91 results about "Waviness" patented technology

The invention relates to the technical field of machining, in particular to an intelligent control system and method for sapphire substrate polishing, and the method comprises the following steps: S1, surface topography data acquisition: collecting surface roughness data and a three-dimensional topography distribution diagram of a sapphire substrate in real time; s2, generating characteristic parameters: extracting the surface waviness, the local recess depth, the bulge density, the lattice distortion index and the residual stress distribution gradient as the characteristic parameters; s3, dynamic parameter adjustment: generating a dynamic adjustment instruction of the polishing pressure, the rotating speed of the polishing disk and the supply rate of the polishing solution; s4, distribution optimization of the polishing solution: realizing uniform coverage of the polishing solution on the surface of the substrate; s5, stress real-time monitoring: generating a stress abnormity early warning signal; s6, outputting a closed-loop control instruction: feeding back a stress abnormity early warning signal to the adaptive control model, and iteratively correcting the dynamic adjustment instruction; according to the method, the risks of stress concentration and fatigue damage can be reflected in real time, and the safety and high efficiency of the polishing process are ensured.

The invention discloses a security camera lens production process dynamic multi-parameter process monitoring method, and relates to the technical field of multi-parameter process monitoring. The method comprises the following steps: collecting process parameters and waviness characteristic data; collecting optical characteristics and physical response data of security camera lens raw materials; discretizing the data, and generating raw material standard data according to material types and performance; collecting real-time polishing data, and calculating to obtain a polishing deviation factor vector; calculating a weight through an entropy weight method to obtain a polishing alarm correction index, giving an alarm and adjusting polishing parameters when the polishing alarm correction index exceeds a threshold value, and obtaining corrected geometric feature data; the method comprises the following steps: collecting data in a coating stage, obtaining coating material response and processing environment data through a two-dimensional feature extraction method, and respectively calculating a material response deviation index and a processing environment disturbance index; and combining the two indexes to obtain the comprehensive deviation index of the coating process. According to the comprehensive deviation index of the coating process, the production process of the security camera lens is monitored in real time.

The invention provides a concrete interface morphology feature extraction and reconstruction method. The method mainly comprises the following steps: (1) obtaining a representative profile curve of a concrete interface morphology; (2) decomposing the obtained representative profile curve into three components, namely a macroscopic shape profile, a waviness profile and a roughness profile; (3) carrying out statistical analysis on three components of a macroscopic shape contour, a waviness contour and a roughness contour obtained by decomposition; and (4) reconstructing the concrete rough interface morphology based on the statistical law of the three components of the macroscopic shape contour, the waviness contour and the roughness contour. The method disclosed by the invention is reasonable in conception, not only breaks through the limitation of single representation by a'roughness' index traditionally, but also fully excavates the multi-scale information of the surface appearance of the concrete, and provides a basis for the reconstruction of interface characteristics and the analysis of the adhesive property.

The invention provides a three-dimensional skin waviness fitting analysis method. The method comprises the following steps: performing boundary analysis on skin point cloud data obtained by laser measurement, performing interpolation sampling from the point cloud data according to a specified area and resolution to obtain point cloud coordinates which can reflect the real condition of the skin and are regularly arranged, performing bicubic spline surface least square approximation based on a sampling point set, and calculating the skin point cloud data according to the bicubic spline surface least square approximation. The method comprises the following steps: acquiring a reference curved surface reflecting the overall distribution trend of an analysis area, calculating distance deviation from a sampling point to the reference curved surface, carrying out filtering smoothing processing, forming a smooth deviation curved surface capable of reflecting the deviation condition of a measurement curved surface, extracting information such as wave crest and wave trough positions, wave amplitude, wavelength and slope in the deviation curved surface, and carrying out skin waviness characteristic analysis. According to the method, the tiny waviness characteristics of the irregular curvature surface of the aircraft can be extracted, the skin waviness distribution condition can be visually displayed, and the method has the advantages of being wide in applicability, small in error, high in reliability, low in time cost and the like.

