A Depth Peeling Based Algorithm to Optimize Model Orientation for 3D Printing

In order to improve the surface quality of 3D printing products and save print materials effectively, we propose a novel algorithm to optimize model orientation for Fused Deposition Modeling 3D printer. Our algo- rithm is constructed on the depth peeling technique, and a bi-objective optimization function is defined to balance the relationship between the overhangs area and the support volume of the model to be printed. We design a two-step optimization scheme to determine the optimal printing orientation by using a pattern search method. Experimental results show that, the proposed algorithm not only can calculate the overhangs area and support volume of printed model efficiently, but also can determine the optimal model orientations rapidly. Our algorithm has a competitive advantage over other existing algorithms in improving the surface quality of printed models and reducing the material consumption of support structures.