556 results about "Magnetic characteristic" patented technology

The invention provides an intelligent material damage diagnosis method and system based on magnetic characteristic data fusion, and relates to the technical field of nondestructive testing, and the method comprises the following steps: collecting magnetic characteristic data by using a magnetic stress detection robot; performing multi-scale decomposition on the data to construct a magnetic domain evolution characteristic spectrum; inputting the characteristic spectrum into a composite neural network to extract a material damage characteristic matrix; constructing a fusion feature vector by using tensor dimensionality reduction and a multilayer belief transfer network; and realizing damage calculation through temperature field modulation and self-adaptive weight distribution to obtain the damage grade and the residual life. According to the invention, accurate diagnosis of the material damage in the welding seam area of the pressure vessel is realized.

The invention relates to the technical field of magnetic ring detection, discloses a magnetic ring multi-dimensional nondestructive detection system and method based on multi-frequency composite electromagnetic excitation, and solves the defects of existing magnetic ring detection in the aspects of information acquisition, composite excitation and comprehensive diagnosis. The method comprises the following steps: applying multi-frequency composite excitation, and collecting and preprocessing multi-dimensional response; and extracting features, and carrying out deep learning fusion inversion to obtain magnetic characteristics, material components and defect information. The system comprises a composite excitation module, a multi-mode sensing module, a data acquisition preprocessing module, a data fusion inversion module and a control module. By adopting the technical scheme, comprehensive and efficient nondestructive detection of multi-dimensional electromagnetic information of the magnetic ring is realized, the existing limitation is overcome, and the detection precision and the comprehensive diagnosis capability are remarkably improved.

The invention relates to the technical field of scraper conveyors, in particular to a chain breakage fault pre-judging device and method for a scraper conveyor and the scraper conveyor, and the device comprises a controller, a first insertion plate and a first magnetic sensor fixed to the first insertion plate; a first opening is formed in a conveying groove of the scraper conveyor, the first inserting plate is inserted into the first opening and located on the side, close to a chain way, of the chain, and the first magnetic sensor is fixed to the first inserting plate and opposite to one side of the chain. In the running process of a chain of the scraper conveyor, the first magnetic sensor collects a first magnetic characteristic signal of a chain ring passing through the first magnetic sensor; the controller is connected with the first magnetic sensor, analyzes the damage state of the chain ring according to the first magnetic characteristic signal, and prejudges whether the chain ring is a chain breakage fault risk point or not based on the damage state. Therefore, the chain damage of the scraper conveyor is pre-judged in advance, so that the early warning and preventive maintenance of the chain breakage fault are realized, and the operation reliability and safety of the scraper conveyor are improved.

The invention provides a magnetic memory and a preparation method thereof. The magnetic memory comprises a plurality of memory units, at least part of the memory units are arranged along a first direction, and each memory unit comprises a magnetic tunnel junction; at least part of the magnetic shielding structure is located between the adjacent storage units in the first direction, and the magnetic shielding structure and the adjacent storage units are arranged at intervals; wherein the magnetic shielding structures and the adjacent storage units are arranged at intervals. Due to the fact that the magnetic shielding structure is arranged between every two adjacent storage units, the storage area can be saved through the design, meanwhile, the magnetic shielding structures can prevent the storage units from making contact with the magnetic shielding structures to cause short circuit, and the storage units have the anti-magnetic characteristic of an opposite internal magnetic field. Therefore, the magnetic memory has the diamagnetic properties of a vertical magnetic field and an in-plane magnetic field, the diamagnetic capability of the magnetic memory is improved, and the reliability of the magnetic memory in a magnetic field environment is further improved.

