12results about "Material dimension control" patented technology

Control system for cold rolling mills to improve sheet metal thickness uniformity. Sensors monitor the state of the cold rolling mill by measuring (i) roll eccentricity, (ii) roll slips during mill operation, (iii) mill disturbances from roll speed or roll force manifestations, and (iv) unknown disturbances referred to as process noise. The controller analyzes data from sensors to compensate. Data collected during the mill operation by the sensors are delayed in reaching the controller. This communication delay is accounted for by using a filter. Since an objective of the controller software is dynamic identification of eccentricity of the back up rolls, which is non-linear by nature, an Extended Kalman Filter may be used.

The present application relates to the field of circuit board production automation equipment and intelligent control, specifically to an SMT material frame self-adaptive width adjusting system suitable for multi-size circuit boards, comprising a left width adjusting mechanism, a right width adjusting mechanism, left and right drive motors, a width detection module, a storage module, a data acquisition module, a state quantization module, a prediction decision module and a self-adaptive execution module; by collecting left and right motor operating current and torque feedback, calculating operating characteristic difference data and asynchronous fatigue entropy data, and combining circuit board size information and current material frame width to determine the target width adjusting direction; when the asynchronous fatigue entropy is lower than the danger threshold, normal width adjusting action is executed, and when the asynchronous fatigue entropy is higher than or equal to the danger threshold, anti-stuck degradation action is executed, so as to realize the collaborative control of throughput target and mechanical survival state.

This invention discloses a method for adjusting a coating device for coating processing, comprising: starting the transmission equipment under no-load operation, checking the synchronization of each roller, adjusting the adsorption force through a negative pressure device until the sample substrate does not slip, and confirming that the signal feedback of each sensor is normal; inputting the substrate type, target coating thickness, and process parameters of each device for the sample to be processed; continuously outputting the coating material after uniform mixing for use in the sample coating process, and adsorbing and fixing the sample substrate to be coated; uniformly coating the sample substrate with the coating material, scanning the coating thickness in real time during the coating process, and intelligently optimizing the process parameters of each device based on the feedback data; compacting and drying the samples that meet the coating quality requirements. This invention also discloses a coating device for coating processing. This invention solves the problems of uneven thickness caused by different substrates and coating materials being combined, and the dynamic adjustment of thickness changes during continuous coating processing.

The application relates to a barrel foundation structure anticorrosion coating thickness control method, device and medium considering multi-factor coupling, wherein the method comprises the following steps: S1, a coating dry film thickness prediction model is constructed based on simulation data sets and historical data sets; S2, real-time environmental wind speed and spraying distance are acquired, and reference spraying pressure and reference nozzle walking speed are obtained based on a preconfigured response surface database query; S3, based on the coating dry film thickness prediction model, spraying pressure correction amount sequences and nozzle walking speed correction amount sequences are obtained by minimizing film thickness control deviation in a future period of time and fluctuation targets of the spraying pressure and the nozzle walking speed; and S4, the spraying pressure correction amount sequences and the nozzle walking speed correction amount sequences are respectively superimposed on corresponding reference spraying pressure and reference nozzle walking speed to obtain target spraying pressure and target nozzle walking speed. Compared with the prior art, the application improves film thickness prediction accuracy under variable working conditions and realizes accurate closed-loop control of coating thickness.

This invention relates to the field of process control technology and discloses a method for controlling the deformation of alloy forgings based on digital twins. The method involves establishing a ring object and a discrete time sequence, setting circumferential arc length parameters on the neutral circumferential line, constructing an initial radius field, wall thickness field, and temperature field to form a continuous domain digital twin, and providing the target mid-diameter radius and target wall thickness. The circumferential arc length interval is discretized into circumferential units, forming a discrete state table and a unique mapping from discretization to continuous operation. A wavefront deviation sequence is generated from the radius and wall thickness deviations, and the leading lag and gradient are extracted by combining temperature deviations. A feed correction sequence is constructed and circumferential averaging and zero-sum constraints are applied, combined with second-order difference and feasibility scaling for iterative advancement. The state table and correction sequence set are determined and output using the total decision quantity and the maximum deviation threshold, achieving data alignment and robust iteration, reducing drift and over-distortion, and enabling traceable and reusable processes.

The application relates to a cooling crystallization particle size intelligent control method, and relates to the technical field of crystallization particle size control.The method comprises the following steps: collecting the supersaturation of a solution in a target crystallization kettle and a crystal image sequence in real time, extracting current particle size distribution characteristics, and obtaining raw material impurity monitoring values and stirrer power fluctuation coefficients; a multi-section adaptive cooling curve is constructed; the target crystallization kettle is controlled to be cooled, and the collecting, constructing and controlling steps are iteratively executed until the crystallization process is completed, so that initial crystal slurry is obtained; the particle size distribution of the initial crystal slurry is measured, solid-liquid separation and drying treatment are performed, and finally, the crystal product is obtained.The application solves the problems that the traditional crystallization control relies on experience or a fixed mode, lacks dynamic adaptation capability, is difficult to cope with various disturbances, and leads to uneven product particle size and poor quality stability.

