2292 results about "Tooth surface" patented technology

The invention provides a wind generating set fault monitoring method and system based on voiceprint recognition, and the method comprises the steps: collecting gear box voiceprint signal data in real time, recording signal fluctuation caused by gear surface wear, and obtaining an original signal data set containing a frequency spectrum high-frequency component enhancement feature; a time-frequency analysis method is adopted for the original signal data set, non-linear interference of vibration signals is recognized, multi-scale decomposition is carried out, initial wear frequency spectrum narrow-band characteristics and medium-term harmonic components are separated out, and a frequency spectrum component set is obtained; extracting characteristic parameters related to modulation depth abnormal fluctuation from the frequency spectrum component set, identifying a gear pair meshing frequency change rule, and determining a distribution mode of a tooth surface contact noise proportion; and if the feature matching result shows that the deviation between the spectrum high-frequency component diffusion distortion feature and the reference feature library exceeds a threshold value, adding the tooth surface fatigue crack noise feature into the feature library to obtain a target feature library.

The invention discloses a gear three-dimensional structure construction method, system and device and a medium, and the method comprises the steps: obtaining at least two groups of regional point cloud data of a to-be-detected gear and gear rotation angles corresponding to the regional point cloud data; the regional point cloud data is obtained by scanning through a laser scanner based on a multi-axis rotary clamping mechanism adjusting gear rotation angles, and the gear rotation angles corresponding to any two groups of regional point cloud data are different; calculating a rotation center axis of the gear to be measured according to the point cloud data of all areas; registering every two adjacent groups of regional point cloud data based on the rotation center axis and the gear rotation angle corresponding to the regional point cloud data to obtain registered regional point cloud data; and constructing a pose map structure of the to-be-detected gear based on the registered regional point cloud data to obtain a three-dimensional structure of the to-be-detected gear, so that a helical tooth surface with a complex curved surface can be comprehensively scanned, and non-contact, efficient and high-precision detection of the gear is realized.

The invention relates to the technical field of numerical control machining monitoring, in particular to a tooth deviation high-precision monitoring system in a tooth cutting machining process, which comprises an online measurement module, a dynamic compensation module, a deviation calculation module and a result output module which are in signal connection with a numerical control system of a tooth cutting machine tool, the online measurement module, the dynamic compensation module, the deviation calculation module and the result output module are integrated on the processing element; the processing element is used for obtaining workpiece design parameters and constructing a theoretical workpiece model, the online measurement module is used for collecting tooth surface point cloud data in real time in the machining process, the dynamic compensation module is used for correcting vibration errors and temperature errors of the point cloud data, and the deviation calculation module is used for quantifying tooth surface deviation values. And the result output module is used for generating an early warning signal and a dynamic correction instruction and executing system self-calibration. The device and a numerical control system form a closed loop of machining, monitoring, correction and remachining, and finally high-precision real-time monitoring and dynamic correction of tooth deviation are achieved.

The invention discloses a SnO2 / SnS2 / AgS nano material with piezoelectric electro-catalytic tooth whitening and sterilizing performance and a preparation method and application thereof, and the preparation method comprises the following steps: (1) dripping a silver nitrate aqueous solution into a prepared SnO2 / SnS2 nano material aqueous dispersion, carrying out hydro-thermal treatment for 2 hours, centrifuging, washing and drying to obtain a SnO2 / SnS2 / Ag2S ternary semiconductor heterojunction nano material; (2) food indigo is adopted to simulate tooth surface pigments, piezoelectric electro-catalytic degradation is carried out by using the SnO2 / SnS2 / Ag2S ternary semiconductor heterojunction nanomaterial, and the pigment degradation efficiency can reach 95% or above; (3) the SnO2 / SnS2 / Ag2S heterojunction nanomaterial is used for piezoelectric electro-catalysis treatment of the streptococcus mutans pellicle, and the antibacterial rate of the pellicle can reach 90% or above; and (4) compared with a 3% H2O2 aqueous solution for treating the enamel surface structure, the SnO2 / SnS2 / Ag2S nano-material piezoelectric electro-catalysis treatment of teeth has small damage to the enamel surface structure. According to the invention, more nano materials with tooth whitening and sterilizing performance and the preparation method thereof are provided, so that the problems of single variety, single preparation method, low electron-hole separation efficiency and large side effect of the existing tooth whitening and sterilizing nano materials are solved.

