44 results about "Tolerance analysis" patented technology

The invention discloses a Solidworks model-based machining program generation method and system, and belongs to the technical field of computer-aided manufacturing, and the method comprises the steps: S1, analyzing the modeling features of each part in a Solidworks model, carrying out the matching analysis of the modeling feature sketch contour and sketch plane normal vector with a feature library, obtaining a machining feature category, and carrying out the recognition of the machining feature category; performing feature grouping according to the processing feature category and the processing direction; s2, identifying and extracting the part size and tolerance marked in the sketch; s3, analyzing a part machining process based on the machining feature category, the part size and the tolerance; s4, the blank type, machining allowance distribution, machining steps and a clamping mode are determined; s5, the three-dimensional space coordinates of the machining contour are converted into machine tool machining coordinates, and machining information is sequenced; s6, the machining path of the part machining technology is calculated; and S7, according to the machining path, combining with an instruction supported by a specific machine tool, performing post-processing to generate a G code.

The invention discloses a high-frequency transformer transmission extreme value frequency rapid calibration and tolerance analysis method, which comprises the following steps of collecting operation parameters of a high-frequency transformer in real time, performing standardized preprocessing, and integrating the preprocessed parameters to construct operation condition vectors in a unified format; defining a frequency response range of the high-frequency transformer, constructing a frequency search space based on the frequency response range, and establishing a target function for fitness evaluation based on the frequency search space; searching extreme value frequency points in the frequency search space by adopting a quantum evolutionary algorithm; based on the working condition vector and the extreme value frequency point, a working condition frequency deviation prediction model is constructed, and the working condition frequency deviation prediction model outputs an extreme value frequency shift offset; and calculating the dynamic tolerance bandwidth according to the predicted offset and the fluctuation range of the working condition vector. According to the invention, rapid and accurate calibration of the extreme value frequency of the high-frequency transformer and dynamic determination of the tolerance range can be realized.

The invention relates to the technical field of environment adaptability testing, and discloses an identification key performance comprehensive environment adaptability testing system. The system comprises a multi-environment factor acquisition and processing module for acquiring data and performing normalization preprocessing; the environment scene dynamic modeling module is used for constructing a multi-dimensional association graph and updating a topological structure; the performance index evaluation module evaluates a performance degradation index in a composite environment by means of a spatial-temporal feature fusion algorithm; the failure mode prediction module is used for generating a potential failure mode under multi-environment coupling according to the performance degradation trend and the stress accumulation effect; the environment tolerance analysis module is used for integrating data to establish a virtual model and outputting a tolerance residual error of a specific environment section; the test scheme optimization module is used for generating a self-adaptive test sequence according to the residual error and the map; and the environment scene simulation control module is used for regulating and controlling parameters of the test cabin in combination with multiple information. The system can comprehensively and accurately evaluate the performance and endurance capability of equipment in a composite environment, and has a dynamic adjustment characteristic.

The invention provides a non-contact measurement-oriented three-dimensional point AI registration and tolerance analysis method and system, and relates to the field of three-dimensional point AI registration and tolerance analysis, and the method comprises the steps: synchronously collecting point cloud data through multiple sensors, and carrying out the adaptive preprocessing, and obtaining a preprocessed point cloud pair; constructing a multi-scale geometric descriptor by using a local curvature and a normal vector, and performing multi-scale hierarchical feature extraction to obtain an enhanced point feature set; calculating a bidirectional matching probability matrix by using an optimal transmission theory, screening high-confidence point pairs through spatial compatibility constraint to obtain a high-confidence matching point pair set and a matching score, performing transformation matrix estimation and quantification uncertainty, and outputting optimal rigid body transformation and a covariance matrix thereof; self-adaptive optimization is executed in a layered mode, the search range is dynamically adjusted, transformation parameters are verified in a cross-scale mode, and a convergent accurate registration result is output. The method is used for overcoming the defect that in the prior art, low-overlapping-rate registration precision is low.

The invention relates to the technical field of assembly tolerance analysis and optimization based on Monte Carlo simulation, discloses an assembly tolerance analysis and optimization method and system based on Monte Carlo simulation, and provides an assembly tolerance analysis and optimization method and system based on Monte Carlo simulation. The invention provides an assembly tolerance analysis and optimization method and system based on Monte Carlo simulation, and the method comprises the steps: carrying out the explicit modeling of the deformation response of a flexible part as a node control point displacement vector, and constructing an error propagation structure expression model through combining a dimension chain topological structure; accurate expression and transfer modeling of flexible response and error coupling in a complex assembly path are achieved, and the problem of error propagation distortion caused by neglecting flexible deformation or simplifying modeling in a traditional method is effectively solved.

