16 results about "Nonlinear deformation" patented technology

The application discloses a structure nonlinear deformation reconstruction method and system based on isogeometric and reduced basis, and the method comprises the following steps: measuring initial strain data of a ship plate structure surface, constructing a plurality of four-node inverse shell elements of the ship plate based on the initial strain data; assembling the plurality of four-node inverse shell elements to obtain a whole stiffness matrix; reconstructing the whole stiffness matrix based on the measured strain data of the ship plate to obtain a linear reconstruction result of the ship plate; correcting the linear reconstruction result based on the reduced basis, and fusing the correction increment to the linear reconstruction result for nonlinear iteration to complete nonlinear deformation reconstruction. On the basis of the principle of isogeometric analysis, the application combines the inverse finite element method to establish a four-node inverse shell element, realizes high-precision ship structure displacement reconstruction through a small number of strain measuring points, and helps designers to intuitively understand and deeply understand the mechanical properties of the structure and to monitor the safety of the structure in real time.

This invention discloses an adaptive adjustment device and method for tool holes in a high-precision circuit board alignment system. The device includes an upper camera group, a lower camera group, and multiple PIN adjustment units. The upper camera group acquires images of a target on film, while the lower camera group acquires images of the tool holes on the circuit board. The theoretical coordinates of the current part number are loaded, and the dual cameras are simultaneously triggered to acquire images and calculate the actual offset vector of each tool hole. When the offset exceeds a preset threshold, the theoretical position of the tool hole is used as the control point. A nonlinear deformation field is reconstructed using the radial basis function of a thin-plate spline, and the displacement compensation amount of each PIN adjustment unit is calculated based on the deformation field, driving each PIN unit to move to the target position. The flexible conical PIN head is coated with a PEEK coating and, in conjunction with a force sensor, achieves adaptive force-controlled insertion, automatically correcting the center offset. This method can accurately compensate for the nonlinear deformation and temperature drift of the circuit board, reduce tool hole wear, and improve changeover efficiency and alignment accuracy.

This invention discloses an inverse consistency printed image registration method based on adaptive perception. First, a printed image registration dataset is constructed, and the images are normalized. A deep learning network is then constructed for non-rigid registration of printed images. Next, the forward deformation field from the reference image to the image to be registered is predicted. This forward deformation field is input into a local adaptive perception module to obtain an optimized deformation field that highlights the true local nonlinear deformation. Finally, the registration network is optimized end-to-end based on a joint loss function, and the optimized deformation field is used to perform a spatial transformation on the printed image to be registered, outputting a registration result aligned with the reference printed image. This invention achieves accurate modeling of local nonlinear deformation in printed images, thereby improving the accuracy and stability of printed image registration and providing a reliable foundation for subsequent high-precision defect detection tasks.

This invention relates to the field of intelligent manufacturing technology, and in particular to a data-driven method and system for predicting and optimizing the shape of 1060 aluminum foil rolled for batteries. The method includes the following steps: S101: Real-time acquisition of multi-source rolling feature data and mill status data; S102: Data cleaning and temporal feature extraction; S103: Accurate shape prediction using a deep learning model; S104: Calculation of the residual matrix between the predicted shape and the target shape; S105: Determination of the process threshold for the residual matrix; S106: Construction of a multi-objective optimization function for shape flatness and energy efficiency; S107: Improved genetic algorithm for multi-parameter global optimization; S108: Feedforward compensation control and online adaptive model update. This invention can accurately capture nonlinear features that are difficult to quantify, such as the dynamic changes in roll thermal crown, nonlinear deformation of metal, and micron-level fluctuations in oil film thickness during the rolling process of ultra-thin aluminum foil. Simultaneously, by combining the fusion analysis of multi-source sensor data and mill status data, it achieves temporal and accurate prediction of the shape, thereby improving the accuracy of shape prediction.

This invention relates to the field of intelligent compensation technology, specifically to an online compensation method for wear of belt pulley machining tools that integrates AI visual detection. The method includes the following steps: acquiring tool wear images and cutting force data, inputting them into a convolutional neural network to analyze the wear degree; detecting node stress ratios to group and form a stress heterogeneous mapping; monitoring displacement and stress angles to identify and optimize the trajectory of inverted nodes; decoupling deformation vectors to calculate correlation coefficients and classify to obtain a set of deformation compensation parameters for belt pulley machining tools; and calculating compensation prediction weighted summaries to generate online compensation commands for belt pulley machining tools. In this invention, visual recognition and multi-dimensional stress analysis are integrated to achieve tool wear assessment; stress distribution mapping presents stress-displacement correlation; dynamic trajectory optimization balances force; deformation is adaptively adjusted; nonlinear deformation and overall trend are synchronously corrected; compensation parameters are self-generated; deformation trajectory and machining path are coordinated; errors are dynamically suppressed; dimensional offsets and surface fluctuations are mitigated; and machining stability and response time are improved.