The invention provides a tooth surface defect detection method and system for a precision gear. The method comprises the following steps: acquiring an original image sequence covering the whole circumferential direction of a tooth surface of the precision gear; preprocessing the original image sequence to generate a defect candidate region set; inputting a gear image with a fixed size in each region in the defect candidate region set into a deep neural network, and determining a preliminary detection result of the tooth surface of the precision gear; performing joint constraint regression between the predicted coordinates of the defect bounding box in the preliminary detection result and the coordinates of the corresponding true value box, and generating a regression correction bounding box set corresponding to the preliminary detection result; and judging the defect type of the tooth surface of the precision gear according to the spatial position information of the regression correction bounding box set and the corresponding category label. By establishing the index relationship between the image sequence and the gear rotation angle, image acquisition and accurate tooth position matching are realized, and the defect detection precision is effectively improved through cooperation of the deep neural network and the regression correction mechanism.

The invention relates to a tooth surface analysis technology, and discloses a tooth surface three-dimensional ripple extraction method based on two-dimensional Fourier transform, which comprises the following steps of: acquiring tooth surface deviation data, mapping the tooth surface deviation data to a two-dimensional plane, removing bulging components in a deviation distribution diagram, and performing two-dimensional Fourier transform to obtain a two-dimensional amplitude-frequency diagram; performing amplitude conversion processing on two-dimensional amplitude-frequency data in the two-dimensional amplitude-frequency graph to obtain a two-dimensional bright spot amplitude-frequency graph; extracting bright spot information in the two-dimensional bright spot amplitude frequency graph; extracting the maximum amplitude ripple in the two-dimensional amplitude-frequency data according to the corresponding bright spot position; and extracting amplitude ripples reaching a preset amplitude height, and obtaining three-dimensional data of the amplitude ripples based on two-dimensional Fourier inversion to draw tooth surface three-dimensional ripples. The invention further provides a tooth surface three-dimensional ripple extraction device based on two-dimensional Fourier transform, electronic equipment and a storage medium. According to the method, waviness components causing abnormal noise in the machining process can be accurately recognized, and the accuracy of finding noise sources in the gear machining process is improved.

The invention relates to the field of oral medical diagnosis, and discloses an intraoral image-based AI enhanced real-time occlusion detection system, which comprises a multi-source intraoral image acquisition module for acquiring dynamic oral image data through a high-definition oral endoscope and recording a three-dimensional structure of a tooth surface by combining a laser scanning device, meanwhile, force distribution of an occlusion contact point is collected through a pressure sensor array; the multi-source intraoral image acquisition module comprises a timestamp synchronization unit and is used for performing multi-source synchronization on an oral image frame sequence and occlusal force distribution data by utilizing a unified timestamp; through the multi-source in-port image acquisition module, synchronous acquisition of dynamic images, three-dimensional structure data and bite force distribution is realized, and time sequence consistency of the data is ensured through timestamp marking. Compared with a traditional single data source collection mode, the multi-source collection can comprehensively record dynamic characteristics in the occlusion process, rich and accurate input is provided for subsequent AI analysis, and data missing or collection deviation is avoided.

The invention discloses a data processing method and system for a dental three-dimensional model, and relates to the technical field of dental three-dimensional modeling, and the method comprises the steps: obtaining initial data of oral cavity scanning, recognizing a tooth type in the initial data, and determining a corresponding tooth surface reflection parameter according to the tooth type; generating scanning parameter combinations for different tooth positions according to the tooth surface reflection parameters and the tooth anatomical structure; tooth point cloud data are collected, and a tooth enamel reflective area and a shadow shielding area are identified; performing light reflection removal processing on the enamel light reflection area, performing data completion on the shadow shielding area, and generating corrected tooth point cloud data; and performing registration fusion on the corrected tooth point cloud data to generate a dental three-dimensional model containing a complete dentition. According to the method, the problem of data missing caused by enamel light reflection and adjacent tooth shielding is solved through a differential scanning strategy and regional data processing aiming at specific optical characteristics of teeth, and automatic construction of a high-quality dental three-dimensional model is realized.

