Optical microscopy and confocal data of aerosol jet printed lines over a 16-hour print duration

• Published in: Data in brief 2022-06, Vol.42, p.108080-108080, Article 108080
• Main Authors: Yoo, David, Mahoney, Clare M., Deneault, James R., Grabowski, Christopher, Austin, Drake, Berrigan, J. Daniel, Glavin, Nicholas, Buskohl, Philip R.
• Format: Article
• Language: English
• Subjects: Data
• ISSN: 2352-3409; 2352-3409
• DOI: 10.1016/j.dib.2022.108080

Optical microscopy images and confocal data for Aerosol Jet Printed (AJP) lines over a 16 hour print duration is provide in this dataset (“Mapping Drift in Morphology and Electrical Performance in Aerosol Jet Printing” [1]). Lines were uninterruptedly printed by AJP on a glass substrate using silver nanoparticle ink over a 16-hour time frame. The ink used for this experiment was a 0.6:0.3:0.2 mL mixture of Clariant Prelect TPS 50 G2 silver nanoparticle ink, ethylene glycol, and deionized water, respectively. Deposition was achieved with an Optomec AJ 300-UP Aerosol JetTM Deposition System using a Sprint Series Ultrasonic Atomizer MAX, aerodynamic filtering, and a nozzle having an orifice diameter of 150 µm. The typical focus ratio of 1.75 within standard range was used. The optical microscopic images of 350 µm AJP printed lines at 80 different time points were then selectively collected. Keyence VK-X200 with 150x magnification was used, which provided 50 µm to 267 pixel resolution image with more than 1000 cross-sections at each time point. Filtering of the pixels with outlying heights was performed with a multi-file analyzer. The dataset was primarily collected to understand system-level, temporal drifts in print morphology, which would further allow to predict electrical performance in time domain. Additional purposes for the dataset include: 1) benchmark dataset for morphology and print performance between AJP systems and print settings, 2) test data for new image filtering, segmentation, and classification algorithms and 3) baseline training data for real-time, in situ classification of operational time windows for AJP feedback control.