基于统计与遗传算法的Cook-Torrance模型研究

摘要

为解决 Cook-Torrance 模型在实际应用中存在偏差的问题,以航空铝板为研究对象,对比分析模型仿真数据和双向反射分布函数实验数据,通过对Cook-Torrance模型的镜面反射和漫反射两部分进行修正,提出一种 Cook-Torrance模型的改进方法.对于模型镜面反射部分,采用遗传算法拟合了修正参数;对于模型漫反射部分,采用统计方法解算出其漫反射参数.仿真与实验结果对比表明:改进模型能够更加准确地描述不同波长铝合金和黄铜等金属材料的双向反射分布特性.%To solve out the issue of the deviation of Cook-Torrance model in actual application, by taking aviation aluminum plate as the research object,the paper makes contrastive analysis on sim-ulation data and experimental data of bidirectional reflectance distribution function,and brings out a way to improve Cook-Torrance model through correction of specular reflection and diffuse reflection of Cook-Torrance model.As to the specular reflection of the model,the paper fits correction parameters based on the genetic algorithm;as to diffuse reflection of the model,the paper solves out the diffuse parameters with statistical method.Simulation and experimental result shows,the improved model can describe the bidirectional reflectance distribution characteristics of metal materials such as alumi-num and brass with different wavelengths more accurately.