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Identification of non-newtonian rheological parameter through an inverse formulation

机译:通过逆公式识别非牛顿流变参数

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In this work, we introduce an inverse formulation to be applied in the identification of a rheological parameter associated to non-Newtonian fluids. It is built upon a creeping flow through a 4 to 1 axisymmetric abrupt contraction. The fluid is modeled by the Generalized Newtonian Fluid constitutive equation. The viscosity function is based on the one proposed by Souza Mendes et al. (1995). It predicts an extensional elastic behavior, controlled by a rheological parameter q , which is the parameter determined via the proposed identification procedure. The numerical solution of the forward problem, needed in the iterative procedure introduced by the inverse formulation, is obtained through the finite volume method. A sensitivity analysis is also performed to evaluate the effect of the parameter q on the dimensionless pressure drop through the contraction. The optimization algorithm is based on an iterative method to find the minimum of the cost function, which is given by the least square difference between numerical and experimental values of the dimensionless pressure drop. The gradient method was used to update the parameter q , starting from the cost function gradient. The results obtained with the sensitivity analysis validated the adequacy of the proposed cost function, which is a key aspect on the identification formulation. Moreover, it shows that the method provides an attractive alternative for estimation of rheological properties.
机译:在这项工作中,我们介绍了一种逆公式,可用于识别与非牛顿流体相关的流变参数。它建立在通过4到1轴对称突然收缩的蠕变流动的基础上。通过广义牛顿流体本构方程对流体进行建模。粘度函数基于Souza Mendes等人提出的函数。 (1995)。它通过流变参数q来预测拉伸弹性行为,流变参数q是通过建议的识别程序确定的参数。通过有限体积法获得了由反公式引入的迭代过程中所需的正问题的数值解。还执行敏感性分析,以评估参数q对通过收缩的无量纲压降的影响。优化算法基于迭代方法来找到成本函数的最小值,该成本函数由无因次压降的数值与实验值之间的最小平方差给出。从成本函数梯度开始,使用梯度方法更新参数q。通过敏感性分析获得的结果验证了拟议成本函数的充分性,这是识别公式的关键方面。此外,它表明该方法为流变性质的估计提供了有吸引力的替代方法。

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