Numerical solution of a single-species biofilm model on non-orthogonal grids
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Abstract
Biofilms are collections of microbes attached to either a smooth or a rough surface. Within biofilms, bacteria interact with each other using a signalling communication method known as quorum sensing, which enables bacteria to execute gene-expression. Our research focuses on studying a density-dependent, diffusion-reaction-based single-species biofilm model, in which the biomass growth equation exhibits two non-linear degeneracy effects: (i) a porous medium degeneracy as biomass density vanishes, (ii) a super-diffusion singularity as it approaches unity. Previously, a semi-implicit numerical method was developed to solve this model on orthogonal grids. We improve and extend the existing semi-implicit method to solve the biofilm model on non-orthogonal grids. In this process, governing equations are transferred to general non-orthogonal curvilinear grids, and are discretized by the cell-centered finite volume method. At the faces of a control volume, the diffusive flux is split into orthogonal and non-orthogonal components. The orthogonal component is handled in a conventional manner, while the non-orthogonal component is handled explicitly and treated as a part of the source term. While discretizing the non-orthogonal term at the midpoint of a control volume face, the values of a dependent variable at the corners of the control volume face are calculated using values available at the centroid locations by an area-weighted linear interpolation scheme. The semi-implicit treatment of the non-orthogonal flux component works efficiently if the maximum deviation in orthogonality in the grid is within