TY - GEN
T1 - The prediction of cone-jet formation in electrospray method using computational fluid dynamics (CFD)
AU - Nurtono, Tantular
AU - Grady, Evan
AU - Puri, Nurdiana Ratna
AU - Qomariyah, Lailatul
AU - Widiyastuti, W.
AU - Kusdianto, K.
AU - Winardi, Sugeng
N1 - Publisher Copyright:
© 2023 Author(s).
PY - 2023/2/28
Y1 - 2023/2/28
N2 - An electrospray drying method has been proposed to produce silica (SiO2) nanoparticles with precise qualities. However, the phenomena of jet-formation in the electrospray process are difficult to capture in field observation, so it requires further investigation using two-dimensional multiphase CFD simulation. It studied the cone-jet formation of the electrospray process which involves multiphase flow and electric potential. The outcomes are volume fraction contour, velocity vectors, electric potential contour, electric current magnitude, and predict the final particle size. The CFD shows 1 ml/h precursor solution results in a thin jet diameter. The entire electric potential contours provide an inversed parabola profile with the biggest electric current magnitude at 14 kV (at the center of the jet). The smallest predicted particle size (0.3 μm) is produced at 1 ml/h.
AB - An electrospray drying method has been proposed to produce silica (SiO2) nanoparticles with precise qualities. However, the phenomena of jet-formation in the electrospray process are difficult to capture in field observation, so it requires further investigation using two-dimensional multiphase CFD simulation. It studied the cone-jet formation of the electrospray process which involves multiphase flow and electric potential. The outcomes are volume fraction contour, velocity vectors, electric potential contour, electric current magnitude, and predict the final particle size. The CFD shows 1 ml/h precursor solution results in a thin jet diameter. The entire electric potential contours provide an inversed parabola profile with the biggest electric current magnitude at 14 kV (at the center of the jet). The smallest predicted particle size (0.3 μm) is produced at 1 ml/h.
UR - http://www.scopus.com/inward/record.url?scp=85149980914&partnerID=8YFLogxK
U2 - 10.1063/5.0113885
DO - 10.1063/5.0113885
M3 - Conference contribution
AN - SCOPUS:85149980914
T3 - AIP Conference Proceedings
BT - 2nd International Symposium of Indonesian Chemical Engineering 2021
A2 - Purbasari, Aprilina
A2 - Ariyanti, Dessy
A2 - Suherman, null
A2 - Kumoro, Andri Cahyo
A2 - Kusworo, Tutuk Djoko
A2 - Djaeni, Mohamad
PB - American Institute of Physics Inc.
T2 - 2nd International Symposium of Indonesian Chemical Engineering 2021: Enhancing Innovations and Applications of Chemical Engineering for Accelerating Sustainable Development Goals, ISIChem 2021
Y2 - 6 October 2021 through 7 October 2021
ER -