Dynamic Optimization Of Roll-die Forming Machine Equipment System

The flexible roll-die forming production line is an advanced progressive forming equipment.Variable cross-section components have attracted the attention of the industry due to their good comprehensive performance of product structure load.Therefore,the research on the dynamic performance of the flexible roll-die forming machine equipment is also worthy of attention.This subject is based on the research of dynamic optimization about the forming process of this multi-pass flexible roll-die forming equipment system,in order to obtain the optimal design parameters of the flexible roll-die forming equipment system performance,improve the dynamic performance of the flexible roll-die forming equipment and improve the precision of component manufacturing.This paper starts with the analysis of the structure and movement mechanism of the multi-pass flexible roll-die forming machine,and combines with the established dynamic mathematical model of the flexible roll-die forming equipment system to carry out the research on the numerical solution of the dynamic parameters of the equipment system.To solve the differential equations of highly coupled and multi-parameter complex electromechanical systems,this paper analyzed the numerical algorithm for solving the equations and selected the fourth-order Runge-kutta method solve the solution by computer numerical software MATLAB.At the same time,the forming process of QP980 sheet is used as the experimental object to carry out the forming experiment.Finally,the numerical solution results are compared with the experimental results,and the results confirm the correctness of the calculated results.In order to obtain the optimization parameters of the dynamic characteristics of the forming process of the flexible roll-die forming equipment system,this paper choose the swarm intelligence optimization algorithm to optimize the parameters of this electromechanical system of the equipment.And in order to improve efficiency,this paper proposes two improvement strategies for the standard quantum particle swarm optimization algorithm.One is the syrayegy of asynchronous optimization based on changing the particle potential well equation and the other one is the strategy of dynamically changing the shrinkage and expansion coefficient of particles based on the distance weight coefficient.After the improvement,the performance of the algorithm was tested through three typical test functions,which verified the effectiveness of the improvement of the algorithm.This paper proposes to take the absolute minimum of the maximum value of the dynamic response acceleration of the X-direction motion as the objective function for dynamically optimize the movement process of the flexible roll-die forming machine.And chose the improved quantum particle swarm optimization algorithm to dynamically optimize the solution to this goal,obtained the best results of the performance parameters of the five-pass roll-die forming equipment system.The max acceleration of the optimized X frame movement process is reduced by 23% and the stability of the roll-die forming equipment system has significantly improved.At the same time,It also proves that the dynamic optimization method of the roll-die forming equipment system in this paper is feasible,it can provide a theoretical basis for equipment research and development,and the results obtained have engineering application value.