The invention provides an aviation nacelle part waviness automatic detection and evaluation method, and belongs to the field of product production detection, and the method comprises the steps: carrying out the protocol scanning of part surface contour features, and obtaining the undistorted coordinate point discrete point cloud data of the actual surface contour; filtering the point cloud data; obtaining a piece of flattened deviation value discrete point cloud data; obtaining a flattened deviation value continuous curve by adopting a general standard curve reduction method; extracting waviness components, and obtaining a curve center line; obtaining a crest value and a trough value participating in calculation; and calculating the maximum wave amplitude, the waviness and the slope for evaluating the waviness by using the wave peak value and the wave trough value. According to the method, the relation between the minimum cut-off wavelength of the waviness and the sampling interval is stipulated, the undistorted reduction of the surface profile curve is ensured, the influence of non-waviness profile components in the digital evaluation of the waviness is eliminated through a combined calculation method, and the evaluation accuracy of the waviness of the aviation nacelle part is improved.

The invention discloses a method for automatically calculating the waviness of an aircraft profile in an MATLAB environment, and the method comprises the steps: 1, obtaining the plane section point location data of the waviness of the aircraft profile based on the reverse point cloud data of the aircraft profile; and step 2, automatically calculating the airplane profile waviness in the MATLAB environment, including plane classification of point location data, three-dimensional coordinate system conversion, two-dimensional wave crest and wave trough point location calculation, wave crest and wave trough point coordinate system reverse conversion, waviness calculation and form report output on the point location data of the plane cross section obtained in the step 1 through a program in the MATLAB environment. Therefore, automatic calculation of the airplane appearance waviness is completed. According to the invention, the problem that the existing detection mode for the airplane profile corrugation is difficult to have convenient operability, detection precision and detection efficiency at the same time is solved.

The invention belongs to the field of gear machining detection, and particularly relates to a cylindrical gear ghost order detection method and detection equipment based on tooth surface waviness analysis. The method comprises the following steps: firstly, acquiring tooth surface deviation data of each tooth in a gear, carrying out resampling, inclination error correction and de-modification on the tooth surface deviation data, and then combining the tooth surface deviation data into full-tooth deviation curves in four directions; and then extracting waviness data and generating a full-tooth waviness curve. After RC is carried out on a full-tooth waviness curve, on one hand, the full-tooth waviness curve is converted into a frequency domain signal for selecting a frequency range, on the other hand, spectral analysis is carried out on a waviness signal through an iterative sine wave fitting algorithm within the specified frequency range, sine wave components are extracted, and a corresponding order spectrum is generated. And finally, when a sine wave component of which the amplitude is greater than or equal to 0.02 mu m and which is in a non-integral multiple harmonic order with the tooth number exists in the order spectrum of the target gear, detecting the gear ghost order. According to the invention, the problem of lack of a high-precision and high-efficiency waviness analysis and gear ghost order detection method in the prior art is solved.

The invention discloses an involute helical gear tooth surface waviness rapid detection method based on wavelet transformation, relates to the technical field of gear measurement and evaluation, and aims to solve the problems of low efficiency, insufficient anti-interference capability and limited extraction precision in existing tooth surface waviness detection. High-density data sampling is carried out on a specified tooth surface of an involute helical gear, a multi-scale characteristic decomposition signal of wavelet transform is utilized, a tooth surface waviness signal is separated from complex morphology characteristic components, and in combination with a threshold optimization algorithm, detail characteristics of waviness are effectively reserved, and meanwhile interference of non-correlation signals is restrained. In addition, efficient data processing and real-time waviness feature extraction are realized by designing a rapid analysis process and an automatic parameter adjustment mechanism. The method is suitable for gear quality detection in a batch production environment, and provides a reliable basis for defect diagnosis and optimization in a gear manufacturing process. Compared with a traditional detection method, the method has remarkable advantages in the aspects of detection precision, stability and speed.

The present invention discloses a gear meshing noise evaluation method based on a gear transmission error curve, specifically comprising the following steps: Step 1: Acquisition of tooth surface waviness based on the gear measurement center; Step 2: Synthesis of the gear full tooth surface waviness curve; Step 3: Calculation of gear transmission error based on the envelope; Step 4: Fourier analysis of the gear transmission error curve based on sine fitting; Step 5: Calculation of the order spectrum; Step 6: Analysis of abnormal orders. The gear transmission error curve can be decomposed into harmonic components of different frequencies through sine fitting Fourier analysis, with each harmonic corresponding to a specific order in the gear error. Abnormal orders can excite vibrations of specific frequencies. Identifying and eliminating abnormal orders is a key step in analyzing gear noise problems.