The invention provides an intelligent toothbrush based on AI visual identification and an oral health assessment method, and relates to the technical field of artificial intelligence and computer vision. The intelligent toothbrush based on AI visual identification and the oral health assessment method comprise the following steps: S1, based on a built-in multispectral camera of the intelligent toothbrush, dynamically adjusting illumination parameters of different oral regions by adopting a visible light and near-infrared bimodal synchronous acquisition algorithm and through a self-adaptive exposure compensation technology, high-resolution images and transmission data of tooth surfaces and gingival lines are obtained, and a multi-mode oral cavity image data set is generated. Illumination parameters are dynamically adjusted through a multispectral camera to obtain high-resolution bimodal data, the focus detection precision is improved in combination with cross-modal feature fusion, the problem that traditional single-modal imaging is insufficient in early-stage dental caries recognition is solved, and the accuracy of early-stage dental caries recognition is improved based on laser radar point cloud complementation and a three-dimensional surface reconstruction technology. And mapping the two-dimensional focus label into a dynamic three-dimensional plaque distribution model.

The invention belongs to the technical field of connecting rod machining equipment, and particularly relates to an engine connecting rod deburring device and method.The engine connecting rod deburring device comprises a fixing assembly, a tooth-shaped blade, a ceramic fiber brush and a silicon carbide abrasive brush, a connecting rod is fixed to the fixing assembly, and the tooth-shaped blade corresponds to the tooth face of the connecting rod; the tooth-shaped blade is movably arranged on one side of the fixing assembly through the propelling assembly, and the ceramic fiber brush and the silicon carbide abrasive brush are both connected with rotating driving parts and installed on a movable arm of the robot through the rotating driving parts. After the connecting rod is fixed, the tooth surface can be automatically polished, the burr removing efficiency is high, manual burr removing operation is replaced, the labor intensity is reduced, and the connecting rod machining efficiency is improved.

The invention belongs to the technical field of metal part surface modification, and relates to a composite strengthening method for a carburized surface of a high-bearing gear of an aero-engine. According to the method, high-hardness and high-density ceramic shots are adopted as media for high-energy mechanical shot peening strengthening, the advantage that the subsurface strain hardening effect of the contact strengthening technology is good and the barb-shaped distribution characteristic of mechanical shot peening residual compressive stress are utilized, extremely high residual compressive stress is introduced to the subsurface position, and the contact fatigue performance of the tooth surface of the gear is improved. High-frequency laser shot peening strengthening is used for secondary treatment, so that the surface layer of the material is subjected to plastic deformation, high-amplitude residual compressive stress is introduced into the surface layer of the material within the depth range of more than 500 microns by utilizing the advantage of large influence depth of laser-induced shock waves, and the residual compressive stress can inhibit fatigue crack initiation, has a certain depth and inhibits fatigue crack propagation; and the bending fatigue resistance of the root of the gear can be effectively improved. And an abrasive flow process is adopted, so that the roughness is reduced to be more than 0.4 mu m.

The invention relates to the technical field of computers, discloses a tooth three-dimensional precision correction method and system based on multi-source oral data fusion, and aims to solve the problems of low registration precision, serious geometric distortion and lack of function oriented optimization of multi-modal oral data in the prior art. The method comprises the following steps: synchronously obtaining intraoral scanning, CBCT and face three-dimensional point cloud data; carrying out format conversion, denoising and grid simplification preprocessing; tooth surface morphology, root canal anatomy and soft tissue contour features are extracted and coded into uniform feature tensors; and multi-modal data space alignment is realized through staged rigid and non-rigid registration. By means of the scheme, the multi-source data fusion precision and the tooth form restoration accuracy are remarkably improved, full-process automatic efficient processing is achieved, and the clinical real-time performance and high-precision diagnosis and treatment requirements are met.

