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Dot-by-dot printing of capacitors by LIFT

Lux, Stefan Joachim ORCID iD icon 1; Breitling, Frank 1; Simha, Ajeya R. [Hrsg.] 1; Kuznetsova, Nadezda [Hrsg.]
1 Institut für Mikrostrukturtechnik (IMT), Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

Capacitors play a crucial role in modern electronics as they are widely employed for energy storage, signal processing, radiofrequency tuning and matching, and signal filtering. This paper presents a novel approach to chip-scale capacitor fabrication utilizing the laser-induced forward transfer (LIFT) technique, a versatile 3D printing method that offers a flexible and cost-effective alternative to conventional manufacturing processes. Plate capacitors were fabricated through dot-by-dot printing of titanium di-oxide and silver paste layers, and their performance evaluated. Optimal dot circularity at a diameter of 130 μm were achieved with printing parameters of 120 mW for 4 ms, with no noticeable surface defects. Using smaller dots enabled higher resolution, but this compromised the quality of the printed surface. The fabricated capacitors demonstrated a mean capacity of 40.1 pF ± 2.2 pF at 100 MHz, making them suitable also for high frequency applications. The resistivity of the printed silver tracks was 1.25 × 10−7 Ω m, measured over 16 structures, and closely matched the manufacturer’s specifications for the silver ink. The achieved resolution from the dot-by-dot method used in this paper provided greater flexibility in transfer in comparison to previously reported results using a square-shaped transfer
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Zugehörige Institution(en) am KIT Institut für Mikrostrukturtechnik (IMT)
Publikationstyp Forschungsdaten
Publikationsdatum 07.10.2024
Erstellungsdatum 01.03.2021 - 30.09.2024
Identifikator DOI: 10.35097/3bcvm3bmt8ttu0zu
KITopen-ID: 1000174628
Lizenz Creative Commons Namensnennung 4.0 International
Projektinformation NANOSTACKS (EU, H2020, 951949)
Schlagwörter Capacitor, Laser Induced Forward Transfer, LIFT, rapid prototyping
Liesmich

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Art der Forschungsdaten Dataset
Referent/Betreuer Gerrit Korvink, Jan
Mager, Dario
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