The invention discloses a crack tolerance analysis method for a saddle-shaped welding seam of an integral reinforcing connecting pipe of nuclear pressure-bearing equipment, and belongs to the technical field of reliability. The method comprises the following steps: firstly, establishing a three-dimensional model containing a crack structure and defining crack parameters; carrying out finite element analysis after applying a load; and the critical crack size is determined by iteratively adjusting the crack depth in the failure evaluation diagram. Carrying out sampling analysis by taking the load and the material parameters as random variables to obtain a critical crack size set; and finally, the failure probability reaches a target allowable value by adjusting a crack detection threshold value of nondestructive testing. According to the method, finite element simulation is carried out, the critical crack size of the saddle-shaped welding seam of the integral reinforcing connecting pipe of the pressure-bearing equipment under the complex load is checked based on a failure evaluation icon, the relation between the critical crack size and the allowable crack size is established by assuming that the crack size detected by nondestructive testing obeys normal distribution, and the test efficiency is improved while the number of experiments is reduced. And the reliability of a calculation result is ensured.

The application provides a three-dimensional point AI registration and tolerance analysis method and system for non-contact measurement, relates to the field of three-dimensional point AI registration and tolerance analysis, and comprises the following steps: synchronously collecting point cloud data through a plurality of sensors, and performing adaptive preprocessing to obtain a preprocessed point cloud pair; using local curvature and normal vectors to construct a multi-scale geometric descriptor, and performing multi-scale hierarchical feature extraction to obtain an enhanced point feature set; calculating a bidirectional matching probability matrix by using optimal transport theory, screening high-confidence point pairs through spatial compatibility constraints, obtaining a high-confidence matching point pair set and a matching score, performing transformation matrix estimation and quantitative uncertainty, and outputting an optimal rigid transformation and a covariance matrix; and performing adaptive optimization in layers, dynamically adjusting a search range, and verifying transformation parameters across scales to output a converged accurate registration result. The application is used to solve the defect of low registration accuracy at a low overlap rate in the prior art.

The invention discloses a loading control method and system for a loader based on error margin, and the method comprises the steps: collecting the calibration error and operation error of a sensor, and constructing an error margin model; on the basis of the error margin model, the loading margin is calculated, and the margin space of a loading path is expanded; planning a control path of the loader bucket based on a self-adaptive PID control algorithm, and outputting an actual moving distance of the loader bucket; the position of the loader bucket is monitored in real time through a laser radar, and fine adjustment control or repeated filling operation is triggered. According to the method, modeling and tolerance analysis are carried out on sensor errors in a control strategy, the robustness and reliability of loading actions are improved by establishing an error margin model and introducing a margin compensation strategy in path planning and control output, it is ensured that under the condition that the sensor errors exist, it can still be ensured that a loader completely loads materials into a loaded vehicle, and the loading efficiency is improved. The loading precision of the loader is improved, and the material loss is effectively reduced.

The invention discloses a Gaussian beam shaping rod mirror optimization method. The method comprises the following steps: S1, calculating the spatial distribution of laser beams through ray tracing; s2, according to the physical model of the flat-topped light beam, deriving a mapping function relational expression of any light on an incident plane and an emergent plane, and constructing an optimization algorithm evaluation function; s3, performing optimization design on the optical structure of the rod mirror shaping system through a particle swarm optimization algorithm; and S4, evaluating the machinability of the rod mirror shaping system by using tolerance analysis. The processing feasibility of the optical element can be determined, the stability of the shaping system is improved, the design difficulty of the beam shaping system is reduced, and a better beam shaping effect and a higher energy utilization rate are realized.

This invention discloses a method, apparatus, electronic device, and storage medium for predicting tolerances of aircraft structures. The method includes: acquiring first data corresponding to the aircraft structure; wherein the first data includes at least one structural parameter of the aircraft structure; performing tolerance prediction on the first data based on a first model to obtain second data corresponding to the aircraft structure; wherein the second data is tolerance analysis result data of the aircraft structure; and the first model is a neural network model. This technical solution enables efficient and accurate tolerance analysis of aircraft structures, reduces reliance on the experience of analysts, shortens simulation iteration cycles, and reduces application costs.

