Desarrollo de un sistema de corte selectivo para su utilización en la producción de perfiles de hidrocoloide polimerizado

Abstract

The selective cutting system for the production of polymerized hydrocolloid profiles addresses the problem of defects in the strips resulting from the thermodynamic forming process. This system integrates a machine vision module that captures and processes real-time images of the profiles. Using image analysis algorithms based on RGB codes, the system identifies and delimits the defective areas, detecting chromatic variations indicative of imperfections. Once the defective areas have been identified, the system activates a cutting mechanism driven by a linear actuator. Synchronization between the visual detection and the cutting process is achieved through a real-time monitoring system, minimizing response times and ensuring proper functioning of the cutting operation. The implementation of this system results in a significant improvement in cutting accuracy, minimizing material waste and obtaining superior quality hydrocolloid profiles. Integration tests show a remarkable increase in hydrocolloid utilization and a substantial reduction in waste generation, contributing to the overall efficiency of the production process and to the sustainability of the operation. This system combines machine vision and automation techniques to effectively solve the challenges inherent in the thermodynamic forming process.