419 results about "Axial vibration" patented technology

The invention discloses a nickel-based alloy additive manufacturing method for high-frequency ultrasonic dynamic forging printing. The method comprises the steps that nickel-based alloy powder and a base plate are pretreated; scanning the nickel-based alloy powder layer by layer through laser to form a molten pool; in the machining process of each layer, when the temperature of the molten pool ranges from 1000 DEG C to 1400 DEG C, ultrasonic waves are activated to generate compound vibration; the composite vibration comprises axial vibration and transverse vibration; when the ultrasonic vibration phase difference reaches a preset first interval, short pulse laser is triggered; the ultrasonic vibration phase difference is a phase deviation between an ultrasonic vibration waveform and a pulse laser shock triggering moment; and until all layers are machined, a formed part is obtained. According to the scheme, the dislocation density is improved, secondary grain refinement and bubble escape are achieved, and interlayer stress redistribution is made uniform.

The axial vibration reduction device comprises a displacement sensor and an axial vibration reduction assembly which are arranged on a rotating shaft of the speed reducer, and further comprises a pre-amplifier, an acquisition and analysis module, a control module and a power supply module. The axial vibration reduction assembly comprises a magneto-rheological elastomer, a magnetism isolating ring, a magnet exciting coil and a metal shell which are sequentially arranged around the rotating shaft from inside to outside. The control module adjusts the rigidity of the magneto-rheological elastomer by changing an electric signal of the magnet exciting coil so as to achieve stepless adjustment of the axial damping force of the rotating shaft, axial vibration loads are attenuated through the magneto-rheological elastomer and then transmitted to the pure iron shell and the base, and the axial vibration reduction effect is improved. The multiple angular contact ball bearings are arranged to block direct impact of vibration loads in two directions one by one, disturbance caused by different vibration loads due to different vibration directions is avoided, more vibration loads are eliminated by the magnetorheological elastomer, and the axial vibration reduction efficiency is further improved.

The invention discloses a wind power digital twinning robustness detection method based on time-frequency revolving door perception matching, and the method comprises the steps: obtaining a fan detection signal generated by digital twinning and a fan detection signal collected by a sensor, the fan detection signal being the temperature, radial vibration, axial vibration, current, voltage or power of a fan; the two kinds of fan detection signals are preprocessed through a rotating door algorithm SDA so that the characteristic frequency amplitude error of the preprocessed fan detection signals can be smaller than a preset threshold value; and respectively updating receptive fields of the corresponding convolutional neural networks based on the preprocessed fan detection signals so as to determine the number of convolutional layers of the convolutional neural networks, and outputting the difference between the number of convolutional layers of the convolutional neural networks of the two fan detection signals as a robustness detection result of digital twinning. The invention aims to improve the data processing capability, solve the problem of misdiagnosis possibly caused by spectrum deviation and aliasing and signal abrupt change when the signal stably changes, and improve the accuracy of robustness judgment.

The invention relates to a damping spring device suitable for industry or life, in particular to a magnetic damping spring. The magnetic damping spring comprises a supporting cylinder, a force guiding piston, a force guiding piston blocking piece, a supporting rod and two or more magnets. The force guiding piston blocking piece is arranged on the upper portion of the supporting cylinder. The supporting cylinder is of a cylindrical structure, one end of the supporting cylinder is sealed and is a bottom surface, and the other end is of an opening structure for the supporting rod to penetrate; the lower end of the supporting rod penetrates through the force guiding piston blocking piece to be connected with the force guiding piston, and the upper end extends out of an opening in the upper end of the supporting cylinder. A groove is formed in the inner bottom surface of the supporting cylinder, and a magnet A is placed in the groove; a groove for placing the magnet B is formed in the lower bottom surface of the force guiding piston; the supporting rod can conduct resultant force of vertical vibration generated by axial vibration, horizontal vibration and vertical vibration to the force guiding piston, the force guiding piston drives the magnet B to extrude downwards to generate repulsive force which is gradually increased with the distance space of the magnet A, the repulsive force is used for buffering vertical vibration force conducted by the force guiding piston, and therefore the damping effect is achieved.

