基于图像识别仿生木纹的三维打印路径规划方法

Woodgrain Inspired 3D Printing Toolpath Planning Method Based on Image Recognition

针对传统三维打印采用的诸如网格、三角等均匀同构介观结构填充存在结构效率低、与承载零件应力场不协调等问题,受自然生长的木纹可提高木材整体性能的启发,提出基于图像识别仿生木纹的三维打印路径规划方法,旨在借鉴木材的纤维排布以改善零件的机械性能。通过木材铣削分层,依次提取各层图像木纹并生成对应打印路径,并逐层打印出仿生木纹试件。拉伸试验结果表明:相比同质量的网格填充、三角填充、直线填充三种传统均匀同构填充试件,基于仿生木纹的非均匀异构打印试件最大拉伸载荷分别提高了115.03%、72.89%、64.39%,证明了基于仿生木纹的非均匀介观填充结构能够显著提高打印件拉伸强度。

Aimed at the problems of low structural efficiency and incongruity with the stress field of bearing parts in the filling of uniform isomorphic mesoscopic structures such as grid and triangle used in traditional 3D printing,and inspired by the fact that naturally growing woodgrain can improve the overall performance of wood,a woodgrain inspired 3D printing toolpath planning method based on image recognition is proposed aiming to learn from the fiber arrangement of wood to improve the mechanical properties of parts.Through wood milling layering,the woodgrain image of each layer is extracted in turn and the corresponding printing path is generated.Then,the biomimetic woodgrain specimen is printed layer by layer.The tensile test results show that the maximum tensile load of the printed specimen based on woodgrain is increased by 115.03%,72.89%and 64.39%respectively compared with the three traditional uniform isomorphic filling specimens,i.e.,grid filling,triangular filling,and rectilinear filling.It is proved that the non-uniform heterogeneous filling structure based on biomimetic woodgrain can significantly improve the tensile strength of the printed specimen.