equipment fault detection, in particular to a fault detection method for a cable branch box, and aims to solve the problems that a single monitoring means is generally adopted in a traditional method, corrosion of connecting pieces is accelerated by condensation in the box, and the coupling effects such as insulation performance reduction in a high-temperature environment cannot be effectively recognized. Through multi-modal data acquisition, dynamic threshold adjustment and fusion model analysis, coupling analysis of the cable state and the environmental parameters is realized, the problems of data splitting, early warning lag and positioning fuzziness of a traditional method are solved, and the method has the advantages of integrating multi-dimensional monitoring data, dynamically adjusting a fault judgment standard and improving fault positioning precision.

The invention provides a surrounding rock creep anchor rod timeliness test system under a high ground stress-high temperature coupling effect, and the system comprises a sample, an anchor rod drawing loading system, a confining pressure pressurization assembly, a heating assembly and a data monitoring assembly, and the confining pressure pressurization assembly and the heating assembly apply confining pressure and a temperature field to the sample; the high ground stress-high temperature coupling environment of the deep composite rock mass is simulated, a sample is placed in the high ground stress-high temperature coupling environment of the simulated deep composite rock mass, various parameter data of the sample are detected in real time through the data monitoring assembly, and then various parameter data monitored by the data monitoring assembly in real time are analyzed, so that the high ground stress-high temperature coupling environment of the deep composite rock mass is simulated. The influence of the creep effect of the deep composite rock mass on the anchoring performance of the anchor rod is deeply researched, so that the anchoring interface damage evolution rule under the multi-strain-rate coupling effect is disclosed.

The invention provides an aviation thin-wall curved surface structure assembly coordination error accumulation transfer calculation and evaluation method and system.The method comprises the steps that firstly, an assembly mechanical state and measured data are fused, multi-source errors are analyzed and represented through the coupling effect of multiple physical fields, and an assembly error transfer path is constructed; according to the structural characteristics of the aviation thin-wall structure parts, an error transfer value between part assembly is quantitatively represented, an assembly deviation transfer calculation matrix is updated in combination with the real-time mechanical state of the aviation thin-wall structure, and accurate calculation of the assembly error of the thin-wall parts is achieved; thirdly, quantitatively evaluating the composite thin-wall surface assembly appearance error cumulative effect by combining the actually measured force and position data of the key feature points; and finally, optimizing the assembly process based on the accurate calculation and quantitative evaluation result of the assembly error. According to the method, the problems of high uncertainty of assembly precision transmission, forced shape correction after the event and the like caused by a traditional assembly process coordination method mainly based on geometric quantity control can be solved.

The invention discloses a cascade H-bridge frequency converter multi-fault source identification method. The method comprises the following steps: acquiring real-time time sequence data of a frequency converter on line; generating a real-time system residual function representing system deviation by using a physical information health system operator which performs dynamic weight modulation through the working condition state vector; and a three-layer cascade operator decomposition architecture considering physical topology constraints is adopted to decompose the residual function so as to identify a single fault and a coupling effect. The method can adapt to dynamic working conditions, effectively suppress pseudo residual errors, accurately decouple concurrent faults, and significantly improve the accuracy and robustness of diagnosis.

The invention relates to the technical field of hydraulic pump simulation, and discloses a hydraulic pump airtightness multi-physics coupling simulation method. According to the method, a three-dimensional geometric model is established based on structural parameters of the hydraulic pump, multi-physical field coupling boundary conditions such as a fluid field, a temperature field and a stress field are set, and then dynamic grid division is performed to generate an adaptive grid topological structure. And inputting the boundary conditions into a coupling solver, carrying out iterative calculation to obtain initial simulation data, optimizing the grid model according to residual error distribution, executing multi-field coupling simulation calculation by utilizing the optimized model, and outputting a result. Wherein the coupling solver is trained and constructed through historical experimental data, grids can be locally encrypted or sparsely processed, simulation results are classified and stored, an access key is set to guarantee safety, and the solver can be optimized according to different working conditions. According to the method, the multi-physical field coupling effect can be comprehensively considered, the simulation precision and the calculation efficiency are improved, and effective support is provided for air tightness research and design optimization of the hydraulic pump.