The invention relates to the technical field of rare earth waste recovery, in particular to a rare earth waste recovery process monitoring system and method based on industrial data processing, and the method comprises the steps: importing component composition data and magnetic characteristic data of rare earth waste in a rare earth waste magnetic separation process into a rare earth waste magnetic separation state analysis model; analyzing the magnetic separation state of the rare earth waste in the magnetic separation process of the rare earth waste; importing the equipment state data of the recovery equipment into the recovery equipment processing state analysis model, and analyzing the equipment processing state of the recovery equipment in the rare earth waste magnetic separation process; according to the rare earth waste magnetic separation state analysis result and the equipment treatment state analysis result of the recovery equipment in the rare earth waste magnetic separation process, the magnetic separation treatment benefit of the rare earth waste is evaluated; and according to the magnetic separation treatment benefit evaluation result of the rare earth waste, optimization early warning is conducted on the subsequent recovery process of the rare earth waste. And by analyzing the equipment state and sorting parameters, the rare earth treatment benefit is improved, and the equipment energy consumption cost is reduced.

The invention belongs to the technical field of force-magnetic characteristic testing, and particularly relates to a hysteresis and magnetostrictive property testing system and method under stress loading. The system is composed of a plate-shaped test piece, a stress loading module, a magnetic field loading module, a signal acquisition module and a computer. The stress loading module comprises a mounting plate, a T-shaped piece, a clamp, an L-shaped piece, a sliding module, a cushion block, a pressure sensor, an electric push rod and a driver; the magnetic field loading module comprises a U-shaped magnet yoke, a signal generator, a power amplifier, a sampling resistor and an exciting coil; the signal acquisition module comprises an induction loop, a strain gauge, a strain bridge box and a dynamic signal acquisition instrument; the method comprises the steps of test piece preparation, system assembly, parameter setting, stress loading and signal acquisition, magnetic field loading and signal acquisition, data processing and curve drawing. The test system and method can measure force-hysteresis and force-magnetostrictive properties, and have the characteristics of light weight, variable magnetic field direction and position and high test precision.

The invention discloses a method for predicting the abrasion degree of a magnetic friction plate of a fan coupler. The method comprises the steps that whether the coupler slips or not is monitored through a strain gauge; acquiring magnetic characteristic data of the magnetic friction plate, the frequency converter and the wind power motor when the coupler slips; magnetic property phase differences between the magnetic friction plate and the frequency converter and between the magnetic friction plate and the wind power motor in the slipping time period are obtained; fourier transform is carried out on the magnetic characteristic data of the three in the slipping time period to obtain frequency spectrum information of the three; reconstructing magnetic characteristic data of the three according to the frequency spectrum information of the three; calculating real magnetic characteristic data of the magnetic friction plate according to the reconstructed magnetic characteristic data of the three; the magnetic conductivity is calculated according to the real magnetic characteristic data; comparing the magnetic conductivity with a magnetic conductivity threshold value; and when the magnetic conductivity is smaller than or equal to the magnetic conductivity threshold value, the magnetic friction plate is replaced or maintained. The magnetic conductivity of the magnetic friction plate is used as a wear judgment basis, so that the wear degree of the magnetic friction plate can be more intuitively and accurately represented.

The invention discloses a ferromagnetic cavity physical and magnetic coupling modeling method, and relates to the technical field of electromagnetic property analysis, the method adopts a COMSOL Multiphysics finite element simulation technology, and combines hysteresis loop measurement of a ferromagnetic material, a Jiles-Atherton parameter recognition algorithm, a tensile test, residual magnetism measurement and a force and magnetic coupling test, so that the ferromagnetic cavity physical and magnetic coupling modeling method is realized. According to the method, the magnetization behaviors of the ferromagnetic cavity under the action of different stresses and magnetic fields are accurately simulated, the high-precision force-magnetic coupling simulation model is established by automatically identifying five Jiles-Atherton parameters of the ferromagnetic material and combining mechanics and residual magnetism data, space magnetic field distribution under the specified working condition is rapidly calculated, and the method has the advantages of being high in modeling efficiency and high in calculation precision.