The invention relates to the technical field of tunnel blasting vibration monitoring, in particular to a tunnel blasting vibration monitoring and early warning integrated system based on lining crack conditions. According to the method, blasting vibration characteristic data are extracted from triaxial vibration signals of different key points in the tunnel blasting process, correlation analysis is carried out on the blasting vibration characteristic data and vibration characteristic data of corresponding reference points to judge the relevance between blasting vibration and crack response, and accurate judgment on the relation between blasting vibration and lining cracks is achieved; when blasting vibration and crack response have relevance, a dynamic safety threshold value is determined according to the lining crack health degree before tunnel blasting, and the dynamic safety threshold value is compared with vibration characteristic data in real time to trigger graded early warning; when blasting vibration and crack response are not correlated, the change rate of crack characteristic data is analyzed through comparison of lining crack conditions in multiple periods, the autonomous extension risk of cracks is predicted, reinforcement early warning is triggered, timely and reliable guarantee is provided for tunnel construction and operation safety, and lining cracks are effectively prevented from deteriorating.

The invention discloses a method, a system, a medium and equipment for quickly judging the axial stability of an external short-circuit winding of a power transformer. In the method, a power transformer winding axial vibration calculation model is established; through changing a short-circuit current amplitude, a cushion block stress-strain curve characteristic value and a pre-tightening force, a critical condition of separation of a wire cake and a cushion block of a winding is obtained, and a three-dimensional map of a wire cake-cushion block vibration separation critical state is drawn. An axial stability analysis system when the power transformer is subjected to external short-circuit impact in an operation state is constructed, a computer is deployed locally to operate a calculation instruction corresponding to the method, and a short-circuit current peak value is extracted according to a current recording diagram of the power transformer under an external short-circuit fault; and determining a fault point location in the three-dimensional atlas according to the actual pre-tightening force of the winding and a cushion block stress-strain curve, and quickly judging the axial stability of the external short-circuit winding according to the relative relationship between the fault point location and a critical state interface.

The invention provides a method and equipment for calculating hysteresis loss of an axial electromagnetic bearing, and belongs to the technical field of hysteresis loss calculation. The method comprises the following steps: establishing an equivalent magnetic circuit model; under the condition of axial vibration of the thrust disc, magnetomotive force is calculated, and total dynamic magnetic flux is determined through an equivalent magnetic circuit model; establishing a quantitative relationship between any two of the maximum magnetic flux density amplitude, the magnetic hysteresis loss and the angle parameter representing the magnetic hysteresis effect; taking magnetomotive force as magnetic field excitation, taking total dynamic magnetic flux as magnetic field response, and constructing complex permeability based on a quantitative relation; updating the equivalent magnetic circuit model by using the complex permeability; solving the maximum magnetic flux density amplitude of each region of the iron core under the dynamic working condition through iterative calculation; calculating the hysteresis loss of each region based on the quantitative relation and the maximum magnetic flux density amplitude of each region; and the total magnetic hysteresis loss is calculated. Based on the method, the invention further provides calculation equipment for the hysteresis loss of the axial electromagnetic bearing. According to the method, the hysteresis loss of the axial electromagnetic bearing under the dynamic operation condition can be accurately calculated.

The invention discloses a magnetic nanoparticle concentration distribution inversion method and a related device, and relates to the technical field of biomedical engineering.The method comprises the steps that firstly, magnetic nanoparticles in biological tissue are excited through an external magnetic field to generate infinitesimal displacement; and then ultrasonic equipment is adopted to collect ultrasonic ultrafast plane wave imaging data and carry out axial vibration displacement detection, axial vibration displacement actual measurement data and corresponding discrete space and time coordinates are input into the inversion model for iterative inversion, and a magnetic nanoparticle concentration distribution inversion result is obtained. A loss function of the inversion model includes a data-driven loss item and a physical information-driven loss item (based on a Navie equation). Compared with the prior art, the method has the advantages that the physical information neural network is introduced, control equations such as a nano-dimension equation and the like are encoded to the full-connection neural network, physical equations do not need to be excessively simplified, complex and time-consuming modeling for an experimental environment is not needed to obtain simulation data, and higher accuracy and stability are achieved.

