12 results about "Waviness" patented technology

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 relates to the field of new materials technology, specifically to a low-optical-distortion, spotless, large-curvature tempered glass and its forming method. The glass substrate includes a glass matrix with a preset curvature and a large projected area. The surface physical tempering stress value of the glass substrate is 90MPa~150MPa, and the stress difference between different areas of its surface is controlled within 5MPa. Under anisotropic observation conditions, the glass substrate has no visible stress marks on its surface, and its transmitted optical distortion intensity is no greater than 0.05 diopter, with reflection waviness controlled within a preset extremely low threshold. By precisely controlling the surface physical tempering stress value between 90MPa and 150MPa, and creatively controlling the stress difference between different areas of its surface within 5MPa, the stress gradient approaches zero. This extreme stress uniformity fundamentally eliminates the optical birefringence phenomenon caused by local stress abrupt changes, resulting in completely no visible stress marks on the glass under anisotropic observation conditions.

This invention relates to the fields of machine learning and tooth surface waviness prediction. It discloses a method, apparatus, and device for predicting the waviness of tooth surfaces ground by worm gear grinding. The method includes: acquiring vibration signals from the grinding wheel spindle in three directions during worm gear grinding of helical gears and annotating them with semantic information to obtain an annotated dataset; constructing a tooth surface waviness prediction model based on the Goose optimization algorithm and optimizing an Extreme Learning Machine (ELM); inputting the vibration signals from the annotated dataset into the tooth surface waviness prediction model, and iteratively optimizing the input weights and biases of the ELM using a parameter optimization module to obtain a trained tooth surface waviness prediction model; and real-time acquiring the vibration signals of the workpiece being processed, extracting features from the real-time vibration signals using a feature extraction module, and then inputting the extracted features into the trained tooth surface waviness prediction model to obtain the ghost-order amplitude of the tooth surface waviness. This invention can improve the accuracy and efficiency of waviness prediction for worm gear grinding.

The present application relates to the technical field of rolling bearing, in particular to a rolling bearing slip state analysis method considering raceway waviness, comprising the following steps: S1: establishing a waviness model of a wavy surface with time-varying curvature radius; S2: calculating time-varying displacement excitation based on contact geometry kinematics theory; S3: calculating time-varying stiffness based on Hertz contact theory and nonlinear characteristics of contact stiffness; S4: calculating displacement relationship and acting force of each bearing component; S5: calculating bearing nonlinear dynamics differential equation; S6: analyzing the influence of wavy amplitude and wavy order on slip through a bearing slip effect calculation method of time-varying displacement and time-varying stiffness coupling based on kinematics relationship, contact mechanics characteristics and multi-body dynamics; the present application provides a wavy bearing slip dynamics model based on time-varying displacement and time-varying stiffness coupling.

The present application belongs to the technical field of steel metallurgy rolling, and particularly relates to a rolling control method for improving length direction washboard waviness of medium-thick steel plate. The method comprises the following steps: step S1: judging whether to enable the function based on the target thickness of the steel plate obtained based on the last loaded pass, and enabling the washboard waviness improvement function if the target thickness is not greater than a set threshold; step S2: after the head of the steel plate is bitten by the rolling mill, the rolling mill is in the sledge control state within the sledge action length, and no intervention is made to the rolling mill; step S3: after the head of the steel plate passes through the sledge control area, the normal torque balance control function between the upper and lower motors of the rolling mill is closed, and the speed adjustment program is started; and step S4: the torque deviation of the upper and lower motors is monitored in real time, and when the deviation exceeds a preset safety threshold, the speed adjustment program is stopped and the torque balance control is restored. The method significantly improves the length direction flatness of the final product, and improves the yield and production efficiency.

The invention relates to a method for manufacturing a bonded wafer structure. The method comprises providing a top and a handle wafer structures, each comprising a hydrophilic bonding surface, obtaining waviness information of at least one of the bonding surfaces, adjusting at least one bonding process parameter to a predetermined value based on the waviness information, where adjusting of said bonding process parameter modifies the moisture bound to the at least one of the bonding surfaces, and bonding the top and handle wafer structures at the predetermined value of the bonding process parameter. The adjusting step may comprise adjusting the pressure in the bonding chamber to an intermediate pressure being in low vacuum range, and / or adjusting temperature of the top and / or handle wafer to an intermediate temperature higher than room temperature. The invention further relates to the bonded wafer structure obtained by said method.

The application relates to the technical field of gear machining, and discloses a method for characterizing the corrugation of a ground tooth surface. The method calculates the normal distance between discrete points on a theoretical tooth surface and a grinding wheel profile at each meshing point position, and continuously updates and retains the minimum normal distance between each discrete point and the grinding wheel profile; the discrete points are mapped into a three-dimensional coordinate system with the meshing line as the horizontal coordinate, the tooth width position as the vertical coordinate and the normal distance as the height coordinate, and are fitted into a three-dimensional curved surface; two-dimensional Fourier transformation is carried out on the fitted curved surface to obtain a corrugation curved surface which can be characterized by two-dimensional trigonometric functions. The method solves the actual tooth surface through the meshing principle, obtains the tooth surface corrugation topography by solving the normal distance between the actual tooth surface and the theoretical tooth surface, and obtains the characterization function of the tooth surface corrugation by using two-dimensional Fourier transformation on the tooth surface. The corrugation characterized by the method is consistent with the tooth surface corrugation generated in actual machining, and the method meets the detection requirement of the tooth surface corrugation in gear machining.

This invention relates to a high-precision aluminum strip profile control method, comprising an inlet tension roller group, a main stretching roller group, and an outlet tension roller group arranged sequentially along the strip's conveying direction. The inlet tension roller group includes first and second tension rollers, the main stretching roller group includes third, fourth, fifth, and sixth straightening rollers, and the outlet tension roller group includes seventh, eighth, ninth, and tenth tension rollers. In the main stretching zone, by precisely controlling the speed ratio of adjacent straightening rollers, the strip undergoes precise and controllable plastic elongation in multiple continuous regions under tension exceeding its yield strength, thereby eliminating internal stress and waviness. Simultaneously, by adjusting the internal pressure of the expandable rollers, the roller surface convexity is actively controlled, achieving dynamic fine-tuning of the strip's transverse tension distribution, thus obtaining aluminum sheets with extremely high flatness, low residual stress, and excellent surface quality. This invention solves the problem of traditional straightening methods struggling to balance high flatness and material properties, and is particularly suitable for the production of ultra-thin, high-precision aluminum sheets.

The application provides a method for predicting the surface waviness of a cold-rolled sheet for automobiles, and belongs to the technical field of surface quality detection of the cold-rolled sheet for automobiles. A wire cutting device is used to cut the cold-rolled sheet for automobiles into a plurality of square samples with preset sizes, and speckles are prepared on the surface of one sample as a first sample, and the rest of the samples are samples without prepared speckles; a plate forming testing machine is used to continuously load the first sample, the first sample is gradually deep-drawn from a plane to a cup shape, and the loading is ended until the first sample appears failure characteristics; in the loading process, a digital image correlation measurement system is used to continuously collect the surface images of the first sample at a preset frequency, a strain-displacement fitting formula is obtained by combining the synchronous data, and a target displacement corresponding to a preset strain is determined; the samples without prepared speckles are respectively punched to the target displacement, the waviness of the cup-shaped samples is measured, and a strain-waviness mapping relationship model is fitted, so that the accurate prediction of the surface waviness of the cold-rolled sheet is realized.