Peridynamics for predicting thermal expansion coefficient of graphene

Erdogan Madenci, Atila Barut, Mehmet Dorduncu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This study presents an investigation of thermal fluctuations of a graphene layer by using peridynamics (PD). The stored energy in the graphene layer due to the fluctuations is expressed in a quadratic form in terms of the stiffness matrix under von Karman assumptions. The Gibbs free energy of the graphene layer related to the partition function is calculated using the Gaussian integrals. However, the partition function requires the evaluation of the determinant of stiffness matrix appearing in the energy expression. Although conceptually very attractive, computing the determinant of an extremely large stiffness matrix whose size is dictated by the characteristic length scale poses computational challenges. Therefore, the PD form of the stiffness matrix is constructed by using two levels of discretization in order to evaluate its determinant accurately without any computational challenges. The derivatives of the partition function permit the determination of several thermodynamic quantities such as the thermal expansion coefficient and its dependence on temperature. This approach enables the exploration of the effect of different geometries, boundary conditions and the nature of loading conditions as well as heterogeneous material properties on the fluctuations.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE 69th Electronic Components and Technology Conference, ECTC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages825-833
Number of pages9
ISBN (Electronic)9781728114989
DOIs
StatePublished - May 1 2019
Event69th IEEE Electronic Components and Technology Conference, ECTC 2019 - Las Vegas, United States
Duration: May 28 2019May 31 2019

Publication series

NameProceedings - Electronic Components and Technology Conference
Volume2019-May
ISSN (Print)0569-5503

Conference

Conference69th IEEE Electronic Components and Technology Conference, ECTC 2019
CountryUnited States
CityLas Vegas
Period5/28/195/31/19

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Keywords

  • Graphene
  • Partition function
  • Peridynamics
  • Thermal expansion coefficient

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

Cite this

Madenci, E., Barut, A., & Dorduncu, M. (2019). Peridynamics for predicting thermal expansion coefficient of graphene. In Proceedings - IEEE 69th Electronic Components and Technology Conference, ECTC 2019 (pp. 825-833). [8811213] (Proceedings - Electronic Components and Technology Conference; Vol. 2019-May). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECTC.2019.00130