3236 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.

A vehicle drive device includes an axial oil guide passage that receives oil splashed by a differential input gear and dropping from a meshing portion between the differential input gear and a second counter gear and guides the oil in an axial direction along a third axis to a tooth surface of a first counter gear.

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 discloses a bevel gear forming grinding temperature prediction method and system and a storage medium, and the method comprises the steps: analyzing a bevel gear heat treatment process, and building a multi-field coupling finite element simulation model of a gear heat treatment process including carburizing, quenching and tempering; and calculating non-uniform tooth surface deformation caused by thermal stress, structural stress and inconsistent surface hardening layer depth. Taking a gear model after heat treatment as an initial model of a gear forming and grinding process, taking a grinding heat flux density three-dimensional distribution result as a thermal load, and combining with a gear forming and grinding geometric contact relationship to establish a helical gear forming and grinding continuous finite element simulation model considering the influence of initial tooth surface non-uniform deformation; and calculating to obtain the temperature distribution of the ground workpiece. According to the method, the influence of the heat treatment process on gear forming grinding can be comprehensively considered, the tooth surface temperature distribution of forming grinding machining is accurately predicted, and the method is crucial for analyzing the influence of the heat treatment process on grinding quality and optimizing process parameters.

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 discloses a personalized tooth modeling method and system based on digital oral cavity imaging, and relates to the technical field of digital modeling. The invention discloses a personalized tooth modeling system based on digital oral imaging. The personalized tooth modeling system comprises a data acquisition module, a model construction module, a model fusion module, a tooth gap labeling module, a tooth health prediction module and a nursing matching module. According to the method, the personalized tooth model is generated by synthesizing the tooth structure and activity range data of the user, and the deep cleaning scheme and the daily nursing scheme are accurately matched according to the tooth gap and tooth surface health condition, so that the nursing scheme of each user can be customized according to the unique oral cavity condition; by comprehensively acquiring the tooth and jaw structure, the tooth movement range and the health information of the user, the accuracy and comprehensiveness of the model are ensured, and sufficient data support is provided for subsequent cleaning and nursing schemes.

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 present invention relates to the technical field of gear designs. Particularly disclosed are a spur arc gear engagement pair, and a design method. The spur arc gear engagement pair comprises two spur gears engaging with each other, wherein the two spur gears are spur arc gears, and the contact mode of the two spur arc gears is point contact. The design method comprises the following steps: first, determining a virtual auxiliary involute gear; then, selecting a smooth curve on the virtual auxiliary involute gear to serve as an engagement trajectory line Γ1; next, by means of coordinate transformation, solving a pairing engagement curve Γ2 engaging with the engagement trajectory line Γ1; next, by means of sweeping a normal section tooth profile Γ2(t2) along the pairing engagement curve Γ2, constructing a tooth surface Σ2 of a spur arc gear II; and by means of sweeping a normal section tooth profile Γ1(t1) along the engagement trajectory line Γ1, constructing a tooth surface Σ1 of a spur arc gear I. The present solution solves the problem in the prior art of arc gears failing to achieve spur engagement; and the designed gear pair has a low sliding rate and has adaptability to axis errors and center distance changes.

The utility model belongs to the technical field of ore processing, and particularly discloses an ore crushing mechanical device which comprises a jaw crusher body, a static jaw plate and a movable jaw plate, the static jaw plate and the movable jaw plate are installed in the jaw crusher body, a cleaning mechanism is arranged between the static jaw plate and the movable jaw plate and comprises a first toothed plate and a second toothed plate, and the first toothed plate and the second toothed plate are arranged on the jaw crusher body. The first toothed plate and the second toothed plate are attached to the edges of the upper portions of the tooth faces of the static jaw plate and the movable jaw plate respectively, and the fixing plates are fixedly connected to the edges of the two sides of the upper end of the first toothed plate. According to the jaw crusher, impurities adhered to the tooth surfaces of the fixed jaw plate and the movable jaw plate which are mounted on the inner side of the jaw crusher can be conveniently cleaned, the fixed jaw plate and the movable jaw plate do not need to be detached and cleaned again, operation is convenient, and follow-up normal use of the fixed jaw plate and the movable jaw plate is guaranteed.

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.

Examples of apparatus, methods, and compositions for endodontic treatments are described. The apparatus can include a fluid platform configured to substantially retain fluid in a tooth chamber during treatment. The fluid platform can help maintain fluid circulation in the tooth chamber as fluid flows into and out of the tooth chamber. The apparatus can also include a pressure wave generator configured to generate acoustic waves that can be used for cleaning root canals and tooth surfaces in the tooth chamber. Examples of pressure wave generators include a liquid jet, an electromagnetic energy delivery device, and an ultrasonic device. The fluid can include antiseptic or antibacterial solutions to assist in tooth cleaning. The fluid may be degassed to have a reduced dissolved gas content (compared to non-degassed fluids used in endodontic treatments), which may improve the effectiveness of the pressure wave generation or the cleaning.

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 belongs to the technical field of mechanical part surface finishing machining, and aims to solve the problem that traditional barreling finishing machining is difficult to meet the requirements for high precision and uniformity of a large wind power gear ring. The vertical local forced excitation polishing and grinding method for the large wind power gear ring comprises the following steps that a to-be-polished and ground section of the to-be-polished and ground large gear ring is placed in a polishing and grinding container filled with a machining medium; and a vibration excitation element in the machining medium is driven to perform combined motion of radial intermittent feeding motion, axial intermittent feeding motion and reciprocating linear motion, and is matched with circumferential intermittent rotary motion of the large gear ring, so that a locally forced particle flow field is formed in the machining medium, and gear surface finishing machining is performed on the large gear ring to be polished and ground. According to the large gear ring polishing and grinding device, intense exciting force can be applied to a certain specific tooth surface part of a large gear ring in a targeted mode, local polishing and grinding are conducted in a centralized mode, consistent polishing and grinding of different parts of the tooth surface of the large gear ring can be achieved in an all-around mode at a time, and the surface roughness of the large gear ring can be reduced.

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.