The invention discloses a nonlinear correction method, device and equipment for excitation characteristics of a mutual inductor, and particularly relates to the technical field of mutual inductors. The method comprises the following steps: acquiring original data corresponding to a mutual inductor, wherein the original data comprises an original current signal, historical magnetic flux and distributed temperature data; performing noise reduction processing on the original current signal to obtain a purified current signal, and determining a magnetic conductivity correction coefficient and a temperature gradient according to the distributed temperature data; inputting the purification current signal and the magnetic conductivity correction coefficient into a hysteresis model to obtain a real-time magnetic flux, and inputting the purification current signal, the distributed temperature data, the temperature gradient and the historical magnetic flux into a magnetic flux correction network to obtain a magnetic flux correction value; and compensating the real-time magnetic flux according to the magnetic flux correction value to obtain a corrected magnetic flux result of the mutual inductor. According to the invention, multi-physical field fusion input can be realized, transient response can be improved, harmonic distortion compensation can be carried out, and high precision of data can be maintained.

The invention relates to a stratum structure inversion algorithm based on micro-motion detection, which solves the technical problems of slow calculation speed, low inversion result accuracy and insufficient ability to describe the details of stratum characteristics. The invention adopts step 1 of data acquisition; step 2 of processing the acquired original micro-motion signal data, including noise removal, filtering and normalization operations; step 3 of extracting features that can effectively characterize the relevant information of stratum structure from the pre-processed data; step 4 of constructing electromagnetic characteristic parameter vectors according to the physical properties of each layer of the stratum such as conductivity, magnetic permeability and dielectric constant, clarifying the relationship between the electromagnetic characteristic parameter vector and the stratum structure and the value law, and establishing a forward model; step 5 of performing inversion calculation by executing at least two distributed parallel inversion calculation models; step 6 of performing correlation calculation on the inversion results, and determining the optimal inversion result as the output technical solution, which better solves the problem and can be used in micro-motion detection.

The method for manufacturing the neodymium-iron-boron permanent magnet part in the complex shape comprises the steps of mixed material preparation, internal mixing and granulation, injection molding, degreasing, sintering, aftertreatment, final magnetizing and the like, a material pipe formed through injection molding is made of non-magnetic die steel, an annular magnetic field is additionally arranged at the front end of the material pipe, a magnetic field is additionally arranged on a die formed through injection molding, and therefore the neodymium-iron-boron permanent magnet part in the complex shape can be manufactured. According to the method, neodymium iron boron powder before injection molding can be magnetized, neodymium iron boron powder in the injection molding process can also be magnetized, meanwhile, only part of the macromolecule adhesive is removed in the degreasing process, and degreasing comprises high-temperature degreasing in which a green body is heated to 160-170 DEG C; in addition, the remaining high-molecular adhesive can be melted and wrap the neodymium iron boron powder under the action of capillary force, oxidation is avoided, the neodymium iron boron powder can be bound, displacement of the neodymium iron boron powder due to magnetic repulsive force is avoided, the neodymium iron boron permanent magnet part is good in shape retention, good in magnetic property and good in magnetic uniformity, and the requirement of the market for high-end products can be met.

The invention discloses a robot servo motor based on magnetic assistance characteristics, which comprises a stator core, a rotor core and magnetic steel, the stator core comprises laminated stator punching sheets and windings, the rotor core comprises multiple layers of laminated rotor punching sheets, spoke type magnetic steel grooves and multiple layers of air magnetic barriers are arranged on the rotor punching sheets, and the magnetic steel is arranged in the magnetic steel grooves; the multiple layers of air magnetic barriers comprise a plurality of arc-shaped magnetic barriers symmetrically arranged on the two sides of the magnetic steel grooves, the arc-shaped magnetic barriers comprise a first arc-shaped magnetic barrier, a second arc-shaped magnetic barrier, a third arc-shaped magnetic barrier and an interelectrode arc edge triangular large magnetic barrier, and a rotor excircle magnetic barrier is arranged at the top of each spoke type magnetic steel groove on the rotor punching sheet. The motor has the advantages that the anti-demagnetization performance and the torque output stability of the motor can be improved while the heat dissipation area of the motor is not changed and the cost of the motor is not additionally increased.