The invention discloses a dental plaque quantitative analysis method, a dental plaque quantitative analysis device and computer equipment. The method comprises the following steps: acquiring an initial dental surface image of at least one specified orientation of a to-be-detected tooth; normalizing each initial dental surface image into the matched template image to obtain a normalized dental surface image; performing image segmentation on each regular tooth surface image to obtain a tooth image area and a dental plaque image area in the regular tooth surface image; and calculating the dental plaque proportion of the to-be-detected teeth according to the sizes of the tooth image region and the dental plaque image region of each regular tooth surface image. Accurate quantitative evaluation of the dental plaque on the to-be-detected teeth is achieved, the method has the advantages of being easy and convenient to operate, accurate in result and the like, and the quantitative evaluation result has comparability and can serve as a credible basis for dynamic monitoring of oral health.

The invention relates to the technical field of machining equipment, in particular to a gear deburring device and method. The moving seat slides on the front side of the bottom frame, a two-way lead screw driven by a driving assembly is rotationally arranged between the inner walls of the moving seat, moving plates symmetrically slide on the moving seat, the front ends of the two moving plates are in threaded connection with one side of the two-way lead screw respectively, and a driving gear used for driving the gear body to rotate is arranged between the moving plates on the two sides; and the two cutters are respectively arranged at the tail ends of the two movable plates. The combination of the cutting knife, the steel wire brush and the grinding rod is adopted, accurate burr treatment is specially conducted on the two sides of the gear teeth, grooves between the teeth and the tooth surface, through the linkage design of the pushing rod and the moving rod, it is guaranteed that the steel wire brush and the grinding rod can be accurately positioned and work cooperatively, and unnecessary treatment area coverage is avoided; the whole burr removing process is more orderly and efficient, the smoothness of the tooth surface is guaranteed, and the problem of excessive loss possibly caused by using a large-range polishing wheel is solved.

The invention relates to a helical gear detection method based on waviness information and a gear detection system. The helical gear detection method based on waviness information comprises the following steps: extracting full-tooth waviness information of a helical gear; processing the full-tooth waviness information to obtain a spectrogram; calculating an angle alpha of waviness on any single tooth of the helical gear; and according to the angle alpha of the waviness on the single tooth and the spectrogram, judging whether the gear has noise requirements or not. According to the method, through full-tooth order analysis and single-tooth topology three-dimensional angle analysis of the involute helical gear, important factors influencing gear meshing noise are calculated and extracted, tooth surface waviness information can be effectively detected, ghost frequency can be effectively identified and found, and a ripple line angle can be effectively analyzed; the method greatly improves the fitting quality of data, thereby improving the detection precision of the gear, enabling the gear to meet the noise detection requirements, and providing a brand new detection method for high-speed and low-noise gear production.

The invention discloses a gear meshing noise evaluation method based on a gear transmission error curve. The gear meshing noise evaluation method specifically comprises the following steps of 1, obtaining tooth surface waviness based on a gear measurement center; step 2, synthesizing a whole tooth surface waviness curve of the gear; 3, gear transmission error calculation based on an envelope line; 4, carrying out Fourier analysis on the gear transmission error curve based on sine fitting; step 5, calculating an order spectrum; step 6, abnormal order analysis; a gear transmission error curve can be decomposed into harmonic components with different frequencies through sine fitting Fourier analysis, and each harmonic corresponds to a specific order in a gear error. The abnormal order can excite vibration of a specific frequency, and when the gear noise problem is analyzed, the step of recognizing and eliminating the abnormal order is a key step.

The invention discloses a tooth profile grinding wheel thermal drift modeling and wear life prediction method and system. The method comprises the four stages of thermal drift path network construction, drift differentiation feature extraction, irregular fragmentation recombination and dynamic judgment feedback. A tooth surface multi-region temperature response sequence is collected, a thermal drift path network is established, and a drift differentiation feature set is generated by using a multi-period path evolution relationship so as to distinguish short-period thermal disturbance and trend drift interference; and irregular recombination and energy constraint optimization are carried out on the path based on the thermal response structure boundary to form a response structure unit with thermal-force coupling association. The system further achieves judgment sequence self-learning according to an energy feedback and weight updating mechanism, and therefore the abrasion state and remaining life prediction result of the tooth profile grinding wheel is output. According to the method, dynamic correction of grinding thermal response behaviors and intelligent life evaluation are achieved.

