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Micro- and Nano-Bionic Surfaces : Biomimetics, Interface Energy Field Effects, and Applications - Deyuan Zhang

Micro- and Nano-Bionic Surfaces

Biomimetics, Interface Energy Field Effects, and Applications

By: Deyuan Zhang, Yonggang Jiang, Huawei Chen, Xiangyu Zhang, Jun Cai

eBook | 28 October 2021

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Micro- and Nano-Bionic Surfaces: Biomimetics, Interface Energy Field Effects, and Applications synthesizes the latest research in bio-inspired surfaces and devices for tactile and flow field perception. The book provides solutions to common problems related to flow field/tactile perception, intelligent MEMS sensors, smart materials, material removal methods, cell/particle control methods, and micro-nano robot technology. With a heavy emphasis on applications throughout, the book starts by providing insights into biomimetic device design, outlining strategies readers can adopt for various engineering applications. From there, it introduces the controlling methods of smart materials, controlling methods from external energy input, and more.

Sections demonstrate how to solve problems of high efficiency, high quality, and low damage material removal for metals, composites, soft tissues, and other materials by applying bionic wave-motion surface characteristics. The latest theoretical and technical developments in field control methods applied to biological interfaces are also discussed, and the book concludes with a chapter on fabrication strategies to synthesize micro/nano functional particles based on bio-templates.

  • Provides an overview on the latest research in bio-inspired surfaces and devices for tactile and flow-field perception
  • Introduces techniques for characterizing different bionic surfaces and how to use energy fields analysis to treat different bionic surface and interface problems
  • Discusses the latest theoretical and experimental developments in field control and their applications in the biomedical field
  • Outlines fabrication methods and assembly and alignment processes of micro-/nano-functional particles based on microorganism templates
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