There is provided a sheet-shaped magnetic member that easily suppresses deterioration of magnetic shielding characteristics for a circling coil. The sheet-shaped magnetic member of the present disclosure includes a plurality of magnetic sheet pieces each formed in an elongated shape and having anisotropy in which magnetic characteristics in a longitudinal direction and magnetic characteristics in a width direction intersecting with the longitudinal direction are different, in which the plurality of magnetic sheet pieces are radially arranged.

The invention discloses an amorphous wire stress-electromagnetic coupling effect modeling method based on a micro-magnetism theory, and belongs to the technical field of magnetic materials and electromagnetic property regulation and control. According to the method, an amorphous wire micro-magnetic three-dimensional simulation model is constructed, solving is conducted through a finite element method, cross-scale simulation of magnetic domain structure evolution of the amorphous wire under the action of external stress is achieved, the change of effective magnetic conductivity of the amorphous wire under the action of different stress fields is further calculated, the skin effect and the magneto-impedance theory are fused, and the magnetic conductivity of the amorphous wire is calculated. And establishing an amorphous wire electromagnetic impedance spectrum model. According to the method, a quantitative mapping relation among the effective magnetic conductivity, the electromagnetic impedance characteristic and the external stress is established, a magnetic domain structure under the action of different stress fields can be deduced, and key parameters such as the effective magnetic conductivity and the electromagnetic impedance spectrum are output; theoretical guidance is provided for wide application of the amorphous wire in the fields of high-sensitivity stress sensing device design, broadband adjustable electromagnetic wave absorption / shielding, self-sensing composite material structure health monitoring and the like.

The invention provides a method and device for calculating the electron spinning state of an iron-based biphase composite magnetic material, and relates to the technical field of magnetic materials. The method comprises the following steps: establishing a heterojunction model of a biphase composite magnetic material; according to the method, generalized gradient approximation in a density functional theory is adopted as an exchange-correlation functional, relaxation is carried out on atomic positions in a heterojunction model, so that the total energy of a system is the lowest, and geometric structure optimization is carried out on the heterojunction model; performing spin polarization calculation on the optimized heterojunction model to obtain spin upward state densities and spin downward state densities of different atoms in the heterojunction model, and analyzing electronic state distribution near a Fermi level; and quantitatively evaluating the magnetic characteristics of the heterojunction model according to the spin upward state density and the spin downward state density of each atom. According to the method, an interface magnetic coupling mechanism can be disclosed, and a theoretical basis can be provided for development of a high-performance magnetically controlled reactor iron core material.

The invention provides a track correction method and device, electronic equipment and a readable storage medium, and the electronic equipment obtains a current user track according to the position of a user collected in a preset time window; in the historical tracks of the user, whether a target historical track exists or not is detected, and the target historical track is within a preset distance range of the current user track; if yes, obtaining the geomagnetic similarity between the geomagnetic feature of the current user track and the geomagnetic feature of the target historical track; and when the geomagnetic similarity is greater than or equal to the geomagnetic similarity threshold, correcting the current user trajectory according to the target historical trajectory. The electronic equipment does not need to establish a geomagnetic fingerprint database in advance, but collects geomagnetic data at any time in the daily movement process of a user to achieve instant use, and the electronic equipment can obtain a target historical track similar to the current user track based on the magnetic characteristics, and adopts the target historical track to correct the current user track, so that the user experience is improved. The accuracy of the user track can be improved.

The utility model relates to a lifting magnet, in particular to an automatic attracting and releasing lifting electric permanent magnet. Comprising an electro-permanent magnet, a trigger device, a manual control panel and a lifting connecting part, a containing chamber is arranged on the upper portion of the electro-permanent magnet, and an electrical control unit is arranged in the containing chamber; the triggering device is arranged at the top of the electro-permanent magnet, the lifting connecting part comprises a hanging bow, the two ends of the hanging bow are connected with the electro-permanent magnet, and external triggering implementation is provided for the triggering device; the triggering device receives external triggering implementation and sends out a triggering signal; the electrical control unit receives the trigger signal, detects the magnetic characteristic state of the electro-permanent magnet, generates magnetic control current to the electro-permanent magnet according to the trigger signal, and changes the magnetic characteristic state of the electro-permanent magnet to enable the electro-permanent magnet to be in a lifting or releasing state; and magnetic poles are arranged on the bottom working surfaces of the electro-permanent magnets. The suction device is simple in structure, safe in suction force, convenient to repair and maintain and capable of automatically sucking and releasing materials.