The present invention relates to a helical gear detection method and gear detection system based on waviness information. The helical gear detection method based on waviness information comprises the following steps: extracting the full tooth waviness information of the helical gear; processing the full tooth waviness information to obtain a frequency spectrum; calculating the angle α of the waviness on any single tooth of the helical gear; judging whether the gear meets the noise requirement based on the angle α of the waviness on the single tooth and the frequency spectrum. The present invention calculates and extracts the important factors affecting the gear meshing noise by analyzing the full tooth order of the involute helical gear and the three-dimensional angle of the single tooth topology. It can effectively detect the tooth surface waviness information, identify and discover ghost frequencies, and analyze the angle of the corrugation line. Compared with the existing detection method, it greatly improves the fitting quality of the data, thereby improving the detection accuracy of the gear, so that it meets the noise detection requirements, and provides a new detection method for the production of high-speed and low-noise gears.

The embodiment of the invention discloses a waviness determination method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining a target region of an aircraft and a three-dimensional point cloud model corresponding to the surface of the target region, and carrying out the sectioning processing of the three-dimensional point cloud model, and obtaining a sectioning spline curve of the three-dimensional point cloud model; determining coordinates of a target interpolation point according to the point cloud points on the sectioning spline curve, and generating an interpolation spline curve according to the coordinates of the target interpolation point; determining whether the interpolation spline curve is equivalent to the sectioning spline curve or not according to the curvature of the sectioning spline curve, the curvature of the interpolation spline curve and the distance between the sectioning spline curve and the interpolation spline curve; if yes, wave crest points and wave trough points of the interpolation spline curve are determined, the waviness of each corrugation on the surface of the target area is determined according to the wave crest points and the wave trough points of the interpolation spline curve, and the waviness of the surface of the aircraft can be accurately and efficiently determined.

The invention belongs to the field of neutron optical devices, and relates to a neutron conduit waviness measuring method. The method comprises the following steps: S1, defining a waviness parameter sigma as an index for measuring the flatness of a reflecting surface, and calculating through a specific formula; s2, a total station is used for being matched with an auto-collimation eyepiece, in an auto-collimation mode, light beams of the total station irradiate the reflection surface, the normal incidence state is determined, and the angle is recorded; s3, mounting the total station on a high-precision guide rail, sliding along the guide rail, repeating the step S2 at a plurality of positions at equal intervals, recording a current instrument angle, and transmitting the current instrument angle to a computer; s4, processing the data by using a spreadsheet template, and calculating waviness according to the geometrical shape; and S5, evaluating the waviness value and the normal accuracy of the side wall of the multi-section conduit, and analyzing the influence of the waviness value and the normal accuracy on neutron reflection. The neutron reflection quality and the multi-section guide rail butt joint integration quality can be evaluated more accurately, the method is suitable for guide pipes in various geometrical shapes, design and manufacturing can be guided, the production efficiency can be improved, and support is provided for device improvement.

The invention belongs to the field of data processing, and particularly relates to a three-dimensional roughness evaluation method for a rock mass structural plane, which comprises the following steps of: performing multi-scale decomposition on point cloud data by utilizing two-dimensional continuous wavelet transform, and introducing scale confidence to correct the unreliability of small-scale analysis; the method comprises the following steps: automatically identifying valley point scales in a double logarithm correction scale roughness spectrum, and separating macroscopic undulations and microcosmic rough bodies representing roughness types; according to the method, the total roughness and the wave roughness energy ratio are combined, a double-threshold classification system is established, rock mass structural surfaces are divided into four types, and therefore more accurate and more physical mechanical response prediction and parameter bases are provided for stability analysis and support design of geotechnical engineering.

A blank sheet which is a material for an outer plate component for an automobile includes a steel sheet. A rolling direction of the steel sheet extends along a longitudinal direction of the blank sheet, and a thickness is 0.6 mm or less. The steel sheet may have a chemical composition in which arithmetic average waviness Wa is 0.10 to 0.30 μm. The steel sheet may have a chemical composition in which ΔC calculated from C20 that is a C content at a depth position of 20 μm from a surface, C60 that is a C content at a depth position of 60 μm from the surface, and Expression (1) is 0.20 to 0.90 mass % / mm, and a tensile strength is 500 MPa or greater,ΔC=(C60−C20) / (0.04)  (1).

