2results about How to "Guaranteed Quality Standards" patented technology

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.

This invention relates to the field of defect detection technology, specifically to a detection device and method for lithium-ion battery soft-pack aluminum foil, comprising the following steps: acquiring detection parameters, collecting raw frame recording data to establish a matrix, calculating and filtering pixel difference matrices, calculating displacement optical path difference normalization generation coefficients, determining depth allocation identifier statistical distribution, and normalizing and generating confidence coefficients. In this invention, by controlling the combination of light source intensity and incident angle, pixel grayscale difference data is acquired, refining the microstructure analysis of the aluminum foil surface, identifying microcracks and pinhole defects, especially shallow defects, comprehensively analyzing grayscale differences and displacement differences, calculating micro-displacement and optical path differences, extracting defect depth information and refining classification, improving the ability to identify deep defects, and combining multi-dimensional data weighting to generate confidence coefficients, thereby improving detection accuracy and reliability, optimizing quality assessment, avoiding the omission of minor defects, and ensuring battery material quality standards.