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 -1605075PI：Jaeger，Heinrichparticulate培养基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，并包含各种自然存在的材料，例如碎石，沙子和土壤，以及各种各样的工业和农产品，例如谷物，肥料，粉末以及颜料。 这些材料构成了特殊的挑战，可以大规模应对，因为它们可以表现出一系列类似固体和流体的行为。 设计此类材料的关键问题是如何选择成分颗粒以获得骨料的所需材料特性。 该项目将开发一种新方法，该方法将允许从业者设计将产生预定的粒子类型，以实现骨料行为的目标。 该项目将涉及计算和实验的组合，以解决粒子设计问题并制定一组通用设计规则。 该项目将为所有学术级别的学生提供参与研究的机会。 研究人员将参加一项桥梁计划，该计划鼓励本科生，尤其是来自代表性不足的团体的桥梁计划继续研究生工作。 此外，该团队将参加几项外展活动，以增加公众对科学和工程学的欣赏，包括爆炸的物理学！事件，展示了科学原理，以解决为给定性能目标确定适当粒子形状的反问题，该项目实施了一种计算机辅助设计和优化方法，该方法利用了进化计算中的思想。该项目超越了针对特定设计目标的特定解决方案，通过制定一般设计规则引入了新功能。这样的规则适用于整个相关目标范围，一旦建立，可以通过提供从颗粒培养基的整体行为到粒子级属性（例如形状）来实现合理设计。对于具有复杂粒子形状的随机复合系统或颗粒系统的设计，这是一种具有变革势的新方法。在这个项目中，任意凸和非凸形形状将由不同半径和重叠的键合球体表示，它们的配置可以突变并进化以优化性能。要研究的方向包括粒度和形状的分布，粒子破裂，结合硬质和软材料的颗粒，在非线性失败的非线性状态中设计应力响应，不仅优化了颗粒，而且还优化了处理途径。在项目的第二阶段，这种方法扩展到设计流动行为，重点是浓缩粒子悬浮液。为了进行校准和验证，计算工作与使用高分辨率3D打印的系统实验紧密耦合，以制造粒子，并使用X射线和超声进行非侵入性成像。