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Development of Correction Factors for FDM 3D Printers: Experimental Investigation and ANN Modelling

Müller, Tobias ORCID iD icon; Elkaseer, Ahmed; Wadlinger, Janik; Salem, Mahmoud ORCID iD icon; Scholz, Steffen G. ORCID iD icon

Abstract:

While additive manufacturing is already applied in industry in different varieties, even simple and widespread techniques such as the fused filament fabrication (FFF) process are still not fully understood in terms of influence of printing parameters or part orientation on the quality of fabricated parts. A main issue for using FFF in a reliable manner is the dimensional control of printed parts in comparison to the initially planned model. In this study the influence of printing parameters, part positioning on the printing platform as well as the use of different printer models has been evaluated in order to find correction factors for an optimised FFF process for high precision parts. The investigation has been carried out with two common printing materials (ABS and PLA) and printing tests have been conducted on two different FFF printers to evaluate the influence of hardware differences. Examination of the gathered data showed a substantial scattering of measured results, making the application of correction factors difficult, but not impossible. In addition, to predict the outcome of future prints a modelling approach using an artificial neural network (ANN) algorithm is presented. ... mehr


Originalveröffentlichung
DOI: 10.1007/978-981-16-6128-0_30
Scopus
Zitationen: 3
Dimensions
Zitationen: 4
Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Karlsruhe Nano Micro Facility (KNMF)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2022
Sprache Englisch
Identifikator ISBN: 978-981-16-6128-0
ISSN: 2190-3018, 2190-3026
KITopen-ID: 1000137656
HGF-Programm 43.31.02 (POF IV, LK 01) Devices and Applications
Erschienen in Sustainable Design and Manufacturing : Proceedings of the 8th International Conference on Sustainable Design and Manufacturing (KES-SDM 2021) . Ed.: S. Scholz
Veranstaltung 8th International Conference on Sustainable Design and Manufacturing (KES-SDM 2021), Online, 15.09.2021 – 17.09.2021
Verlag Springer Singapur
Seiten 314–326
Serie Smart Innovation, Systems and Technologies ; 262
Vorab online veröffentlicht am 18.09.2021
Schlagwörter Proposal ID 2018-021-025429; 3DP
Nachgewiesen in Dimensions
Scopus
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