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Collaborative Proposal: Theoretical and Experimental Analysis of Wormlike Micellar and Polymeric Fluids

Collaborative Proposal: Theoretical and Experimental Analysis of Wormlike Micellar and Polymeric Fluids
合作提案:蠕虫状胶束和聚合物流体的理论和实验分析
批准号:
0406590
负责人:
Gareth McKinley
金额:
$0.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2004
资助国家:
美国
项目状态:
已结题
起止时间:
2004-07-01 至 2008-06-30

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中文摘要
翻译
在这个项目中,我们将开发复杂流体的预测模型,特别是蠕虫状胶束溶液和聚合物流体。 与牛顿流体(如水)相反,这些复杂流体表现出剪切速率依赖的粘度和弹性效应。 这些流体的流动表现出纯粹的弹性不稳定性、明显的热敏感性、流动条件的不均匀性(剪切带、剪切诱导结构、分层)和早期破裂。 基于微观结构考虑的数学模型将与双流体效应和胶束的破碎和重整相一致。 将分析,数值模拟,检查的稳定性特征,并与详细的实验结果在剪切和瞬态单轴拉伸流的非线性偏微分方程耦合系统的初边值问题的解决方案。 实验将指导建模,而建模将反过来指导实验测量。 这项研究的结果将为控制这些流体的使用和加工奠定基础。聚合物流体和蠕虫状胶束溶液今天无处不在,被用于油漆,塑料,食品,洗涤剂,药品,农用化学品喷雾剂和石油回收。 对这些混合物在流动条件下的性质的基本了解对其有效使用至关重要。 通过多学科合作,该项目开发了用于控制这些复杂流体流动的预测工具。 这项工作具有潜在的应用,作为一个重要的经济部门的预测工具。
英文摘要
Under this project we will develop predictive models of complex fluids, particularly wormlike micellar solutions and polymer fluids. As opposed to Newtonian fluids (such as water), these complex fluids exhibit shear-rate-dependent viscosities and elastic effects. Flows of these fluids exhibit purely elastic instabilities, pronounced thermal sensitivity, inhomogeneities in flow conditions (shear banding, shear induced structures, demixing), and early fracture. Mathematical models based on microstructural considerations will be developed consistent with two-fluid effects and with micellar breaking and reforming. The solutions of the resultant initial-boundary value problems for coupled systems of nonlinear partial differential equations with a non-local condition will be analyzed, numerically simulated, examined for stability characteristics, and compared with detailed experimental results in both shear and transient uniaxial extensional flows. The experiments will guide the modeling, and the modeling will in turn guide experimental measurements. The results of this research will form a basis for control of these fluids in use and in processing.Polymer fluids and wormlike micellar solutions are ubiquitous today, being used in paints, plastics, foods, detergents, pharmaceuticals, agrochemical sprays, and oil recovery. A basic understanding of the properties of these mixtures under flow conditions is crucial to their effective use. Through a multidisciplinary collaboration, this project develops predictive tools for use in controlling flow of these complex fluids. This work has potential application as a predictive tool for an important sector of the economy.
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