The invention discloses a permanent magnet brushless direct current motor and a parameter optimization method thereof. A rotor adopts a regular hexagon structure, and permanent magnets are alternately embedded into the rotor. Seven parameters such as the maximum thickness of a permanent magnet, a pole-arc coefficient and the width of a stator notch are selected for optimization, air gap flux density, no-load back electromotive force and no-load cogging torque are taken as optimization targets, a response surface model of a multi-objective function is constructed, parameter weights of the multi-objective function are determined in combination with a CRITIC weight analysis method, the motor parameters are optimized by adopting an improved MOEA / D algorithm, and the optimal parameters of the multi-objective function are obtained. And carrying out crossover variation on the population by directional variation guided by electromagnetic characteristics, and designing a weight vector optimization Chebyshev aggregation method to find an optimal iteration population. According to the weight in the Chebyshev aggregation function designed by the invention, the problems that the traditional Chebyshev aggregation method is not smooth enough for the continuous MOP problem and the obtained solution is not uniform are solved, and the distribution uniformity of the Pareto solution set is optimized. The method has obvious advantages in the aspects of convergence speed, solution set distribution and engineering feasibility.

The invention discloses a GIL electromagnetic property detection method and system based on field circuit-mechanical coupling, and the method comprises the steps: building an electromagnetic field-circuit-mechanical coupling mathematical model based on a circuit mathematical model through employing a stiffness matrix of a magnetic vector position, a stiffness matrix of a conductor eddy current, and a load matrix of a conductor conduction current; engineering sections are divided, a finite element two-dimensional simulation model is built, an equivalent external circuit is built, coupling connection is conducted through an external circuit port voltage matrix, and an electromagnetic property detection model of the GIL is obtained; performing iterative solution to obtain transient electromagnetic response of each engineering section, wherein the transient electromagnetic response comprises magnetic flux density, current density and node transient electromagnetic force; detecting whether electromagnetic response abnormity exists in the actual operation process of the GIL or not; and simulating the electromagnetic stress of the GIL component in the abnormal engineering section in the three-dimensional structure field by adopting harmonic response analysis, and checking the electromagnetic and mechanical characteristics of the GIL. According to the method, the electromagnetic characteristics of the GIL can be simulated more accurately, the applicability is wide, the operation speed is high, and guarantee is provided for GIL short-circuit fault monitoring and safe and stable operation.

The invention provides a special-shaped magnetic core and a manufacturing method thereof.The special-shaped magnetic core comprises a first magnetic core part, a second magnetic core part and a magnetic adhesive layer, the magnetic adhesive layer is bonded between the first magnetic core part and the second magnetic core part, and the magnetic adhesive layer comprises a plurality of magnetic powder particles, a resin adhesive base material and at least one spherical particle; the maximum size of any magnetic powder particle is smaller than the sphere diameter of one sphere particle, and the first bonding face of the first magnetic core part and the second bonding face of the second magnetic core part abut against the two radial opposite ends of one sphere particle respectively to form a bonding combination gap between the first magnetic core part and the second magnetic core part. The sphere diameter of the sphere particles ranges from 1 micrometer to 20 micrometers. The special-shaped magnetic core has the advantages of being small in size, good in consistency, good in magnetic property and low in production cost, so that the product quality is improved, and the requirement for product miniaturization is met.

The invention relates to the field of electromagnetism, in particular to a micro-magnetic method for predicting magnetic characteristics of a magnetic sample, which comprises the following steps of: (1) constructing a plurality of magnet models with different magnetic domain sizes, shapes and magnetic domain numbers, and determining magnetic parameters of the magnet models; (2) placing the to-be-measured magnet under a preset external field condition to obtain the magnetization intensity of the to-be-measured magnet, and comparing the magnetization intensity with the measurement result of each model under the same external field condition; (3) determining the similarity between the to-be-tested magnet and each model, finding out the model with the highest similarity, and calling each magnetic parameter of the model; and (4) determining the external field condition of the magnet to be detected in the new target environment.

