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A set of novel procedures for carbon fiber reinforcement on complex curved surfaces using multi axis additive manufacturing
Citation Link: https://doi.org/10.15480/882.4381
Publikationstyp
Journal Article
Publikationsdatum
2022-06-08
Sprache
English
Institut
Enthalten in
Volume
12
Issue
12
Article Number
5819
Citation
Applied Sciences 12 (12): 5819 (2022)
Publisher DOI
Scopus ID
Publisher
Multidisciplinary Digital Publishing Institute
There has been considerable research in recent years on the additive manufacturing (AM) of carbon fiber reinforced polymer (CFRP) parts based on the process of fused deposition modeling (FDM). The currently-applied steps within the manufacturing pipeline, such as slicing and path planning, consider only the planar case of filament deposition and mostly make no use of the possibility to place single pre-impregnated (prepreg) filaments. Classical methods such as tape-laying and laminating struggle with highly curved and complex geometries and require the costly production of molds, whereas when using AM, these geometries can be realized more easily and molds can be created using the same process. In this paper, a set of algorithms is presented that aims to resolve these problems. Criteria are formulated which enable the goal oriented development and evaluation of the presented methods and represent metrics for future methods. The developed algorithms enable the use of both continuous and discontinuous fiber patches in a much wider range of applications in designing and manufacturing of CFRPs. This opens up new possibilities in this promising field. The developed metrics and infrastructure further constitute progress in the field of multi-axis non-planar path planning for slicing algorithms in general and the conducted evaluation proves the formal applicability of the developed algorithms.
Schlagworte
carbon fiber reinforced polymers
additive manufacturing
multi-axis motion
3D printing
path planning
continuous fiber composites
DDC Class
600: Technik
620: Ingenieurwissenschaften
More Funding Information
This research was funded through the I3 program (Interdisciplinary, Innovative, Engineering (German: Ingenieurwissenschaften)) of the Hamburg University of Technology.
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