A weight with optimum weight and high strength can be easily manufactured and the vibration actuator with excellent vibration characteristic is provided. The vibration actuator is formed by a casing 2 with cylindrical shape, a coil 21 provided in the casing 2, and a mover 4 that vibrates along an vibration-axis direction of the casing 2. The mover 4 includes a mover body and a weight fixed to the mover body. A protrusion 311 protruding toward an opening of the casing 2 is provided at a central portion of the mover body, and a recess 321 which is recessed toward the opening of the casing 2 is provided at the central portion of the weight 32. The mover body and the weight 32 is fixed in a state in which the protrusion 311 is inserted into the recess 321.

Disclosed is a multi-modal and multi-degree-of-freedom piezoelectric active vibration isolation platform and a working method therefor. The piezoelectric active vibration isolation platform includes an upper platform, a lower platform, a control module, and four vibration isolation modules, where the vibration isolation module includes a passive vibration isolation unit and an active vibration isolation unit; the passive vibration isolation unit includes an upper connector, a lower connector, a cross Hooke hinge, and a first acceleration sensor; the active vibration isolation unit includes a fixed beam, a pre-tightening bolt, a second acceleration sensor, and a driving component; the platform can provide active vibration isolation for the longitudinal (axial) vibration and the bending vibration in any radial direction of a vibration isolation object, and has the advantages of fast response, resistance to electromagnetic interference, and light weight.

The invention discloses an anti-vibration fixing device of a high-voltage foil winding new process dry-type transformer, and relates to the technical field of transformers, the anti-vibration fixing device comprises a supporting base, an adjustable supporting screw rod assembly and a multi-stage elastic damping assembly, the lower end of the adjustable supporting screw rod assembly is connected with the supporting base, and the upper end of the adjustable supporting screw rod assembly is connected with the multi-stage elastic damping assembly; the multi-stage elastic damping assembly is arranged between the adjustable supporting screw assembly and the coil end cover in series and used for absorbing axial vibration generated in the operation process of the coil, and an annular clamping base is installed on the side wall of the coil and used for restraining the radial direction of the coil and absorbing radial vibration. A guide positioning block is installed between the bottom of the coil and the supporting base. By installing the multi-stage elastic damping assembly, the function of segmented absorption and attenuation of coil operation vibration is achieved, the problem that a traditional single elastic element can only work in a limited frequency band and cannot suppress full-frequency-band vibration from dozens of hertz to hundreds of hertz at the same time is solved, the vibration isolation frequency band width is effectively expanded, noise is remarkably reduced, and the vibration isolation effect is improved. And the service lives of the coil and the box body are prolonged.

The invention discloses an aero-engine vibration fault positioning method based on multiple measuring points, and the method comprises the following steps: obtaining a rotating speed key phase signal of a rotor in an operation state of an aero-engine and a vibration signal of each measuring point of the aero-engine, the measuring points including an air inlet casing, an intermediate casing and a turbine rear casing, the vibration signals comprise an axial vibration signal, a radial vibration signal and a circumferential vibration signal; performing transient and steady state vibration phase analysis and order analysis on the rotating speed key phase signal and the vibration signal; and determining a fault type and / or an excitation source position according to phase analysis and order analysis results of each measuring point. According to the method, transient and steady state vibration phase analysis and order analysis are carried out on the vibration signals of the air inlet casing, the intermediate casing and the turbine rear casing of the aero-engine in the rotating state, then the fault type and the excitation source position are obtained, and the fault judgment accuracy is high.

The invention relates to the technical field of medical apparatuses and instruments, and provides a portable electric vibration micro fracture device which comprises a holding part, one end of the connecting rod assembly is connected with the holding part; the first end of the bent connector is detachably connected with the end, away from the holding part, of the connecting rod assembly, the second end of the bent connector is provided with an execution piece used for bone tissue punching, the interior of the bent connector is detachably connected with an axial vibration driving piece, and the axial vibration driving piece acts on the execution piece and is used for driving the execution piece to reciprocate in the axial direction of the axial vibration driving piece; the power supply assembly is embedded in the holding part and is electrically connected with the vibration driving assembly; the elbow connector and the connecting rod assembly are detachably connected, elbow connectors with different bending angles can be rapidly and conveniently replaced, and the operation requirements of different crowds are met; the axial vibration driving part can drive the executing part to do reciprocating motion in the axial direction, progressive punching is achieved through stable axial vibration, the risk caused by out-of-control operation force can be greatly reduced, and the operation safety is improved.

