CAREER: Integrated Design and Digital Fabrication using Topology Optimization and Material Extrusion 3D Printing
职业:使用拓扑优化和材料挤压 3D 打印进行集成设计和数字制造
基本信息
- 批准号:2045417
- 负责人:
- 金额:$ 56万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-06-01 至 2026-05-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
This Faculty Early Career Development (CAREER) award supports fundamental research to formulate the first topology optimization frameworks that will systematically tailor freeform computational design to manufacture by a specific digital fabrication technology. The research will focus on fabrication technologies based on material extrusion-type Additive Manufacturing (AM), which is used in a wide range of 3D printing technologies at various scales. Topology optimization is a freeform design technique that generates new, high-performing design solutions. Topology optimization is often suggested as a powerful design-for-AM approach because it does not require a pre-conceived idea of the final design layout. However, most topology-optimized designs must be “interpreted” or prepared by the design engineer to facilitate manufacture, a process that may result in performance loss of the final product. This research will develop original topology optimization frameworks that leverage the possibilities and constraints offered by extrusion-type AM processes. The integration of design and manufacture investigated in this project will ease the process used by design engineers and improve the performance of the final fabricated product. Equally important for the project is the integrated educational program that will inspire and train the next generations of design engineers to creatively approach design problems while considering manufacturing aspects. The educational program will stimulate interest in futures in engineering design, especially among students who do not typically engage with the topic. The overarching goal of this project is the discovery of a new design-fabrication paradigm that shifts design and manufacture from being two separate entities into a single unified process, where the preparation for fabrication step is eliminated. This objective will be achieved through the formulation of novel topology optimization algorithms that leverage the possibilities and constraints associated with extrusion-type AM. The constraints will be formulated implicitly as new manufacturing primitives that mimic the manufacturing process. The design algorithms will consider the fundamental extrusion characteristics and constraints, including: (i) discrete size of the extruding nozzle, (ii) bond quality between adjacent extrusions, (iii) support in the third dimension, and (iv) effects on the extruded sections of the unsteady processing controls. The new design frameworks will be validated against benchmark problems, and experimental testing will be performed to investigate performance. The research has broad societal impacts, as it will enable many applications in diverse fields, including (but not limited to) design of civil structures, aerospace and automotive components, sports and other protective equipment, novel lightweight materials, and biomedical implants. The integrated educational plan includes the creation of STEM-based outreach initiatives for K-12 middle school art class students and teachers. Furthermore, it encompasses courses and research engagement for undergraduate students of engineering and computer science and graduate engineering students.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
该学院早期职业发展(Career)奖支持制定第一个拓扑优化框架的基础研究,该框架将通过特定的数字制造技术系统地定制自由形状的计算设计。该研究将侧重于基于材料挤压型增材制造(AM)的制造技术,该技术广泛应用于各种规模的3D打印技术。拓扑优化是一种自由形式的设计技术,可以产生新的高性能设计解决方案。拓扑优化通常被认为是一种强大的面向增材制造的设计方法,因为它不需要预先构思最终设计布局的想法。然而,大多数拓扑优化设计必须由设计工程师“解释”或准备以促进制造,这一过程可能导致最终产品的性能损失。本研究将开发原始拓扑优化框架,利用挤压型增材制造工艺提供的可能性和约束。本项目所研究的设计和制造的集成将简化设计工程师使用的过程,并提高最终制造产品的性能。该项目同样重要的是综合教育计划,它将激励和培训下一代设计工程师在考虑制造方面的同时创造性地解决设计问题。该教育项目将激发人们对未来工程设计的兴趣,尤其是那些通常不参与该主题的学生。这个项目的首要目标是发现一种新的设计制造范式,将设计和制造从两个独立的实体转变为一个统一的过程,在这个过程中,制造步骤的准备工作被消除了。这一目标将通过制定新颖的拓扑优化算法来实现,该算法利用与挤压型AM相关的可能性和约束。约束将隐式地表示为模拟制造过程的新制造原语。设计算法将考虑基本的挤出特性和约束,包括:(i)挤出喷嘴的离散尺寸,(ii)相邻挤出件之间的粘合质量,(iii)三维支撑,以及(iv)非定常加工控制对挤出部分的影响。新的设计框架将针对基准问题进行验证,并进行实验测试以调查性能。该研究具有广泛的社会影响,因为它将在不同领域实现许多应用,包括(但不限于)土木结构设计,航空航天和汽车部件,运动和其他防护设备,新型轻质材料和生物医学植入物。综合教育计划包括为K-12中学艺术班的学生和教师创建基于stem的外展活动。此外,它还包括工程和计算机科学本科学生以及工程研究生的课程和研究参与。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(0)
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Josephine Carstensen其他文献
Automatic hyperparameter tuning of topology optimization algorithms using surrogate optimization
- DOI:
10.1007/s00158-024-03850-7 - 发表时间:
2024-09-04 - 期刊:
- 影响因子:4.000
- 作者:
Dat Ha;Josephine Carstensen - 通讯作者:
Josephine Carstensen
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