The invention discloses an intelligent eye control bonding system and method for an orthodontic appliance, and relates to the technical field of intelligent oral medical equipment. Comprising a pupil eye-control image positioning module, a bracket initial coordinate is generated through doctor pupil trajectory tracking and doctor head dynamic compensation, a patient three-dimensional oral cavity model is combined for mapping, a three-dimensional visual interface is constructed by integrating oral scanning instrument and cone beam CT data, and the three-dimensional visual interface is projected to an entity tooth surface through a laser positioning projection device. And the dynamic tracking module corrects the posture of the bracket in real time through rigid compensation and elastic compensation based on inertial sensing data. The path planning and control module adopts an improved RRT *-Connect algorithm, and an elastic map and an impedance-admittance hybrid control strategy are fused to optimize a motion path. And the mechanical arm execution module adopts a modular six-axis framework, integrates a triple-combination driving system and a double-cavity end effector, and completes submillimeter-level bonding operation in an oral cavity limited space. The positioning precision and the bonding efficiency of the bracket are improved.

The invention discloses an artificial intelligence-based periodontal state evaluation method, which comprises the following steps of: acquiring multi-modal tooth data which comprises a tooth surface image and a local blood vessel network image of an oral cavity; preprocessing the multi-modal tooth data, and performing cross-modal registration by using a registration module to obtain a registered tooth surface image and a registered blood vessel network image; extracting multi-dimensional features of the registered blood vessel network image through a first feature extraction module, wherein the multi-dimensional features comprise spatial morphological features, topological connectivity features and hemodynamic features of blood vessels; extracting macroscopic morphological features and lesion local features of the registered tooth surface image through a second feature extraction module; performing cross-modal fusion on the multi-dimensional features, the macroscopic morphological features, the local lesion features and the clinical data to obtain fusion features; and outputting a periodontal state evaluation result based on the fusion features, thereby facilitating improvement of periodontal state evaluation accuracy and periodontal disease early warning capability.

The present invention discloses an orthodontic appliance and a manufacturing method thereof. The orthodontic appliance includes: a fixing member and an orthodontic wire; the fixing member is used to be fixed on the tooth surface, and the orthodontic wire has a plurality of curved structures for releasing orthodontic force. The orthodontic wire is an elastic member with elasticity, and the orthodontic wire and the fixing member are detachably buckled and connected. This appliance can accurately control the amount of tooth movement, precisely quantify the acting force applied to the local and overall teeth; greatly save the time of patients and doctors, significantly reduce the medical cost, and greatly improve the convenience of orthodontics; this manufacturing method has a short production time, high production efficiency, greatly saves the manufacturing process steps, and reduces the medical cost.

A large-sized gear machining accuracy measurement method. The method comprises: measuring, by using a flexible articulated arm, the accuracy of a gear machined by means of a large-sized gear manufacturing machine tool; securing a standard spherical ball on a rotary table or a machine tool spindle headstock, and rotating the rotary table to a plurality of positions; then, measuring the centers of the standard spherical ball at different positions by using the flexible articulated arm, and fitting the coordinates of these centers to establish a workpiece coordinate system; and finally, on the basis of the established coordinate system, extracting points on a tooth surface, and evaluating the tooth profile, tooth lead and tooth pitch accuracy of the gear. By using the method, the machining accuracy of large-sized gears with diameters of 3,000 mm or above can be accurately evaluated in a workshop environment, thereby providing data support for the accuracy evaluation, installation and commissioning, error compensation, etc., of a large-sized gear manufacturing machine tool.

The invention discloses a face gear worm grinding machine error compensation method based on sensitivity analysis and a multi-source error mapping model, which comprises the following steps of: 1, constructing a multi-source error-tooth surface error mapping model based on a vector decomposition and truncation function method, the truncation function method is used for quantitatively describing propagation mechanisms of geometric errors and thermal errors in a machining chain and influences of the propagation mechanisms on tooth surface deviation, and high-order error terms are eliminated to improve calculation efficiency; 2, responding to the output of the mapping model, applying an improved Morris sensitivity analysis method, distributing a weighting coefficient higher than a geometric error component for a thermal error component, and calculating a weighting sensitivity coefficient so as to identify a key error component which has the greatest influence on the tooth surface precision; and 3, based on the key error component, a motion axis compensation value is generated through an error compensation model, and the compensation value is input into a machine tool control system to adjust the relative position of the worm grinding wheel and the workpiece, so that the tooth surface error is reduced.

