This work reports a study by Design of Experiments (DOE) to optimize the inkjet printing parameters for a nanoparticle-based Ag ink. This method showed the interplay of the waveform parameters into the definition of optimal drop reproducibility and the achievement of the optimal resolution. In particular, it is shown that mixed terms of the model have a statistical significance and therefore the proposed multivariate approach provides a benefit in the optimization with respect to the more commonly used one-factor-at-a-time models.

Multivariable optimization of inkjet printing process of Ag nanoparticle ink on Kapton

Bucciarelli, Alessio;Adami, Andrea;Chandraiahgari, Chandrakanth Reddy;Lorenzelli, Leandro
2020-01-01

Abstract

This work reports a study by Design of Experiments (DOE) to optimize the inkjet printing parameters for a nanoparticle-based Ag ink. This method showed the interplay of the waveform parameters into the definition of optimal drop reproducibility and the achievement of the optimal resolution. In particular, it is shown that mixed terms of the model have a statistical significance and therefore the proposed multivariate approach provides a benefit in the optimization with respect to the more commonly used one-factor-at-a-time models.
2020
978-1-7281-5278-3
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11582/324346
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