Novel Support Structure Generation for 3D Printing
Researchers at Purdue University have developed a method to reduce the volume of support structures required by 3D printers based on common Fused Deposition Modeling (FDM) technology. While reducing the necessary volume of support material, this method does not compromise the structural integrity of the final product in any way. Using this approach, the input 3D model is first oriented into a position that requires minimum support. Then the points on the input that require support are detected. For those points, the supporting structure is progressively built while attempting to minimize the overall volume of the support structure. The resulting structure has a tree-like shape that effectively supports the overhangs. The algorithm has been tested on MakerBot 3D printers and results were compared to existing software solutions from 3D printing. Results showed that this technology reduced print time by an average of 29.4 percent and the amount of material by 40.5 percent.
Reduces print time Reduces amount of material
Manufacturers of 3D printers
Bedrich BenesPurdue Computer Graphics Technology
美国
