Generation of Jute Fibre Length Distribution via Graphics and ComputerSimulation with Gamma Distribution Function

Biswas Sk
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Abstract

Notwithstanding the complexity of production of jute fibre filaments a simple graphical presentation of jute fibre length distribution is made. The computer simulation of four types of frequency distribution of jute fibre length depending on method of sampling and testing is presented. These four distribution curves gives six points of intersections which merit technological significance. A study of fibre length-frequency distribution depending on methods of sampling and testing may lead to a general form of Gamma distribution function. The parameters in the mathematical formulae may serve as characteristics of condition giving the benchmark for valid experiment. This type of work involving exponential distribution was not done previously and provides a deeper insight into the characterisation of its comparative features with respect to normal distribution of fibre length. It can be observed that fibrograms for exponential and normal distributions have close similarity if their mean values are same. However, the survivor or array diagram distinguishes the basic distributions better than the fibrogram. This would be useful in the context that the basic frequency distributions of fibre lengths are somewhat difficult to obtain from direct experiments.
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用Gamma分布函数生成黄麻纤维长度分布的图形和计算机模拟
尽管黄麻纤维长丝的生产很复杂,但本文对黄麻纤维的长度分布作了简单的图示。给出了基于采样和测试方法的黄麻纤维长度的四种频率分布的计算机模拟。这四条分布曲线给出了六个具有技术意义的交叉点。根据取样和测试方法对纤维长度-频率分布进行研究,可以得出一般形式的伽马分布函数。数学公式中的参数可以作为条件的特征,为有效的实验提供基准。这种涉及指数分布的工作以前没有做过,并且提供了对其相对于纤维长度正态分布的比较特征的特征的更深入的了解。可以观察到,指数分布和正态分布的纤维图在其平均值相同的情况下具有密切的相似性。然而,存活图或阵列图比纤维图更能区分基本分布。在光纤长度的基本频率分布很难从直接实验中获得的情况下,这将是有用的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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