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Geometrical-based Simulation of Drop-on-Demand 3D Inkjet Printing

Elkaseer, Ahmed; Schneider, Stella; Scholz, Steffen ORCID iD icon

Abstract (englisch):

As additive manufacturing has evolved, 3D inkjet printing (IJP) has become a promising alternative manufacturing method able to manufacture functional multi-material parts in a single process. However, issues with part quality in terms of dimensional errors and lack of precision still restrict its industrial and commercial applications. This study aims at improving the dimensional accuracy of 3D IJP parts by developing an optimization-oriented simulation tool of droplet behaviour during the drop-on-demand 3D IJP process. The simulation approach takes into consideration the effect of droplet volume, resolution of processed TIFF image, contact angle of the ink on the solid substrate and coalescence performance of overlapping droplets, in addition to the number of printed layers. Following the development of the simulation tool using MATLAB, its feasibility was validated using already printed parts. The simulation results are found to be in a good agreement with the dimensions of the printed parts. The developed tool was then used to elucidate the effect of resolution of processed TIFF image and droplet diameter on the dimensional accuracy of 3D IJP parts.

Zugehörige Institution(en) am KIT Institut für Automation und angewandte Informatik (IAI)
Karlsruhe Nano Micro Facility (KNMF)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 22.09.2021
Sprache Englisch
Identifikator KITopen-ID: 1000138824
HGF-Programm 43.31.02 (POF IV, LK 01) Devices and Applications
Erschienen in Proceedings of the World Congress on Micro and Nano Manufacturing 2021: bringing together the worldwide community of micro- & nano-manufacturing experts, 20-23 September 2021, IIT Bombay, Mumbai, India
Veranstaltung World Congress on Micro and Nano Manufacturing (WCMNM 2021), Online, 21.09.2021 – 23.09.2021
Externe Relationen ResearchGate
Schlagwörter Proposal ID: 2020-024-028929; 3DP
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