References for the Size-Based Population Balance Interface
1.
M. Ölander,
Numerical Simulations for Battery Recycling
, master’s thesis, KTH, Royal Institute of Technology, 2023.
2.
H. Y. Tang, S. Rigopoulos, and G. Papadakis, “On the interaction of turbulence with nucleation and growth in reaction crystallisation,”
J. Fluid Mech
, vol. 944, p. A48, 2022.
3.
S. Qamar, M.P. Elsner, I.A. Angelov, G. Warnecke, and A. Seidel-Morgenstern, “A comparative study of high resolution schemes for solving population balances in crystallization,”
Comput. Chem. Eng.
, vol. 30, no. 6–7, pp. 1119–1131, 2006.
4.
B. Koren, “A robust upwind discretization method for advection, diffusion and source terms,”
Notes Numer. Fluid Mech.
, vol. 45, pp. 117–138, 1993.
5.
W. Zhang, T. Przybycien, J. Schmölder, S. Leweke, and E. von Lieres, “Solving crystallization/precipitation population balance models in CADET, part 1: Nucleation growth and growth rate dispersion in batch and continuous modes on nonuniform grids,”
Comput. Chem. Eng.
, vol. 183, 2024.
6.
H. Dong, C. Lu, and H. Yang, “The finite volume WENO with Lax-Wendroff scheme for nonlinear system of Euler equations,”
Mathematics
, vol. 10, pp. 211, 2018.
7.
W. Zhang, T. Przybycien, J. M. Breuer, and E. von Lieres, “Solving crystallization/precipitation population balance models in CADET, Part II: Size-based Smoluchowski coagulation and fragmentation equations in batch and continuous modes,”
Comput. Chem. Eng.
, vol. 192, 2025.
8.
G. Kaur, J. Kumar, S. Heinrich, “A weighted finite volume scheme for multivariate aggregation population balance equations,”
Comput. Chem. Eng.
, vol. 101, pp. 1-10, 2017.