Non-linear Least Squares Fitting Of Coefficients In The Herschel-bulkley Model

Glen Mullineux

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Non-linear Least Squares Fitting Of Coefficients In The Herschel-bulkley Model

机译：Herschel-bulkley模型中系数的非线性最小二乘拟合

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摘要

The Herschel-Bulkley model can be used to describe the Theological behaviour of certain non-Newtonian fluids. When fitting to experimental data, its parameters need to be determined and this is a non-linear problem. The conventional approach is to solve the resulting normal equations numerically. An alternative method is presented for the Herschel-Bulkley model which eliminates the complexity associated with a general numerical method, and so offers potential benefits when dealing with the model in practice.

机译：Herschel-Bulkley模型可用于描述某些非牛顿流体的神学行为。在拟合实验数据时，需要确定其参数，这是一个非线性问题。常规方法是对所得的正规方程进行数值求解。针对Herschel-Bulkley模型提出了一种替代方法，该方法消除了与通用数值方法相关的复杂性，因此在实际处理模型时具有潜在的优势。

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来源
《Applied Mathematical Modelling》 |2008年第12期|2538-2551|共14页
作者
Glen Mullineux;
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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类
关键词
herschel-bulkley model; non-linear least squares; curve fitting;

机译：Herschel-bulkley模型;非线性最小二乘;曲线拟合;

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8. A Computer Program for Fitting Non-Linear Regression Models to Data by Least Squares, [R] . ross, p. j. 1972

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Non-linear Least Squares Fitting Of Coefficients In The Herschel-bulkley Model

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