2024 Volume 41 Issue 2 Pages 207-
In the design of heat exchangers, a combination of thermal fluid simulation and various optimization methods has been studied to find a structure that satisfies trade-off performance such as heat transfer coefficient and airflow resistance. However, most of the methods reported before are methods for single-objective optimization, on the other hand, multi-objective optimization methods have problems such as reducing the number of analysis. In this report, we apply design of experiments and multiple regression analysis to find the possible range of heat transfer coefficient and airflow resistance with fewer analysis times, and devised a method to derive the optimum structure that matches the specifications from that range. Furthermore, the effectiveness of this design method was verified by applying it to the design of a flat tube heat exchanger, and how to improve
