The geometric structure of the nasal cavity has a certain influence on the heating function. In this paper, a study with a larger sample will be conducted to investigate the differences in the heat transfer function of the nasal cavity on the breathing airflow. Nasal CT images from 40 healthy volunteers were obtained to establish 40 computational models for numerically simulating the heating function of the nasal cavity. These 40 nasal models were classified into four categories based on surface area-to-volume ratio, mean airway width, nostril size, and Intake direction. And the impact of four indicators on heating function was compared. Results: In terms of overall nasal heating function, the correlation coefficient r between surface area to volume ratio and nasal heating function was 0.639. The correlation coefficient r between average airway width and nasal heating function was − 0.572. For the anterior region of the nasal cavity heating, the correlation coefficient r of nostril size was − 0.452. There is no obvious correlation between the intake direction and the heating function, but the intake direction will affect the direction of the air flow and indirectly affect the overall heating function. Conclusion: In the overall nasal heating process, the parameters influencing heating effectiveness, in descending order, are surface area-to-volume ratio, mean airway width, nostril size, and Intake Angle size.
Yu et al. (Tue,) studied this question.