基于自适应分层的3D打印成型方向优化

在3D打印中,成型方向的选择是影响产品成型质量的关键因素之一。针对目前算法仅考虑在等厚分层的前提下进行优化的问题,提出基于自适应分层的模型成型方向优化算法。首先结合3D打印层层叠加的特点,在分析不同成型方向对产品表面精度影响的基础上建立了以模型成型方向为变量、最小体积误差为目标的优化函数;然后通过STL模型的坐标变换、自适应分层等步骤并利用遗传算法在全局范围内搜索最优解,得到最佳成型方向。实验结果表明,该算法能够找到在自适应分层前提下的最佳成型方向,与现有算法相比能够进一步降低体积误差,提升表面质量。

Optimization of build orientation in 3D printing based on adaptive layering

The selection of build orientation in 3D printing is one of the key factors that affect processing quality.Aiming at the current algorithm only with consideration of the optimization on the premise of equal thickness layering,this paper proposed a build orientation optimization algorithm in terms of an adaptive layered model.Firstly,this paper analyzed the surface accuracy of products under different build orientation in combination with the characteristics of 3D printing layer by layer,and established a build orientation dependent optimization function to minimize volume error.Then,it employed the genetic algorithm to search the optimal solution in the global scope to determine optimal build orientation through steps such as STL model rotation transformation and adaptive layering.Finally,this paper conducted the comparison between proposed and published algorithm.The experimental results show that the proposed algorithm can further reduce the volume error and improve the surface quality.