CHALLENGE - The airflow distribution and thermal comfort of human beings in civil aircraft cabin are influenced by many factors such as the ventilation mode, ventilation air volume, and supply air temperature and so on. Among these factors, the choice of ventilation mode in the civil aircraft cabin is also restricted by the interior and aesthetic designs.
SOLUTION - A multiple-objective optimization method is presented to search the preferred air distribution modes for civil aircraft cabin. A modeFRONTIER Genetic Algorithm is adopted to solve the time-consuming CFD optimization problem. Two interior design structures with different luggage bin and light band will be used to investigate their influence on the design of air distribution mode. In this optimization, the position of air supply inlets and the supply air angle are defined as the optimization variables. The Predicted Mean Vote (PMV) and the air age are specially chosen as the objective functions.
BENEFITS - The Pareto Optimal Frontiers (POF) can be obtained from this multi-objective optimization. The POFs can present the relationship of two objective functions. The preferred air distribution mode coupled different interior designs can be efficiently recommended from the optimization results.