NSF-IFPRI Collaboratory in Dense Particulate Flow

CBET-101008Mort，Paul R.Intelligence Merit：为了认可颗粒流模拟和建模方面的进步，国际精细颗粒研究所(IFPRI)目前正在开发一项合作计划，在该计划中，IFPRI将提供来自良好控制的实验的特定数据集，在这些实验中，流场得到了很好的定义，应力的测量范围从单个颗粒、颗粒链和颗粒群，以及散装颗粒流。数据集既包括模型材料，也包括具有分布特征(例如，大小和形状)和一系列材料属性(硬度、恢复原状等)的工业相关材料。该计划的挑战是开发理论方法和模型来描述IFPRI实验中测量的流量范围并对其进行验证。更广泛的影响-符合工业、学术和可持续发展的共同利益：工业需要有用的方法来预测颗粒和粉末材料在与工业相关的流动状态中的应力和流动行为，作为操作条件、材料特性和颗粒特性的函数。在可持续加工和能源效率的趋势中，工业努力使颗粒和粉末加工的单位能量投入最小化，即在最大生产率下最小的电力消耗。这个项目的基本目标是通过提供对颗粒和整体尺度上的稠密流物理的可靠描述来实现这一目标，包括现实材料的能量耗散相互作用。作为预测方法的基础，更广泛的工业界和学术界的研究人员、模型师和工程师需要定义和了解稠密颗粒流的相关区域、其中的基本物理以及边界条件、材料特性和颗粒特性的影响。

CBET-101008Mort, Paul R.Intellectual Merit: In recognition of advances in simulation and modeling of granular flows, the International Fine Particle Research Institute (IFPRI) is currently developing a collaborative program in which IFPRI will make available specific datasets from well controlled experiments wherein flow fields are well defined and stresses are measured over scales ranging from individual particles, chains and clusters of particles, and bulk particulate flows. The datasets include both model and industrially-relevant materials with distributed characteristics (e.g., size and shape) and a range of material properties (stiffness, restitution, etc). The challenge of the program is to develop theoretical approaches and models to describe the range of flows measured in the IFPRI experiments and validation thereof. Broader Impact - in the mutual interest of Industry, Academia and Sustainability: Industry requires useful methods to predict stress and flow behavior of granular and powder materials across industrially relevant flow regimes, as a function of operating conditions, material properties and particulate characteristics. In the trend toward sustainable processing and energy efficiency, industry strives toward the minimization of specific energy input in granular and powder processing, i.e., minimal power consumption at maximum production rate. The fundamental objectives of this project address this goal by providing a robust description of the physics of dense flows on particle and bulk scales, including energy dissipative interactions of realistic materials. As a foundation for predictive methods, the broader community of industrial and academic researchers, modelers and engineers need to define and understand the relevant regimes of dense particulate flow, the underlying physics therein, and the effect of boundary conditions, material properties and particle characteristics.