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, A.; Adami, A.; Chandaiahgari, C. R.; Lorenzelli, L.. - (2020), pp. 1-4. (Intervento presentato al convegno FLEPS tenutosi a VIrtuale nel 16-19 Agosto 2020) [10.1109/FLEPS49123.2020.9239474].
Multivariable optimization of inkjet printing process of Ag nanoparticle ink on Kapton
Bucciarelli A.;Adami A.;Lorenzelli L.
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione