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Plastic optical parts light quality, good impact resistance, low cost, able to replicate the complex shape and other characteristics of development at home and abroad soon, along with the increasing development of science and technology, plastic optical components, whether in the military or in the civilian more and more widely, plastic parts precision requirements are also increasing. Injection molding plastic molding molding method, it has a high precision molded articles, the processable polymer types, and forming a high level of mechanization, can achieve rapid mass production. Especially thin-walled parts micro injection molding technology has become the research focus of the current injection direction at home and abroad. In this paper, with the micro-structure of thin-walled parts - Fresnel lens to the study of the injection molding process. The main contents are as follows: 1) Fresnel lens micro-structure, the use of ultra-precision turning technology, the production of the mold core inserts, design and production of the generic mold suitable for injection molding of thin-walled parts, the study of micro-injection molding technology provides an experimental platform; 2) combined with injection molding CAE simulation software works, theoretical modeling of the injection molding process, the use of generalized Hele-Shaw flow assumptions, the establishment of a non-Newtonian fluid temperature in thin-walled cavity non-compressible filling / packing process the mathematical model. Linear viscoelastic model calculated filling process stress of the thin-walled products, thereby establishing the Warpage the calculation model; 3) Moldflow injection molding simulation software Fresnel lens warpage of injection molding simulation orthogonal experiment, to reduce warpage deformation simulation study as quality objectives to optimize the process parameters and the use of the S / N method to analyze the simulation results to obtain a the warpage minimum combination of process parameters. Single factor experiment, mold temperature, melt temperature, injection speed, packing pressure, dwell time, cooling time Warpage, and fix the best combination of process parameters; 4) using support vector machine algorithm, the establishment of the Fresnel lens quality prediction model and artificial neural network algorithm to establish prediction model prediction accuracy comparison. The results show that support vector machine algorithm to establish the Fresnel lens quality prediction model can effectively predict the quality of the Fresnel lens, and the prediction accuracy and stability. And the molding is preferably a Fresnel lens and mandrel-type surface compare replication degree.
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