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Engineered Biomimicry

Language EnglishEnglish
E-book Adobe ePub DRM
E-book Engineered Biomimicry Akhlesh Lakhtakia
Libristo code: 39574623
Publishers Elsevier, May 2013
Engineered Biomimicry covers a broad range of research topics in the emerging discipline of biomimic... Full description
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Engineered Biomimicry covers a broad range of research topics in the emerging discipline of biomimicry. Biologically inspired science and technology, using the principles of math and physics, has led to the development of products as ubiquitous as Velcro(TM) (modeled after the spiny hooks on plant seeds and fruits). Readers will learn to take ideas and concepts like this from nature, implement them in research, and understand and explain diverse phenomena and their related functions. From bioinspired computing and medical products to biomimetic applications like artificial muscles, MEMS, textiles and vision sensors, Engineered Biomimicry explores a wide range of technologies informed by living natural systems. Engineered Biomimicry helps physicists, engineers and material scientists seek solutions in nature to the most pressing technical problems of our times, while providing a solid understanding of the important role of biophysics. Some physical applications include adhesion superhydrophobicity and self-cleaning, structural coloration, photonic devices, biomaterials and composite materials, sensor systems, robotics and locomotion, and ultra-lightweight structures. Explores biomimicry, a fast-growing, cross-disciplinary field in which researchers study biological activities in nature to make critical advancements in science and engineering Introduces bioinspiration, biomimetics, and bioreplication, and provides biological background and practical applications for each Cutting-edge topics include bio-inspired robotics, microflyers, surface modification and more

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About the book

Full name Engineered Biomimicry
Language English
Binding E-book - Adobe ePub DRM
Date of issue 2013
Number of pages 496
EAN 9780123914323
Libristo code 39574623
Publishers Elsevier
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