16 results about "Ideal surface" patented technology

The invention provides a stamping part surface roughness detection method and system based on image recognition, and the method comprises the steps: building a surface contour database according to a metal square lattice standard model stamped by a texturing die, obtaining the actual contour data of the surface of a stamping part, comparing the difference between the actual contour and the metal square lattice standard model, and determining the surface roughness of the stamping part. The method comprises the following steps: obtaining a microscopic deformation feature distribution image, optimizing the microscopic deformation feature distribution image, calculating probability distribution of each pixel point belonging to real surface roughness or microscopic deformation, obtaining a continuous microscopic deformation area mask, calculating a deviation between an actual contour and an ideal surface as a corrected roughness value, and aiming at the corrected roughness value, obtaining a microscopic deformation feature distribution image; according to the characteristics of the stamping part, the surface is divided into a plurality of characteristic areas, when new stamping part surface data is input, the surface roughness grade is judged through the surface quality evaluation model, and the stamping part surface roughness detection method is beneficial to improving the stamping part surface roughness detection precision.

The invention provides a curved surface conformal antenna assembly process deformation prediction method, and relates to the field of assembly process intelligent prediction. Comprising the following steps: establishing a workpiece profile library based on actually measured profile data and simulated profile data, and carrying out finite element simulation analysis on the workpiece profile library in the assembly process with different process parameters to obtain a deformation result after assembly; by taking the curved surface manufacturing error and the process parameters as input and the post-assembly deformation result as output, training and building an assembly deformation prediction model based on the GAN; and importing the profile data detected in real time into the assembly deformation prediction model, predicting assembly deformation images under different process parameters, and taking the result with the minimum error between the assembly deformation images and the ideal curved surface model as the optimal assembly process parameter meeting the current condition. According to the method, deformation in the curved surface assembly process is predicted in real time, optimal assembly process parameters can be determined according to actual curved surface manufacturing errors, and the problems that the curved surface antenna is invisible in the assembly process and difficult to install and adjust are solved.

The invention relates to an electric arc additive steel pipe bearing three-dimensional simulation and prediction method, which comprises the following steps: carrying out three-dimensional laser scanning geometric measurement on an electric arc additive steel pipe, and setting anisotropic material parameters based on actually measured data; constructing a fluctuating morphology scanning model, and determining an optimal grid size through grid size sensitivity analysis; an ideal surface flat model is constructed, and slenderness ratio parameterization expansion is carried out; and carrying out three-dimensional simulation prediction, comparing and verifying by combining test data, and obtaining a bearing capacity design fitting prediction formula based on a verification result. The method has the beneficial effects that the material anisotropy and the surface fluctuation irregularity of the electric arc additive structural member are considered, and the three-dimensional simulation prediction model of the electric arc additive steel pipe bearing is established through calculation model simplification, grid unit division, boundary condition setting and contact surface setting; the method can be used as a large-scale parameterization performance prediction analysis method, and a novel high-efficiency and high-precision three-dimensional simulation and prediction practical method is provided for the structure.

The invention relates to an electric arc additive T-shaped bolt connection three-dimensional simulation and prediction method, which comprises the following steps: carrying out three-dimensional laser geometric scanning on an electric arc additive T-shaped part, and carrying out parameter processing on an obtained scanning model; anisotropy constitutive parameters of the electric arc additive T-shaped part are defined, and a material failure criterion is set; constructing an ideal surface flat model and a fluctuating surface scanning model; the bearing performance is predicted through the simulation model and compared with a test result to verify the accuracy of the model. The method has the beneficial effects that the material anisotropy and surface fluctuation irregularity of the electric arc additive structural member are considered, and the three-dimensional simulation prediction model of the electric arc additive T-shaped bolt connection is established through calculation model simplification, grid unit division, boundary condition setting and contact surface setting; the method can be used as a large-scale parameterization performance prediction analysis method, and a novel high-efficiency and high-precision three-dimensional simulation and prediction practical method is provided for the structure.

