Publication Date
1-1-2024
Document Type
Conference Proceeding
Publication Title
Procedia CIRP
Volume
126
DOI
10.1016/j.procir.2024.08.270
First Page
633
Last Page
638
Abstract
The objective of this study was to improve the geometrical accuracy and productivity of extrusion-based additive manufacturing processes. Four algorithms were developed to adaptively change the track width in each layer (i.e., adaptive rastering); optimize the rastering orientation for each layer; adaptively change the layer thickness (i.e., adaptive slicing); and optimize the overall orientation of part. These algorithms were implemented in a commercial 3D printer and several case-studies were conducted to examine their efficacy (individually and combined). The results were compared with standard tool path planning software and indicated a significant improvement in both geometrical accuracy and productivity.
Keywords
3D orientation optimization, 3D printing, Adaptive rastering, Adaptive slicing, Additive manufacturing, Raster orientation optimization
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Department
Mechanical Engineering
Recommended Citation
Robert Ehlers and Amir Armani. "Optimal tool path for extrusion-based additive manufacturing to improve geometrical accuracy and productivity" Procedia CIRP (2024): 633-638. https://doi.org/10.1016/j.procir.2024.08.270