Inversion of optical constants of natural silk fibers based on FDTD-PSO and scattering experiments

IF 2.3 3区 物理与天体物理 Q2 OPTICS
Zhengwei Tao, Jun Qiu
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引用次数: 0

Abstract

The optical constants of fiber materials are of great value in the study of the mechanism and application of radiation regulation, but the conventional methods for obtaining the optical constants of fiber materials suffer from a series of problems such as compositional differences, chemical residues, and microstructural damages, which make it difficult to obtain the optical constants of the fiber materials and make the final results of the measurements doubtful. In this work, a new intelligent inversion method is developed, based on the first-principles calculations of electromagnetic scattering using Finite Difference Time Domain method and particle swarm optimization algorithm (FDTD-PSO), to obtain the optical constants of fibers through the measurement of the scattered radiation properties of fiber materials and the characterization of their surface microstructures. The feasibility and accuracy of the method are demonstrated by theoretical numerical calculation simulations of different kinds of fibers, and the scale effect and error are analyzed from three aspects, namely, scale parameters, roughness and incident light angle direction. The results show that the dimensions, roughness and incident wavelength of the fiber material are in the sub-wavelength scale interval, which requires high model accuracy and gives the appropriate inversion range interval. Finally, the method is experimentally validated by using the natural silk fibers. This work constructs a complete set of theoretical models and experimental methods to accurately obtain the optical constants of actual fiber materials, which provides a new direction for obtaining the optical constants of fiber materials and a numerical basis for the study of the radiation modulation mechanism of fiber materials.
基于 FDTD-PSO 和散射实验的天然丝纤维光学常数反演
纤维材料的光学常数在辐射调控机理和应用研究中具有重要价值,但传统的纤维材料光学常数获取方法存在成分差异、化学残留、微结构损伤等一系列问题,导致纤维材料光学常数难以获得,最终测量结果存疑。本研究在利用有限差分时域法和粒子群优化算法(FDTD-PSO)进行电磁散射第一原理计算的基础上,开发了一种新的智能反演方法,通过测量纤维材料的散射辐射特性和表征其表面微结构来获得纤维的光学常数。通过对不同种类纤维的理论数值计算模拟,证明了该方法的可行性和准确性,并从尺度参数、粗糙度和入射光角方向三个方面分析了尺度效应和误差。结果表明,光纤材料的尺寸、粗糙度和入射波长均处于亚波长尺度区间,对模型精度要求较高,因此给出了合适的反演范围区间。最后,利用天然丝纤维对该方法进行了实验验证。这项工作构建了一套完整的理论模型和实验方法,可以精确地获得实际纤维材料的光学常数,为获得纤维材料的光学常数提供了新的方向,也为研究纤维材料的辐射调制机理提供了数值依据。
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来源期刊
CiteScore
5.30
自引率
21.70%
发文量
273
审稿时长
58 days
期刊介绍: Papers with the following subject areas are suitable for publication in the Journal of Quantitative Spectroscopy and Radiative Transfer: - Theoretical and experimental aspects of the spectra of atoms, molecules, ions, and plasmas. - Spectral lineshape studies including models and computational algorithms. - Atmospheric spectroscopy. - Theoretical and experimental aspects of light scattering. - Application of light scattering in particle characterization and remote sensing. - Application of light scattering in biological sciences and medicine. - Radiative transfer in absorbing, emitting, and scattering media. - Radiative transfer in stochastic media.
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