The invention provides a dangerous rock degradation and collapse simulation test system and method under a multi-field coupling effect, and the system comprises a flexible stress loading device which provides a vertical stress for a dangerous rock mass sample to enable the sample to have the same stress level as a natural state; a dangerous rock mass sample is used for simulating various collapse modes by controlling the angle of a soft belt and a hollowed-out area; the corrosion device is used for providing a dry-wet cycle and osmotic pressure environment for the dangerous rock mass sample; the data acquisition device is used for recording surface displacement, acoustic characteristics and external factors of the rock mass along the soft zone; the damage degree calculation device is used for calculating the damage degree of the dangerous rock mass under multi-field coupling; the safety coefficient calculation device is used for obtaining the safety coefficient of the dangerous rock mass under multi-field coupling; and the safety evaluation device is used for constructing an evaluation model and evaluating the safety state of the dangerous rock mass. According to the method, collapse simulation caused by degradation of the soft belt under the multi-field coupling effect is achieved, and the problems of early-stage safety evaluation and graded early warning of dangerous rock instability based on multi-index fusion are solved.

The invention discloses a master-slave shaft suppression coupling buffer damping method, and relates to the technical field of servo driver damping. The method comprises the following steps: realizing real-time communication and motion parameter exchange between a main shaft servo driver and a slave shaft servo driver through a special interface communication cable, calculating the torque upper limit of the slave shaft driver according to the torque of the main shaft driver and a preset damping parameter, and enabling the slave shaft driver to reversely move to offset the impact momentum of the main shaft; meanwhile, the speed and acceleration of the main shaft are obtained, the slave shaft driver moves reversely at the matched speed and acceleration, and it is ensured that the slave shaft driver can bear the impact of the main shaft by considering the load ratio. The method can effectively reduce the coupling effect and vibration, improve the stability and precision of the system, adapt to different working conditions, simplify the design and control process, and prolong the service life of the system.

The invention discloses an MEMS structure stress distribution analysis and optimization method in a micro-nano processing technology, and relates to the technical field of optimization design. The method comprises the following steps: step 1, determining geometric parameters and material parameters of each layer of structure of the MEMS multi-layer composite structure, and constructing a stress field of the MEMS multi-layer composite structure; based on a piezoelectric elastic coupling effect, according to the stress field, establishing a piezoelectric equation; according to the strain tensor, based on a thermal coupling effect, solving a thermal coupling equation to obtain temperature distribution; 2, correcting the stress field according to the temperature distribution to obtain a corrected stress field; performing fatigue evaluation by using a preset fatigue accumulation evaluation model to obtain a fatigue damage accumulation coefficient; and step 3, setting constraint conditions according to the step 1 and the step 2, constructing an objective function according to the fatigue damage accumulation coefficient, and solving the objective function through iteration. The stability, the reliability and the service life of the MEMS device in a complex working environment can be effectively improved.

The invention provides a temperature control method and device of ALD equipment and electronic equipment, relates to the technical field of general control or regulation systems, and aims at controlling the power of a heating device in the ALD equipment at the next moment so as to control the temperature in a reaction chamber of the ALD equipment. Dynamically estimating a control parameter generated by a control output signal through a recursive least square algorithm according to a temperature measured value at the current moment, the control output signal at the previous moment, a parameter error estimation covariance and a corresponding forgetting factor; furthermore, decoupling processing is carried out on the coupling effect between the heating devices based on a decoupling algorithm, so that mutual influence between the temperature zones is brought into the control process in the temperature control process of the ALD equipment, decoupling compensation is realized from the aspect of algorithm, the purpose of optimizing the temperature control effect is achieved, the time for waiting for temperature stability is shortened, and the temperature control efficiency is improved. And the temperature control efficiency is improved.

