Applied Mathematics

Volume 9, Issue 9 (September 2018)

ISSN Print: 2152-7385   ISSN Online: 2152-7393

Google-based Impact Factor: 0.58  Citations  

Reconstruct the Heat Conduction Model with Memory Dependent Derivative

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DOI: 10.4236/am.2018.99072    962 Downloads   2,038 Views  Citations

ABSTRACT

The classical heat conduction equation is derived from the assumption that the temperature increases immediately after heat transfer, but the increase of temperature is a slow process, so the memory-dependent heat conduction model has been reconstructed. Numerical results show that the solution of the initial boundary value problem of the new model is similar to that of the classical heat conduction equation, but its propagation speed is slower than that of the latter. In addition, the propagation speed of the former is also affected by time delay and kernel function.

Share and Cite:

Sun, W. and Wang, J. (2018) Reconstruct the Heat Conduction Model with Memory Dependent Derivative. Applied Mathematics, 9, 1072-1080. doi: 10.4236/am.2018.99072.

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