Simulation Analysis And Process Parameters Optimization Of Carton Capping Process

Paper material is the most widely used packaging material in the packaging industry,and its packaging molding technology is highly valued by the packaging industry.However,in the carton packaging molding process,there are many defects in the capping process,which lead to the serious impact on the quality of molding.At present,it mainly relies on the pipeline test method and relies on the empirical correction parameters to solve the rebound problem.Based on a white card liquor box gland process as the research object,This paper aims to restore the actual working conditions through computer simulation technology,analyze the significant factors affecting the molding quality,and explore the optimal combination of capping process parameters by using response surface optimization method,so as to solve the molding defects such as too large rebound,tongue insertion and so on,and meet the packaging requirements of enterprises.Firstly,based on nonlinear analysis and elastoplastic theory,a nonlinear dynamic model of carton capping process is established.Considering the crease damage effect,through the orthogonal experiment design to build crease area sample points,different material parameters on the crease of the width of the three kinds of folding process simulation,obtain satisfy carton gland characteristics of structure and material parameters of crease,and for the gland in the process of parts contact area for grid refinement,with characterization of elastic-plastic behavior.Secondly,according to the simulation results determine down,pressure plate width,linking piece length,friction coefficient,load time,dead time,discharge time and axis length of eight factors on the carton has a significant impact on forming process,based on single factor method to determine the shaft length and linking piece length,the other six factors in order to optimize the design variables and provide reference for its scope as constraint conditions.Furthermore,the two optimization objectives of resilience and total process time were determined according to the constraints of the determined design variables.The Latin square test design was adopted to obtain the test sample points,and the optimal combination of process parameters was obtained by combining kriging agent model and adaptive simulated annealing algorithm.The simulation results verify the accuracy of the optimization results.The results show that the simulation values of the optimization parameter combination match well with the predicted values,and the forming defects can be solved.Finally,to further verify the reliability of optimization results,a carton capping process test platform was constructed,and 20 sets of process tests were conducted with the optimal combination of process parameters.The results show that under the condition that the total duration of the process is basically unchanged,the resilience decreases by 66.7%,which is close to the simulation value,and the actual process molding quality is significantly improved.The combination of nonlinear dynamic model of carton capping process,response surface optimization method and experimental verification can accurately predict the molding quality and improve the molding defects,which is of guiding significance for carton packaging process.