Collaborative Research: Acoustic Holography Enabled Additive Manufacturing of High-resolution Multifunctional Composites

合作研究：声全息技术支持高分辨率多功能复合材料的增材制造

• 批准号: 2104295
• 负责人: Tony Jun Huang
• 金额: $ 20万
• 依托单位: Duke 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: 2021-07-01 至 2025-06-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2104295&HistoricalAwards=false
• 关键词: Collaborative; Research; Acoustic; Holography; Enabled

Recent swift advances in additive manufacturing have demonstrated its great potential in tailoring the local and global properties of produced structures by including micro- or nano-particles into polymer matrix composites. However, current approaches have been limited by the challenge in precision spatial controls of embedded particles, which usually have diverse material properties, sizes, and shapes, making particle manipulation in a viscous polymer fluid difficult. This collaborative research award will conduct fundamental research to transform an additive manufacturing technology that leverages digital light processing for photopolymerization printing and acoustic holography to accurately “tweeze” micro/nano-particles in a polymer resin. The research will greatly impact basic science fields in acoustic tweezers, materials processing, metamaterials, and biomaterials, etc. Moreover, the studied acoustic holography additive manufacturing technology will advance many engineering applications through enabling novel metamaterials containing, e.g., lattice-like patterns for ultrasonic signal processing devices, cellulose-based reinforced architectures for customized repair of aircraft composite structures, or patterned micro-vessels for personalized biomimetic bone tissue regeneration. Through education and outreach activities, this project will also broaden the participation of underrepresented minorities, improve STEM education, and increase public engagements with science and technologies. The multidisciplinary nature of this project will provide unique learning and training opportunities for graduate and undergraduate students. The overall objective of this research is to understand an acoustic holography enabled additive manufacturing mechanism to fabricate multifunctional composites that contain high-resolution, versatile patterns of diverse micro/nano-particles such as cellulose nanofibrils, carbon-based particles, and cells, etc. First, an acoustic holography-based particle patterning mechanism will be established to construct and reconfigure versatile particle patterns in viscous resins by studying a frequency multiplexing-based method for dynamically controlling multifrequency acoustic fields. Acoustic wave interactions with particles in viscous resins will be uncovered through particle image velocimetry and acoustic field scanning, and a theoretical model for rapid prediction of the particle patterning process will be developed and validated. Next, the knowhow of the acoustic holography-based particle patterning will be fused with the digital light processing-based photopolymerization to create a versatile, high-resolution apparatus for scalable additive manufacturing. Then, the apparatus will be utilized to develop and study novel multifunctional composites such as topological metamaterial composites containing periodic lattice-like patterns of micro-particles. Both theoretical and experimental methodologies will be utilized to further discover the effects of different periodic particle patterns on different properties of additively manufactured composites, including anisotropic elasticity, acoustic band gaps, Dirac cones, and topological states, etc.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.

增材制造最近的快速进展已经证明了其通过将微米或纳米颗粒纳入聚合物基复合材料来定制所生产结构的局部和整体特性的巨大潜力，然而，当前的方法受到嵌入的精确空间控制的挑战的限制。颗粒通常具有不同的材料特性、尺寸和形状，这使得粘性聚合物流体中的颗粒操纵变得困难。该合作研究奖将进行基础研究，以转变利用数字光处理进行光聚合打印和声全息术的增材制造技术。准确该研究将对声镊、材料加工、超材料和生物材料等基础科学领域产生重大影响。此外，所研究的声全息增材制造技术将通过多种方式推进许多工程应用。实现新颖的超材料，例如用于超声波信号处理设备的晶格状图案、用于飞机复合结构定制修复的基于纤维素的增强架构，或用于个性化的图案化微血管通过教育和推广活动，该项目还将扩大代表性不足的少数群体的参与，改善 STEM 教育，并增加公众对科学和技术的参与。该项目的多学科性质将为毕业生提供独特的学习和培训机会。这项研究的总体目标是了解声全息增材制造机制，以制造包含高分辨率、多功能图案的多种微米/纳米颗粒（例如纤维素纳米纤维）的多功能复合材料。首先，将通过研究基于频率复用的动态控制多频声波的方法，建立基于声全息的颗粒图案化机制，以在粘性树脂中构建和重新配置通用颗粒图案。将通过粒子图像测速和声场扫描揭示与粘性树脂中粒子的相互作用，并将开发和验证用于快速预测粒子图案化过程的理论模型。基于声学全息术的粒子图案将与基于数字光处理的光聚合相融合，以创建用于可扩展增材制造的多功能高分辨率设备，然后，该设备将用于开发和研究新型多功能复合材料，例如拓扑超材料复合材料。包含周期性晶格状微粒图案的理论和实验方法将用于进一步发现不同周期性粒子图案对增材制造复合材料不同性能（包括各向异性）的影响。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，认为值得支持。