The invention belongs to the technical field of vibration tests, and discloses a multi-degree-of-freedom vibration test system. The multi-degree-of-freedom vibration test system comprises a test box, a working table, an axial vibration generator and a spherical hinge device, the test box is provided with a test cavity, and environmental factors of the test cavity can be adjusted; the working table is arranged in the test cavity and is used for placing a product; at least two groups of axial vibration generators are arranged outside the test box, and the two groups of axial vibration generators can generate two exciting forces which are perpendicular to each other or opposite in directions and are not collinear; and the spherical hinge device is arranged between the vibration end of each axial vibration generator and the working table. According to the multi-degree-of-freedom vibration test system, the working table is arranged in the test box, and the real working environment of the product is simulated by adjusting the environmental factors of the cavity, so that the multi-degree-of-freedom vibration test is performed on the product in the real working environment, and finally the vibration test requirements of various products in different environments are met.

The invention relates to the technical field of precoated sand casting, and discloses a precoated sand casting production line based on an intelligent casting island, the precoated sand casting production line comprises a machine body, a sand feeding pipe, a negative pressure sand suction pipe, a distance adjusting piece and a rotatable transmission shaft are respectively mounted in the machine body, and the distance adjusting piece is in transmission connection with two mold frames which are symmetrically arranged and have an adjustable distance; casting systems are arranged on the two mold frames, and each casting system comprises a toothed plate mounted on the machine body, a magnetic field generator mounted on the machine body, a casting frame capable of synchronously moving back and forth and left and right on the mold frames in a reciprocating manner, and a synchronous shaft capable of periodically and alternately rotating forwards and backwards. Technical breakthrough is achieved through the synergistic effect of the magnetic vibration coating and multi-mode vibration, Fe70Ga30 alloy nano-particles of the functional layer generate magnetic domain periodic orientation in an alternating magnetic field, micron-sized multi-axial vibration is excited, the surface of molding sand and a mold interface is deepened, intermolecular acting force is destroyed, deep-layer adhesive sand is stripped in a non-contact mode, and the surface of the mold is stripped in a non-contact mode. The problem that energy penetration of traditional impact type cleaning is insufficient is solved.

The invention discloses an ultrasonic vibration auxiliary electrochemical mechanical thinning method and device for a large-diameter wafer, and belongs to the technical field of large-diameter semiconductor wafer thinning, and the device comprises a grinding system, an electrochemical system and an electrolyte circulating system. The grinding system comprises a micro-feeding unit, a main shaft rotating unit and an ultrasonic vibration unit, and the main shaft rotating unit and the ultrasonic vibration unit drive the cup-shaped grinding wheel to rotate and axially vibrate. The electrochemical system takes a cup-shaped grinding wheel as a cathode and a wafer as an anode, and an electrolyte is supplied between the cathode and the anode to generate electrochemical reaction. In the thinning process, the surface of the wafer is subjected to anodic oxidation modification to generate a modification layer easy to remove, meanwhile, the generated modification layer is removed by the grinding wheel, the grinding wheel with ultrasonic vibration facilitates chip removal and heat dissipation, circulation of electrolyte can be enhanced, and then the electrochemical modification effect is improved; the annular structure of the grinding wheel has better removal uniformity under the vibration condition, and efficient, high-precision and low-damage large-diameter wafer thinning can be achieved.

The invention discloses a drill rod signal transmission monitoring control method, which comprises the following steps: capturing drill rod axial vibration waveform and peripheral magnetic field vector change data in real time, analyzing and marking potential resonance frequency points, calculating magnetic field intensity break variable, and judging a geomagnetic anomaly region; determining the relevance between a resonance frequency point and geomagnetic mutation through time alignment processing, and separating and coupling interference signals; generating an anti-phase damping wave according to the resonance frequency point, dynamically adjusting the amplitude, and injecting a pre-compensation phase to counteract carrier offset; the signal-to-noise ratio and the phase error after suppression are calculated in real time, and a parameter readjustment process is triggered to ensure the suppression effect; when the rock drilling vehicle enters a new rock stratum, parameters are automatically recorded and updated to adapt to different rock stratum interference characteristics; the drilling stability and the signal quality are obviously improved, and the equipment loss and the maintenance cost are reduced.

