A New Multi-Scale Paradigm for Particulate Flow

颗粒流的新多尺度范式

• 批准号: EP/N034066/1
• 负责人: Raffaella Ocone
• 金额: $ 146.75万
• 依托单位: Heriot-Watt University
• 依托单位国家: 英国
• 项目类别: Fellowship
• 财政年份: 2016
• 资助国家: 英国
• 起止时间: 2016 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FN034066%2F1
• 关键词: New; Multi; Scale; Paradigm; Particulate

Existing theories for particulate flow lack the robustness, predictability and flexibility required to handle the totality of phenomena that such flow may exhibit. Some unwanted industrial issues (such as particle agglomeration) and their management still remain an "art". Current practice is based mainly on ad-hoc models for each specific flow. I propose a novel approach, based on the combination of physical evidence and mathematical methods (statistical mechanics) that will lead to the formulation of a reliable theory applicable to industrial and natural phenomena. A successful theory will create a paradigm shift in the way particulate flow is modelled and will produce a tool that can be employed to substitute ad hoc models, hence avoiding a priori judgements of the flow conditions before selecting the appropriate model. The work proposed aims at bridging the gap between particle technology and rheology. It will result in devising a robust theory able to describe the meso-scale phenomena and link them to particle interactions. The theory will strongly rely on implementing accurate rheological measurement to validate the theory at the meso-scale and to assure a meaningful scale-up to the reactor scale. It will produce fundamental as well as user orientated research by developing a novel predictor which has the potential to significantly reduce production costs and improve the product quality in three areas important to the UK economy, namely pharmaceuticals, paints and detergents, valued at £200B per year

现有的颗粒流理论缺乏鲁棒性，可预测性和灵活性，需要处理的整体现象，这种流动可能会出现。一些不需要的工业问题（如颗粒团聚）及其管理仍然是一门“艺术”。目前的做法主要是基于每个特定流程的特设模型。我提出了一种新的方法，基于物理证据和数学方法（统计力学）的结合，这将导致制定一个可靠的理论适用于工业和自然现象。一个成功的理论将创建一个范式转变的方式微粒流建模，并将产生一个工具，可以用来取代特设模型，从而避免在选择适当的模型之前的流动条件的先验判断。提出的工作旨在弥合颗粒技术和流变学之间的差距。它将导致设计一个强大的理论，能够描述中尺度现象，并将它们与粒子相互作用联系起来。该理论将强烈依赖于实施精确的流变测量，以在介观尺度上验证该理论，并确保有意义的放大到反应器规模。它将通过开发一种新的预测器来进行基础研究和以用户为导向的研究，该预测器有可能在对英国经济至关重要的三个领域（即药品、油漆和洗涤剂）显著降低生产成本并提高产品质量，每年价值2000亿英镑。

项目成果

Modelling granular media using dynamical density functional theory

使用动态密度泛函理论模拟颗粒介质

• 发表时间: 2018
• 期刊: Applications for Sustainable Energy and Environment 2018 - Topical at the 8th World Congress on Particle Technology
• 作者: Hurst T.

Calibrating friction coefficients in discrete element method simulations with shear-cell experiments

• DOI: 10.1016/j.powtec.2020.05.079
• 发表时间: 2020-07
• 期刊: Powder Technology
• 影响因子: 5.2
• 作者: Andrew C. R. Angus;L. A. A. Yahia-L.-A.-A.-Yahia-94396078;Riccardo Maione;Marv J. Khala;C. Hare;A. Ozel;R. Ocone

Modelling inelastic Granular Media Using Dynamical Density Functional Theory

使用动态密度泛函理论对非弹性颗粒介质进行建模

• DOI: 10.1007/s10955-020-02675-0
• 发表时间: 2021
• 期刊: Journal of Statistical Physics
• 影响因子: 1.6
• 作者: Goddard B

Organizational growth strategies for Greek social enterprises' social impact during the COVID-19 pandemic

COVID-19 大流行期间希腊社会企业社会影响的组织增长战略

• DOI: 10.1108/sej-10-2021-0084
• 发表时间: 2022
• 期刊: Social Enterprise Journal
• 影响因子: 2.1
• 作者: Loukopoulos A