An Eulerian–Eulerian formulation for erosion modelling: an alternate approach.

Tandon, Mohit P.; Mohan, S. Jagan; Karnik, Aditya U.; Gada, Vinesh H.

Abstract

Sand is commonly produced besides petroleum fluids and it presents a major erosional hazard leading to pipe failures. Particle erosion is a complex process in which material is removed due to the repeated particle impacts. Conventionally, a CFD flow solver and computationally intensive lagrangian particle tracking sub–routines, known as Eulerian–Lagrangian (E–L) model, along with empirical erosion equations are used to predict the erosion rates. The present work introduces an Eulerian–Eulerian (E–E) approach in which the multiphase granular model resolves the solid phase and obviates the need of particles tracking. Particle–laden turbulent flow across a flow restrictor, based on an experimental study, is chosen for validation. Numerical experiments are done in Simcenter STAR–CCM+. Comparison with the experimental data demonstrate a good agreement and in particular, the E–E model yields reliable predictions of impact wear locations, erosion rates as those of E–L model. A 90° square bend is also simulated and comparison of erosion rates on the concave wall demonstrate that E–E model can be used as an alternate to computationally expensive approaches.

Citation

TANDON, M.P., MOHAN, S.J., KARNIK, A.U. and GADA, V.H. 2018. An Eulerian–Eulerian formulation for erosion modelling: an alternate approach. Presented at the 7th International and 45th National fluid mechanics and fluid power conference (FMFP 2018), 10-12 December 2018, Mumbai, India.

• Presentation Conference Type: Conference Paper (unpublished)
• Conference Name: 7th International and 45th National fluid mechanics and fluid power conference (FMFP 2018)
• Conference Location: Mumbai, India
• Start Date: Dec 10, 2018
• End Date: Dec 12, 2018
• Deposit Date: Jul 15, 2021
• Publicly Available Date: Jul 15, 2021
• Keywords: Computational fluid dynamics (CFD); Erosion models; Multiphase flow; Eulerian model; Kinetic theory granular model
• Public URL: https://rgu-repository.worktribe.com/output/1386155