The present application relates to the field of information technology, and discloses a method for evaluating and predicting the adaptability of soft capsules to the environment, which comprises the following steps: generating an environmental risk sequence according to the environmental data and the logistics and storage scene data, and obtaining product tolerance analysis results through simulation analysis; predicting the potential damage probability by using the product tolerance analysis results, and determining the storage adaptability of the target product in the proposed sales area; performing an accelerated aging experiment on a product sample according to the composite environmental stress spectrum, collecting aging-related data, and determining stability indicators; constructing a time series data set, analyzing the coupling relationship and lag effect between different indicators in the time series data set; identifying a key acceleration path according to the analysis results, and correcting a shelf life prediction model; and inputting the environmental stress spectrum of different market areas into the corrected shelf life prediction model to calculate the differentiated shelf life prediction value.

The invention provides an automobile side door assembly dimension chain analysis method, which comprises the following steps of: acquiring models of all parts in an automobile side door assembly area, and importing the models of all the parts into dimension tolerance analysis software; and analyzing an assembly relationship and a spatial constraint relationship among the parts. And the assembly relation of all the parts is analyzed in software. According to the geometric dimension tolerance drawing and the spatial constraint relation, constraint elements of the software are established, and tolerance is given to constraint points according to the drawing. And constructing a virtual tool to restrain the X-axis position and the Z-axis position of the side door on the body-in-white. And according to the assembly relationship and the spatial constraint relationship, performing assembly constraint on each part in the software. A measuring element is established on the side door and the body-in-white at an interval of a preset distance and is used for solving simulation data of dimensional tolerance analysis software. Simulation results are obtained through simulation, dimensional tolerance optimization is carried out according to analysis results, the key control points of the automobile side door assembly area are ranked according to the sensitive factors, and therefore the assembly accuracy can be effectively improved.

The present invention relates to a tolerance analysis method for a computational imaging system based on restored image performance, comprising: constructing a universal optical element machining error model; determining the parameter boundaries of the error model based on a given root mean square value of the machining surface shape error, generating machining error parameters, and importing them into optical design software for ray tracing. The system obtains wave aberrations of each field of view to obtain point spread functions of each field of view, superimposes a noise image to obtain a degraded image, thereby constructing a restored image, and evaluating the MTF values ​​of each field of view of the system, using the machining tolerance limits of each optical element; multiplying the machining tolerance limits of each optical element by a proportionality coefficient Ra, and repeatedly executing the above steps, gradually increasing the proportionality coefficient until the machining error boundaries of each optical element in the system are obtained. Compared with the prior art, the present invention can implement tolerance analysis of computational imaging systems and determine the machining tolerance boundaries of optical elements, which has important guiding significance for the machining of optical elements in the system.

This invention provides a method for tolerance analysis of the inlet ring clearance of a nuclear power plant main pump. By taking the clearance between the main pump impeller inlet ring and the suction duct as the optimization target and constructing a dimensional chain, and combining 3D modeling and tolerance analysis software, the method achieves precise definition of assembly relationships and tolerance parameters. At the same time, it introduces rotor dynamics deflection deformation calculation and conditional assembly logic, which can truly reflect the tolerance accumulation law of the main pump under 3D assembly and operating conditions. This significantly improves the accuracy and reliability of clearance tolerance analysis, effectively avoids the risk of rotor rubbing during operation, reduces testing and assembly costs, and thus ensures the long-term safe and stable operation of the nuclear power plant main pump.

The invention relates to a weighted MTF (Modulation Transfer Function)-based tolerance analysis method for an optical-digital combined system, and aims to solve the technical problem that the reliability of a tolerance range obtained by tolerance analysis is relatively low because an evaluation result highly depends on a test scene due to the fact that an image quality evaluation index is not objective enough in the prior art. Monte Carlo experiments based on full-band weighted MTF in the Nyquist frequency are performed on the surface shape error, the installation and adjustment eccentricity error and the installation and adjustment inclination error of the free-form surface optical element respectively, critical values of all tolerances are found out, the critical values of all the tolerances are zoomed through zooming coefficients, the experiments are repeated, and the free-form surface optical element is obtained. And finally determining a critical value of each tolerance item.

The present invention relates to the field of optical processing technology, and in particular to a method for determining optical processing parameters by allocating component manufacturing tolerances. The method characterizes the component surface processing errors generated under the process parameters in the form of characteristic spectra, forms a set of error characteristic spectra of different process parameters, and performs tolerance analysis on the error characteristic spectra together with the component standard surface in optical design software to obtain a characteristic spectrum that requires strict control. The strictly controlled characteristic spectrum is compared with the characteristic spectrum set, and the process parameters corresponding to the optimal error characteristic spectrum are obtained, which are the optimal process parameters. The present invention effectively solves the technical problem that the existing method cannot determine a processing method that meets the tolerance, and provides a theoretical basis for subsequent processing.

