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Predictive formulation of high-solid-content complex dispersions

Predictive formulation of high-solid-content complex dispersions
高固含量复合分散体的预测配方
批准号:
EP/N025318/1
负责人:
Jin Sun
金额:
$126.04万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2016
资助国家:
英国
项目状态:
已结题
起止时间:
2016 至 --

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中文摘要
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英文摘要
High-solid-content dispersions of solid particles of size about 1-50 microns in a liquid phase (HSCDs) occur ubiquitously in industrial applications, from cement and ceramic pastes to catalyst washcoats, paints, foods and drilling fluids. The reliable and efficient processing and manufacture of these diverse products presents 'grand challenges' to formulation technology because at high solids volume fraction process flow and product behaviour become increasingly unstable and unpredictable. But achieving high volume fraction is often desirable in many applications: in generic process flow, to maintain throughput and cut energy/materials costs; in ceramics manufacture, higher volume fraction green bodies sinter to mechanically stronger products; increasing volume fraction of a slurry for spray drying reduces drying time; higher volume fraction drilling fluids reduce problems of fluid and gas influx and collapse in bore holes. Conversely, unstable flow at large viscosity is sometimes actually desirable, as long as it is predictable, e.g., in breaking aggregates to disperse catalytic converter washcoats or pigments in a mixer. In all these applications and many others the ability to control and predict rheology for a given formulation--to 'dial up' required behaviour--would transform formulation science and practice with HSCDs. However, experience repeatedly shows that as volume fraction increases, the flow and stress become increasingly unstable, and characterization, measurement, control and prediction increasingly challenging and unreliable. Conventional rheological characterization of HSCDs is often poorly reproducible and also fails to predict correct flow behaviour in the complex, non-rheometric geometries encountered in applications. Notoriously, small changes beyond the manufacturer's control, e.g. due to unforeseen variations in processing conditions or a change in supplier, can have catastrophic effects (e.g. a normally flowable formulation can suddenly fracture rather than flow). On top of this, industrial applications span many length scales, from < 100-particle-diameter extrusion mouldings and printed films to kilometre-deep bore holes so that predicting and characterizing HSCD flow faces the simultaneous requirements of scale up and scale down. Faced with these ubiquitous challenges, and because the basic science of flow at high volume fraction is not understood and predictive engineering tools are not established, formulators often resort to accumulated experience and informal procedures such as 'finger rheology' (rubbing samples between fingers!) to guide their work. Thus, existing formulations are often sub-optimal, and problems arising from these formulations are solved mostly by trial and error, while the risk associated with formulation innovation severely limits development of new products and processes. Our vision, inspired by recent major scientific advances by members of the project team, is to transform practice in the formulation of HSCDs through a tight collaboration of researchers and major multi-sector industry partners. Our new scientific understanding will provide new methodology of characterization, measurement, prediction and control, leading to reliable process and manufacture of HSCD-based products. The project will enable manufacturers to formulate their products according to rational design principles, using parameters deduced from well-characterised reproducible flow measurements. This approach will yield step changes in control and predictability over multiple length scales and multiple application sectors.
期刊论文(9)
专著(0)
科研奖励(0)
会议论文
Testing the Wyart-Cates model for non-Brownian shear thickening using bidisperse suspensions
使用双分散悬浮液测试非布朗剪切增稠的 Wyart-Cates 模型
DOI: 10.48550/arxiv.1901.02066
发表时间: 2019
期刊:
影响因子: --
作者: [Guy B]
通讯作者: Guy B
Conching chocolate: A prototypical transition from frictionally jammed solid to flowable suspension with maximal solid content
精炼巧克力:从摩擦堵塞的固体到具有最大固体含量的可流动悬浮液的典型转变
DOI: 10.48550/arxiv.1902.00471
发表时间: 2019
期刊:
影响因子: --
作者: [Blanco E]
通讯作者: Blanco E
Exact solutions for steady granular flow in vertical chutes and pipes
垂直溜槽和管道中稳定颗粒流的​​精确解决方案
DOI: 10.1017/jfm.2021.909
发表时间: 2021-11-11
期刊: JOURNAL OF FLUID MECHANICS
影响因子: 3.7
作者: [Barker, T., Zhu, C., Sun, J.]
通讯作者: Sun, J.
The singular hydrodynamic interactions between two spheres in Stokes flow
斯托克斯流中两个球体之间的奇异流体动力相互作用
DOI: 10.1063/5.0009053
发表时间: 2020
期刊: Physics of Fluids
影响因子: 4.6
作者: [Goddard B]
通讯作者: Goddard B
Submarine landslide tsunamis, mechanisms of granular flows at multiple scales; a new UK/China multidisciplinary research collaboration
  • 批准号:
    NE/W004240/2
  • 项目类别:
    Research Grant
  • 资助金额:
    $0.06万
  • 财政年份:
    2023
  • 负责人:
    Jin Sun
  • 依托单位:
Submarine landslide tsunamis, mechanisms of granular flows at multiple scales; a new UK/China multidisciplinary research collaboration
  • 批准号:
    NE/W004240/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $4.69万
  • 财政年份:
    2021
  • 负责人:
    Jin Sun
  • 依托单位:
Functional Surfaces via Electrical Discharge Methods
  • 批准号:
    EP/L017547/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $12.32万
  • 财政年份:
    2014
  • 负责人:
    Jin Sun
  • 依托单位:
Particle Shape and Flow behaviour in Laser Sintering: from modelling to experimental validation
  • 批准号:
    EP/L017539/1
  • 项目类别:
    Research Grant
  • 资助金额:
    $15.45万
  • 财政年份:
    2014
  • 负责人:
    Jin Sun
  • 依托单位:
海外基金