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首页> 外文会议>AD-vol.69; American Society of Mechanical Engineers(ASME) International Mechanical Engineering Congress and Exposition; 20041113-19; Anaheim,CA(US) >MAGNETO-RHEOLOGICAL PARAMETER IDENTIFICATION FROM VISCOMETRIC FLOW CURVES USING GENETIC ALGORITHMS
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MAGNETO-RHEOLOGICAL PARAMETER IDENTIFICATION FROM VISCOMETRIC FLOW CURVES USING GENETIC ALGORITHMS

机译：遗传算法从粘滞流曲线中识别磁流变参数

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The primary objective of this study is to estimate the parameters of models characterizing the Theological properties of nanoparticle-based magnetorheological fluids. Experiments were carried out for suspensions of nanometer sized iron and cobalt particles. Shear stresses and the strain rates have been calculated for different magnetizing currents. The MR fluid was characterized using Bingham-Plastic and Herschel-Bulkley constitutive models. Both these models have two regimes: a rigid pre-yield behavior for shear stress less than a field-dependent yield stress, and viscous behavior for higher shear rates. Determination of model parameters is a complex problem due to the non-linearity of the model and the large amount of scatter in the experimentally observed data. To estimate the Theological parameters, we used a genetic algorithm and carried out a global optimization. The genetic scheme produces results with trends comparable to the gradient-based techniques and is more accurate. The Herschel-Bulkley fluid model is seen to fit the data with lower errors over a larger range as compared to the Bingham-Plastic model.
机译：这项研究的主要目的是估计表征基于纳米颗粒的磁流变液的流变特性的模型参数。对纳米尺寸的铁和钴颗粒的悬浮液进行了实验。已经针对不同的励磁电流计算了剪切应力和应变率。 MR流体使用Bingham-Plastic和Herschel-Bulkley本构模型进行表征。这两种模型都有两种状态：对于剪切应力小于依赖于场的屈服应力的刚性预屈服行为，以及对于较高剪切速率的粘性行为。由于模型的非线性和实验观察到的数据中的大量分散，确定模型参数是一个复杂的问题。为了估计神学参数，我们使用了遗传算法并进行了全局优化。遗传方案产生的结果具有与基于梯度的技术相当的趋势，并且更加准确。与Bingham-Plastic模型相比，Herschel-Bulkley流体模型可以在较大范围内以较低的误差拟合数据。

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