The invention relates to a method and device for measuring pitch deviation based on a line laser sensor, and the method comprises the following steps: S1, calibrating the position of the line laser sensor, and obtaining the coordinate value of a coordinate system of the line laser sensor in a measurement coordinate system; s2, installing a tested gear; s3, adjusting the relative position of the line laser sensor and the measured gear; selecting a measured position in the tooth surface area of the gear teeth of the measured gear, adjusting the position of the line laser sensor, and recording the sum of the offset of the adjusted line laser sensor relative to the center of the measured gear along the x axis and the y axis in the effective measurement range of the line laser sensor at the measured position; s4, performing zero returning operation on the angle sensor of the rotating shaft of the tested gear; and S5, controlling the detected gear to rotate along the center line of the detected gear. According to the method and the device, the pitch deviation can be measured in a non-contact mode, excessive calibration and leveling are not needed before detection, and the measurement efficiency and the measurement precision are both improved.

The present invention belongs to the part surface treatment technology, and relates to a projectile-type ultrasonic impact strengthening device for turbine disk tenon groove and its use method. It comprises an adjustable base (1), a fuselage bracket (2), an adjustable bracket (3), a projectile cavity groove (4), a cavity base (5), a horn (6), a transducer fixing clamp (7) and a transducer (8); the present invention sets the structure of the device of the present invention, firstly closes the semi-open tenon groove completely to form a cavity, then places a hard projectile in the cavity, and the projectile impacts the inner wall of the cavity at high speed under ultrasonic excitation, so that the inner wall surface undergoes elastic-plastic deformation, thereby achieving surface strengthening. The strengthening effect of the tenon tooth surface is uniform, which solves the problem of structural interference and improves the uniformity of the strengthening effect of the tenon tooth surface, which is not only beneficial to improving the anti-fatigue strengthening effect of the turbine disk tenon groove, but also beneficial to reducing the deformation of the tenon tooth, and realizing the coordinated control of the shape and property.

The invention discloses a design method of a complex shape modifying and finishing wheel and a honing wheel for internal meshing powerful gear honing, and relates to the technical field of machine manufacturing. The method comprises the following steps: establishing a trimming wheel tooth surface numerical model, and judging whether the modification amount of the trimming wheel tooth surface numerical model meets the modification requirement or not; if yes, establishing a space coordinate conversion relation and a conjugate meshing equation of the dressing wheel and the honing wheel, and establishing a honing wheel tooth surface numerical model in combination with the dressing wheel tooth surface numerical model; according to the space coordinate conversion relation between the workpiece gear and the honing wheel and the honing wheel tooth surface numerical model, a complex modification workpiece gear tooth surface numerical model is established, and whether the modification amount of the complex modification workpiece gear tooth surface numerical model meets the modification requirement or not is judged; and if yes, a dressing wheel three-dimensional solid model and a honing wheel three-dimensional solid model are established according to the dressing wheel tooth surface numerical model and the honing wheel tooth surface numerical model respectively. According to the method, precise design and verification of the complex shape modifying and finishing wheel and the honing wheel for powerful gear honing can be achieved.

The invention belongs to the field of data processing, particularly relates to a wind turbine generator gear box tooth surface strength optimization method considering multi-working-condition load distribution, and aims to solve the problem that the optimization effect is affected due to the fact that strength optimization checking is carried out only for a single working condition in the prior art. The method comprises the following steps: acquiring working condition data of the gearbox under various preset working conditions; load spectrum decoupling processing is conducted on the working condition data, a dynamic load distribution matrix synchronous with the tooth surface meshing period is determined, stress field conversion is conducted on the dynamic load distribution matrix, and a tooth root bending stress field and a tooth surface contact stress field are obtained; inputting the tooth root bending stress field and the tooth surface contact stress field into a pre-constructed double-constraint optimization model to obtain a tooth surface strengthening parameter tensor output by the model; and inputting the tooth surface strengthening parameter tensor into a preset process mapping system. Based on the method provided by the invention, the multi-working-condition operation data of the gearbox are synchronously obtained for optimization calculation, and the limitation of traditional single load analysis is broken through.