项目成果

Acoustofluidics for simultaneous nanoparticle-based drug loading and exosome encapsulation

用于同时纳米粒子载药和外泌体封装的声流体学

• DOI: 10.1038/s41378-022-00374-2
• 发表时间: 2022-04
• 期刊: Microsystems & Nanoengineering
• 影响因子: 7.9
• 作者: Wang, Zeyu;Rich, Joseph;Hao, Nanjing;Gu, Yuyang;Chen, Chuyi;Yang, Shujie;Zhang, Peiran;Huang, Tony Jun
• 通讯作者: Huang, Tony Jun

Advances in Microsphere-based Super-resolution Imaging

基于微球的超分辨率成像的进展

• DOI: 10.1109/rbme.2024.3355875
• 发表时间: 2024-01
• 期刊: IEEE Reviews in Biomedical Engineering
• 影响因子: 17.6
• 作者: Upreti, Neil;Jin, Geonsoo;Rich, Joseph;Zhong, Ruoyu;Mai, John;Zhao, Chenglong;Huang, Tony Jun
• 通讯作者: Huang, Tony Jun

Intelligent nanoscope for rapid nanomaterial identification and classification

用于纳米材料快速识别和分类的智能纳米镜

• DOI: 10.1039/d2lc00206j
• 发表时间: 2022-06
• 期刊: Lab on a Chip
• 影响因子: 6.1
• 作者: Jin, Geonsoo;Hong, Seongwoo;Rich, Joseph;Xia, Jianping;Kim, Kyeri;You, Lingchong;Zhao, Chenglong;Huang, Tony Jun
• 通讯作者: Huang, Tony Jun

Aerosol jet printing of surface acoustic wave microfluidic devices

表面声波微流控装置的气溶胶喷射打印

• DOI: 10.1038/s41378-023-00606-z
• 发表时间: 2024
• 期刊: Microsystems & Nanoengineering
• 影响因子: 7.9
• 作者: Rich, Joseph;Cole, Brian;Li, Teng;Lu, Brandon;Fu, Hanyu;Smith, Brittany N.;Xia, Jianping;Yang, Shujie;Zhong, Ruoyu;Doherty, James L.;Kaneko, Kanji;Suzuki, Hiroaki;Tian, Zhenhua;Franklin, Aaron D.;Huang, Tony Jun
• 通讯作者: Huang, Tony Jun

High-yield and rapid isolation of extracellular vesicles by flocculation via orbital acoustic trapping: FLOAT

通过轨道声捕获絮凝高产快速分离细胞外囊泡：FLOAT

• DOI: 10.1038/s41378-023-00648-3
• 发表时间: 2024-02-04
• 期刊: Microsystems & Nanoengineering
• 影响因子: 7.9
• 作者: Joseph Rufo;Peiran Zhang;Zeyu Wang;Yuyang Gu;Kaichun Yang;Joseph Rich;Chuyi Chen;Ruoyu Zhong;Ke Jin;Ye He;Jianping Xia;Ke Li;Jiarong Wu;Yingshi Ouyang;Y. Sadovsky;Luke P. Lee;T. Huang
• 通讯作者: T. Huang