A predictive multiscale numerical framework for emulsion flow

乳液流动的预测多尺度数值框架

• 批准号: RGPIN-2016-04098
• 负责人: Komrakova, Alexandra
• 金额: $ 1.75万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=638929
• 关键词: predictive; multiscale; numerical; framework; emulsion

The pharmaceutical, cosmetics, and food industries have undertaken substantial efforts to create stable liquid-liquid emulsions that satisfy customers with the unique properties of their products (e.g., bioavailability, texture, and taste). At the same time, the oil sands industry has worked to develop efficient methods to separate leftover bitumen and water as a way of reducing the accumulation of tailings ponds, which have a negative impact on everyone in the Athabasca River watershed. The common challenge for each industry is insufficient understanding of the complex nature of the interaction of two immiscible liquids, which leads to the formation and annihilation of drops. The distribution of drop sizes, as a function of liquid properties and flow conditions, defines the emulsion characteristics, including its stability, viscosity, and rheology. To control the properties of the emulsion product, a reliable prediction of the drop size distribution is essential.

制药、化妆品和食品行业已经做出了巨大努力来创造稳定的液-液乳液，以满足客户对其产品的独特性能(例如，生物利用度、质地和味道)。与此同时，油砂行业一直致力于开发有效的方法来分离剩余沥青和水，以此作为减少尾矿池堆积的一种方式，尾矿池对阿萨巴斯卡河流域的每个人都有负面影响。每个行业面临的共同挑战是对两种不相容液体相互作用的复杂性认识不足，这会导致液滴的形成和消灭。液滴大小的分布作为液体性质和流动条件的函数，定义了乳状液的特性，包括其稳定性、粘度和流变性。为了控制乳液产品的性能，对液滴尺寸分布的可靠预测是必不可少的。