Collaborative Research: 3D Printing of Bioinspired Hierarchical Structures with Controllable Roughness for Stable and Long-term Air Retention

合作研究：3D 打印具有可控粗糙度的仿生分层结构，以实现稳定和长期的空气保留

• 批准号: 2114119
• 负责人: Xiangjia Li
• 金额: $ 20.73万
• 依托单位: Arizona State University
• 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: 2021-10-01 至 2025-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2114119&HistoricalAwards=false
• 关键词: Collaborative; Research; 3D; Printing; Bioinspired

Stable and long-term air retention is essential for numerous applications, including energy-efficient low friction fluid transport and drag reduction for ships, three-dimensional cell culture, oil pollution removal, de-icing, and underwater robotics. The ‘Salvinia Molesta’ plant provides an innovative concept to develop biomimetic surfaces with stable and long-term air retention. However, current fabrication approaches make it challenging build hierarchical structures consisting of microscale superhydrophobic hair with dual-scale roughness and wrinkled hydrophilic patches to replicate the ‘Salvinia effect.’ This grant will support fundamental research needed for the development of a multiscale additive manufacturing (AM) process that can selectively control the roughness and wettability of printed bioinspired hierarchical structures for stable and long-term air retention. This project builds knowledge in several areas, including advanced manufacturing, process planning, materials development, mechatronics, control, fluid theory, modeling, and simulation. To enhance science and engineering education, high school students, underrepresented minorities, and females will be involved in the research and new curricula for students and mid-career professionals will be planned at both collaborative universities. Biomimetic design and manufacturing learning modules for K-12 outreach and workshops will be developed by incorporating the research outcomes. To overcome the limitations of current AM techniques, an electrical-field-assisted multi-scale AM process will be established for fabricating bioinspired hierarchical structures with controllable roughness and wettability. The research will test the hypothesis that long-term stable air retention can be modulated by changing the morphology, roughness, and elasticity of bioinspired hierarchical structures. The approach utilizes the electric field to control the distribution of carbon nanotube (CNT) bundles during the printing process for selective roughness. This project aims to fill the knowledge gap on controllable roughness during the 3D printing process. The project includes tasks involving electric field design, multiscale printing process planning, biomimetic morphology design, multi-physics modeling, air retention evaluation, and application development. The research team will characterize the roughness, elasticity, fluid contact angle, and the volume and stability of trapped air of printed bioinspired hierarchical structures. The fundamental mechanisms for long-term stable air retention will be determined as a function of dual-scale roughness and the morphology of bioinspired structures. The research will provide scientific and engineering knowledge for fabricating bioinspired functional surface/interface structures.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.

稳定和长期的空气保持对于许多应用至关重要，包括节能低摩擦流体运输和船舶减阻，三维细胞培养，油污染清除，除冰和水下机器人。“Salvinia Molesta”工厂提供了一个创新的概念，开发具有稳定和长期空气保持的仿生表面。然而，目前的制造方法使得构建由具有双尺度粗糙度的微尺度超疏水毛发和起皱的亲水性贴片组成的分层结构以复制“Salvinia效应”具有挑战性。这笔赠款将支持开发多尺度增材制造（AM）工艺所需的基础研究，该工艺可以选择性地控制打印的生物启发分层结构的粗糙度和润湿性，以实现稳定和长期的空气保持。该项目在多个领域建立知识，包括先进制造，工艺规划，材料开发，机电一体化，控制，流体理论，建模和仿真。为了加强科学和工程教育，高中生、代表性不足的少数民族和女性将参与研究，两所合作大学将为学生和职业中期专业人员规划新课程。仿生设计和制造的K-12推广和研讨会的学习模块将通过纳入研究成果。为了克服现有AM技术的局限性，将建立一种电场辅助的多尺度AM工艺，用于制造具有可控粗糙度和润湿性的仿生分级结构。该研究将测试一个假设，即长期稳定的空气滞留可以通过改变生物启发的层次结构的形态，粗糙度和弹性来调节。该方法利用电场来控制碳纳米管（CNT）束的分布在印刷过程中的选择性粗糙度。该项目旨在填补3D打印过程中可控粗糙度的知识空白。该项目包括电场设计、多尺度印刷工艺规划、仿生形态设计、多物理建模、空气保持评估和应用开发等任务。研究团队将表征打印的仿生分层结构的粗糙度，弹性，流体接触角以及捕获空气的体积和稳定性。长期稳定的空气滞留的基本机制将被确定为双尺度粗糙度和仿生结构的形态的函数。该研究将为制造仿生功能表面/界面结构提供科学和工程知识。该奖项反映了NSF的法定使命，并通过使用基金会的智力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

Scalable multi-material additive manufacturing of bioinspired polymeric material with metallic structures via electrically assisted stereolithography

通过电辅助立体光刻技术对具有金属结构的仿生聚合物材料进行可扩展的多材料增材制造

• DOI: 10.1115/1.4055793
• 发表时间: 2022
• 期刊: Journal of Manufacturing Science and Engineering
• 作者: Tang, Tengteng;Ahire, Bhushan;Li, Xiangjia
• 通讯作者: Li, Xiangjia

Recent advancements and applications in 3D printing of functional optics

功能光学3D打印的最新进展和应用

• DOI: 10.1016/j.addma.2022.102682
• 发表时间: 2022-02-16
• 期刊: ADDITIVE MANUFACTURING
• 影响因子: 11
• 作者: Zhu, Yizhen;Tang, Tengteng;Li, Xiangjia
• 通讯作者: Li, Xiangjia

4D Printing of Seed Capsule‐Inspired Hygro‐Responsive Structures via Liquid Crystal Templating‐Assisted Vat Photopolymerization (Adv. Funct. Mater. 5/2023)

种子胶囊的 4D 打印 — 通过液晶模板激发湿度响应结构 — 辅助还原光聚合（Adv. Funct. Mater. 5/2023）

• DOI: 10.1002/adfm.202370029
• 发表时间: 2023
• 期刊: Advanced Functional Materials
• 影响因子: 19
• 作者: Tang, Tengteng;Alfarhan, Saleh;Jin, Kailong;Li, Xiangjia
• 通讯作者: Li, Xiangjia

Thermoelectric Material Fabrication using Mask Image Projection Based Stereolithography Integrated with Hot Pressing

使用基于掩模图像投影的立体光刻技术与热压集成的热电材料制造

• DOI: 10.31875/2410-4701.2022.09.11
• 发表时间: 2022
• 期刊: Journal of Material Science and Technology Research
• 作者: Tiwari, Lakshya;Tang, Tengteng;Rong, Jiahui;Shan, Weitong;Yang, Yang;Li, Xiangjia
• 通讯作者: Li, Xiangjia

Three-Dimensional Printing of Liquid Crystals with Thermal Sensing Capability via Multimaterial Vat Photopolymerization

• DOI: 10.1021/acsapm.2c00322
• 发表时间: 2022-04-08
• 期刊: ACS APPLIED POLYMER MATERIALS
• 影响因子: 5
• 作者: Joralmon, Dylan;Alfarhan, Saleh;Li, Xiangjia
• 通讯作者: Li, Xiangjia