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Analysis of Temperature Impacts on Material-Dependent Thermoelastic Damping in Simply Supported Rectangular Microplate Resonators Applying Size Effects

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Computer Networks, Big Data and IoT

Abstract

In vibrating structures like resonators, various intrinsic and extrinsic energy dissipation mechanisms exist which limit the maximum achievable quality factor. Among the different types of energy losses, damping caused by thermoelastic effect is a crucial mechanism which arises due to the interaction among thermal and mechanical fields. Thermoelastic damping (TED) limits the maximum attainable quality factor (QTED), and coupling between the strain and temperature fields varies with temperature. In this paper, the effects of temperature on energy dissipation due to TED in a simply supported rectangular microplate resonator is analyzed. When the devices are downsized, size effects should be incorporated, and instead of classical elasticity theories, modified couple stress theory (MCST) is applied to investigate the energy dissipations. The impact of temperature on energy dissipation with and without size effects is investigated by incorporating a length scale parameter (l) which is made dimensionless by dividing it by the plate thickness (l/h). The influence of temperature on QTED in rectangular microplates with and without size effects is analyzed using various structural materials (polySi, SiC, GaAs, diamond, and Si). The thermoelastic energy dissipation seems to be increased with rise in temperature, and with the incorporation of size scaling, owing to the impact of dimensionless length scale parameter, even at elevated temperatures, high QTED is achieved. Thermoelastic energy dissipation in rectangular plate is analyzed by pertaining MCST, and the impact of temperature on energy loss with size effects using l/h is numerically simulated using MATLAB 2015.

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Resmi, R., Babu, V.S., Baiju, M.R. (2022). Analysis of Temperature Impacts on Material-Dependent Thermoelastic Damping in Simply Supported Rectangular Microplate Resonators Applying Size Effects. In: Pandian, A.P., Fernando, X., Haoxiang, W. (eds) Computer Networks, Big Data and IoT. Lecture Notes on Data Engineering and Communications Technologies, vol 117. Springer, Singapore. https://doi.org/10.1007/978-981-19-0898-9_48

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  • DOI: https://doi.org/10.1007/978-981-19-0898-9_48

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  • Online ISBN: 978-981-19-0898-9

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