TY - GEN
T1 - Self-powered sensing system for the monitoring of quasi-static structural response
AU - Lajnef, Nizar
AU - Burgueño, Rigoberto
AU - Chakrabartty, Shantanu
AU - Borchani, Wassim
PY - 2013
Y1 - 2013
N2 - Many signals of interest in the assessment of structural systems lie in the quasi-static range (frequency << 1Hz). This poses a significant challenge for the development of self-powered sensors that are required not only to monitor these events but also to harvest the energy for sensing, computation and storage from the signal being monitored. This paper combines the use of mechanically-equivalent frequency modulators and piezo-powered threshold detection modules capable of computation and data storage with a total current less than 10nA. The system is able to achieve events counting for input deformations at frequencies lower than 0.1Hz. The used mechanically-equivalent frequency modulators allow the transformation of the low-amplitude and low-rate quasi-static deformations into an amplified input to a piezoelectric transducer. The sudden transitions in unstable mode branch switching, during the elastic postbuckling response of slender columns and plates, are used to generate high-rate deformations. Experimental results show that an oscillating semi-crystalline plastic polyvinylidene fluoride (PVDF), attached to the up-converting modules, is able to generate a harvestable energy at levels between 0.8μJ to 2μJ. In this work, we show that a linear injection response of our combined frequency up-converter / piezo-floating-gate sensing system can be used for self-powered measurement and recording of quasi-static deformations levels. The experimental results demonstrate that a sensor fabricated in a 0.5-μm CMOS technology can count and record the number of quasi-static input events, while operating at a power level significantly lower than 1μW.
AB - Many signals of interest in the assessment of structural systems lie in the quasi-static range (frequency << 1Hz). This poses a significant challenge for the development of self-powered sensors that are required not only to monitor these events but also to harvest the energy for sensing, computation and storage from the signal being monitored. This paper combines the use of mechanically-equivalent frequency modulators and piezo-powered threshold detection modules capable of computation and data storage with a total current less than 10nA. The system is able to achieve events counting for input deformations at frequencies lower than 0.1Hz. The used mechanically-equivalent frequency modulators allow the transformation of the low-amplitude and low-rate quasi-static deformations into an amplified input to a piezoelectric transducer. The sudden transitions in unstable mode branch switching, during the elastic postbuckling response of slender columns and plates, are used to generate high-rate deformations. Experimental results show that an oscillating semi-crystalline plastic polyvinylidene fluoride (PVDF), attached to the up-converting modules, is able to generate a harvestable energy at levels between 0.8μJ to 2μJ. In this work, we show that a linear injection response of our combined frequency up-converter / piezo-floating-gate sensing system can be used for self-powered measurement and recording of quasi-static deformations levels. The experimental results demonstrate that a sensor fabricated in a 0.5-μm CMOS technology can count and record the number of quasi-static input events, while operating at a power level significantly lower than 1μW.
UR - http://www.scopus.com/inward/record.url?scp=84896363638&partnerID=8YFLogxK
U2 - 10.1115/SMASIS2013-3197
DO - 10.1115/SMASIS2013-3197
M3 - Conference contribution
AN - SCOPUS:84896363638
SN - 9780791856048
T3 - ASME 2013 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2013
BT - Mechanics and Behavior of Active Materials; Structural Health Monitoring; Bioinspired Smart Materials and Systems; Energy Harvesting
PB - American Society of Mechanical Engineers
T2 - ASME 2013 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS 2013
Y2 - 16 September 2013 through 18 September 2013
ER -