The present application relates to the technical field of machine tool processing, and in particular to a workpiece dynamic positioning method and system for high-altitude working vehicle connecting rod processing, wherein the workpiece dynamic positioning method for high-altitude working vehicle connecting rod processing comprises: dividing the connecting rod workpiece of the high-altitude working vehicle into multiple independent local processing areas along the axial direction; obtaining the actual spatial coordinates of multiple measurement nodes in each local processing area; determining the flexural-torsional coupling response consistency coefficient of the local processing area; determining the envelope form index of the local processing area; determining the compensation factor; and dynamically adjusting the processing tool path in the local coordinate system of the local processing area. The above method divides the connecting rod into multiple local processing areas, determines the compensation factor based on the flexural-torsional coupling response consistency coefficient and the envelope form index, and dynamically adjusts the tool path in the local coordinate system, thereby achieving adaptive compensation for long-span local nonlinear deformation and reducing the processing rejection rate.

The application provides a high-precision hole plate alignment method for a multilayer circuit board, and belongs to the technical field of printed circuit board manufacturing. The method collects measured coordinates of each key layer pad array in the laminated multilayer board through an X-ray perspective system, takes each layer pad array as a distributed deformation sensor, and pairs with the design nominal coordinates to obtain a deviation vector; affine transformation separation and radial basis function nonlinear interpolation are respectively performed on each key layer to reconstruct an anisotropic deformation field covering the whole board area; the range of layers passed through is determined according to the drilling type, and weighted fusion is performed on the deformation field of each layer to calculate the optimal compensation vector of each drilling hole, and a compensated drilling program file is generated. The method upgrades the traditional target alignment and two-step global scaling method to a three-stage compensation process of distributed sampling, nonlinear deformation field reconstruction and hole-by-hole coordinate correction, and controls the hole plate offset to within 25 microns without changing the existing drilling equipment hardware.

This invention discloses a method for analyzing the geometric error of gearbox housings based on thermo-structural coupling deformation, belonging to the technical field of mechanical transmission systems. Addressing the problem of decreased geometric accuracy of automotive gearbox housings under complex operating conditions due to thermo-mechanical coupling, this invention establishes a thermo-mechanical coupling model of the bearing bores, reveals the nonlinear deformation law under the combined action of temperature field and mechanical load, constructs a geometric accuracy evaluation system with parallelism and center distance errors as the core, and combines finite element simulation to quantitatively analyze the housing deformation. This invention provides a feasible analytical method for structural optimization and precision control of gearbox housings, effectively improving gear meshing accuracy and transmission system reliability.

This invention relates to a tiltable liquid deformable mirror driven by a composite magnetic field. It uses an oil-based magnetic liquid and a transparent aqueous solution with matching density as the core optical interface materials. A silver nanofilm is directly prepared at the interface between the magnetic liquid and the aqueous solution using an oil-water interface self-assembly method to improve the reflectivity of the optical interface. High-precision deformation control of the liquid surface is achieved through a micro-coil array. A uniform magnetic field generated by a Helmholtz coil ensures a linear response between the deformation of the magnetic liquid and the driving magnetic induction intensity. Simultaneously, a gradient magnetic field generated by a Maxwell coil suppresses interface shift between the two liquids under tilting conditions. The container is constructed from photosensitive resin and quartz glass, and a material affinity design ensures stable interface maintenance between the two liquids. Compared with existing technologies, this invention solves the problems of interface instability and nonlinear deformation response when traditional magnetic fluid deformable mirrors are tilted, giving magnetic fluid deformable mirrors a wider range of applications.

The application provides a kind of control method and system for improving the punching precision of injection mold, relating to injection mold processing technical field.The method comprises: real-time acquisition of temperature, pressure, displacement multi-source data in the process of mold punching;Based on data calculation dynamic deformation compensation coefficient and punching stress balance factor, respectively representing material nonlinear deformation trend and blade stress distribution difference;According to the calculation result, dynamically adjust the punching speed, pressure gradient and mold temperature field parameters;Through closed-loop feedback mechanism, combined with workpiece size error iterative optimization control model, another mold wear compensation step is provided, and the stress balance factor is dynamically corrected based on the cumulative punching number and blade roughness.The system includes multi-source data acquisition, dynamic parameter calculation, adaptive control and closed-loop feedback module, to realize whole-process collaborative control.The application solves the problems of insufficient deformation compensation and stress imbalance control in traditional methods through multi-physical field data coupling analysis, intelligent parameter optimization and closed-loop feedback mechanism.