To provide a coin identification device and a coin identification method that can accurately identify bimetallic coins with a simpler configuration.SOLUTION: A coin identification device includes: a magnetic sensor that includes a resonant coil and detects magnetic characteristics of a coin being conveyed; a first waveform generator that generates, from the output of the magnetic sensor, first waveform data representing a material feature, which is a feature that varies depending on the material of the coin; a first material detection unit that detects, from the first waveform data, a first material feature corresponding to the outer edge of the coin; a second material detection unit that detects, from the first waveform data, a second material feature corresponding to the center of the coin; and an identification processing unit that identifies coins based on the first material feature and the second material feature.SELECTED DRAWING: Figure 6

The invention discloses a method for non-destructively identifying the gender of a transformed young duck egg based on a singing tube nuclear magnetic image, and belongs to the technical field of poultry egg detection.The method comprises the steps that a low-field nuclear magnetic resonance technology is utilized, a breeding duck egg is positioned in a nuclear magnetic system, the optimal imaging section of a singing tube is determined, an image is collected and preprocessed, and a high-quality singing tube nuclear magnetic image is obtained; and through analyzing relaxation characteristics, inverting nuclear magnetic signals to identify a buzzer tube structure and extracting characteristics, finally constructing a gender decision-making model, and combining physical constraints to obtain a gender discrimination result as a sorting reference. According to the method, lossless, early-stage and high-accuracy sex identification is realized through a special imaging technology and algorithm by utilizing sex difference nuclear magnetic characteristics of a singing tube structure, hatching and breeding strategies can be optimized in laying duck and meat duck breeding, and intelligent development of the industry is promoted.

The invention relates to the technical field of electric digital data processing, in particular to an aging analysis method for a boiler dissimilar steel welded joint, and the method comprises the following steps: carrying out a performance test on the prepared dissimilar steel welded joint to obtain a performance test result; based on a performance test result, obtaining a first aging degree grading database corresponding to the nonlinear ultrasonic coefficient and the different aging degree data, and a second aging degree grading database corresponding to the magnetic characteristic parameter and the different aging degree data; and utilizing the first aging degree grading database and the second aging degree grading database to construct an aging degree grading database of the prepared dissimilar steel welding joint under different aging degrees. Therefore, the problems that in the related technology, component embrittlement, carbon migration, creep strength mismatch, residual stress concentration and the like of a fusion area are prone to occurring, safe operation of a unit is seriously threatened, and a dissimilar steel welding joint is high in non-uniformity, prone to cracking and the like are solved.

The invention relates to the technical field of receiver performance detection simulation, in particular to a receiver performance detection simulation system based on magnetic yoke magnetic resistance influence. The method comprises the following steps: firstly, receiving receiver design parameters and yoke reluctance influence parameters by using an input module; then, modeling is carried out by means of a deep coupling model in the modeling and simulation module, and the model comprises an electromagnetic-structural-acoustic multi-physics field model and a dynamic magnetic characteristic model based on machine learning; performing parameter calibration on the dynamic magnetic characteristic model in combination with an optimization algorithm and performance index feedback in a simulation process to obtain a receiver performance detection result; then, the analysis and prediction module performs robustness analysis on the performance of the receiver under the statistical distribution of the magnetic yoke characteristic parameters by using the magnetic yoke manufacturing tolerance model; the parameter correction module is used for correcting magnetic yoke magnetic resistance parameters by combining actual operation data of the receiver and a time sequence prediction model; and finally, the output module outputs the output result of each module. According to the invention, the accuracy of performance detection simulation of the receiver can be improved.

