高分子分子量分布模拟中的同一性问题

    Identity in Simulantion of Molecular Weight Distribution for Polymers

    • 摘要: 讨论了对效正态分布一般型拟合高分子分子量分布的同一性问题。给出了平均分子量及分子量矩的计算式和估计式,严格论证了当参数估值满足一定条件时,所有对数正态分布都是同一的。因此证明了Wesslau分布和Konings veld分布是完全一样的分子量分布,及不能用改变对数正态分布一般型中的分布指数大小来改善模拟峰的宽度和峰顶位置。

       

      Abstract: In this work identity of general logarithmic normal forms is discussed for simulating the molecular weight distribution of polymers. Equations are derived to calculate the moments of and the averages of molecular weights. It substantiates that all forms of logarithmic normal distributions are essentially identical if paramer estimates satisfy certain conditions. In consequence it shows that Wesslau's and Koningsveld's distributions are identical, and that it is impossible to modify simulation peak width and peak location in GPC by varing the distribution index in general logarithmic normal distribution.

       

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