The invention relates to the technical field of machining part non-ideal surface generation, and particularly discloses a wavelet and fractal-considered assembly junction surface construction method which comprises the following steps: S1, according to an ideal mathematical model of an assembly junction surface, S2, comparing calculation methods of different fractal parameters, S3, aiming at the part assembly junction surface in different machining modes, calculating fractal fractal parameters according to a calculation method of the different fractal parameters; s4, the assembly junction surface is regarded as a structure formed by superposition of contours of different scales, S5, a power spectrum analysis method is introduced to analyze the surface contour curve characteristics of the assembly junction surface, and S6, according to the isotropic or anisotropic properties of the surface of the assembly junction surface in different machining modes, the surface contour curve characteristics of the assembly junction surface are analyzed. The statistical distribution characteristic parameters determined in the step S3 are introduced into characterization of the assembly joint surface; and S7, the contour curve characteristic parameters extracted in the step S4 are associated with the fractal parameters determined in the step S2. According to the method, multi-scale decomposition is carried out on the assembly joint surface through wavelet transform, and the specificity information of the roughness contour, the waviness contour and the shape error contour can be effectively extracted.

The application relates to the technical field of non-ideal surface generation of machined parts, and particularly discloses a construction method of an assembly joint surface considering wavelet and fractals, which comprises the following steps: S1, according to an ideal numerical model of the assembly joint surface; S2, comparing calculation methods of different fractal parameters; S3, aiming at the assembly joint surface of parts under different machining modes; S4, regarding the assembly joint surface as a structure formed by superposition of different scale contours; S5, introducing a power spectrum analysis method to analyze the surface contour curve characteristics of the assembly joint surface; S6, according to the isotropic or anisotropic properties of the assembly joint surface under different machining modes, introducing the statistical distribution characteristic parameters determined in step S3 into the representation of the assembly joint surface; and S7, associating the contour curve characteristic parameters extracted in step S4 with the fractal parameters determined in step S2. Through multi-scale decomposition of the assembly joint surface by wavelet transform, the specific information of the roughness contour, the waviness contour and the shape error contour can be effectively extracted.

The application belongs to the field of finite element modeling, and particularly relates to a finite element modeling method considering multi-scale characteristics of an assembly interface, structural data of a rough surface is collected, a rough surface height matrix is obtained after convolution coefficient calculation; an ideal surface corresponding to the rough surface is determined, and geometric information of the ideal surface is obtained; the rough surface height matrix is modeled and superimposed on the ideal surface to obtain superimposed rough surface information; finite element modeling is performed on different superimposed rough surface information of the multi-scale surface to obtain a finite element model containing multi-scale characteristics of the assembly interface. The technical problem that existing finite element modeling software and tools cannot directly realize multi-scale modeling of the assembly interface and can only establish a model based on ideal product size, resulting in an ideal smooth contact state of the assembly interface, is solved, and the multi-scale characteristics of the assembly interface are successfully included in the product finite element model, so that the model can contain multi-scale geometric information of the actual surface of the part.

This invention discloses a method for modeling non-ideal surfaces of complex curved parts based on quasi-conformal mapping, belonging to the technical field of complex curved part modeling. The method includes: constructing an initial manufacturing deviation field by calculating the normal distance between each node of the theoretical model surface and the corresponding measured point cloud data; unfolding the developable surface region of the part surface to a two-dimensional plane, and mapping the non-developable surface region to a two-dimensional rectangular domain based on quasi-conformal mapping; obtaining the mapped manufacturing deviation field; performing discrete cosine transform mode decomposition to identify and retain key deviation modes that meet preset energy compaction requirements, and reconstructing them through inverse discrete cosine transform to obtain the reconstructed mapped deviation field; and mapping the reconstructed mapped deviation field back to the original three-dimensional surface of the part through quasi-conformal inverse mapping to construct the non-ideal surface model of the part. This invention achieves high-fidelity modeling of the surface of composite parts containing complex curved surfaces, improving the reliability of assembly accuracy prediction.

