Prediction of flow and mixing of rheologically complex fluids.

预测流变复杂流体的流动和混合。

• 批准号: 2433767
• 金额: --
• 依托单位: University of Birmingham
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2433767
• 关键词: Prediction; flow; mixing; rheologically; complex

An almost exponential increase in the computational speed, miniaturization and the resulting decrease in the cost of computing in the recent past has led to huge interest towards In-Silico first approaches for solving engineering problems. This is especially true for CFD, where the use of finer meshes and more complex models leads to more accurate results. However, although handling many fluid flow applications is possible computationally, understanding the flow behaviour of many complex fluids and creating realistic flow/mixing models remains a challenge.The main Objective of this work is to study experimentally, the flow and mixing behaviour of complex fluids comprising of solids, mesophases and isotropic liquids. The knowledge can subsequently be converted to rheology and CFD models. This problem has 3 main sub-challenges.1. Study the flow/mixing behaviour of complex fluids of varying rheology using Positron Emission Particle Tracking (PEPT) methodology. Flow behaviour will be studied on a range of batch and continuous pilot/lab scale processing equipment, such as ploughshare mixer, sigma mixer, screw extruder, etc.2. Adapt and develop methods to measure and characterize the rheology of complex formulations, and fit rheological models that capture the effect of xi, T, etc as well as time and deformation rate.3. Develop numerical methods to capture the flow behaviour and produce realistic predictions of the flow/mixing during processing.

在计算速度，小型化和由此产生的计算成本的降低，在最近的过去几乎呈指数级增长，导致了巨大的兴趣对硅第一的方法来解决工程问题。这对于CFD尤其如此，其中使用更精细的网格和更复杂的模型会导致更准确的结果。然而，虽然处理许多流体流动的应用是可能的计算，了解许多复杂的流体的流动行为和创建现实的流动/混合模型仍然是一个挑战。这项工作的主要目的是实验研究，复杂的流体包括固体，中间相和各向同性液体的流动和混合行为。这些知识随后可以转换为流变学和CFD模型。这个问题有3个主要的子挑战。使用正电子发射粒子跟踪（PEPT）方法研究不同流变学的复杂流体的流动/混合行为。流动行为将在一系列间歇和连续中试/实验室规模的加工设备上进行研究，如犁铧混合机、西格玛混合机、螺杆挤出机等。调整和开发方法来测量和表征复杂配方的流变性，并拟合流变模型，捕捉xi，T等以及时间和变形速率的影响。3.开发数值方法，以捕获流动行为，并在加工过程中对流动/混合进行实际预测。