蓝光过滤多层功能薄膜的遗传算法设计

发布时间：2018-02-26 15:02

本文关键词： 遗传算法蓝光过滤多层膜平均反射率目标反射率增透与增反　出处：《表面技术》2017年08期 　论文类型：期刊论文

【摘要】：目的设计出一种在380~455 nm波段具有高反射率,但在500~760 nm波段具有低反射率的多层薄膜结构。方法采用遗传算法,采取截断选择策略,并引入小生境技术,选择灵活性较好的容差型评价函数,通过改变目标反射率,使功能薄膜在可见光波段具有增透与增反两种特性。采用八层不同折射率材料交替结构,计算得出满足光谱特性要求的全局膜系结构参数。结果当材料为硫化锌和氟化镁,厚度为324、142、68、46、51、51、56、145 nm时,380~455 nm波长处的平均反射率高达88.54%,500~760 nm波长处的平均反射率仅为2.00%。由几种常用光学薄膜材料的不同搭配,发现材料的折射率差与两波段的平均反射率差呈现相同趋势。当两种材料的折射率差为0.92时,两波段的平均反射率差为86.54%。结论采用的遗传算法可以简单有效地对多层薄膜结构进行优化,为获得较为理想的蓝光过滤功能薄膜,应尽可能选择折射率差大的两种材料。
[Abstract]:Aim to design a multilayer structure with high reflectivity at 380,455nm and low reflectivity at 500-760nm. The flexible tolerance evaluation function is chosen. By changing the reflectivity of the target, the functional thin film has two characteristics of antireflection and anti-reflection in the visible light band. The alternative structure of eight layers of different refractive index materials is used. The global structure parameters of the film system satisfying the requirements of spectral characteristics are calculated. Results when the materials are zinc sulphide and magnesium fluoride, The average reflectivity at the wavelength of 380,455nm is as high as 88.54454 / 500760nm when the thickness is 3244142nb 686C 51C 566C 145nm. The average reflectivity of several kinds of optical thin films is only 2.00nm, which is different from that of several kinds of optical thin films. It is found that the refractive index difference of the two materials shows the same trend as the average reflectivity difference of the two bands, and when the refractive index difference of the two materials is 0.92, The average reflectivity difference between the two bands is 86.54. Conclusion the structure of multilayer films can be optimized simply and effectively by using the genetic algorithm. In order to obtain ideal blue light filter functional thin films, two kinds of materials with great refractive index difference should be selected as far as possible.
【作者单位】：汕头大学物理系;汕头超声显示器有限公司;无锡舒玛天科新能源技术有限公司;
【基金】：广东省省级科技计划项目(2017A010103021)~~
【分类号】：TB383.2

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