Injection Molding Process Technology And Analysis Of Thick Wall Transparent Pc Parts

Using Taguchi DOE technology combined with CAE numerical simulation to study the effect of process parameters on the volume of injection molded products

The impact of shrinkage rate changes, orthogonal matrix sets up different process parameter levels and performs simulation experiments. Through signal-to-noise ratio analysis, the impact of each process parameter on product performance index is studied, and the pressure holding time and mold temperature are obtained for PP plastic parts The change of the volume shrinkage rate has a strong effect, and the melt temperature and filling time have a small effect. The CAE simulation experiment was designed by the orthogonal experiment method, and the warpage deformation data of the plastic part was obtained. The mean value analysis and variance

Analyze and determine the degree of influence of process parameters on the warpage and deformation of plastic parts, use particle swarm algorithm combined with the least squares method to fit the response surface model to optimize, obtain the best process parameters and response target values, and display the optimized production process simulation results The maximum warpage is reduced by 44.8%. The optimization of injection molding process combined with response surface method and genetic algorithm is studied. First, the CAE simulation experiment of injection molded parts is arranged by Taguchi experimental design,

Analyze the data of the quasi-experimental results and find that the holding pressure, holding time, and injection time have significant effects on warpage deformation, and then fit the response surface model of the objective function and design variables, and use the MATLAB genetic algorithm toolbox for global optimization , The warpage deformation of the final plastic part was significantly improved, which was reduced by 28.3%. Take a small-size polycarbonate thin-walled part as an example, use Moldflow to perform numerical simulation of injection compression molding, and verify the finite element through experiments

The validity of the model is established, and the influence of process parameters such as mold temperature and compression speed on the quality of plastic parts is studied. Then take the large-size polycarbonate plastic parts as the research object, carry out CAE analysis, optimize the cooling system and pouring system settings, use orthogonal experiment method and range analysis to analyze the melt temperature, mold temperature, injection speed, compression speed, etc. The process parameters are optimized to obtain the combination of process parameters that minimizes the warpage and deformation of the PC parts. Taking the flange as an example, the shrinkage of thick-walled injection molded products was studied. Moldflow software and orthogonal experimental design were used to analyze the injection molding process.

The parameters analyze the degree of influence of the shrinkage of thick-walled products, and then use artificial neural network and genetic algorithm to optimize the pressure-holding curve, so that the shrinkage uniformity of thick-walled plastic parts is increased by 45%. Use Moldflow to simulate and analyze the injection molding process of thick-walled transparent PC parts, aiming at defects such as depressions, shrinkage holes, and weld marks that are easy to appear in production injection molding.

Research and improve mold design and injection molding process, and obtain products that meet quality requirements through experimental verification. Using orthogonal experimental design, set different combination of melt temperature, mold temperature, holding pressure, injection time and other process parameter levels, combined with Moldflow software to simulate the injection molding process of a certain polycarbonate automotive glass, and obtain various process parameter combinations Corresponding plastic parts warpage deformation, shrinkage rate and residual stress values, through the analysis of the influence of process parameters on the quality of plastic parts, the best combination of process parameters is obtained, and the experimental results are compared with the simulation results to prove the values The correctness of the simulation and the feasibility of the analysis method. Take the thick-walled transparent optical product fingerprint recognition button as an example, take the maximum volume shrinkage rate of the plastic part to optimize the goal, use the orthogonal experiment method to carry out the molding CAE analysis on the injection molded part model, and combine the range analysis, mean analysis and variance analysis. And using data processing technology, the best combination of process parameters is obtained, and the volume shrinkage rate of plastic parts is reduced by about 4.2%, which improves the performance of plastic parts.

Surface quality. Take the transparent plastic parts of car light guide with unequal wall thickness as an example, using Moldflow to advance

Perform numerical simulation to predict the possible quality defects of the light guide after injection molding, and conduct experimental design for the residual stress, warpage deformation, weld line, cavitation and other problems of the plastic part, and analyze the experimental results, and conduct the melt temperature and injection time The optimization and simulation of process parameters such as pressure holding time, etc., finally obtained through experimental research to meet the optical requirements of the light guide product, indicating that the experimental design and optimization methods have high practical significance.