Research On The Key Components Of The New Automatic Winding Machine

Automatic winder is the bridge of spinning and weaving in textile industry, and its role is that the spinning yarn is derived from the tube, became a larger volume of the bobbin, and eliminated yarn fluff, dust, weak yarn, slub and other defects. As a result,the advantages and disadvantages of the winding process directly effect the textile efficiency and the quality of the finished product. Therefore, the key components of the new automatic winding machine were analyzed as the research object of the paper.The deep research was carried out on the winding machine’s anti folding mechanism and tension control system.The main contents are as follows:First, after the mechanization of overlapping and the existing methods of preventing stack was introduced, Pro/E software was used to model and assemble the swing arm type anti stack mechanism. Further kinematic was analyzed by using matrix analytic method. The motion of each component in the mechanism was simulated by using MATLAB software and got its kinematics curves. The kinematic characteristics of the key position point A was analyzed by means of mechanism simulation function of Pro/E software. The result was used for the optimization of the mechanism size in the later stage and understanding the motion characteristics of cylindrical ingot.Second, the swing amplitude of the end of the cylinder in the anti stack mechanism was optimized in a parametric way by using the Explorer Design module in ANSYS workbench, and finally the optimal design scheme was selected according to the objective function and the optimal design goal was achieved. The modal analysis was carried out on the anti stack mechanism by using ANSYS workbench finite element software. And the vibration of the anti stack mechanism was known. Third, the theoretical analysis of the winding tension was completed and tension control system of automatic winding machine with international advanced level was integrated. And a double closed-loop tension control scheme was proposed to control unwinding tension and additional tension. The linear interpolation fuzzy control method was used in the tension closed-loop control system. Simulink simulation tool in MATLAB software was used to verify the performance of the system. From the simulation results, we can see that compared with the classical fuzzy control, the yarn tension control system with the linear interpolation fuzzy control can keep the yarn tension more constant, which significantly improves the performance of the control system. Finally, the yarn tensionsystem was controled with the way of combination of fuzzy control and neural network.The Bp error back propagation algorithm was used to train the network in order to meet the requirements of the network. And the simulation of tension control system based on fuzzy neural network control was realized by MATLAB software. From the simulation results, we can see that the control effect of fuzzy neural network is better than that of linear interpolation fuzzy control.