The invention relates to the technical field of storage box assembly, in particular to an additive manufacturing storage box assembly method based on digital twinning. The embodiment of the invention provides an additive manufacturing storage box assembly method based on digital twinning, which comprises the following steps: carrying out three-dimensional scanning on storage box parts obtained by 3D printing to obtain point cloud data of an actual geometric model; comparing the point cloud data with an original CAD design model to generate a digital twin representing manufacturing deviation; importing the digital twin and mating part model into an assembly simulation environment, simulating an assembly process, analyzing to obtain an assembly problem, performing tolerance analysis on the assembly problem, and evaluating the influence of manufacturing tolerance on the performance of an assembly; and generating an optimized processing scheme according to the assembly problem and the evaluation result. The embodiment of the invention provides an additive manufacturing storage box assembling method based on digital twinning. The storage box can be assembled in a high-precision mode.

The invention relates to the technical field of optical instrument design, and discloses a line-distance-variable grating spectrometer performance and tolerance collaborative optimization method, a spectrometer, a system, a terminal and a medium, and the method comprises the steps: constructing a performance evaluation function of the spectrometer; determining an optimization variable, and obtaining a target optimization result meeting requirements according to the performance evaluation function and the optimization variable; performing tolerance analysis according to the target optimization result to obtain an evaluation result; and determining a design result of the spectrometer according to the evaluation result. According to the method, a strict ray tracing method is adopted to replace an approximation formula, the calculation precision is improved, high performance is pursued, and meanwhile it is ensured that the design scheme has the high yield under existing machining and assembling tolerances.

The invention relates to the technical field of miter gate manufacturing quality evaluation, in particular to a miter gate manufacturing quality geometric tolerance analysis method based on a center line up-drawing device, which comprises the following steps of: acquiring three-dimensional coordinates of main components of a miter gate based on the center line up-drawing device and a total station; the center line upward guiding device comprises a fixing part, a coarse adjustment part, a horizontal fine adjustment base, a vertical fine adjustment base, a transmission part, a leveling device and an aligning device. Based on the collected three-dimensional coordinates, a miter gate geometric tolerance analysis model is established with the center line of the bottom cross beam and the center line of the gate leaf as the benchmark; and analyzing the geometric quality of the miter gate based on the miter gate geometric tolerance analysis model. According to the invention, efficient acquisition and accurate analysis of parameters such as the width of the gate body, the straightness of the door shaft column and the beveled connection column are realized, data acquisition is more efficient, data analysis is more accurate, and the manufacturing precision of the miter gate and the reliability of an analysis result are effectively improved.

This invention belongs to the field of optical design technology, and particularly relates to a tolerance sensitivity analysis method for lighting systems based on Latin hypercube sampling. The method includes: S1: Determining at least two tolerance items of the lighting system and setting a center value and tolerance variation range for each tolerance item; S2: Treating each tolerance item as a sampling dimension, performing multi-dimensional sampling using the Latin hypercube sampling method to obtain a set of sampling points; S3: Mapping the sampling points contained in the set of sampling points sequentially to the tolerance variation range of the corresponding tolerance item to obtain a set of mapped discrete points; S4: Calculating the evaluation function values ​​corresponding one-to-one with the discrete points contained in the set of discrete points based on ray tracing, and constructing a multi-dimensional fitting model; S5: Substituting the center value of each tolerance item sequentially into the multi-dimensional fitting model to obtain the response curve of each tolerance item, thus completing the sensitivity analysis of each tolerance item. This invention can clearly and efficiently solve the problem of multivariate tolerance analysis in lighting design.

The invention relates to the technical field of metallurgical coking engineering digital design and intelligent manufacturing and installation, in particular to a coke oven door 3D parameterized model controllable generation system and method.The system comprises a creation module used for creating an application program used for CAD software loading, and the application program is formed by compiling a script file and a dialogue control language file; the loading module is used for loading the created application program into the CAD software; the receiving module is used for receiving a modeling instruction input by a user, loading a dialog control language file through CAD software after receiving the modeling instruction so as to display a user dialog box, and receiving a coke oven door model parameter instruction input by the user through the user dialog box; the modeling module is used for acquiring the coke oven door model parameter instruction received by the receiving module, loading a script file so as to acquire design parameters of the coke oven door corresponding to the coke oven door model parameter instruction, and establishing a three-dimensional model of the coke oven door through CAD software according to the acquired design parameters; and the established three-dimensional model is rotated and placed in a standing manner. According to the technical scheme, full-parameterized driving modeling of the furnace door structure is achieved, and rapid design change is supported; a special modeling tool is developed based on an AutoCAD platform, and the design efficiency is improved; mechanical simulation and thermal deformation analysis are integrated, and the furnace door structure design is optimized; manufacturing tolerance analysis and installation quality prediction are supported, and the engineering reliability is improved; and a digital design-manufacturing-detection closed-loop system is constructed, and intelligent manufacturing is assisted.

