An efficient immersed boundary method for fluid flow simulations with moving boundaries

作者:

Highlights:

• We have developed an efficient immersed boundary (IB) treatment to simulate the interaction effect of fluid flow past a pair of circular cylinderswith heat transfer.

• A simple imputation approach was proposed and applied to the immersed grid, and the Dirichlet and Neumann boundary conditions were satisfied.

• High-resolution of local differential quadrature (LDQ) method is employed to discretize the Navier–Stokes equations.

• We used three parameters included the Re number (10 ≤ Re ≤ 200), transverse spacing (g* = L/D), and longitudinal spacing (s* = S/D)to evaluate the heat transfer effect under dissimilar flow conditions.

• The IB method and the discretization of the LDQ method were integrated to process and solve for complex IB problems involving heat transfer and flow–particles coupling.

摘要

•We have developed an efficient immersed boundary (IB) treatment to simulate the interaction effect of fluid flow past a pair of circular cylinderswith heat transfer.•A simple imputation approach was proposed and applied to the immersed grid, and the Dirichlet and Neumann boundary conditions were satisfied.•High-resolution of local differential quadrature (LDQ) method is employed to discretize the Navier–Stokes equations.•We used three parameters included the Re number (10 ≤ Re ≤ 200), transverse spacing (g* = L/D), and longitudinal spacing (s* = S/D)to evaluate the heat transfer effect under dissimilar flow conditions.•The IB method and the discretization of the LDQ method were integrated to process and solve for complex IB problems involving heat transfer and flow–particles coupling.

论文关键词:Immersed boundary (IB),Local differential quadrature (LDQ),Particulate flows, Virtual force,Fluid-particles interaction

论文评审过程:Received 13 February 2017, Revised 29 November 2017, Accepted 14 January 2018, Available online 20 February 2018, Version of Record 20 February 2018.

论文官网地址:https://doi.org/10.1016/j.amc.2018.01.022