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首页> 外文期刊>Powder Technology: An International Journal on the Science and Technology of Wet and Dry Particulate Systems >Inversion of particle size distribution from spectral extinction data using the bimodal Johnson's S_B function
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Inversion of particle size distribution from spectral extinction data using the bimodal Johnson's S_B function

机译:使用双峰约翰逊S_B函数从光谱消光数据反转粒径分布

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摘要

In spectral extinction particle sizing technique, an inversion method in the dependent model is proposed, in which the commonly used bimodal, mix-bimodal, and monomodal particle size distributions are retrieved using the bimodal Johnson's S_B function as the assumed type of distribution function. The feasibility and reliability of this inversion method are investigated, and the inversion using the bimodal modified beta function as the assumed type of distribution function is also discussed for comparison. Numerical simulations and experimental results indicate that the commonly used particle size distributions can be retrieved well using the bimodal Johnson's S_B function as a versatile distribution function in the dependent model with the spectral extinction data. This inversion method not only overcomes the difficulty caused by the inability to determine the type of specified distribution function accurately beforehand, but also allows the description of different types of distributions by a single model.
机译:在光谱消光粒度测定技术中,提出了一种依赖模型中的反演方法,其中使用双峰Johnson's S_B函数作为假设的分布函数来检索常用的双峰,混合双峰和单峰粒度分布。研究了这种反演方法的可行性和可靠性,并讨论了以双峰修正β函数为分布函数的假定类型进行反演以进行比较。数值模拟和实验结果表明,使用双峰Johnson's S_B函数作为具有光谱消光数据的从属模型中的通用分布函数,可以很好地检索常用的粒度分布。这种反演方法不仅克服了由于无法事先准确确定指定分布函数的类型而造成的困难,而且还允许通过单个模型描述不同类型的分布。

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