The invention relates to the technical field of optical element precision manufacturing, in particular to an optical element three-dimensional modeling method based on normal projection inverse transformation. Comprising the steps of establishing an ideal curved surface parameterization vector expression according to optical design parameters, and determining a curved surface body coordinate system and a vector height function; solving the gradient of the rise function to obtain gradient information of each point of the curved surface and calculating a unit normal vector; projecting the three-dimensional curved surface points to a preset reference plane along the normal direction of the curved surface, establishing a forward geometric mapping relation from the three-dimensional coordinates of the curved surface body coordinate system to the measurement coordinates of the interferometer, and obtaining an explicit expression of the measurement coordinates; two-dimensional normal error distribution data of the optical element are collected, errors are overlaid in the normal direction to construct an actual curved surface expression containing manufacturing errors, and the corresponding relation between three-dimensional normal errors and measurement data is established; and on the basis of forward mapping relation numerical value inverse transformation, the measurement coordinates are inversely calculated into curved surface body coordinates, and the curved surface body coordinates are substituted into an actual curved surface expression to obtain a complete three-dimensional curved surface model containing manufacturing errors.

The invention relates to a high aspect ratio micropore groove standard template and a preparation and characterization method thereof, and the characterization method comprises the steps: carrying out the plane imaging of an orifice of a to-be-sliced micropore groove, extracting the edge contour of the orifice of the micropore groove, and obtaining the reference diameter of the to-be-sliced micropore groove through calculation; preliminarily cutting the standard sample plate along the macroscopic marking line to obtain a primary slice; grinding is carried out along the macroscopic marking line until the medium-size marking line is reached, and a secondary slice is obtained; grinding the secondary slices layer by layer by taking the medium-size marking line as a cut-in path and the reference diameter as a target diameter to obtain a preparation surface of a diameter section; obtaining an actual measurement value of the preparation surface; and based on the measured value and the reference diameter, establishing a space geometric deviation model for representing the deviation between the preparation surface of the diameter section and the ideal surface, performing error compensation on the measured value, and converting the measured value into an equivalent value of the ideal surface. The represented standard sample plate can meet the accurate calibration requirement of the nondestructive measurement instrument equipment for the micropore groove with the high depth-diameter ratio.

Provided is a high-precision grinding apparatus for a sealing pair of a triple eccentric butterfly valve, belonging to the technical field of grinding apparatuses. The high-precision grinding apparatus comprises an apparatus body (51), an apparatus base (10), a rotating base (101), a cross beam (52), a grinding-head slide carriage (54), an operating platform (56), a hydrostatic‑hydrodynamic grinding-head motorized spindle (103), an X-axis movement assembly, a Z-axis movement assembly (55), and a swing-angle driving mechanism, wherein the X-axis movement assembly is configured to drive a transverse slide carriage (53) to move, and the swing-angle driving mechanism is configured to drive the rotating base (101) to rotate relative to the apparatus base (10). By means of providing the swing-angle driving mechanism, the X-axis movement assembly and the Z-axis movement assembly (55), a grinding wheel (104) always moves on a sealing surface, which is subjected to grinding, of a workpiece during grinding, that is, following grinding is performed. The ideal surface finish of the ground surface of the sealing pair reaches Ra0.2 or less, and the roundness of inner and outer ground circles reaches 0.003 mm. The machining time is fully utilized, improving the grinding efficiency; the grinding force is uniform, improving the grinding precision; and the compatibility and sealing performance of the sealing pair of the triple eccentric butterfly valve are ensured, thereby achieving 100％ sealing pair interchangeability.

The present invention relates to a high-aspect-ratio micro-hole groove standard template and its preparation and characterization method. The characterization method includes: imaging the aperture plane of the micro-hole groove to be sliced, extracting the edge contour of the micro-hole groove aperture, and calculating the reference diameter of the micro-hole groove to be sliced; performing preliminary cutting of the standard template along the macro-marking line to obtain a primary slice; grinding along the macro-marking line until stopping at the medium-size marking line to obtain a secondary slice; using the medium-size marking line as the cutting path and the reference diameter as the target diameter, grinding the secondary slice layer by layer to obtain a prepared surface of the diameter section; obtaining the measured value of the prepared surface; and establishing a spatial geometric deviation model for characterizing the deviation between the prepared surface and the ideal surface of the diameter section based on the measured value and the reference diameter, performing error compensation on the measured value, and converting the measured value into the equivalent value of the ideal surface. The characterized standard template can meet the precise calibration requirements of non-destructive measurement instruments and equipment for high-aspect-ratio micro-hole grooves.

