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摘 要：为了实现熔融沉积快速成型（FDM）中零件成型精度和成型效率的协同优化，基于零件成型方向对成型精度和成型效率的影响进行分析，以体积误差最小、零件成型方向上高度最低以及所需支撑体积最小为目标，建立了零件成型方向的多目标优化模型。设计了基于非支配排序遗传算法的智能求解算法，通过对模型的优化计算得到零件成型方向的Pareto解集，实现了FDM零件成型方向的智能优化。最后通过实例验证了所建模型的正确性与算法的有效性。
关 键 词：快速成型；成型方向；遗传算法；多目标优化
Abstract: In order to optimize accuracy and efficiency in fused deposition modeling (FDM), effect of the building orientation on part?s accuracy and efficiency is analyzed; meanwhile, three optimization models of part's building orientation, i.e. volume error, height of parts in its building orientation, and support volume are established. A non dominated sorting genetic algorithm is designed to seek the Pareto optimal solutions of any complex model intelligently. Finally, the correctness of the proposed model and the efficiency of the algorithm are carried out based on two instances case study.#br# Key words: rapid prototyping; building orientation; genetic algorithm; multi-objective optimization
