Appromating the temperatures profiles for human skin tissue layers during heat wave using finite difference method
Abstract
In 2016, Malaysia was stricken by a bad heat wave. Since today, there were no study
yet on the effect of heat wave in Malaysia to human skin tissue layers. Therefore this
study presents a Finite Difference Method application to the thermal study of three
layers of human skin tissue namely epidermis, dermis and subcutaneous tissue. Pennes’
bioheat equation used to represent the thermal distribution in human skin tissue layers.
It is assumed that the surface of the skin expose to different surrounding temperature.
Finite difference method is used to approximate the temperatures profiles for human
skin tissue layers with the help of MATLAB software. The calculation showed an
expected result which is surrounding temperature does effect the temperature
distribution in human skin tissue layers. At each 10℃ increase in surrounding
temperature, the temperature in epidermis, dermis and subcutaneous tissue will increase
around 0.9℃, 0.8℃ and 0.4℃, respectively.In 2016, Malaysia was stricken by a bad heat wave. Since today, there were no study
yet on the effect of heat wave in Malaysia to human skin tissue layers. Therefore this
study presents a Finite Difference Method application to the thermal study of three
layers of human skin tissue namely epidermis, dermis and subcutaneous tissue. Pennes’
bioheat equation used to represent the thermal distribution in human skin tissue layers.
It is assumed that the surface of the skin expose to different surrounding temperature.
Finite difference method is used to approximate the temperatures profiles for human
skin tissue layers with the help of MATLAB software. The calculation showed an
expected result which is surrounding temperature does effect the temperature
distribution in human skin tissue layers. At each 10℃ increase in surrounding
temperature, the temperature in epidermis, dermis and subcutaneous tissue will increase
around 0.9℃, 0.8℃ and 0.4℃, respectively.