{"title":"Simulation and analysis of bulk particle water entry dynamics using MP-PIC-VOF: A new volume-conservative model","authors":"Utkan Çalışkan, Sanja Mišković","doi":"10.1016/j.partic.2025.10.004","DOIUrl":null,"url":null,"abstract":"<div><div>This paper introduces the advanced MP-PIC-VOF model tailored for dense particle-laden flows with free surface, which has been developed and extensively tested across a set of validation cases found in literature and original bulk particle water entry case. A distinctive feature of the MP-PIC method is its demonstrated ability to accurately capture the behavior of closely packed particles in a fluid, even in the absence of direct pairwise particle-particle interactions. At a closed packed limit, the MP-PIC method achieves the accurate representation of the state through the resolved mean particle velocity field and implementation of the velocity limiter in the inter-particle stress force. The new model integrates a trilinear interpolation technique, specifically adapted for unstructured hexahedral meshes, and a weighted least squares method for efficient gradient computation that operates at a sub-cell level, enabling more accurate calculation of inter-particle stress gradients. Other key contributions include the integration of hydrostatic pressure adaptation in the momentum equation and a volume-conservative alpha transport equation that ensures mass conservation during the transfer of the solid phase between distinct fluid phases. The coupling framework includes a range of coupled fluid-particle forces important for particles immersed in liquid, including a dense virtual mass force. The model's validation against experimental data and CFD-DEM-VOF results focuses on key flow parameters, specifically particle velocity, dispersion profile, and cavity evolution during bulk particle water entry. The model is shown to accurately simulate complex solid-liquid-gas interactions, demonstrating its potential for optimizing a wide range of complex industrial processes such as liquid fluidized beds, solid-liquid stirred tanks, and clarifiers.</div></div>","PeriodicalId":401,"journal":{"name":"Particuology","volume":"107 ","pages":"Pages 113-133"},"PeriodicalIF":4.7000,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Particuology","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S167420012500269X","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/10/16 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"ENGINEERING, CHEMICAL","Score":null,"Total":0}
引用次数: 0
Abstract
This paper introduces the advanced MP-PIC-VOF model tailored for dense particle-laden flows with free surface, which has been developed and extensively tested across a set of validation cases found in literature and original bulk particle water entry case. A distinctive feature of the MP-PIC method is its demonstrated ability to accurately capture the behavior of closely packed particles in a fluid, even in the absence of direct pairwise particle-particle interactions. At a closed packed limit, the MP-PIC method achieves the accurate representation of the state through the resolved mean particle velocity field and implementation of the velocity limiter in the inter-particle stress force. The new model integrates a trilinear interpolation technique, specifically adapted for unstructured hexahedral meshes, and a weighted least squares method for efficient gradient computation that operates at a sub-cell level, enabling more accurate calculation of inter-particle stress gradients. Other key contributions include the integration of hydrostatic pressure adaptation in the momentum equation and a volume-conservative alpha transport equation that ensures mass conservation during the transfer of the solid phase between distinct fluid phases. The coupling framework includes a range of coupled fluid-particle forces important for particles immersed in liquid, including a dense virtual mass force. The model's validation against experimental data and CFD-DEM-VOF results focuses on key flow parameters, specifically particle velocity, dispersion profile, and cavity evolution during bulk particle water entry. The model is shown to accurately simulate complex solid-liquid-gas interactions, demonstrating its potential for optimizing a wide range of complex industrial processes such as liquid fluidized beds, solid-liquid stirred tanks, and clarifiers.
期刊介绍:
The word ‘particuology’ was coined to parallel the discipline for the science and technology of particles.
Particuology is an interdisciplinary journal that publishes frontier research articles and critical reviews on the discovery, formulation and engineering of particulate materials, processes and systems. It especially welcomes contributions utilising advanced theoretical, modelling and measurement methods to enable the discovery and creation of new particulate materials, and the manufacturing of functional particulate-based products, such as sensors.
Papers are handled by Thematic Editors who oversee contributions from specific subject fields. These fields are classified into: Particle Synthesis and Modification; Particle Characterization and Measurement; Granular Systems and Bulk Solids Technology; Fluidization and Particle-Fluid Systems; Aerosols; and Applications of Particle Technology.
Key topics concerning the creation and processing of particulates include:
-Modelling and simulation of particle formation, collective behaviour of particles and systems for particle production over a broad spectrum of length scales
-Mining of experimental data for particle synthesis and surface properties to facilitate the creation of new materials and processes
-Particle design and preparation including controlled response and sensing functionalities in formation, delivery systems and biological systems, etc.
-Experimental and computational methods for visualization and analysis of particulate system.
These topics are broadly relevant to the production of materials, pharmaceuticals and food, and to the conversion of energy resources to fuels and protection of the environment.