The present application relates to the technical field of compression test, and discloses a vibration water tightness test equipment and method for building waste recycled fine aggregate, which comprises a base and a hydraulic control system. Through the linkage structure of the inserted sleeve, the pressure arm and the limiting seat, the pressure rod is gradually moved to the rotation center of the rocker arm during the constant angular velocity deflection of the rocker arm, the length of the pressure arm is continuously shortened, the continuous decrease of the displacement and the moving speed is realized under the same rotation angle, the gradual pressure effect of the rapid settlement in the early stage and the slow pressure stabilization in the later stage is formed, and the pressure pressure can be simultaneously and adaptively increased according to the change rule of the continuously increased resistance and stiffness of the test piece during the compression process. The nonlinear deformation rule of the recycled fine aggregate test piece, that is, the large initial pore, the fast settlement, the small resistance in the early stage, and the particle embedding and compacting, the sudden increase of the hardness and the resistance in the later stage, is adapted, and the detection authenticity and accuracy of the core parameters such as the ultimate compressive strength, the steady creep and the settlement deformation are greatly improved.

This invention discloses a vision-guided flexible sheet installation method and device, belonging to the field of heavy equipment automated production technology. The vision-guided flexible sheet installation method performs segmented matching processing on the top layer sheet based on the original point cloud of the sheet stacking area, determines the first original pose of the top layer sheet in the camera coordinate system, and corrects the first original pose. This method can adapt to the nonlinear deformation of ultra-long flexible sheets, improves the success rate of grasping, and solves the problem that traditional rigid template matching cannot accurately fit the actual surface, resulting in insufficient Z-axis grasping accuracy and easy grasping failure.

The application discloses a kind of mining area nonlinear deformation monitoring method, equipment and medium.The method comprises: based on Boltzmann time function, function model of the change of mining area deformation variable with time is established;Deformation variable is S-type nonlinear deformation variable, including maximum settlement, maximum settlement velocity occurrence time and settlement rate coefficient;Establish nonlinear deformation observation model associated with characteristic parameters and unwrapping phase;Synthetic aperture radar image data of target mining area is obtained, and synthetic aperture radar image data is registered;Based on the synthetic aperture radar image data after registration, construct small baseline set interference network, process small baseline set interference network to generate unwrapping phase diagram;Unwrapping phase data in unwrapping phase diagram is substituted into deformation model, and S-type nonlinear deformation variable of target mining area is obtained by solving.The application improves the precision of mining area nonlinear deformation monitoring.

The utility model provides a kind of damping hinge cup assembly and buffer hinge, the buffer hinge includes damping hinge cup assembly, damping hinge cup assembly includes cup head, hinge arm, pusher and damping element, wherein, cup head is used to fixedly connected door body or plate body;Hinge arm is hingedly connected in cup head;Pusher is slidably arranged in cup head;Damping element is used to provide damping force when hinge arm rotates relative to cup head;When hinge arm rotates towards cup head, hinge arm pushes pusher to slide, and pusher extrudes damping element compression.The damping element of the application is built into cup head, effectively reduces the overall size of hinge, adapts to the design requirements of compact hinge;When hinge is closed, damping element generates progressive resistance within controllable compression stroke, and its nonlinear deformation characteristics can convert most of the collision kinetic energy into heat dissipation, reduce the collision force generated by hinge cup and hinge arm when closed, reduce the sound when closed, and thus improve the user's experience.

This invention discloses a linear displacement actuator based on a single-pass shape memory alloy, comprising a housing, within which a movable cam is disposed. An auxiliary spring and a shape memory alloy spring are respectively disposed on opposite sides of the movable cam. Electrode plate I and electrode plate II are respectively disposed at both ends of the shape memory alloy spring. An output rod is connected to the movable cam via rollers. This invention solves the problem of difficulty in achieving high-precision deformation control in existing actuators due to the nonlinear deformation characteristics of shape memory alloys.

The application discloses a DEM error estimation method based on segmentation processing. The method acquires multi-temporal SAR images of a target area and performs time-series interference processing to obtain an interference phase sequence; interference phase sequences are divided into multiple candidate interference subsets in combination with scene constraint information, and effective interference subsets are screened according to vertical baseline distribution, interference coherence and local fitting residual; a joint observation equation of a DEM error term and a local deformation term is established for each effective interference subset to obtain DEM error candidate values, and a DEM error consensus subset is determined based on candidate value consistency, candidate value reliability and nonlinear deformation interference degree; and the DEM error candidate values in the consensus subset are weighted and fused to obtain DEM error estimation values of target pixels. The method can reduce the influence of nonlinear deformation residual and abnormal windows on DEM error estimation.