The invention discloses a chip parameter verification method and device, equipment and a storage medium. The chip parameter verification method comprises the steps of sampling a to-be-tested parameter space of a chip to obtain a parameter point file; performing a regression test on the parameter point file to obtain verification test results, and associating each verification test result with the corresponding parameter point to obtain a data pair set; performing parameter point iteration prediction on the set through a model according to the data; and when it is determined that the predicted parameter points meet the optimization target, taking the predicted parameter points as to-be-applied target parameter points of the chip. The parameter point file is obtained by sampling from the to-be-tested parameter space, and the sampling result is used for the regression verification test, so that the number of tasks needing to be executed is reduced, the overall verification investment is reduced, fitting and prediction are carried out through the model according to the verification test result, the coupling effect and hidden defects among parameters are conveniently found, and the verification efficiency is improved. And the accuracy of the determined target parameter is improved.

An intelligent compensation method for coupling errors of a dynamic gravimeter comprises the following steps: selecting typical environment interference influencing the dynamic gravimeter in a complex measurement environment, and analyzing an influence mechanism of each typical environment interference on the measurement accuracy of the dynamic gravimeter; according to the influence mechanism under each typical environment interference, analyzing a coupling error influence mechanism between the typical environment interferences; based on the coupling error influence mechanism, constructing a coupling error comprehensive compensation model; adding the coupling effect loss into a data-driven loss function, and defining a model coefficient constrained by physical information; and performing model training by using the training data, and calculating the total loss of the verification set on the obtained model to obtain a final coupling error comprehensive compensation model. According to the invention, the coupling error of the dynamic gravimeter in a complex environment is compensated based on coupling error mechanism analysis and a physical constraint long-short-term memory model, and the measurement precision and environmental adaptability of the dynamic gravimeter under complex multi-factor interference conditions are improved.

The invention relates to the technical field of transformer testing, and discloses a transformer testing device and method, and the device comprises a device housing which is internally provided with an axial through hollow cavity; the testing cylinder is coaxially fixed in the hollow cavity of the device shell, and the outer surface of the testing cylinder is used for winding a winding coil to be tested; the main shaft is arranged in a penetrating mode in the axis direction of the testing cylinder, and the two ends of the main shaft extend out of the device shell; the at least three groups of secondary shafts are uniformly distributed around the main shaft in the circumferential direction; the linkage mechanism is arranged between the main shaft and the secondary shaft and used for converting the axis spinning motion of the main shaft into the radial expansion motion of the secondary shaft; according to the scheme, axial compression force and radial expansion force can be synchronously or independently applied through the main shaft and secondary shaft linkage mechanism, compared with a traditional device which can only apply force in one direction and accurately simulate the multidirectional electromagnetic force coupling effect borne by a winding coil when the transformer is short-circuited, the test result is closer to the actual working condition.

The application discloses a kind of thin-walled part double-sided milling processing system dynamics modeling method, the coupling effect between the tool radial vibration and the vibration in the thickness direction of thin-walled part is considered first in the method, the dynamic cutting thickness corresponding to each blade microelement of milling cutter located on the two sides of thin-walled part is calculated, then the dynamic cutting force acting on tool-thin-walled part system is calculated.The cutting force perpendicular to the thickness direction of the two sides of thin-walled part is applied to the milling cutter on the two sides respectively, the resultant force of the cutting force in the thickness direction of thin-walled part is applied to thin-walled part itself, the dynamics control equation of thin-walled part double-sided milling processing system is established, and the stability solution is carried out to the equation.Compared with the given document, the coupling effect between the tool radial vibration and the vibration in the thickness direction of thin-walled part is considered in the application to establish the cutting force and dynamics model of thin-walled part double-sided milling processing system, and the prediction accuracy of thin-walled part double-sided milling stability lobe diagram is improved.