Abstract
Accurate flow measurement is a ubiquitous task in fields such as industry, medical technology, or chemistry; it remains however challenging due to small measurement ranges or erosive flows. Inspiration for possible measurement methods can come from nature, for example from the lateral line organ of fish, which is comprised of hair cells embedded in a gelatinous cupula. When the cupula is deflected by water movement, the hair cells generate neural signals from which the fish gains an accurate representation of its environment. We built a flow sensor mimicking a hair cell, but coupled it with an optical detection method. Light is coupled into a PDMS waveguide that consists of a core and a cladding with a low refractive index contrast to ensure high bending sensitivity. Fluid flow bends the waveguide; this leads to a measurable light loss. The design of our sensory system allows flow measurement in opaque and corrosive fluids while keeping production costs low. To prove the measurement concept, we evaluated the light loss while (a) reproducibly bending the fiber with masses, and (b) exposing the fiber to air flow. The results demonstrate the applicability of an optical fiber as a flow sensor.
Highlights
In biomimetics, natural structures are first analyzed in depth and an abstract description is developed to translate the biological concepts to the target discipline
We focused on on increasing increasing the robustness of the sensors and, our sensor system is optimized for flow measurements the robustness of the sensors and, our sensor system is optimized for flow measurements in PDMS sensor sensor fiber fiber can can be be removed removed from from the the setup setup in tubes tubes with with aa diameter diameter of of 30
The average light loss was calculated for each bending mass, which is sensitivity of the sensor
Summary
Natural structures are first analyzed in depth and an abstract description is developed to translate the biological concepts to the target discipline. Animals, and microbes are adapted to their respective ecological niches. The strategies that can be observed in nature today have prevailed for a long time and have been tested thoroughly. Understanding these strategies and applying them in problem-solving processes may help to develop novel technologies and to optimize existing ones [1,2]. A model of flow sensing, for example, can be found underwater. All fish and amphibians living permanently in water have a lateral line organ, which detects water disturbances and provides
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