Research On Precision Injection Molding Of Photoelastic Composite Material Based On Image Recognition Of Goggles

With the development of plastic technology and industry,the application fields of optical products have become more and more extensive.Traditional glass lenses can no longer meet people's needs for light weight,low cost,and high efficiency.At present,polymer lenses are gradually replacing glass lenses in many fields,playing an important role in aerospace,military technology,transportation and other fields.One of the main processing methods of polymer lenses is injection molding.However,due to the complex processing technology and high quality requirements of optical products,there are unavoidable problems such as long optical inspection cycles and high test costs,which hinder the further development of optical products.This paper takes goggles as the research object,based on the photoelastic polymer material,based on the law of stress optics,combined with mold flow simulation analysis and image recognition technology,established a set of residual stress identification schemes,and realized an efficient,non-destructive and quantitative analysis of injection optics.Full coverage testing of product performance.The main research work is as follows:(1)Using residual stress and warpage deformation as the analysis indicators,the optimal process parameters in the production process of the goggles are obtained through simulation optimization.The stress polarizer test shows that the optimized product and the product obtained from the original process parameters are pouring The stress streak at the mouth is obviously reduced,and the quality of the product is obviously improved,which provides an idea for the production of injection molded products and the improvement of product quality.(2)Due to the high cost and slow cycle of residual stress detection,there are obvious limitations for rapid product monitoring.This research combines the principle of stress optics and the principle of image recognition,and proposes a new method of identifying the stress state of photoelastic materials through images.Different analysis methods are adopted for different positions,and the overall expected value is applied to the inconspicuous area of the mirror stress fringe To evaluate the stress state of the product.For the obvious positions of the stress streaks in the stress concentration area near the gate,take the center line of the position to draw the gray value change curve,and evaluate the stress change of the product by the number of crests of the curve.The result obtained is orthogonally analyzed and compared with the simulation result.It proves the feasibility of this method and provides a new method for real-time monitoring of the production status of optical products.(3)In this study,the two positions near the gate and the mirror are selected to study separately,and it is found that the injection molding process parameters have different effects on the stress state and influence trend of different positions of the injection molded product.The process parameter that has the greatest influence on the residual stress in the mirror area is the melt temperature.The process parameter that has the greatest impact on the stress changes near the gate location is the pressure holding time.(4)Through mold flow simulation analysis and experimental research,it is found that the optical performance of mirror surface,residual stress,warpage deformation,quality and gray value of mirror surface are affected by mold temperature,melt temperature,injection speed holding time,and cooling time.consistency.It is proved that the changes in quality,stress,warpage,and optical performance are mutually restricted.(5)Combining the unity of the research object and the stress optical law to simplify the stress solution formula and through the combination of blind hole experiment method and stress image recognition,the correlation coefficient of the stress calculation formula is solved,and the accuracy of the coefficient is verified.