The present invention relates to a method for surface shape correction of a thin film element based on a high steepness filter, which solves the problem of how to accurately control the thickness of the SiO₂ film during double-sided coating to achieve the control of the surface shape of the thin film element by using the stress of the SiO₂ film. The present invention establishes a mathematical model for surface shape correction of the thin film element, obtains the mathematical model between the thickness of the SiO₂ film and the deformation of the thin film element after two surface shape corrections of the same thin film element. Subsequently, a high steepness filter is prepared by using two materials with high and low refractive indexes and coated on the front surface of the substrate. The thickness of the SiO₂ film for the first surface shape correction is calculated according to the thickness of the high steepness filter on the front surface of the substrate for the first surface shape correction. Subsequently, the thickness of the SiO₂ film for the second surface shape correction is calculated according to the mathematical model for surface shape correction of the thin film element for the second surface shape correction. According to the relationship between the thickness of the SiO₂ film and the deformation of the thin film element after two surface shape corrections of the same thin film element, two surface shape corrections can achieve an ideal surface shape.

The invention provides a surface corrosion-resistant pretreatment method, which is used for a wind power modular cabin and accessories thereof, and comprises the following steps: S1, environment and base material state control: placing a base material under an environmental condition with the relative humidity not higher than 70%, and enabling the surface temperature of the base material to be at least 3 DEG C higher than the dew point temperature of ambient air; s3, shot blasting treatment is conducted, specifically, the surface of the base material is subjected to shot blasting treatment; s5, spraying treatment is conducted, specifically, spraying treatment is conducted on the surface of the base material; wherein the step S5 is started within 4 hours after the step S1 is completed. According to the method, the base material has an ideal surface state through the step of controlling the environment and the state of the base material. And through shot blasting treatment, the rough surface of the base material is more beneficial to permeation and anchoring of the coating. And spraying treatment is started within 4 hours after the environment control step is completed, it is guaranteed that the surface of the base material is in the optimal state all the time, and therefore the spraying quality and the long-term stability of a coating are guaranteed, and the overall corrosion resistance of the base material can be effectively improved.

The present invention provides a method for predicting deformation during the assembly process of a curved conformal antenna, which relates to the field of intelligent prediction of assembly processes. The method comprises the following steps: establishing a workpiece surface library based on measured surface data and simulated surface data, performing finite element simulation analysis of the assembly process under different process parameters on the workpiece surface library, and obtaining the deformation results after assembly; training and building a GAN-based assembly deformation prediction model using surface manufacturing errors and process parameters as input and the deformation results after assembly as output; importing the surface data detected in real time into the assembly deformation prediction model, predicting the assembly deformation images under different process parameters, and using the result with the minimum error between the assembly deformation image and the ideal surface model as the optimal assembly process parameters that meet the current conditions. The present invention achieves real-time prediction of deformation during the curved surface assembly process and can determine the optimal assembly process parameters based on the actual curved surface manufacturing errors, thereby solving the problem that the curved antenna assembly process is invisible and difficult to assemble and adjust.

This invention relates to the field of mold polishing technology, specifically to an automatic polishing method and system for neodymium iron boron molding dies. The method includes: clamping the die to be polished and using a laser profilometer to measure reference points and establish a workpiece coordinate system; registering the surface model and surface roughness parameters in the workpiece coordinate system to obtain the surface data to be processed; resampling the areas to be polished to determine the polishing depth and planning graded polishing trajectories; and calling the corresponding polishing modules to execute the graded polishing trajectories. Addressing the problem of uneven polishing and surface misalignment that easily occur in existing automated polishing systems when handling complex surface polishing tasks, this invention determines the available polishing depth at different points based on the error between the surface data to be processed and the ideal surface data, and plans graded polishing trajectories for polishing modules with different roughnesses. This eliminates rough surfaces and burrs, while ensuring that the final polishing result matches the ideal surface data.