By analyzing the micro-texture of the machined surface, inverse estimation of tool mounting eccentricity is realized on the machine tool. [Solution] Under predetermined workpiece parameters, simulation machining is performed based on multiple parameter sets obtained based on different tool parameters, tool attitude parameter settings, and cutting parameters, and the surface shape after machining for each parameter set is obtained. An optimization variable set is constructed based on each parameter set, and the optimization variable set when waviness is most sensitive to changes in tool mounting eccentricity is determined. The tool mounting eccentricity during machining of the workpiece sample is calculated using the constructed relationship between the tool mounting error and the peak-to-peak value of waviness. If the tool mounting eccentricity exceeds the predetermined value, the bull nose end mill is reattached and the workpiece sample is replaced so that the workpiece can be actually machined, and this calculation of tool mounting eccentricity is repeated until the tool mounting eccentricity becomes smaller than the predetermined value.

The invention relates to the technical field of machining surface quality control, and discloses a continuous generating grinding tooth surface waviness monitoring system based on digital twinning. Comprising a data acquisition module which acquires vibration signals of a grinding wheel spindle and a workbench, three-dimensional model data of a numerical control gear grinding machine and numerical control system data in real time, and a simulation module comprises a motion and grinding rendering unit and a UI interface; the waviness online prediction and process parameter optimization module comprises a neural network prediction model, a process parameter optimization model and a process parameter feedback interface; according to the method, the digital twin model of the gear grinding machine is established, the tooth surface waviness condition can be monitored in real time, and when the ghost amplitude of the tooth surface waviness exceeds a threshold value, grinding process parameters can be optimized online, so that the gear surface quality is improved, and the production efficiency is improved.

The invention discloses an aircraft surface waviness measurement and analysis method and system, and the method comprises the steps: scanning the surface of an aircraft according to a planned path through employing a three-coordinate measuring machine and a scanning probe, obtaining scanning data, and obtaining the scanning data for evaluation through employing a segmented scanning and segment-to-segment direct splicing mode for a hole, a pin and other structural parts; fitting based on scanning data to obtain a point deviation data set, calculating corresponding point arc length data based on the point deviation data and the point coordinate data on this basis, and drawing a graph by taking a horizontal axis as the point arc length data and a longitudinal axis as the point deviation data; and determining the surface waviness of the airplane by combining the derivative at the intersection point of the point deviation data curve and the transverse axis and the distance between the wave crest and the wave trough, thereby realizing the efficient and accurate measurement of cavities, welding seams and other obstacle structures on the outer surface of a large-scale airplane part or the whole machine and the accurate calculation of the waviness.

The present application relates to the field of artificial intelligence engineering technology, and in particular to a method and system for correcting the accuracy of corrugation measurement based on artificial intelligence. The method includes obtaining the dynamic process parameters of the machine tool and the corrugation characteristic data of the workpiece when the machine tool processes the workpiece, and constructing a causal structure map; collecting environmental impact data and the surface corrugation data of the workpiece in real time, and judging whether the surface corrugation data exceeds a preset corrugation threshold. If so, abnormal corrugation data is obtained; the abnormal corrugation data is input into the causal structure map to obtain the influence path of the main process factors and the influence path of the secondary process factors; a corrugation correction value is generated to obtain a corrugation correction value. By constructing a causal structure map, the present application provides a solid foundation for subsequent correction. By comprehensively considering the environmental impact data, the correction result is more consistent with the corrugation conditions under the actual processing environment, thereby enhancing the practicality and adaptability of the correction method.

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.

