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Statistical analysis of E-jet print parameter effects on Ag-nanoparticle ink droplet size

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Statistical analysis of E-jet print parameter effects on Ag-nanoparticle ink droplet size. / Laurila, M. M.; Khorramdel, B.; Dastpak, A.; Mäntysalo, M.

In: Journal of Micromechanics and Microengineering, Vol. 27, No. 9, 095005, 02.08.2017.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

Laurila, MM, Khorramdel, B, Dastpak, A & Mäntysalo, M 2017, 'Statistical analysis of E-jet print parameter effects on Ag-nanoparticle ink droplet size', Journal of Micromechanics and Microengineering, vol. 27, no. 9, 095005. https://doi.org/10.1088/1361-6439/aa7a71

APA

Vancouver

Laurila MM, Khorramdel B, Dastpak A, Mäntysalo M. Statistical analysis of E-jet print parameter effects on Ag-nanoparticle ink droplet size. Journal of Micromechanics and Microengineering. 2017 Aug 2;27(9). 095005. https://doi.org/10.1088/1361-6439/aa7a71

Author

Laurila, M. M. ; Khorramdel, B. ; Dastpak, A. ; Mäntysalo, M. / Statistical analysis of E-jet print parameter effects on Ag-nanoparticle ink droplet size. In: Journal of Micromechanics and Microengineering. 2017 ; Vol. 27, No. 9.

Bibtex - Download

@article{bfbd984564a24ac99308d4efd8a4b241,
title = "Statistical analysis of E-jet print parameter effects on Ag-nanoparticle ink droplet size",
abstract = "In this paper, we have studied the print parameter effects on electrohydrodynamic inkjet (E-jet) resolution using statistical analysis. In order to make the E-jet manufacturing process feasible, the effect of printing parameters on the ejected droplet size must be modelled and optimized. To this end, there exist two approaches: parameter effects can be modelled using theoretical calculations or they can be generated directly from empirical data using statistical analysis. The first option has been explored by multiple research groups, whereas the latter has received less interest. In this article, the effect of printing parameters on the width of AC-pulsed E-jet deposited Ag-nanoparticle ink droplets are investigated using design of experiments (DoE) approach and statistical analysis. As a result, a statistical model for deposited droplet width is generated using four print parameters (print height, bias voltage, peak voltage and frequency) as predictors. The model can predict 94.24{\%} of the measured width variation with a standard deviation of 1.05 μm.",
keywords = "design of experiments, E-jet, printed electronics, statistical analysis",
author = "Laurila, {M. M.} and B. Khorramdel and A. Dastpak and M. M{\"a}ntysalo",
note = "INT=elt,{"}Dastpak, A.{"}",
year = "2017",
month = "8",
day = "2",
doi = "10.1088/1361-6439/aa7a71",
language = "English",
volume = "27",
journal = "Journal of Micromechanics and Microengineering",
issn = "0960-1317",
publisher = "IOP Publishing",
number = "9",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - Statistical analysis of E-jet print parameter effects on Ag-nanoparticle ink droplet size

AU - Laurila, M. M.

AU - Khorramdel, B.

AU - Dastpak, A.

AU - Mäntysalo, M.

N1 - INT=elt,"Dastpak, A."

PY - 2017/8/2

Y1 - 2017/8/2

N2 - In this paper, we have studied the print parameter effects on electrohydrodynamic inkjet (E-jet) resolution using statistical analysis. In order to make the E-jet manufacturing process feasible, the effect of printing parameters on the ejected droplet size must be modelled and optimized. To this end, there exist two approaches: parameter effects can be modelled using theoretical calculations or they can be generated directly from empirical data using statistical analysis. The first option has been explored by multiple research groups, whereas the latter has received less interest. In this article, the effect of printing parameters on the width of AC-pulsed E-jet deposited Ag-nanoparticle ink droplets are investigated using design of experiments (DoE) approach and statistical analysis. As a result, a statistical model for deposited droplet width is generated using four print parameters (print height, bias voltage, peak voltage and frequency) as predictors. The model can predict 94.24% of the measured width variation with a standard deviation of 1.05 μm.

AB - In this paper, we have studied the print parameter effects on electrohydrodynamic inkjet (E-jet) resolution using statistical analysis. In order to make the E-jet manufacturing process feasible, the effect of printing parameters on the ejected droplet size must be modelled and optimized. To this end, there exist two approaches: parameter effects can be modelled using theoretical calculations or they can be generated directly from empirical data using statistical analysis. The first option has been explored by multiple research groups, whereas the latter has received less interest. In this article, the effect of printing parameters on the width of AC-pulsed E-jet deposited Ag-nanoparticle ink droplets are investigated using design of experiments (DoE) approach and statistical analysis. As a result, a statistical model for deposited droplet width is generated using four print parameters (print height, bias voltage, peak voltage and frequency) as predictors. The model can predict 94.24% of the measured width variation with a standard deviation of 1.05 μm.

KW - design of experiments

KW - E-jet

KW - printed electronics

KW - statistical analysis

U2 - 10.1088/1361-6439/aa7a71

DO - 10.1088/1361-6439/aa7a71

M3 - Article

VL - 27

JO - Journal of Micromechanics and Microengineering

JF - Journal of Micromechanics and Microengineering

SN - 0960-1317

IS - 9

M1 - 095005

ER -