Fluid interface detection technique based on neighborhood particles centroid deviation (NPCD) for particle methods. (11th January 2016)

• Record Type: Journal Article
• Authors: Tsukamoto, Marcio Michiharu; Cheng, Liang‐Yee; Motezuki, Fabio Kenji
• Is Part Of: International journal for numerical methods in fluids. Volume 82:Number 3(2016)
• Page Start: 148
• Page End: 168
• Publication Date: 2016-01-11
• Subjects: interface particle detection -- free surface -- particle methods -- computational fluid dynamics -- moving particle semi‐implicit -- MPS -- numerical simulation; Fluid dynamics -- Mathematics -- Periodicals; 532
• DOI: 10.1002/fld.4213
• Languages: English
• ISSNs: 0271-2091

Abstract

Summary: Particle‐based CFD methods are powerful approaches to investigate free surface, multiphase flows, and fluid structure interaction problems because of their ability of tracking moving fluid interface even with huge deformations or fragmentation and merging. However, many fluid interface particle detection techniques are simple to implement but with low accuracy or provide relatively good detection results at complicated implementation cost or higher computational time. In case of incompressible flow simulation methods solving the Poisson equation of pressure, such as the moving particle semi‐implicit method, boundary particles detection techniques' accuracy affects precision and stability of pressure computation and interaction between fluid phases. In the present work, a new fluid interface particle detection technique is proposed to improve the accuracy of the boundary particles detection and keep the implementation easy. Denominated as the neighborhood particles centroid deviation technique, it is a two‐criteria technique based on the particle number density and the neighborhood particles weighted geometric center deviation. Compared with other techniques, the proposed neighborhood particles centroid deviation technique shows the best results by eliminating false interface particles inside the fluid domain and keeping the interface particles layer thin and regular. As a result, relatively stable pressure time histories and more consistent pressure and velocity fields are achieved. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd. Abstract : Particle‐based CFD methods are powerful approaches to investigate fluid flows with huge deformations or fragmentation and merging because of their ability of tracking moving interfaces. However, many fluid interface particle detection techniques are simple to implement but with low accuracy or provide relatively good detection results at complicated implementation or higher computational time. Besides a review of the main available techniques, in this paper, a new technique is proposed to improve the accuracy while keeping implementation easy and with low computational cost.