Name
Abstract | ||
|---|---|---|
We propose an approximate polynomial method of moments for a class of first-order linear PDEs (partial differential equations) of hyperbolic type, involving a filtering term with applications to population balance systems with fines removal terms. The resulting closed system of ODEs (ordinary differential equations) represents an extension to a recently published method of moments which utilizes least-square approximations of factors of the PDE over orthogonal polynomial bases. An extensive numerical analysis has been carried out for proof-of-concept purposes. The proposed modeling scheme is generally of interest for control and optimization of processes with distributed parameters. (C) 2014 Elsevier Ltd. All rights reserved. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.compchemeng.2014.12.015 | Computers & Chemical Engineering |
Keywords | Field | DocType |
Method of moments,Population balance equation,Least-square approximation,Method of characteristics | Population,Mathematical optimization,Population balance equation,Ordinary differential equation,Mathematical analysis,Method of characteristics,Numerical analysis,Partial differential equation,Ode,Mathematics,Method of moments (statistics) | Journal |
Volume | ISSN | Citations |
74 | 0098-1354 | 0 |
PageRank | References | Authors |
0.34 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Naim Bajçinca | 1 | 26 | 9.66 |
| Steffen Hofmann | 2 | 0 | 1.01 |
| D. Bielievtsov | 3 | 0 | 0.34 |
| Kai Sundmacher | 4 | 49 | 12.51 |