The invention relates to an assembly deviation prediction method and device based on a ship propulsion system. The method comprises the steps that part manufacturing data, actual working conditions and load distribution information of a ship propeller are acquired; constructing an assembly deviation transfer model based on the part manufacturing data; performing simulation through a Monte Carlo method based on the deviation transfer model, and constructing a rigid deviation prediction model; performing flexible assembly deviation analysis on the rigidity deviation prediction model based on a finite element method to obtain flexible deviation data; constructing a rigid-flexible coupling deviation prediction model based on the flexible deviation data and the rigid deviation prediction model; according to the method, prediction is carried out through the rigid-flexible coupling deviation prediction model according to the actual working condition and the load distribution information, the overall assembly deviation of the ship propeller is obtained, accurate prediction of the assembly deviation is achieved by introducing the rigid-flexible coupling deviation prediction model coupling rigid body tolerance analysis and flexible deformation deviation, and then the assembly precision is effectively improved.

The application provides a power core engine hot-state assembly deviation prediction method, device, equipment and medium, a first model for core engine assembly deviation virtual prototype simulation and analysis is established; tolerance analysis is performed on the first model to determine the key features affecting the assembly deviation of each component of the core engine, the obtained 2D and 3D fusion data of the key features are compared with the corresponding component model to obtain a first correction model; according to the working temperature distribution of the core engine and the thermal expansion coefficients of the materials of each component of the core engine, a second model for core engine temperature field and thermal deformation simulation is established to extract the three-dimensional thermal deformation amount of the key features; the three-dimensional thermal deformation amount is introduced into the first correction model to form a third model, and tolerance analysis is repeatedly performed to predict the assembly deviation and interference of the core engine under the hot state. The application can realize the prediction of the assembly deviation and interference of the core engine under the hot state, and has important economic value and application prospect.

The invention relates to the technical field of computer vision and three-dimensional point cloud processing, in particular to a three-dimensional model data processing method for automobile assembly tolerance analysis, and the method comprises the steps: calculating the probability of point cloud data belonging to an initial seed point according to the curvature, reflection intensity and local density of the point cloud data, determining an initial seed point in the point cloud data; obtaining a growth area by using the initial seed point, and calculating the fitting probability of the edge point through the curvature variance and the normal vector angle variance of the edge point; fitting is carried out after fitting edge points are determined from the edge points of the growth area based on the fitting probability, and a spline curve of the growth area is obtained; the virtual points are inserted in the tangential direction of the spline curve of the growth area, the growth area and the virtual points are fitted, and a detection path is planned after the automobile surface contour is obtained, so that the assembly tolerance analysis of the automobile surface contour is realized, and the accuracy of the assembly tolerance analysis of the automobile surface contour is effectively improved.

The application provides a simulation-based rear suspension parameter adjustment method, system, device and medium, which comprises the following steps: obtaining target parts associated with each rear suspension parameter, constructing an assembly structure tree based on the connection points of the target parts, and the assembly structure tree is used to represent the composition and assembly sequence of different target parts; determining the assembly fitting points of each part and the corresponding target part according to the assembly structure tree; constructing a tolerance analysis model according to the assembly fitting points, and performing assembly iteration on each assembly fitting point based on the tolerance analysis model, so that the assembly tolerance of each assembly fitting point meets the preset tolerance constraint, thereby obtaining a target assembly scheme and the position adjustment range of the target parts based on the corresponding connection points, and performing physical assembly based on the target assembly scheme and the position adjustment range. The application can effectively improve the accuracy and efficiency of rear suspension parameter adjustment.