Method for producing a workpiece (64) made of quartz glass, which has at least one melt-polished workpiece surface (113) for use in a plasma-assisted manufacturing process, comprising the process steps: a) Providing a workpiece (64) made of quartz glass which has at least one raw surface (111) produced by cutting or machining, and b) Polishing the raw surface (111) to the polished workpiece surface (113) by laser polishing using at least one laser beam (81) moving relative to the raw surface (111), wherein the relative movement is generated by superimposing a translational-oscillating movement and a feed movement, wherein, as a result of the translational-oscillating movement, a quasi-line (87) is generated by a relative velocity between the raw surface (111) and the laser beam (81) above 500 mm / s, and wherein the feed movement has a relative velocity between the raw surface (111) and the laser beam (81) between 1 mm / s and 50 mm / s, c) and wherein a polished workpiece surface (113) is produced which has a micro-roughness and waviness, wherein the white light interferometry at a spatial wavelength λ OMicroroughness measured in the range of 1 µm to 10 µm has a surface roughness Sa of less than 0.5 nm, characterized in that the measurement is taken by means of a white light interferometer at a spatial wavelength in the range λ O Surface roughness (waviness) measured from 100 µm to 1000 µm has a value Sa of more than 5 nm, where the quasi-line (87) has a radiation intensity within the quasi-line (87) on the workpiece (64) between 10 W / cm² 2 and 1000 W / cm² 2 is produced wherein, for laser polishing of an annular end face (80) of a hollow cylindrical workpiece (64), the feed movement comprises rotation of the end face (80) about the longitudinal axis (84), and the translational-oscillating movement comprises a reversing movement of the laser beam (81) between an inner workpiece surface (85) and an outer workpiece surface (86), and wherein the speed of the translational-oscillating movement is set higher in the region of the inner surface (85) than in the region of the outer surface (86).

The application discloses a method for controlling surface wave of a stamping cover outer plate reverse-drawing forming area, which comprises position control of effective line round of the reverse-drawing forming area of a process piece; after the first surface of the process piece is centered in a forming die, the first surface of the reverse-drawing forming area of the process piece is forcibly corrected in a bulging state, the forming die convex model surface is first reduced, then the forming die pressure material surface is correspondingly compensated; when the first surface of the reverse-drawing forming area of the process piece is in the bulging state, the forming die pressure material surface corresponding to the reverse-drawing forming area of the process piece is finally matched and researched at high speed for production verification. The application takes the accurate process piece position as a prerequisite, and correspondingly reduces the forming die convex model surface and correspondingly compensates the forming die pressure material surface, so that the forming die pressure material matching state can be controlled and high-speed production verification can be realized, thereby effectively and stably solving the surface wave problem of the stamping cover outer plate reverse-drawing forming area.

This invention provides a method for evaluating unvulcanized rubber that quantitatively assesses the occurrence of warping during extrusion molding of unvulcanized rubber components, thereby eliminating variations in evaluation by operators and enabling efficient evaluation. [Solution] An evaluation method for unvulcanized rubber comprising: an unvulcanized rubber composition preparation step of preparing an unvulcanized rubber composition corresponding to an unvulcanized rubber member; a test piece extrusion molding step of extruding the prepared unvulcanized rubber composition into a test piece of a predetermined shape using an extrusion molding device; an image acquisition step of acquiring an image of the obtained test piece from the thickness direction; an image processing step of processing the acquired image of the test piece and extracting the contour of the test piece from the image; a circumference estimation step of estimating the circumference of the test piece from the extracted contour of the test piece; and a waviness condition evaluation step of evaluating the waviness condition that occurred in the test piece from the estimated circumference of the test piece.

This invention discloses a method for controlling the edge waviness problem at the head of wide, thin steel plates, relating to the field of steel plate processing quality control technology. The specific steps include obtaining a preset value Fb for the bending roll force. 预 Determine Fb 预 Rolling length L acting on the head of the steel plate 头 Before the steel plate is bitten in during the finishing rolling stage, follow Fb 预 A bending force is applied to create a negative convexity in the transverse loaded roll gap of the rolls; rolling begins when the head of the steel plate bites in, continuing until the rolling length reaches L. 头 Then, restore the bending roll force to its initial value and continue subsequent steel plate rolling. Using the method of this invention, the problem of edge waviness at the head of wide, thin steel plates can be effectively controlled, enabling the straightness of the steel plate head to reach 1.2mm / 1000mm.

