LS-DYNA-Based Simulation And Parameter Optimization Of Double-Seaming For Can Seamer

At present,the metal can packaging industry is in a period of rapid development,and the seaming quality of metal cans has decisive significance for the quality of metal can products.The most typical seaming method of a can seaming machine is double seaming,which is a complex plastic deformation process influenced by many process parameters.The double seaming process directly affects the quality of canned products.Therefore,a detailed analysis of the process of double seaming and the impact of process parameters,as well as reasonable optimization of process parameters,is crucial for improving the quality of double seaming.First,the process of double sealing is analyzed and simulated by LS-DYNA,and the first seaming force is theoretically analyzed.The accuracy of numerical simulation is verified by comparing the first seaming force obtained by theory of computation with the first seaming force obtained by simulation.Secondly,the phenomenon of wrinkling on the inner side of the cover hook during the curling process is analyzed,and an indicator for quantifying the degree of wrinkling in subsequent simulations is proposed.Further finite element simulation is conducted on the double seaming process to explore the influence of can thickness,feed speed of the first seam roller,friction coefficient,can body rotation rate,and indentation depth on the curling quality,laying the foundation for the establishment of a multi-objective database in the future.Thirdly,a multi-objective optimization scheme is proposed to select a certain range of process parameters,provide data samples for the BP neural network through orthogonal experimental design,determine the structure of the BP neural network,establish a nonlinear functional relationship between process parameters and crimping quality,and test the fitting degree of the neural network.Finally,the well fitted neural network is saved as a function form,and genetic algorithm is used to optimize the process parameters to obtain the optimal combination of process parameters for seaming quality.Finally,simulation verification is conducted on the optimized process parameter combination.This dissertation provides a reliable theoretical reference for improving the seaming quality and optimizing the design of the seaming mechanism through the study of the double seaming process of the seaming machine and the optimization of process parameters.