Optimisation of a vibro-packing process through simulation and experiment

通过模拟和实验优化振动包装工艺

• 批准号: 2889985
• 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: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2889985
• 关键词: Optimisation; vibro; packing; process; through

Vibro-packing is a technique used in industry for filling moulds withgranular particles to a high degree of packing fraction. The entiremould apparatus is vibrated with precise acceleration properties,causing the particles to permeate and fill the void spaces as efficientlyas possible. The mould can then be back-filled with a suitable binder(e.g. epoxy resins) to produce a high quality, homogeneous compositematerial with desirable mechanical properties in a (close to) near netshape.The nature of the applied vibration and the design of the mould toolitself cause interesting phenomena, such as node formation aroundfixtures and out-of-axis motion, which are not simple to predictwithout extensive testing and simulation. This project involves a jointexperimental and modelling study of these phenomena, with the intentof optimising the vibro-packing process to increase manufacturingthroughput and tightly control the resulting material properties.The project seeks to use advanced experimental techniques (such asPositron Emission Particle Tracking, PEPT) to characterize the systemand provide important validation data. With PEPT, individual particlescan be tracked as they move through the mould, which combined withmachine learning and AI techniques, will allow us to develop anunderstanding of how the particles' properties affect their packingbehaviour. Cutting edge modelling and simulation techniques (discreteelement method, DEM, coupled with computational fluid dynamics,CFD) will be used to improve our understanding of how theseproperties - and those of the mould fixture and resin binder - can beused to produce better materials faster and more reliably.

振动充填是一种工业上使用的技术，用颗粒颗粒填充模具，使其达到高度的充填分数。整体重塑装置的振动具有精确的加速特性，使颗粒尽可能有效地渗透和填充空隙。然后用合适的粘结剂(如环氧树脂)回填模具，以产生高质量、均匀的复合材料，在(接近)网状形状中具有所需的机械性能。外加振动的性质和模具本身的设计会引起有趣的现象，如夹具周围的节点形成和轴外运动，这些现象在没有广泛的测试和模拟的情况下是不容易预测的。该项目涉及对这些现象的联合实验和模型研究，目的是优化振动包装过程，以提高制造产能并严格控制所产生的材料性能。该项目寻求使用先进的实验技术(如正电子发射粒子跟踪，PEPT)来表征系统并提供重要的验证数据。有了PEPT，单个颗粒在模具中移动时可以被跟踪，这与机器学习和人工智能技术相结合，将使我们能够了解颗粒的性质如何影响它们的包装行为。尖端建模和模拟技术(离散元素法，DEM，结合计算流体力学，CFD)将被用来提高我们对如何利用这些特性--以及模具夹具和树脂粘结剂的特性--更快、更可靠地生产更好材料的理解。