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Influence of Manufacturing Process on the Conductivity of Material Extrusion Components : A Comparison between Filament- and Granule-Based Processes

GND
1315677733
ORCID
0009-0005-8102-6898
Affiliation/Institute
Institut für Konstruktionstechnik
Nowka, Maximilian;
GND
1180416716
Affiliation/Institute
Institut für Konstruktionstechnik
Hilbig, Karl;
Affiliation/Institute
Institut für Konstruktionstechnik
Schulze, Lukas;
Affiliation/Institute
Institut für Konstruktionstechnik
Heller, Timo;
GND
1239362986
ORCID
0000-0002-3873-3184
Affiliation/Institute
Institut für Konstruktionstechnik
Goutier, Marijn;
GND
1139782940
ORCID
0000-0003-4687-681X
Affiliation/Institute
Institut für Konstruktionstechnik
Vietor, Thomas

The additive manufacturing of components using material extrusion (MEX) enables the integration of several materials into one component, including functional structures such as electrically conductive structures. This study investigated the influence of the selected additive MEX process on the resistivity of MEX structures. Specimens were produced from filaments and granules of an electrically conductive PLA and filled with carbon nanotubes and carbon black. Specimens were produced with a full-factorial variation of the input variables: extrusion temperature, deposition speed, and production process. The resistivity of the specimens was determined by four-wire measurement. Analysis of the obtained data showed that only the extrusion temperature had a significant influence on the resistivity of the MEX specimens. Furthermore, the impact of the nozzle diameter was evaluated by comparing the results of this study with those of a previous study, with an otherwise equal experimental setup. The nozzle diameter had a significant influence on resistivity and a larger nozzle diameter reduced the mean variance by an order of magnitude. The resistivity was lower for most process parameter sets. As the manufacturing process had no significant influence on the resistivity of MEX structures, it can be selected based on other criteria, e.g., the cost of feedstock.

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