A new computational method is developed for reliable prediction of the impact erosion produced by dense submerged slurry jets. Predicting erosion of dense slurry flows is complex for a number of reasons, including the high computational cost of the two-phase flow models based on the Lagrangian tracking of the particles’ trajectories, the lack of comprehensive models for particle-particle interactions and the lack of confidence in the validity of empirical erosion correlations. A possible frame of work for overcoming these flaws is proposed, consisting in the joint use of a computational approach developed by Messa and Malavasi (2018) for simulating efficiently the fluid dynamic characteristics of dense slurries in the proximity of an eroding wall, and of a strategy proposed by Mansouri et al. (2015a) for calibrating an empirical erosion correlation based on a limited set of numerical and experimental results. Validation against original experimental data confirmed that the combination of the two methods has the potential to be a reliable predictive tool for design purposes, thereby being worthy of consideration for further improvement.

Numerical prediction of the impact erosion produced by dense slurry jets

G. V. Messa;S. Malavasi;
2019-01-01

Abstract

A new computational method is developed for reliable prediction of the impact erosion produced by dense submerged slurry jets. Predicting erosion of dense slurry flows is complex for a number of reasons, including the high computational cost of the two-phase flow models based on the Lagrangian tracking of the particles’ trajectories, the lack of comprehensive models for particle-particle interactions and the lack of confidence in the validity of empirical erosion correlations. A possible frame of work for overcoming these flaws is proposed, consisting in the joint use of a computational approach developed by Messa and Malavasi (2018) for simulating efficiently the fluid dynamic characteristics of dense slurries in the proximity of an eroding wall, and of a strategy proposed by Mansouri et al. (2015a) for calibrating an empirical erosion correlation based on a limited set of numerical and experimental results. Validation against original experimental data confirmed that the combination of the two methods has the potential to be a reliable predictive tool for design purposes, thereby being worthy of consideration for further improvement.
2019
19th International Conference on Transport & Sedimentation of Solid Particles
9788377173237
Slurry flows
Impact erosion
Computational Fluid Dynamics
File in questo prodotto:
File Dimensione Formato  
MessaEtAl_T&S2019.pdf

Accesso riservato

Descrizione: published paper
: Publisher’s version
Dimensione 960.03 kB
Formato Adobe PDF
960.03 kB Adobe PDF   Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1116826
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? ND
social impact