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RUI: Multiscale Analysis of Adhesion and Friction Coupling Enabled by Bio-Inspired Anisotropic Fibrillar Adhesives

RUI: Multiscale Analysis of Adhesion and Friction Coupling Enabled by Bio-Inspired Anisotropic Fibrillar Adhesives
RUI:仿生各向异性纤维粘合剂实现粘合和摩擦耦合的多尺度分析
批准号:
2004251
负责人:
Travis Hu
金额:
$30.41万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-08-15 至 2024-07-31

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pNON-TECHNICAL SUMMARYMany organisms in nature have adapted microscopic hairs and fibrils as robust adhesives for locomotion purposes and/or securing a strong attachment. Geckos are among the most studied species for developing bio-inspired dry adhesives due to their fairly large body size and sophisticated toe pad structure. Despite great improvements on adhesion strength, the durability and reusability of many lab-scale 'proof-of-principle' artificial adhesives still lag behind their natural counterparts, even being tested on smoother and cleaner substrates. In this project, adhesive arrays with controlled contact shapes and geometries will be fabricated using template-assisted cast molding and advanced micro-fabrication techniques. Adhesive behavior will be characterized to simultaneously measure adhesion and friction under non-idealized conditions (e.g., on non-dust-free surfaces, and at different temperatures and humidity). Computer simulation will be performed to explain the experimental results. Overall, the proposed work provides an alternative approach to study surface and interfacial phenomena of advanced smart superstructures mimicking nature. Students will examine problems at the crossroads of engineering, materials science, physics, chemistry, and other related disciplines. Exploring a broad range of applications by building up state-of-the-art versatile mechanical system and simulation tools will substantially enhance research productivity, and provide essential research training to undergraduate and graduate students at Cal State LA and in the Southern California region. The educational plan contributes to Cal State LA's long tradition of educating local minority and underrepresented students to become the next generation of engineers, scientists, and educators whose vision is to link science priorities to the solving of societal problems./ppTECHNICAL SUMMARYEfforts to mimic gecko toe pad structure and function seek to develop a new class of advanced adhesives that are not only sticky and easy to unstick, but also non-fouling. Current synthetic dry adhesives suffer from large required preloading and intolerance of dusty environments, which significantly limit their use for sticking to or manipulating fragile and non-dust-free objects. This project focuses on understanding the engaging and disengaging mechanisms of anisotropic fibrillar adhesive units featuring a variety of contact shapes/geometries and structural/materials gradient across multiple lengths and temporal scales. The proposed dry adhesive design incorporates both the geometrical anisotropy seen at the setal level and the special contact shape of the setal branches at the spatula level. The ultimate goal is to elucidate how adhesion and friction are coupled and may be better controlled by rationally designing the geometry dependent dry adhesive units. Adhesive performance will be evaluated under cyclic loadings and non-dust-free environments, as well as different temperatures and relative humidity, using a custom-designed surface force apparatus. Multiscale anisotropic finite-element cohesive-zone modeling will be implemented to parameterize the contact shape dependent interfacial behaviors, and to analyze the adhesive mechanisms, fracture and failures. This project will yield both basic and applied advances in biomimetic research, e.g., development of switchable and self-cleaning surfaces; micro-/nanomanipulations; and high tolerance dry adhesives and drug delivery systems for robotics, energy and biomedical applications./ppThis 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./p
期刊论文(6)
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会议论文
DOI: 10.1016/j.mtphys.2022.100807
发表时间: 2022-08
期刊: Materials Today Physics
影响因子: 11.5
作者: [Yiqiang Li;Yuanyuan Mi;Zheyu Liu;Yinping Liu;Weiye Zhang;Shangxing Qiu;M. A. Ramos;Travis Shihao H]
通讯作者: Yiqiang Li;Yuanyuan Mi;Zheyu Liu;Yinping Liu;Weiye Zhang;Shangxing Qiu;M. A. Ramos;Travis Shihao H
Machine learning guided microwave-assisted quantum dot synthesis and an indication of residual H 2 O 2 in human teeth
机器学习引导微波辅助量子点合成以及人类牙齿中残留 H 2 O 2 的指示
DOI: 10.1039/d2nr03718a
发表时间: 2022
期刊: Nanoscale
影响因子: 6.7
作者: [Xu, Quan, Tang, Yaoyao, Zhu, Peide, Zhang, Weiye, Zhang, Yuqi, Solis, Oliver Sanchez, Hu, Travis Shihao, Wang, Juncheng]
通讯作者: Wang, Juncheng
DOI: 10.1016/j.mtphys.2022.100919
发表时间: 2022-11
期刊: Materials Today Physics
影响因子: 11.5
作者: [Xiaohang Luo;Xiaoxiao Dong;Hong Zhao;Travis Shihao Hu;Xiuping Lan;Lan Ding;Jiapeng Li;Huiqin Ni;Jordan A. Contreras;Hongbo Zeng;Quan Xu]
通讯作者: Xiaohang Luo;Xiaoxiao Dong;Hong Zhao;Travis Shihao Hu;Xiuping Lan;Lan Ding;Jiapeng Li;Huiqin Ni;Jordan A. Contreras;Hongbo Zeng;Quan Xu
DOI: 10.1007/s43979-022-00002-y
发表时间: 2022-04
期刊: Carbon Neutrality
影响因子: --
作者: [Quan Xu;Yingchun Niu;Jiapeng Li;Ziji Yang;Jiajia Gao;Lan Ding;Huiqin Ni;Peide Zhu;Yinping Liu;Yaoyao Tang;Zhong Lv;Bo Peng;Travis Shihao Hu;Hongjun Zhou;Chunming Xu]
通讯作者: Quan Xu;Yingchun Niu;Jiapeng Li;Ziji Yang;Jiajia Gao;Lan Ding;Huiqin Ni;Peide Zhu;Yinping Liu;Yaoyao Tang;Zhong Lv;Bo Peng;Travis Shihao Hu;Hongjun Zhou;Chunming Xu
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