Abstract
In this study, we constructed an automatic optimization system applying the multi-objective genetic algorithm(MOGA)and developed an artificial lung possessing high gas exchange performance based upon fluid dynamics. The system consists of a three dimensional CAD system, computational fluid dynamic software and the optimization tool. We set the objectives to minimize the priming volume, to minimize the volume of the low flow region and to minimize standard deviation of the flow rate in the fiber bundle. The optimum designs were manufactured using a rapid prototyping system and were examined by evaluating gas exchange performance in in-vitro experiments. At the results, oxygen transfer rate increased by average of 18%, also, carbon dioxide transfer rate increased by an average of 40.5% when compared with the original design. The results suggest that the system was not only effective for reducing time, cost and labor of developing artificial organs but was also useful as a design and developing support system.
