4.7 Article

Thermoelastic Analysis of Functionally Graded Nanobeams via Fractional Heat Transfer Model with Nonlocal Kernels

期刊

MATHEMATICS
卷 10, 期 24, 页码 -

出版社

MDPI
DOI: 10.3390/math10244718

关键词

non-homogeneous beams; nonlocal kernels; fractional thermoelasticity; MGT model; heat flow

资金

  1. Deputyship for Research and Innovation, Ministry of Education, Saudi Arabia
  2. [QU-IF-4-5-1-29618]

向作者/读者索取更多资源

The small size and clever design of nanoparticles lead to enhanced properties. This research investigates the vibration of a nanobeam under time-varying heat flow and proposes a nonlocal modified thermoelasticity theory to improve its strength.
The small size and clever design of nanoparticles can result in large surface areas. This gives nanoparticles enhanced properties such as greater sensitivity, strength, surface area, responsiveness, and stability. This research delves into the phenomenon of a nanobeam vibrating under the influence of a time-varying heat flow. The nanobeam is hypothesized to have material properties that vary throughout its thickness according to a unique exponential distribution law based on the volume fractions of metal and ceramic components. The top of the FG nanobeam is made entirely of ceramic, while the bottom is made of metal. To address this issue, we employ a nonlocal modified thermoelasticity theory based on a Moore-Gibson-Thompson (MGT) thermoelastic framework. By combining the Euler-Bernoulli beam idea with nonlocal Eringen's theory, the fundamental equations that govern the proposed model have been constructed based on the extended variation principle. The fractional integral form, utilizing Atangana-Baleanu fractional operators, is also used to formulate the heat transfer equation in the suggested model. The strength of a thermoelastic nanobeam is improved by performing detailed parametric studies to determine the effect of many physical factors, such as the fractional order, the small-scale parameter, the volume fraction indicator, and the periodic frequency of the heat flow.

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