Biomimetic Microsensors Inspired by Marine Life

This book narrates the development of various biomimetic microelectromechanical systems (MEMS) sensors, such as pressure, flow, acceleration, chemical, and tactile sensors, that are inspired by sensing phenomena that exist in marine life. The research described in this book is multi-faceted and combines the expertise and understanding from diverse fields, including biomimetics, microfabrication, sensor engineering, MEMS design, nanotechnology, and material science. A series of chapters examine the design and fabrication of MEMS sensors that function on piezoresistive, piezoelectric, strain gauge, and chemical sensing principles. By translating nature-based engineering solutions to artificial man-made technology, we can find innovative solutions to critical problems.

Looks beyond traditional engineering domains to find inspiration for novel sensor designs that would provide enhanced control and energy-efficient maneuvering of underwater vehicles Summarizes a complex and multi-disciplinary field which attracts a diverse range of audiences, including material scientists, mechanical engineers, and biologists Methodically elucidates the biological principles, material fabrication, and experimental techniques involved in testing sensors for real-life sensing scenarios in a marine environment Includes supplementary material: sn.pub/extras

Autorentext

Ajay Kottapalli is a postdoctoral associate at the Center for Environmental Sensing and Modeling (CENSAM) division of the Singapore-MIT Alliance for Research and Technology (SMART). His research interests include bioinspired and biomimetic MEMS, polymer MEMS flow sensors, and bio-MEMS. A graduate of Nanyang Technological University in Singapore and the Indian Institute of Technology, Madras, he has coauthored several articles on biomimetic sensors and related topics.

Inhalt

Lateral-Line Inspired MEMS Neuromast Sensors.- Biological Olfaction Inspired Chemical Sensors.- Bio-inspired Underwater Active and Passive Sensing.- Sensing on Robots Inspired by Nature.