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Article

Assessing the Relationships between Interdigital Geometry Quality and Inkjet Printing Parameters

1
Industrial Engineering Department, University of Bologna, 40136 Bologna, Italy
2
Consiglio Nazionale delle Ricerche, Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing, 20133 Milan, Italy
*
Author to whom correspondence should be addressed.
Micromachines 2022, 13(1), 57; https://doi.org/10.3390/mi13010057
Submission received: 6 December 2021 / Revised: 27 December 2021 / Accepted: 27 December 2021 / Published: 30 December 2021
(This article belongs to the Special Issue Micro and Nano Manufacturing (WCMNM 2021))

Abstract

Drop on demand (DoD) inkjet printing is a high precision, non-contact, and maskless additive manufacturing technique employed in producing high-precision micrometer-scaled geometries allowing free design manufacturing for flexible devices and printed electronics. A lot of studies exist regarding the ink droplet delivery from the nozzle to the substrate and the jet fluid dynamics, but the literature lacks systematic approaches dealing with the relationship between process parameters and geometrical outcome. This study investigates the influence of the main printing parameters (namely, the spacing between subsequent drops deposited on the substrate, the printing speed, and the nozzle temperature) on the accuracy of a representative geometry consisting of two interdigitated comb-shape electrodes. The study objective was achieved thanks to a proper experimental campaign developed according to Design of Experiments (DoE) methodology. The printing process performance was evaluated by suitable geometrical quantities extracted from the acquired images of the printed samples using a MATLAB algorithm. A drop spacing of 140 µm and 170 µm on the two main directions of the printing plane, with a nozzle temperature of 35 °C, resulted as the most appropriate parameter combination for printing the target geometry. No significant influence of the printing speed on the process outcomes was found, thus choosing the highest speed value within the investigated range can increase productivity.
Keywords: additive manufacturing; inkjet printing; interdigitated electrodes; image processing; Design of Experiment additive manufacturing; inkjet printing; interdigitated electrodes; image processing; Design of Experiment

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MDPI and ACS Style

Bertolucci, F.; Berdozzi, N.; Rebaioli, L.; Patil, T.; Vertechy, R.; Fassi, I. Assessing the Relationships between Interdigital Geometry Quality and Inkjet Printing Parameters. Micromachines 2022, 13, 57. https://doi.org/10.3390/mi13010057

AMA Style

Bertolucci F, Berdozzi N, Rebaioli L, Patil T, Vertechy R, Fassi I. Assessing the Relationships between Interdigital Geometry Quality and Inkjet Printing Parameters. Micromachines. 2022; 13(1):57. https://doi.org/10.3390/mi13010057

Chicago/Turabian Style

Bertolucci, Federico, Nicolò Berdozzi, Lara Rebaioli, Trunal Patil, Rocco Vertechy, and Irene Fassi. 2022. "Assessing the Relationships between Interdigital Geometry Quality and Inkjet Printing Parameters" Micromachines 13, no. 1: 57. https://doi.org/10.3390/mi13010057

APA Style

Bertolucci, F., Berdozzi, N., Rebaioli, L., Patil, T., Vertechy, R., & Fassi, I. (2022). Assessing the Relationships between Interdigital Geometry Quality and Inkjet Printing Parameters. Micromachines, 13(1), 57. https://doi.org/10.3390/mi13010057

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