Convergence analysis of sectional methods for solving aggregation population balance equations: The fixed pivot technique
Ankik Kumar Giri, Erika Hausenblas

TL;DR
This paper analyzes the convergence properties of the fixed pivot technique for solving nonlinear aggregation population balance equations, demonstrating second order convergence on smooth meshes and limitations on irregular meshes.
Contribution
It provides a detailed convergence analysis of the fixed pivot technique across various mesh types, highlighting its accuracy and limitations.
Findings
Second order convergence on uniform and smooth non-uniform meshes
First order convergence on locally uniform meshes
Lack of convergence on oscillatory and random meshes
Abstract
In this paper, we introduce the convergence analysis of the fixed pivot technique given by S.Kumar and Ramkrishna \cite{Kumar:1996-1} for the nonlinear aggregation population balance equations which are of substantial interest in many areas of science: colloid chemistry, aerosol physics, astrophysics, polymer science, oil recovery dynamics, and mathematical biology. In particular, we investigate the convergence for five different types of uniform and non-uniform meshes which turns out that the fixed pivot technique is second order convergent on a uniform and non-uniform smooth meshes. Moreover, it yields first order convergence on a locally uniform mesh. Finally, the analysis exhibits that the method does not converge on an oscillatory and non-uniform random meshes. Mathematical results of the convergence analysis are also demonstrated numerically.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCoagulation and Flocculation Studies · Field-Flow Fractionation Techniques · Enhanced Oil Recovery Techniques