This invention discloses a fabric thickness control system and its control method for a molding press, belonging to the field of composite material molding technology. The system includes a material cart and hopper, a drive unit, a flow regulating valve, a displacement sensor, and a central controller. The central controller pre-stores fabric control parameters corresponding to the contour of the mold cavity of the product to be molded. The flow regulating valve continuously and steplessly adjusts the power output of the drive unit, and combined with real-time feedback from the displacement sensor, forms a fully closed-loop position servo control system. This system drives the material cart and hopper to adjust their running speed and stopping position according to changes in the mold cavity contour, achieving differentiated fabric distribution matching the cavity. This invention can accurately adapt to the filling requirements of complex mold cavities, fundamentally solving the defects of traditional fabric distribution systems such as insufficient material, flash, and uneven fabric distribution, significantly improving the molding accuracy and yield of molded products, and adapting to the high-end composite material molding process requirements of various molding presses.

This application provides a glass substrate thickness control mechanism, a glass substrate production apparatus, and a production method. The glass substrate thickness control mechanism includes: a glass thickness monitoring component; a control component electrically connected to the glass thickness monitoring component; a heating component electrically connected to the control component; and a heating drive component electrically connected to the control component to drive the heating component to move. The technical solution of this application effectively solves the problem of time-consuming and labor-intensive methods in existing glass substrate production for addressing abnormal glass substrate thickness.

The application provides a lithium battery diaphragm process parameter self-correction method and system based on big data analysis. The lithium battery diaphragm process parameter self-correction method based on big data analysis comprises the following steps: in the preparation process of the lithium battery diaphragm, the thickness values measured at multiple continuous time nodes after stretching of raw materials are obtained; a thickness data set corresponding to each time node is constructed, wherein the thickness data set comprises thickness data for representing the thickness conditions of each region of the raw material, and the thickness data is generated according to the thickness values; each group of thickness data sets is compared with other thickness data sets of adjacent time nodes, and a target thickness data set is determined in the thickness data set according to the data difference; and the process parameters of the lithium battery diaphragm are corrected according to the target thickness data set. The application has the beneficial effect that the process parameter correction in the lithium battery diaphragm manufacturing process is more accurate.

A method for transferring a powder sample and related products are provided. The method includes the following. A powder-scooping-and-transferring apparatus is controlled to perform a powder-scooping operation at a source container. A first weight m1 recorded by a weighing apparatus is acquired in a case where a container base is in contact with the weighing apparatus, after the powder-scooping operation is completed. The powder-scooping-and-transferring apparatus is controlled to perform a powder-dropping operation at a target container. A third weight m3 recorded by the weighing apparatus is acquired in a case where the container base is in contact with the weighing apparatus, after the powder-dropping operation is completed. A transferred-powder amount ma is acquired according to the third weight m3 and the first weight m1, where ma=m3−m1.

The application discloses a fluidized particle size control system and belongs to the technical field of fluidized solid particle medium heat storage control. The system comprises a feeding unit, a heating chamber and a plurality of vibrating screens and a control unit connected in parallel between the feeding unit and the heating chamber. The feeding unit is used for fluidizing raw materials and conveying the fluidized raw materials. The plurality of vibrating screens and the control unit are used for vibrating and screening the fluidized raw materials conveyed by the feeding unit, fluidizing qualified materials of different particle size standards screened out, and controlling the fluidized qualified materials of different particle size standards to enter the heating chamber at a set proportion. The application can realize parallel sorting and accurate proportioning of multiple particle sizes, control the conveying amount of solid particles, improve the energy storage efficiency, and reduce equipment wear and tear.

This invention provides a multivariable adaptive synchronous blowing control system and method for blow molding machines, belonging to the field of intelligent control technology for plastic machinery. The system includes a multivariable sensing unit, an adaptive synchronous control unit, and a multi-channel synchronous blowing execution unit. The method acquires multivariable operating condition information such as the preform temperature field, material rheological properties, and mold state in real time, and utilizes an adaptive control model employing a hybrid architecture combining feedforward compensation and feedback correction to dynamically generate pressure timing commands that drive each blowing head to operate independently and synchronously. This method can actively compensate for differences in operating conditions between multiple stations, ensuring that all blowing heads work precisely and synchronously according to a unified benchmark. Its technical advantages include significantly improving the quality consistency of multi-station blow-molded products, reducing the wall thickness dispersion of products in the same batch, enhancing the system's adaptability and robustness to process fluctuations, and facilitating integration and modification on existing equipment.