基于遗传算法的快速成型分层方向优化设计

快速成型制造技术具有高度的柔性和灵活性,应用前景广泛。快速成型分层方向的选择,对于零件的制作精度、成型时间及制作成本有着重要影响。目前常见的分层方向算法往往顾此失彼,为了尽可能同时满足这3个单目标模型的最优化,本文提出将均匀设计、正交设计与遗传算法相结合作为求解多目标优化的新方法,可用较少的计算量求得分层方向的最优解。实验结果表明,改进后的算法有效,在迭代次数和所用时间上远远优于目前常用的基本算法。

Optimum Design for RP Deposition Orientation by Genetic Algorithm

Rapid Prototyping(RP) technology is very flexible and agile in advanced manufacturing,and has a wide application range.The choice of the deposition orientation in rapid prototyping has an important influence on the accuracy of the model,the building time and the prototype cost.The slicing algorithms in common use can not satisfy the above mentioned requirements.In order to simultaneously obtain optimization of three objectives,a new algorithm is proposed for the multi-objective optimization by combining the uniform design and orthogonal design with the genetic algorithm.The new algorithm can find the optimal solution with less computation.Experimental results indicate that the improved algorithm is feasible than current algorithms in iteration times and computation time.