Onset of cavitation and vapor bubble development over hydrophilic and hydrophobic surfaces

C Chensen Lin (Artificial Intelligence Innovation and Incubation Institute) M Martin R. Maxey (Division of Applied Mathematics) Z Zhen Li K Kaixuan Zhang (School of Medicine) G George Em Karniadakis (Division of Applied Mathematics)

Abstract

Cavitation, the formation of vapor bubbles as the liquid pressure is reduced below the saturated vapor pressure, often requires a substantial negative relative pressure in a pure liquid. Classical nucleation theory (CNT) provides an estimate for the rate of cavitation but there is often a disconnect between the predictions at the molecular scale compared to observations at the macroscale. We report on mesoscale simulations of cavitation based on many-body dissipative particle dynamics (mDPD), a coarse-grained molecular dynamics (MD), which bridges the two scales. A liquid layer is confined between smooth planar walls at a constant temperature, while the pressure is reduced slowly by expanding the wall-bounded domain. The wetting properties of the liquid are determined by the parameters of the interaction potentials. With hydrophilic walls, homogeneous nucleation is observed in the liquid bulk. As a bubble forms and grows, it creates a strong pressure pulse and oscillations that cause other bubbles that may have formed slightly later to collapse. For a nearly neutral wall with a contact angle close to 90 ° , heterogeneous nucleation occurs at the walls at a smaller negative pressure and generates weaker pressure oscillations. With hydrophobic walls or seed particles, heterogeneous nucleation readily occurs, where fluctuations and the merger of transient surface bubbles are significant.

Article Details

Volume / Issue Vol. 122, Issue 27
Published July 08, 2025
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (5)

C

Chensen Lin

Artificial Intelligence Innovation and Incubation Institute

M

Martin R. Maxey

Division of Applied Mathematics

Z

Zhen Li

K

Kaixuan Zhang

School of Medicine

G

George Em Karniadakis

Division of Applied Mathematics