The invention relates to a distributed optical fiber micro-seismic sensing device and a tunnel monitoring method, and belongs to the technical field of micro-seismic monitoring, the distributed optical fiber micro-seismic sensing device comprises a plurality of vibration measurement sensitization assemblies installed on the same tunnel section, and the plurality of vibration measurement sensitization assemblies are connected through distributed sensing optical cables; distributed sensing optical cables in the vibration measurement sensitization assembly are arranged in the radial direction of the tunnel and used for monitoring vibration signals of hidden and micro crack development of surrounding rock near the tunnel face in the radial direction. During monitoring, the vibration measurement sensibilization assembly at the head end or the tail end of the distributed optical fiber microseismic sensing device is sequentially connected with the distributed optical fiber demodulator, the monitoring host and the monitoring center to form a microseismic sensing monitoring network. The method for monitoring the tunnel by adopting the distributed optical fiber micro-seismic sensing device can realize the axial and radial sensing of the vibration signal, and overcomes the defect that the distributed sensing optical fiber is only sensitive to the axial vibration signal but not sensitive to the radial vibration signal.

The invention relates to a detection and in-situ repair method and system for spinning yarn knots, and the method comprises the steps: applying high-frequency vibration to a twisting triangular area of a spinning frame, and separating loose fiber clusters attached to the surfaces of yarns through axial vibration; carrying out polarized light scanning on the surface of the yarn to obtain three-dimensional structure characteristics of the yarn, and identifying a candidate knot area with a sudden diameter change; an instantaneous stress pulse is applied to the candidate knot area, the local elastic response of the yarn is detected, the authenticity of the candidate knot area is judged, real knots show rigidity sudden change, and loose fibers show elastic attenuation; directionally spraying an atomized solvent to the area which is confirmed as a real knot to soften fibers, and meanwhile, applying radial compression force to redirect the fibers to recover the continuity of the yarn; the local temperature distribution of the repaired yarn is detected through infrared thermal imaging, and if the temperature is abnormal, secondary repairing is triggered or the yarn is marked as an unrepairable section. The method effectively solves the problems that a traditional method is high in misjudgment rate and poor in repairing capacity.

The invention discloses a fault diagnosis system for an aviation turboshaft engine, and relates to the technical field of fault diagnosis. An acquisition module acquires horizontal, vertical and axial vibration signals; the processing module is used for generating real-time feature vectors by introducing dynamic short-time Fourier transform, variational mode decomposition and singular value decomposition of an unfixed-width Gaussian window; the incremental diagnosis module calculates the matching degree between a real-time feature vector or a prediction feature vector and a known class through a dynamic expansion network, selects to belong to the known class or triggers an expansion mechanism according to an adaptive resonance theory, constructs joint loss by using a Bayesian learning framework after expansion, and performs Gaussian process modeling; loss is determined through Bayesian optimization, and network parameters are updated; the prediction module generates a prediction feature vector when there is no fault; the maintenance module sends or stores a maintenance scheme according to needs, self-adaptive recognition of known classes and new fault classes is achieved, the state can be pre-judged in advance, the operation safety of the engine is effectively guaranteed, and the maintenance cost is reduced.

The invention discloses a multi-layer damping backing bearing structure for suppressing vibration. The multi-layer damping backing bearing structure comprises a bearing outer ring; the bearing inner ring is rotatably matched with the bearing outer ring, an inner cavity is formed between the bearing inner ring and the bearing outer ring, and the inner cavity is used for containing lubricating liquid; the roller and the retainer are arranged in the inner cavity, and the shape of a pocket in the retainer is matched with that of the roller; wherein the inner side of the bearing outer ring and the outer side of the bearing inner ring are respectively provided with a roller path, and the rollers are uniformly distributed along the axial direction of the roller paths. The multiple layers of damping rings are arranged on the two sides of the bearing inner ring, the stress dispersion part is arranged on the circumferential surface, and the stress dispersion part and the multiple layers of damping rings coincide at certain positions in the axial direction, so that a three-stage energy attenuation path of damping energy dissipation, stress dispersion and structure cooperation is formed, and efficient suppression of axial vibration is achieved; the defect that in the prior art, the vibration suppression capacity is insufficient under complex working conditions is overcome.

