New Approaches for the Design of Particulate Media

颗粒介质设计的新方法

• 批准号: 1605075
• 负责人: Heinrich Jaeger
• 金额: $ 34.71万
• 依托单位: University of Chicago
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-15 至 2019-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1605075&HistoricalAwards=false
• 关键词: New; Approaches; Design; Particulate; Media

CBET - 1605075PI: Jaeger, HeinrichParticulate media, or granular materials, are random aggregates of a large number of solid particles. They come in all sizes and encompass a broad range of naturally occurring materials, such as gravel, sand, and soil, and a broad range of industrial and agricultural products, such as grains, fertilizers and powders, and pigments. These materials pose special challenges to handle on a large scale because they can exhibit an array of solid-like and fluid-like behaviors. A key question in designing such materials is how to pick the constituent particles to achieve desired material properties of the aggregate. This project will develop a new approach that will allow practitioners to engineer particle types that will yield predetermined, target outcomes for the behavior of the aggregate. The project will involve a combination of computations and experiments to solve the problem of particle design and to develop a set of general design rules. The project will provide opportunities for students at all academic levels to participate in research. The researchers will participate in a Bridge Program that encourages undergraduates, especially those from underrepresented groups, to continue to graduate work. In addition, the team will participate in several outreach activities to increase the public's appreciation of science and engineering, including the Physics with a Bang! event, which demonstrates science principles to broad audiences.To tackle the inverse problem of identifying appropriate particle shapes for given performance targets, the project implements a computer-aided design and optimization method that makes use of ideas from evolutionary computation. Going beyond devising specific solutions to specific design targets, the project introduces new capabilities by developing general design rules. Such rules apply across a whole range of related targets and, once established, enable rational design by providing a mapping from overall behavior of the particulate medium to particle-level attributes, such as shape. For the design of random composite or particulate systems with complex particle shapes this is a new approach with transformative potential. In this project,arbitrary convex and non-convex shapes will be represented by sets of bonded spheres of varying radius and overlap, whose configuration can be mutated and evolved to optimize performance. Directions to be investigated include distributions of particle sizes and shapes, particle breakage, particles combining hard and soft materials, designing the stress response in the nonlinear regime of incipient failure, and optimizing not only the particles but also the processing pathway. In a second stage of the project this methodology is extended to designing flow behavior, focusing on concentrated particle suspensions. For calibration and validation the computational effort is closely coupled to systematic experiments that use high-resolution 3d-printing to fabricate particles and use x-rays and ultrasound for non-invasive imaging.

CBET -1605075 PI：Jaeger，Heinrich颗粒介质或颗粒材料是大量固体颗粒的随机聚集体。 它们有各种尺寸，包括广泛的天然材料，如砾石，沙子和土壤，以及广泛的工业和农业产品，如谷物，肥料和粉末以及颜料。 这些材料对大规模处理提出了特殊的挑战，因为它们可以表现出一系列类似固体和流体的行为。 设计这种材料的一个关键问题是如何挑选组成颗粒以实现骨料的所需材料性质。 该项目将开发一种新的方法，使从业者能够设计粒子类型，这些粒子类型将为聚集体的行为产生预定的目标结果。 该项目将涉及计算和实验相结合，以解决粒子设计问题，并制定一套通用的设计规则。 该项目将为所有学术水平的学生提供参与研究的机会。 研究人员将参加一个桥梁计划，鼓励本科生，特别是那些来自代表性不足的群体，继续毕业工作。 此外，该小组将参加几个外展活动，以增加公众对科学和工程的欣赏，包括物理与爆炸！活动，向广大观众展示科学原理。为了解决为给定性能目标识别适当颗粒形状的逆问题，该项目实施了一种利用进化计算思想的计算机辅助设计和优化方法。该项目超越了为特定设计目标设计特定解决方案，通过开发通用设计规则引入了新功能。这些规则适用于整个范围的相关目标，一旦建立，通过提供从颗粒介质的整体行为到颗粒级属性（如形状）的映射，实现合理的设计。对于具有复杂颗粒形状的随机复合材料或颗粒系统的设计，这是一种具有变革潜力的新方法。在这个项目中，任意凸形和非凸形将由不同半径和重叠的粘合球体组表示，其配置可以突变和进化以优化性能。要研究的方向包括颗粒尺寸和形状的分布，颗粒破碎，颗粒结合硬和软材料，设计的应力响应的非线性制度的初期故障，并优化不仅是颗粒，但也处理路径。在该项目的第二阶段，这种方法被扩展到设计流动行为，集中在集中的颗粒悬浮液。为了校准和验证，计算工作与系统实验密切相关，这些实验使用高分辨率3d打印来制造颗粒，并使用x射线和超声进行非侵入性成像。