Cancer is a growing concern in Malaysia, with a significant increase in the number of breast cancer cases and deaths from 2007 to 2016. This study used computational fluid dynamics (CFD) to analyse heat application in breast tissue models by examining three tumour stages at 40°C, 45°C, 50°C, 55°C, and 60°C. The simulation was conducted using several models such as the energy equation, the k-epsilon viscous model, and the radiation surface-to-surface model. The SIMPLE method was used to solve the equations in this simulation. Findings reveal that larger tumours exhibit reduced heat penetration owing to their size, while smaller tumours, with higher surface-to-volume ratios, respond better to heat. The heat transfer coefficient increases with tumour size due to a greater surface area. Optimal treatment temperatures are identified between 40°C and 45°C, effectively treating tumours without harming healthy tissue. The Specific Absorption Rate (SAR) is a measure of the energy deposited in body tissues upon exposure to radiofrequency (RF) electromagnetic. The result showed that with an increase in the size and number of tumours, the SAR values increased. This result indicates that large tumours can absorb more energy, resulting in high SAR values. This trend was similar at all tested temperatures, thus indicating relation of characteristics of the tumours to their ability to absorb energy. In conclusion, this study successfully examined various models representing different stages of malignant breast tumours. This study investigated heat propagation and evaluated SAR values, providing insights into how tumour size and number affect energy absorption.
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