Optimization of dynamic model of ring-spinning yarn balloon based on genetic-algorithm parameter identification

Abstract

The research to date on the dynamic balloon of ring spinning is insufficient to meet the developmental requirements of high-speed ring-spinning machines. Therefore, the present aim is to better understand the dynamic balloon ring and how the spinning tension changes in high-speed spinning. First, taking the Coriolis inertial force, the air resistance, and the yarn dynamics into account, a dynamic model of the spinning yarn balloon is established in this article. The boundary conditions of the balloon shape in the spinning process are derived, and a method for identifying the initial parameters of the balloon shape based on a genetic algorithm is proposed. This method is used to seek the uncertain parameters that meet the optimization objective, obtain the initial parameters that meet the process requirements, and then solve the dynamic model of the balloon shape numerically. Finally, the model is compared and modified with the theory of image processing, whereupon the model for high-speed spinning is obtained. This study provides a good theoretical basis for analyzing the balloon shape and tension in high-speed spinning, and it provides reliable theoretical support for controlling the yarn tension and reducing yarn breakage in the spinning process.