Jambhulkar Sayli, Xu Weiheng, Ravichandran Dharneedar, Prakash Jyoti, Mada Kannan Arunachala Nadar, Song Kenan
The Polytechnic School, Ira A. Fulton Schools of Engineering, Arizona State University, Mesa, Arizona 85281, United States.
The Polytechnic School, School for Engineering of Matter, Transport and Energy, Ira A. Fulton Schools of Engineering, Arizona State University, Mesa, Arizona 85212, United States.
Nano Lett. 2020 May 13;20(5):3199-3206. doi: 10.1021/acs.nanolett.9b05245. Epub 2020 Apr 6.
Here reported is the layer-by-layer-based advanced manufacturing that yields a simple, novel, and cost-effective technique for generating selective nanoparticle deposition and orientation in the form of well-controlled patterns. The surface roughness of the three-dimensionally printed patterns and the solid-liquid-air contact line, as well as the nanoparticle interactions in dipped suspensions, determine the carbon nanofiber (CNF) alignment, while the presence of triangular grooves supports the pinning of the meniscus, resulting in a configuration consisting of alternating CNF and polymer channels. The polymer/nanoparticle composites show 10 times lower resistance along with the particle alignment direction than the randomly distributed CNF networks and 6 orders of magnitude lower than that along the transverse direction. The unidirectional alignment of the CNF also demonstrates linear piezoresistivity behavior under small strain deformation along with high sensitivity and selectivity toward volatile organic compounds. The reported advanced manufacturing shows broad applications in microelectronics, energy transport, light composites, and multifunctional sensors.
本文报道了一种基于逐层的先进制造技术,该技术产生了一种简单、新颖且具有成本效益的方法,用于以可控图案的形式实现选择性纳米颗粒沉积和定向。三维打印图案的表面粗糙度、固液气接触线以及浸入悬浮液中的纳米颗粒相互作用决定了碳纳米纤维(CNF)的排列,而三角形凹槽的存在支持弯月面的固定,从而形成由交替的CNF和聚合物通道组成的结构。聚合物/纳米颗粒复合材料在颗粒排列方向上的电阻比随机分布的CNF网络低10倍,比横向方向低6个数量级。CNF的单向排列在小应变变形下也表现出线性压阻行为,并且对挥发性有机化合物具有高灵敏度和选择性。所报道的先进制造技术在微电子、能量传输、轻质复合材料和多功能传感器等领域具有广泛应用。