The invention discloses a fatigue damage positioning method for a metal material, which comprises the following steps: removing impurities attached to the surface according to pollutants and oxides on the surface of the metal material to obtain the cleaned metal material; measuring the physical characteristics of the cleaned metal material, establishing a material characteristic database, and determining an optimal detection scheme according to the conductivity and magnetic characteristics of the metal material in combination with a preset detection method selection rule; performing three-dimensional imaging on the interior of the metal material, extracting position and form information of a fatigue damage area according to a three-dimensional image, and generating a defect feature map; fusing the identified three-dimensional image data and the defect feature map to obtain fused multi-source heterogeneous data; training the fatigue damage positioning model and optimizing model parameters to obtain a trained fatigue damage positioning model; and inputting data of a metal material to be detected into the trained fatigue damage positioning model to obtain a fatigue damage positioning result of the metal material to be detected.

A magnetic material and method prepares high-performance composite ferrite for a self-biased circulator. The preparation method includes: (1) preparing BaM ferrite initial powder and NiCuZnSn ferrite initial powder, respectively; (2) mixing the BaM ferrite initial powder, the NiCuZnSn ferrite initial powder and deionized water uniformly in proportion, performing ball milling in a high-energy ball mill, and then obtaining mixed powder after primary pre-sintering, secondary pre-sintering and secondary ball milling; and (3) obtaining the high-performance composite ferrite for the self-biased circulator by a low-temperature magnetic field orientation forming technology and magnetic field heat treatment. According to the present invention, the saturated magnetization intensity is enhanced better by compounding the BaM ferrite powder and the NiCuZnSn ferrite powder and through a high-energy ball milling technology, the low-temperature magnetic field orientation forming technology and the magnetic field heat treatment technology, thereby improving the microstructure and the magnetic characteristic of bi-phase composite ferrite.

The invention provides an electromagnetic induction detection instrument for a plastic zone around a well. The electromagnetic induction detection instrument comprises a transmitting module, a receiving module, a probe supporting frame, a data transmission and communication module, a positioning module, a power module and an instrument shell. The instrument mainly works based on the electromagnetic induction principle, an alternating magnetic field is generated through the transmitting module, the magnetic field is spread in a stratum around a well, and when the magnetic field encounters a plastic deformation area, the electromagnetic property of the stratum can change, so that a secondary magnetic field is generated; and after the receiving module receives the secondary magnetic field signal, the signal is subjected to a series of processing, so that the relevant information of the plastic zone around the well can be determined. The instrument has the advantages of high efficiency, accuracy, real-time performance and the like, and can provide technical support for the fields of oil and gas development, underground engineering construction and the like.

The invention relates to the technical field of electronic component performance analysis, and discloses a high-frequency transformer temperature field analysis method based on a magnetothermal coupling model, which analyzes the influence of temperature on high-frequency loss and magnetic characteristics of a magnetic material through a multi-physical field coupling calculation process and a specific heat transfer process of the high-frequency transformer. And then a three-dimensional magnetic-thermal multi-physical coupling model based on a homogenization equivalence thought is established to calculate and analyze a temperature field of the high-frequency transformer under non-sinusoidal excitation. According to the method, the winding is quickly modeled by adopting a homogenization equivalence thought, so that the calculation cost and difficulty are effectively reduced, and quick and accurate prediction of the temperature distribution of the high-frequency transformer under different operation conditions is realized.

The present invention relates to the technical field of inductor preparation. Provided are a high-magnetic-conductance and low-loss integrally formed inductor and a preparation method therefor. The high-magnetic-conductance and low-loss integrally formed inductor comprises a stem, a winding coil, embedded magnetic powder and pins, wherein the winding coil is wound around an outer side of the stem; the pins are spot-welded and connected to both ends of the winding coil; the winding coil and the pins form a conductive ring frame; and the embedded magnetic powder is filled in the peripheral side of the conductive ring frame, and forms an integrally formed structure together with the conductive ring frame by means of a constant pressure. The present invention overcomes the defect in the prior art of the electromagnetic characteristics of an integrally formed inductor being poor, improves the high-magnetic-conductance and low-loss characteristics of the integrally formed inductor, and improves the performance and reliability of products.