The invention discloses a hydraulic drive axial vibration chip breaking cutter handle and a vibration chip breaking method. The vibration chip breaking cutter handle comprises a power mechanism, a vibration mechanism and a torque transmission mechanism. The torque transmission mechanism comprises a shell assembly connected with a machine tool connecting handle. Cooling liquid of a machine tool serves as a power source, and the tool has the axial vibration chip breaking function and the cutting function during hole machining through an ingenious and simple mechanical structure; therefore, no extra power source needs to be added, any structure of the machine tool is not changed, the cost of a user is reduced, and use is simplified; the structural design of vibration chip breaking, torque transmission and the like is ingenious, the structure is simple, and compared with an existing hydraulic pulse type and piezoelectric ceramic driving type vibration chip breaking cutter handle, the vibration chip breaking cutter handle has the advantages in manufacturing cost and using cost; therefore, the device is simpler and more ingenious to use, is widely suitable for the hole machining industry, and has very important significance on deep development of the tool industry.

The invention discloses a wind turbine generator misalignment fault diagnosis method, system and device and a medium, and belongs to the technical field of wind turbine generator state monitoring, the method comprises the steps that wind turbine generator coupler position vibration signals and rotating speed signals are collected, and the vibration signals comprise axial vibration signals and radial vibration signals; performing noise reduction processing on the vibration signal to obtain a noise-reduced vibration signal; obtaining an axis track picture, an axial order spectrum picture and a radial order spectrum picture, fusing the axis track picture, the axial order spectrum picture and the radial order spectrum picture to obtain a low-rank fusion result, carrying out dimension connection on the low-rank fusion result and the vibration signal historical time sequence characteristics after noise reduction to obtain fused new characteristics, and carrying out noise reduction on the new characteristics; performing fault diagnosis based on the fused new features; according to the method, the signal processing method and the deep learning technology are combined, the accuracy of misalignment fault diagnosis of the wind turbine generator is improved, and a certain diagnosis effect is achieved on early potential misalignment faults.

The invention belongs to the technical field of chemical pump set fault early warning, and particularly provides a chemical pump set fault early warning method, system and device based on big data, and the method mainly comprises the steps: obtaining the axial vibration waveform and inlet and outlet pressure difference of a chemical pump set; calculating a peak ratio and a zero offset index of each section of signal; calculating a waveform slope accumulated value of the axial vibration waveform by adopting a specified window width; generating a two-dimensional state vector containing the shaft system unbalance degree and the sealing failure probability; generating joint features of the main frequency amplitude ratio and the phase difference distribution; and processing the inlet and outlet pressure difference and the two-dimensional state vector by adopting a double-flow random forest model, and outputting an early warning result. According to the method, the mechanical vibration and the fluid pressure signals are fused, the dynamic features are extracted, the cross-modal association rule is quantified, hidden fault recognition is enhanced through shunt processing and feature crossing, the misjudgment risk can be reduced, accurate early warning is achieved in combination with dynamic modeling, sudden shutdown and leakage accidents are avoided, and equipment safety and production continuity are improved.

The invention discloses a synchronous decoupling measurement method for vibration displacement and blade top clearance of a shrouded blade, and relates to the field of energy power engineering, and the method comprises the following steps: 1, calibrating the axial vibration displacement and blade top clearance of the shrouded blade; step 2, installing an eddy current sensor; 3, the rotor is made to operate normally, the vibration state of the shrouded blade is measured in the rotating process of the shrouded blade, and a measurement signal is obtained; step 4, carrying out preprocessing on the measurement signal; 5, the sensing area variation of the sensor and the measurement distance variation from the sensor to the shroud are measured; and 6, calculating the vibration displacement and the blade top clearance of the shrouded blade. According to the method, the defects of the prior art can be overcome, synchronous and decoupling measurement on the vibration displacement and the blade top clearance of the shrouded blade can be realized, the measurement accuracy and credibility can be effectively improved, and the measurement requirement can be effectively met.