The present application relates to the technical field of mechanical dynamics, and particularly relates to a kind of dynamics modeling method of gear transmission system containing system error cumulative influence, comprising: the assembly body size chain diagram of gear transmission system is constructed;Corresponding jacobian spinor model is established based on assembly body size chain diagram;Using jacobian spinor model, the spinor of each gear node in gear transmission system under the influence of system cumulative error is obtained;The dynamic error of gear pair normal meshing line direction under the influence of cumulative error of gear transmission system is obtained;The dynamic response of gear transmission system is obtained by solving the dynamic equation and solving the dynamic equation.The present application considers the influence of cumulative error in gear transmission system due to manufacturing installation on system response, realizes the combination of dynamics model and three-dimensional tolerance analysis technology, fills the current technical blank of gear transmission system dynamics modeling, and provides a theoretical basis for accurate analysis of dynamic characteristics of gear transmission system.

The invention discloses a modeling method from tolerance to tooth surface error of key parts of a forming gear grinding machine, which comprises the following steps of: 1, analyzing a kinematic chain and the key tolerance: analyzing a five-axis kinematic chain structure of the forming gear grinding machine, and identifying tolerance items of the key parts which have obvious influence on geometric error of each kinematic axis; step 2, tolerance-geometric error mapping modeling: establishing a mapping model from the tolerance of the key part to the geometric error of the motion axis; 3, geometric error-pose error transfer modeling: according to the kinematic chain structure, constructing a transfer model from the motion axis geometric error to the tool / workpiece pose error based on homogeneous coordinate transformation; step 4, integration of a comprehensive precision prediction model: establishing a comprehensive precision prediction model from key part tolerance to tooth surface pose error; and 5, model solving and precision prediction: solving the comprehensive precision prediction model by adopting a Monte Carlo simulation method, simulating and generating a motion axis geometric error and a tooth surface pose error, and realizing machining precision prediction.

The application discloses a robust design method of surface-mounted permanent magnet synchronous motor considering manufacturing tolerance, and the method is as follows: step 1, a parameterized model and a data set of the surface-mounted permanent magnet synchronous motor are established; step 2, a multi-output proxy model based on integrated learning is constructed; step 3, a manufacturing tolerance model is constructed; step 4, a robust genetic algorithm considering manufacturing tolerance is executed; and step 5, evolution optimization and verification are performed. Through construction of a high-precision mapping model of structure parameters-performance indexes, and embedding tolerance analysis based on Monte Carlo sampling in the individual evaluation link of the genetic algorithm, the performance robustness optimization of the motor design scheme in the manufacturing error environment is realized. Compared with the method of optimization only under the nominal size, the application can significantly reduce the performance discreteness of batch products, improve the tolerance to manufacturing deviation and the qualified rate while maintaining the motor efficiency and output torque level, and is suitable for structural design and parameter optimization of various permanent magnet motors.

The invention belongs to the technical field of optical design, and particularly relates to an illumination system tolerance sensitivity analysis method based on Latin hypercube sampling. Comprising the following steps: S1, determining at least two tolerance items of the lighting system, and setting a central value and a tolerance change range for each tolerance item; s2, taking each tolerance item as a sampling dimension, and performing multi-dimensional sampling by adopting a Latin hypercube sampling method to obtain a sampling point set; s3, sequentially mapping sampling points contained in the sampling point set to a tolerance change range of a corresponding tolerance item to obtain a mapped discrete point set; s4, calculating evaluation function values in one-to-one correspondence with discrete points contained in the discrete point set based on a ray tracing method, and constructing a multi-dimensional fitting model; and S5, sequentially substituting the central value of each tolerance item into the multi-dimensional fitting model, correspondingly obtaining a response curve of each tolerance item, and completing sensitivity analysis of each tolerance item. According to the method, the problem of multivariable tolerance analysis in illumination design can be clearly and efficiently solved.

The present invention discloses a method for controlling gear noise of a motor reducer, comprising: establishing and obtaining a dynamic analysis model of a flexible support gear system based on a grid model of a reducer housing structure and a dynamic model of a gear system in combination with a model optimization method; performing gear meshing analysis on the dynamic analysis model of the flexible support gear system to determine initial design values of microscopic parameters of the flexible support gear system; performing microscopic parameter tolerance analysis on the initial design values of the microscopic parameters, and determining a microscopic parameter range of the flexible support gear system according to the results of the microscopic parameter tolerance analysis; evaluating the microscopic parameter range of the flexible support gear system, and determining nominal design values and tolerances of the microscopic parameters of the flexible support gear system according to the evaluation results; and performing tolerance analysis on the microscopic parameters of the motor reducer gear to obtain a result that the microscopic parameters meet the consistency of the reducer gear whistling noise while reducing the gear precision level as much as possible to reduce the manufacturing cost.