The Study Of Packing Box's Molding Process Optimization And Warping Deformation Based On The Numerical Analysis

Today,injection molding has become one of the most commonly used method in plastic processing.The quality of injection molding products are affected by the various.But overall molding process parameters of the problem still is the biggest problem affecting injection molding process.Warping deformation is the comprehensive measure of the injection molding process quality.Therefore,in order to improve the injection molding technology,the main task is under the premise that guarantee the quality of molding products,as far as possible to reduce the warp deformation.CAE technology,combining with computer using Moldflow software for injection molding process simulation analysis,at the same time the five factors and four levels orthogonal matrix of orthogonal experiment analysis,preliminary under the action of the level of multiple factors of molding process optimization.And on the basis of BP artificial neural network model is established,and further realize the process of injection molding products and warping deformation is forecasted.At first,this paper simply summarized the basic principle of injection molding and the development of the status quo,this paper introduces the products in the process of injection molding defects and the reasons.Identified in the melt temperature,mold temperature(A)(B),filling time(C)(D),the holding time,cooling time(E)as A variable factor,warping deformation of molding products as indicators of injection molding technology and research of the warping deformation.Second,the use of Pro/E 3 d software to simulate the entity model and imported into Moldflow in finite element analysis,melt filling(Flow),cooling(Cold),Warp(Warp)simulation,verify the rationality of design scheme.To melt temperature,mold temperature,filling time and the holding time and cooling time as test factors,the warp distortion of injection molding products as test index,using the orthogonal experiment method,the process parameters of the selected test,the analysis of simulation results,the optimum parameters of the current combination of A2B3C1D1E2,namely,the melt temperature is 230 ?,mold temperature was 60 ?,the fill time was 0.8 S,the holding time is 4 S,cooling time is 20 S;And five factors influence on buckling deformation of box size of cooling time > the holding time >melt temperature > mold temperature > fill time,the cooling time and holding time on the influence degree of the warping deformation is bigger.Again by the orthogonal experiment the result of the BP neural network model is established as the training sample,and verify the accuracy of BP neural network prediction,through detailed analysis of the two factors of warping deformation extent is larger the holding time and cooling time,set the other three factors as best level to build orthogonal experiment table,by BP neural network to predict the results of the warping deformation,and according to the average analysis it is concluded that the packaging products warping deformation after detailed analysis the factors of the hours most combination for the holding time for 4 s,cooling time is 13 s,melt temperature is 230 ?,mold temperature 60 ?,filling time is 0.8 s,with the aid of moldflow simulation,get the buckling deformation of the box at this time getting minimum value is 0.5609 mm,than moldflow itself in the third chapter recommends process parameters combination simulation to get the buckling deformation(0.5933 mm)decreased by 5.46%,to prove the reliability of the forecast.Finally,using the BP neural network prediction of optimum technological parameters combination for packaging products molding experiments,and warping deformation measurement,the products come to the warping deformation is 0.5708 mm,illustrates the prediction function of BP neural network is feasible and also verified the accuracy of the computer CAE simulation technology have very strong.,therefore,the computer CAE simulation and orthogonal test and BP neural network to combine cycle can greatly reduce the injection process,improve the quality of injection molding products and the efficiency of the injection molding process,provide strong theoretical guidance for practical production,has a strong practical significance.