Application of fuzzy cognitive maps to factors affecting slurry rheology
Application of fuzzy cognitive maps to factors affecting slurry rheology
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DOI：
10.1016/s0301-7516(97)00071-9
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发表时间：
1998-02-01
影响因子：
--
通讯作者：
Bearman, RA
中科院分区：
文献类型：
--
作者：
Banini, GA;Bearman, RA
我们提出模糊认知图，模糊逻辑的一个分支，研究影响过程的因素的相互作用和方法的细节进行了讨论。应用该技术来区分影响浆料流变性的因素。结果表明，流体动力学相互作用、有效颗粒浓度、颗粒形状和尺寸、温度和剪切速率对浆料粘度有显著影响。还介绍了以前的工人描绘的各种因素的复杂的相互作用。(C)1998年Elsevier Science B.V.
We propose fuzzy cognitive maps, a branch of fuzzy logic, to study interaction of factors affecting processes and details of the approach are discussed. Application of the technique to discriminate between factors affecting slurry rheology is demonstrated. It has been shown that hydrodynamic interaction, effective particle concentration, shape and size, temperature and shear rate have a significant influence on the slurry viscosity. The complex interaction of the various factors delineated by previous workers is also presented. (C) 1998 Elsevier Science B.V.