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"Low-Frequency Geometries for MEMS Vibrational Energy Harvesting"
(Seminar/Conference)
seminar by M. Amin Karami, ICTAS Doctoral Scholar
Self sufficient sensor nodes can be utilized in intelligent monitoring systems for health monitoring of machinery and infrastructure. The applications require placing the sensor nodes in hard to reach places which make changing their batteries a cumbersome and expensive task. MEMS vibrational energy harvesting devices are micro scale instruments which can harvest energy from the ambient vibrational energy available in the environment to power the sensor nodes. A key challenge in developing MEMS vibrational energy harvesting devices is to make them resonate at low frequency ambient vibrations. The talk discusses two new compact geometries developed which can significantly reduce the natural frequencies of harvesting structures to the useful range. The vibrations of these geometries have been analytically modeled. Some experiments have been performed which confirm the model. The talk also discusses implications of the results in designing MEMS energy harvesters.
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540-231-1929