The goal of this project is to develop an upgraded measurement system for capacitor winding machines used in high-performance capacitor manufacturing. Existing manufacturing processes usually require operators to manually inspect and adjust critical product parameters to maintain quality and process consistency. In the specific case of this high-performance capacitor manufacturing process, operators use a magnifying glass to measure the edge alignment between two continuously wound capacitor films, ensuring that the required film extension offset is maintained at 0.5 mm within a tolerance of ±0.2 mm during the winding process. This manual process is labor-intensive, requires extensive operator training, reduces manufacturing flexibility, and limits overall productivity. The objective of this project is to develop a system capable of measuring capacitor film extension with accuracy equal to or exceeding human vision inspection while providing real-time operator feedback, warning indicators, and optional automated motor-speed correction. Several sensing approaches were evaluated for the film extension measurement, including capacitive sensing, laser profiling, and machine vision. The proposed system integrates a Keyence VS-C500X vision sensor, because capacitive sensing and laser profiling were sensitive to material variation, noise, and increased signal processing requirements. The proposed system also includes a real-time control module and a human-machine interface (HMI) that facilitates real-time processing, system coordination, and operator interaction. Experimental results show that the system consistently achieved the required ±0.2 mm tolerance while enhancing usability and reducing operator workload.
Developing a Vision-Based Measurement System for Capacitor Winding Machines
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