The invention relates to a variable-amplitude hydraulic oscillator, and belongs to the technical field of petroleum and natural gas well drilling matching tools. The tool aims at solving the problems that a traditional hydraulic oscillator is single in vibration mode, and equipment is prone to damage and low in efficiency due to the fact that the amplitude cannot be adjusted. The device structurally comprises a flow conversion short section, an axial vibration short section, a power short section and a radial vibration short section which are connected in sequence. The flow conversion short section achieves switching of a high amplitude mode, a low amplitude mode and a closing mode through the synergistic effect of a hole-shaped piston, a ratchet wheel and a flow channel conversion mandrel and by means of interruption and recovery of fluid flowing. The axial vibration short section adopts a two-stage piston structure to generate efficient axial vibration, the power short section is matched with a dynamic valve plate and a static valve plate through a screw rotor to generate high-frequency pressure pulses, and the radial vibration short section forms transverse vibration by means of centrifugal movement of a pendulum ball. By adjusting the fluid path, the tool can output shock waves of different amplitudes, friction between a drilling tool and the well wall is reduced, and meanwhile fluid pressure is maintained in a closed mode so that clamping stagnation of a pipe column can be avoided. The invention has the beneficial effects of prolonging the service life of equipment, improving the drilling efficiency, reducing the risk of jamming of the drilling tool and adapting to complex formation conditions.

The invention discloses a magnesium-rare earth alloy with a grinding tooth-shaped interface structure and a preparation method and application thereof, and belongs to the technical field of magnesium alloy material processing. According to the magnesium-rare earth alloy with the meshed tooth-shaped interface structure, a W phase is directionally separated out around the boundary of an Al2 (Gd, Y) phase. The Mg-Gd-Y-Zn-Al alloy serves as a base, a high-modulus Al2 (Gd, Y) phase is introduced, directional precipitation of a W phase around the boundary of the Al2 (Gd, Y) phase is achieved through multiple times of ultrasonic vibration composite multi-axial vibration coupling and secondary solution treatment, the Al2 (Gd, Y) phase with a tooth-shaped microcosmic interface structure is constructed, compatible deformation with a magnesium matrix is achieved, the Al2 (Gd, Y) phase is refined through composite deformation machining, stress concentration is relieved, and the mechanical property of the alloy is improved. And meanwhile, the strength and plasticity of the alloy are improved through torsional deformation of the LPSO phase. Through the formation of the special microstructure, the high strength, the high modulus and the high ductility of the magnesium-rare earth alloy are synchronously improved.

Provided is an electro-acoustic transducer capable of maintaining stable performance. An electro-acoustic transducer (1) for transmitting vibrations to a bone is provided with: a main frame (10) having at least a cylindrical section; a vibration unit (30) that is disposed on the inside of the main frame and vibrates in the axial direction of the main frame in accordance with an input signal; and an elastic member (20) that is connected to at least the vibrating part and is formed from an organic material or a polymer material.

The motor support comprises an annular body, at least two supporting legs and at least two first arc-shaped flanging portions, the annular body is provided with a first face and a second face which are oppositely arranged, at least parts of the supporting legs are located on the side where the first face is located, and the first arc-shaped flanging portions are located on the second face. The first arc-shaped flanging parts are at least partially located on the side where the second face is located, and the at least two first arc-shaped flanging parts and the annular body are enclosed to form a containing part. According to the motor support provided by the utility model, based on the arrangement of the first arc-shaped flanging part, when the motor support is applied to a damping assembly and is connected with a motor, the elastic pad can be arranged in the accommodating part, so that radial vibration generated by the motor is effectively counteracted, and part of axial vibration generated by the motor can be dispersed to the radial direction so as to counteract the axial vibration; the situation that vibration generated in the operation process of the motor is transmitted to the volute through the supporting legs, and then noise is increased is avoided. In this way, the damping effect is improved, and noise is reduced.

The application discloses an intelligent real-time rock stratum inversion identification method based on a while-drilling parameter feature, which comprises the following steps: simulating drilling tests on different kinds of rock samples on an indoor drilling machine test platform, collecting while-drilling parameters in the drilling process of the rock mass by means of installing sensors on the drilling machine, performing time-frequency analysis and processing on the collected drill rod axial vibration signals and training, so as to obtain an artificial neural network model for identifying rock strata; inputting the collected while-drilling data into the trained artificial neural network model on a drilling operation site, and outputting identification results of the interface and lithology types of the drilled rock strata in real time by the artificial neural network model, so as to classify the stratum geology and rock-soil bodies, and the drilling parameters and path can be adjusted in time by the staff according to the while-drilling rock stratum identification results in the drilling process, which is favorable for guaranteeing the drilling quality, improving the drilling efficiency and saving a large amount of manpower and material resources.