ICMAME 2023 Conference Proceedings
Paper No: 148
Paper Title: Modeling Footprint Profiles for Different Drop-Substrate Pairs
Paper Title: Modeling Footprint Profiles for Different Drop-Substrate Pairs
AUTHORS:
Elaf N. Mahrous Mechanical Engineering Department, Jubail Industrial College, Jubail Industrial City, Saudi Arabia
ABSTRACT:
Modeling drop dynamics in 3D is an active area of research. Of particular interest is the simulation of the contact line profiles for moving liquid drops of varying physical properties, such as liquid surface tension and substrate wettability. The Lagrangian Particle Finite Element Method (PFEM) numerical approach is adopted for predicting the footprint profiles of moving liquid drops. The Lagrangian PFEM is advantageous due to its ability to provide an accurate mesh-based boundary description, and thus, facilitates the computation of the freesurface and footprint evolution. The modeling outcomes agree with the general experimental behavior for different dropsubstrate pairs with widely differing properties.
Keywords: Proportional Integral Derivative (PID), Swarm Intelligence (SI), Renewable Energy (RE), Statistical Analysis
Conference Venue: Mövenpick Hotel & Apartments Bur Dubai, Dubai-UAE
Conference Date: 29-30 April 2023
ISBN Number: 978-625-00-1526-1
DOI Number: https://doi.org/10.53375/icmame.2023.148
PDF Download
Elaf N. Mahrous Mechanical Engineering Department, Jubail Industrial College, Jubail Industrial City, Saudi Arabia
ABSTRACT:
Modeling drop dynamics in 3D is an active area of research. Of particular interest is the simulation of the contact line profiles for moving liquid drops of varying physical properties, such as liquid surface tension and substrate wettability. The Lagrangian Particle Finite Element Method (PFEM) numerical approach is adopted for predicting the footprint profiles of moving liquid drops. The Lagrangian PFEM is advantageous due to its ability to provide an accurate mesh-based boundary description, and thus, facilitates the computation of the freesurface and footprint evolution. The modeling outcomes agree with the general experimental behavior for different dropsubstrate pairs with widely differing properties.
Keywords: Proportional Integral Derivative (PID), Swarm Intelligence (SI), Renewable Energy (RE), Statistical Analysis
Conference Venue: Mövenpick Hotel & Apartments Bur Dubai, Dubai-UAE
Conference Date: 29-30 April 2023
ISBN Number: 978-625-00-1526-1
DOI Number: https://doi.org/10.53375/icmame.2023.148
PDF Download