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Coupled CFD-Response Surface Method (RSM) Methodology for Optimizing Jettability Operating Conditions

1
INEGI-FEUP, Faculty of Engineering, Porto University, 4200-465 Porto, Portugal
2
VALORIZA, Polytechnic Institute of Portalegre, 7300-110 Portalegre, Portugal
3
CEHINAV, DMFPA, ETSIN, Universidad Politécnica de Madrid, 28040 Madrid, Spain
4
CEHINAV, DACSON, ETSIN, Universidad Politécnica de Madrid, 28040 Madrid, Spain
*
Author to whom correspondence should be addressed.
ChemEngineering 2018, 2(4), 51; https://doi.org/10.3390/chemengineering2040051
Received: 25 September 2018 / Revised: 11 October 2018 / Accepted: 18 October 2018 / Published: 23 October 2018
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Abstract

A volume-of-fluid (VOF) finite volume model under the ANSYS® Fluent framework was coupled with the response surface method (RSM) to find the best operating conditions within a jettability window for two selected responses in a drop-on-demand inkjet printing process. Twenty-five runs were generated using a face centred design and numerical simulations were carried out using viscosity, surface tension, nozzle diameter, and inlet velocity as input factors. A mesh study was first conducted to establish the necessary number of cells to best combine accuracy and expended time. Selected runs were discussed, identifying the underpinning mechanisms behind the droplet generation at different time periods. Each one of the responses was evaluated under different input factors and their effects were identified. Finally, the desirability function concept was advantageously used to proceed with a multiple optimization where all the responses were targeted under usual jettability/printability conditions. View Full-Text
Keywords: drop-on-demand; VOF model; RSM; printability window; desirability drop-on-demand; VOF model; RSM; printability window; desirability
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Couto, N.; Silva, V.; Cardoso, J.; González-Gutiérrez, L.M.; Souto-Iglesias, A. Coupled CFD-Response Surface Method (RSM) Methodology for Optimizing Jettability Operating Conditions. ChemEngineering 2018, 2, 51.

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