Abstract: The effect of part building orientation on the part’s surface quality, the needed supporting area and building time is analyzed in the processing of rapid prototyping, and their optimizing models are established. The multi-objective optimizing generic algorithm of NSGA-II based on Pareto optimal solutions are used to seek the optimum solutions. Compared with the results gained by the single-objective optimizing way, it is shown that not only the better solution is gained but also many Pareto optimal solutions can be gained in one optimizing computing by NSGA-II.

Key words: computer application, rapid prototyping, multi-objective optimizing, part building orientation, Pareto optimal solutions