Abstract
The design of air distribution system in a submarine submerged for long periods often faces many constraint conditions. In order to optimize its cabin airflow field, a full-scale experimental bedroom cabin with three three-layer beds was built, and a Flow Visualization with Green Laser (FVGL) method was used to evaluate two types of air distribution mode. Experimental results show that Mode 2 with six individual air vents for lower beds could improve the air quality and heat sensation at lower beds. However, its strong sensation of draft at upper beds could not be avoided. In order to solve this problem, a multi-objective optimal method was built to search the optimal positions of top diffusors. Air age and Predicted Mean Vote (PMV) were chosen as the objective functions. The Micro-Genetic Algorithm (Micro-GA) was used in the presented optimization method to obtain the Pareto-Optimal Front (POF). Finally, the preferred positions of top diffusors can be determined from the POF.
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