Английски език
This interdisciplinary book synthesizes the latest research in bio-inspired surfaces and devices for tactile and flow field perception while also providing insight on new sensing mechanisms in biology and the influence of surface energy dissipation. It 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 insight 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 the interaction between external energy and materials. It demonstrates 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 discussed, and the book concludes with a chapter on fabrication strategies to synthesize micro/nano functional particles based on bio-templates. Researchers can directly use the energy field induced alignment methods for ordered fabrication of micro/nano functional particles as well as design functional composites based on bio-templated micro/nano particles. Provides an overview of the latest research in bio-inspired surfaces and devices for tactile and flow-field perceptionIntroduces techniques for characterizing different bionic surfaces and how to use energy fields analysis to treat different bionic surface and interface problemsDiscusses the latest theoretical and experimental developments in field control and their applications in the biomedical fieldOutlines fabrication methods and assembly and alignment processes of micro-/nano-functional particles based on microorganism templates
