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Research Article | Open Access |

Modelling of Thermal Storage in Damaged Composite Structures using Time Displaced Gradient Field Technique (TDGF)

Author 1: Mahmoud Zaki Iskandarani
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 9, No. 6 · Published 2018

DOI: https://doi.org/10.14569/IJACSA.2018.090608

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Abstract

This paper presents a new approach to composite surface characterization using Gradient Field time displacement. The new technique employs calculation of thermally charged regions within a composite structure as a result of each area gradient and then correlates the regions (storage areas) using a time displaced (Lag) model. The resulting data show that a rate-dependent model is fit to describe the behavior of damaged areas within a composite structure, which act as energy storage elements. The rate of dissipation of stored energy per region contributes to the shape and area of the resulting correlated Lag curve.

Keywords

Gradient norm edge detection gray level mapping segmentation rate-dependent lag thermal images

How to Cite this Article

Iskandarani, M. Z. (2018). Modelling of Thermal Storage in Damaged Composite Structures using Time Displaced Gradient Field Technique (TDGF). International Journal of Advanced Computer Science and Applications, 9(6). https://doi.org/10.14569/IJACSA.2018.090608

Iskandarani, Mahmoud Zaki. "Modelling of Thermal Storage in Damaged Composite Structures using Time Displaced Gradient Field Technique (TDGF)." International Journal of Advanced Computer Science and Applications, vol. 9, no. 6, 2018, https://doi.org/10.14569/IJACSA.2018.090608.

@article{Iskandarani2018,
  title     = {Modelling of Thermal Storage in Damaged Composite Structures using Time Displaced Gradient Field Technique (TDGF)},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {9},
  number    = {6},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Mahmoud Zaki Iskandarani},
  doi       = {10.14569/IJACSA.2018.090608},
  url       = {https://doi.org/10.14569/IJACSA.2018.090608}
}

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