【摘要】 恰当地调整动态光散射颗粒测量反演算法的反演范围,使之趋近真实颗粒分布范围是改善反演结果的主要途径之一。目前通用的CONTIN算法尚没有自动调整反演范围的能力,反演质量还有待提高。因此,提出了一种自动调整反演范围的迭代CONTIN算法,并通过动态光散射数值模拟分析,比较了在无噪声和多种噪声水平影响下CONTIN算法和迭代CONTIN算法对单分散和双分散颗粒系的反演结果。研究表明,迭代CONTIN算法与CONTIN算法相比,在反演分布峰值位置、峰宽度、峰对称性、双峰识别能力以及抗噪声干扰等方面都具有明显优势。更多还原

【Abstract】 In particle sizing by dynamic light scattering method, to adjust properly the inverse range of inverse algorithms towards real range of particle distribution is one of the main approaches to improve inverse results. The CONTIN algorithm is one of the algorithms widely used in this field. Since the CONTIN algorithm has no capability to adjust the inverse range automatically, the accuracy of results from CONTIN is not satisfied. Based on CONTIN, an iterative CONTIN algorithm was developed, which can adjust its inverse range automatically. Numerical tests are performed using dynamic light scattering simulation, which simulates mono-disperse particulate systems and dual-disperse particulate systems with zero and nonzero noise pollutions. Comparisons were made between inverse results of CONTIN and those of Iterative CONTIN. The investigation shows that the Iterative CONTIN is better than CONTIN in peak position, peak width and symmetry of inverse distribution, the capability of recognizing double peaks and tolerance of noises.更多还原