Collaborative Research: Computational Design of Multi-functional Minimal-Surface Lattice Structures

合作研究：多功能最小表面晶格结构的计算设计

• 批准号: 2130668
• 负责人: JULIAN NORATO
• 金额: $ 28.15万
• 依托单位: University of Connecticut
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2130668&HistoricalAwards=false
• 关键词: Collaborative; Research; Computational; Design; Multi

Triply periodic minimal-surface (TPMS) lattices are widely present in nature and are finding increasing viability for use in engineering applications. Their geometric properties facilitate fabrication via additive manufacturing techniques, and they exhibit good mechanical and transport properties. However, an outstanding challenge in the design and use of these lattices is the lack of consideration for material failure criteria arising from cyclic loading, which is critical for many potential applications. This award supports fundamental research to formulate novel computational techniques to efficiently design multi-functional TPMS lattice structures with regards to strength, durability, transport, and manufacturability criteria, and to allow for modulation of the unit cell design within the component. This research has the potential to substantially increase the viability and range of applications of lightweight minimal-surface lattices in demanding applications in healthcare, welfare, and energy efficiency, such as porous orthopedic implants with enhanced bone-loss prevention, spacers for membrane distillation with high mass transfer efficiency for desalination and wastewater treatment, and architected battery electrodes with high power output and energy storage. This award will also support the development of teaching modules that explore the engineering and aesthetic aspects of designing artifacts with minimal-surface lattices for undergraduate industrial design students, K-12 teachers, and engineering graduate students.To achieve the goal of formulating efficient computational techniques to design TPMS lattices fabricated via additive manufacturing, this project will exploit the mathematical structure of minimal surfaces and couple tools in the differential geometry of surfaces with topology optimization techniques to: 1) design thickness-graded lattices that satisfy strength, permeability and manufacturability requirements; 2) incorporate mechanical fatigue requirements in the lattice design; and 3) modulate the design and orientation of the lattice unit cell within the structural component to render superior performance. Further, design techniques that systematically vary the local geometry of the unit cell within the component will be explored. Fabrication via metal additive manufacturing of TPMS lattices as well as surface morphological analysis, imaging and mechanical testing will be conducted both to inform geometric limits on the lattice design dictated by the manufacturing process, and to validate the performance of lattice designs obtained with the formulated computational techniques.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.

三重周期性的最小表面（TPM）晶格在自然界中广泛存在，并且发现在工程应用中使用的生存能力越来越高。它们的几何特性促进了通过添加剂制造技术的制造，它们具有良好的机械和运输特性。但是，在这些格设计和使用方面的出色挑战是，由于循环负载引起的材料故障标准缺乏考虑，这对于许多潜在应用至关重要。该奖项支持基础研究，以制定新的计算技术，以有效地设计具有强度，耐用性，运输和制造性标准的多功能TPMS晶格结构，并允许对组件中的单位细胞设计进行调节。这项研究有可能大大提高轻质最小表面晶格在医疗保健，福利和能源效率中的苛刻应用中的应用，例如具有增强的骨造口预防的多孔矫形器植入物，具有高质量转移效率的高质量转移效率的高质量转移效率，可用于避免型和型号的电源和型号电源，并进行了用于质量的高质量和型号。该奖项还将支持开发教学模块的开发，该模块探索设计工程和美学方面，该工具和审美方面使用最小的表面晶格设计工具，适用于本科生工业设计专业的学生，​​K-12老师和工程研究生，以实现通过为添加的tpms tpms unim exportion制造的，以实现有效的计算技术，以实现其效果，以实现该项目，并实现该项目的效果，并实现了该项目的效果，并实现了该项目的效果，该项目的效果将促进创建的效果。具有拓扑优化技术的表面差异几何形状：1）设计满足强度，渗透性和生产性要求的厚度级别的晶格； 2）将机械疲劳要求纳入晶格设计中； 3）调节结构组件内晶格单元电池的设计和方向，以提高性能。此外，将探索系统地探索组件中单元电池的局部几何形状的设计技术。 Fabrication via metal additive manufacturing of TPMS lattices as well as surface morphological analysis, imaging and mechanical testing will be conducted both to inform geometric limits on the lattice design dictated by the manufacturing process, and to validate the performance of lattice designs obtained with the formulated computational techniques.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader影响审查标准。