Prediction of drop-on-demand (DOD) pattern size in pulse voltage-applied electrohydrodynamic (EHD) jet printing of Ag colloid ink

Jaehong Park, Beomsoo Kim, Sang Yoon Kim, Jungho Hwang

Research output: Contribution to journalArticle

20 Citations (Scopus)


Drop-on-demand printing is receiving a great deal of interest in industrial applications; however, the desired pattern sizes are realized by trial and error, through repeated printing experiments with varied materials (ink and suspended particles), operating conditions (voltage, flow rate, nozzle-to-plate distance, etc.), and substrate wettability. Since this approach requires a great deal of time, cost, and effort, a more convenient and efficient method that will predict pattern sizes with a minimal number of experiments is needed. In this study, we patterned a series of Ag dots and lines using a pulsed voltage-applied electrohydrodynamic jet printing system and measured their sizes with an optical microscope. We then applied a model suggested by Stringer and Derby (J Eur Ceram Soc 29:913–918, 2009) and Gao and Sonin (Proc R Soc Lond Ser A 444:533–554, 1994) to predict the pattern sizes, comparing these predictions with the measured sizes. Finally, we demonstrated our methodology on disconnected line repairing.

Original languageEnglish
Pages (from-to)2225-2234
Number of pages10
JournalApplied Physics A: Materials Science and Processing
Issue number4
Publication statusPublished - 2014 Nov 18


All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Materials Science(all)

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