This invention discloses a ferritic stainless steel coil for bicycle rims and its manufacturing method. The method includes: hot-rolled coil annealing and pickling, with an annealing temperature of 900℃≤T1≤1000℃ and an annealing time of 1.0~1.5min / mm; cold rolling in the first pass, with a rolling deformation rate of 70%~88%; continuous annealing of the cold-rolled coil, with an H2 dew point of -40℃~-60℃, a residual oxygen content of <5ppm, an annealing temperature of 900℃≤T2≤980℃, and an annealing time of 1.0~1.2min / mm; cold rolling in the second pass, with a rolling deformation rate of 10.0%~13.0%, and a first pass rolling deformation rate of 5.0%~6.5%; leveling, with a leveling elongation rate ≥0.10%, and the edge waviness of the coil controlled to ≤0.020mm. The ferritic stainless steel coil for bicycle rims produced by this invention can achieve a good match between rigidity and springback. Its properties, thickness, shape and roughness can meet the manufacturing process requirements of bicycle rims as well as the performance requirements of corrosion resistance, high springback, high load-bearing capacity and long service life.

The invention discloses a double-layer worm grinding wheel for grinding a high-precision gear and a preparation method of the double-layer worm grinding wheel, the grinding wheel is composed of a coarse grinding layer and a fine grinding layer, and the coarse grinding layer is mainly used for rapidly removing allowance of the gear through a worm grinding wheel with the large particle size; according to the fine grinding layer, the tooth surface of the gear is polished through a worm grinding wheel with the small particle size, and therefore high-efficiency and high-precision grinding machining on the gear is achieved. The forming process of layered feeding and multi-step pressurizing is adopted, the double-layer worm grinding wheel which is controllable in density and hardness, clear in layer interface and free of layering and cracking is prepared, the double-layer worm grinding wheel is adopted for machining a high-precision gear, the machining efficiency can be improved by 20% under the condition that the service life of the grinding wheel is not shortened, and the surface waviness, ffalpha, of the gear is smaller than or equal to 0.7 micrometer.

The invention provides a method for predicting the surface waviness of a cold-rolled sheet for an automobile, and belongs to the technical field of surface quality detection of the cold-rolled sheet for the automobile. The method comprises the following steps: cutting a cold-rolled sheet for an automobile into a plurality of square samples with preset sizes by using linear cutting equipment, preparing speckles on the surface of one sample as a first sample, and taking the rest samples as samples without speckles; continuously loading the first sample through a plate forming tester, gradually drawing the first sample from a plane to form a cup shape, and ending the loading until the first sample has a failure characteristic; in the loading process, continuously collecting surface images of the first sample at a preset frequency through a digital image correlation measurement system, obtaining a strain-displacement fitting formula in combination with synchronous data, and determining target displacement corresponding to a preset dependent variable; and respectively stamping samples without prepared speckles to a target displacement, measuring the waviness of the cup-shaped sample, and fitting a strain-waviness mapping relation model to realize accurate prediction of the surface waviness of the cold-rolled sheet.

This application provides a data processing method for laser thickness measurement of strip steel. The method includes: acquiring initial laser thickness measurement data of strip steel; filtering and removing outliers and edge data of the strip steel to obtain preprocessed data; performing a first filtering on the preprocessed data to extract surface roughness data to obtain first-filtered data; performing a second filtering on the first-filtered data to extract waviness data to obtain second-filtered data; and calculating the second-filtered data according to at least one preset profile index to output data corresponding to at least one profile index. The technical solution provided by this application reduces the fluctuation of laser thickness measurement data to a certain extent.

Provided is an aluminum alloy plate for a magnetic disk, which is capable of reducing fine waviness after plating even if the content of Mn is low. Provided is an aluminum alloy plate for a magnetic disk, the aluminum alloy plate satisfying 3.0-6.5 mass% of Mg, 0.1 mass% or less of Mn, 0.01-0.35 mass% of Cr, 0.1 mass% or less of Fe, and 0.1 mass% or less of Si, and satisfying at least one of 0.01-0.5 mass% of Cu and 0.01-0.5 mass% of Zn, the remainder comprising impurities and Al, the average crystal grain diameter of the surface being 45 [mu] m or less, and the area ratio of the Brass orientation ({011} < 211 >) in the crystal orientation distribution of the surface being 11% or less.

This component extraction device comprises: a calculation unit that calculates a threshold value set for a filter on the basis of processing information indicating a condition for processing a processed surface by a tool; and an extraction unit that extracts at least one of a surface property component, a waviness component, and a shape component from processed surface data indicating the state of the processed surface using a filter to which the threshold value calculated by the calculation unit is set.