The invention discloses a wet mixing granulator and a working method thereof, and relates to the technical field of wet mixing granulators, the wet mixing granulator comprises a bottom plate and a mixing barrel, a cutting mechanism is fixedly mounted on the top end face of the bottom plate, a coaxial reverse rotating mechanism is fixedly mounted on the top end face of the bottom plate, and a driving mechanism is fixedly arranged on the side face of the cutting mechanism; a discharging mechanism is fixedly arranged on the side surface of the mixing barrel. Under the action of gravity, a mounting disc drives a rotating rod to move downwards, the tooth surface of a lower fluted disc is meshed with a lower gear, then the lower fluted disc is driven to rotate, an impeller is driven to rotate, powder accumulated above the mounting disc is scattered to the barrel wall, at the moment, the weight is reduced, a reset spring pushes the rotating rod to reset, the impeller stops rotating, and the operation is repeated; the powder granulation efficiency of the device can be improved, the powder utilization rate of the device is improved, and the problems of powder accumulation and powder caking in the background art are solved.

The present invention relates to the technical field of robotic devices. Disclosed are a composite deceleration structure, a joint power mechanism and a robot. In the joint power mechanism of the composite deceleration structure provided in the present invention, a multi-stage deceleration structure formed by a first set of deceleration unit, a second set of deceleration unit, etc. is used, such that a large deceleration ratio can be achieved in a small structure space. In one stage of deceleration structure, a double-sided ring gear is used for meshing transmission, and the double-sided ring gear having tooth faces on both inner and outer sides is in eccentric motion on an inner ring gear to drive an outer gear ring to output power, such that the joint power mechanism has a simple and compact structure, and can achieve a large deceleration ratio with fewer parts as compared with a decelerator solution of other structures such as a planetary decelerator; and during the mutual meshing transmission process, this stage of deceleration structure is always in tooth face contact, with a large contact area and a large number of teeth that are in contact, such that the joint power mechanism is high in overload resistance, and is not prone to damage or failure due to load impact. Therefore, the mechanism has a simple and compact structure, and is not prone to damage or failure.

The invention relates to the technical field of power grid stability analysis, in particular to a mechanical vibration micro-grid electromechanical coupling system stability analysis method, which comprises the following steps of: detecting a tooth surface contact radius, a relative speed and a Young modulus to generate a contact stiffness initial value, correcting nonlinear stiffness by interval difference, and calculating the stability of a micro-grid electromechanical coupling system. The method comprises the following steps: calculating a coupling response vector by combining rotor displacement and bearing clearance, inputting a Lyapunov exponent method to solve an exponent vector, constructing a model length ratio to detect derivative characteristics, extracting a multidimensional state vector in a positive value period and the coupling response vector to generate a compensation action, and constructing an FPGA simulation path injection disturbance execution error feedback back-transmission fuzzy control algorithm. According to the method, a contact stiffness dynamic correction and nonlinear difference method is introduced, six-degree-of-freedom displacement and bearing clearance parameters are combined, an electromechanical coupling model is established, a stability boundary is recognized through Lyapunov regression, a critical state is detected through derivative features, and multi-dimensional state vector fuzzy control compensation is fused. And the response and the immunity are optimized by combining FPGA simulation and a disturbance mechanism.

The invention provides an abrasive flow polishing device and method for gear tooth surface homogenization. According to the method, tooth-shaped drainage pieces with the same shape as the gear are installed at the two ends of the upper portion and the lower portion of the gear, drainage section design is introduced, an abrasive flow medium path runner model is constructed, main parameters influencing an experiment are sampled and grouped through a Latin hypercube sampling method, abrasive flow polishing simulation is conducted in a grouped mode, and a Gaussian regression process is utilized to obtain an abrasive flow polishing simulation result. Selecting the minimum root-mean-square error of each group of PiVi data, determining the group of experimental parameters, obtaining a group of abrasive flow machining process parameters of optimal inlet pressure, back pressure and drainage section length, and finally guiding the experiment; according to the method, the influence of the inlet effect is relieved, the abrasive flow medium path runner model is constructed, a set of optimal abrasive flow machining process parameter combination is obtained, and the method is suitable for spur gears and bevel gears and high in universality.