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首页> 外文期刊>Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers >Identification of mixing parameters in agitated pulp chests: A continuous time domain approach
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Identification of mixing parameters in agitated pulp chests: A continuous time domain approach

机译：激动中混合参数的识别浆箱:一个连续时间域方法

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摘要

Parameter identification is quite challenging in mixing, which is extensively employed in chemical process industry. Agitated pulp chests are more difficult to characterize because they handle non-Newtonian pulp suspensions and non-ideal flows such as short circuiting, recirculation and channeling. In the present study, we characterize the agitated pulp chests in the continuous time domain, which obviates the restrictions imposed by the discrete time approach. For this purpose, a robust and efficient hybrid genetic algorithm is utilized along with a differential-algebraic model of mixing. Necessary derivatives including auxiliary differential equations are obtained for gradient search. Using realistic large sets of mixing data, both the algorithm and the model are successfully validated before characterizing laboratory-scale agitated pulp chests. Superior characterizations are obtained compared to those yielded by the discrete time domain approach. This outcome highlights the benefit of the continuous time domain approach developed in this work.
机译：参数识别是相当具有挑战性被广泛应用于化学混合过程工业。很难描述,因为他们处理非牛顿纸浆悬浮液和理想流,如短路、再循环和通灵。连续时间的搅拌浆箱域,消除限制离散时间的方法。一个健壮的、高效的混合遗传算法利用以及微分代数吗混合模型。辅助微分方程获得了梯度搜索。混合数据,算法和模型成功验证之前描述实验室规模激动纸浆胸部。特征相比产生的离散时域方法。这一结果突出的好处连续时间域方法开发工作。

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