A detailed particle model for polydisperse aggregate particles
Creators
- 1. Cambridge Centre for Advanced Research and Education in Singapore (CARES), CREATE Tower, 1 Create Way, 138602 (Singapore)
- 2. Department of Chemical Engineering and Biotechnology, University of Cambridge, Philippa Fawcett Drive, Cambridge, CB3 0AS (United Kingdom)
- 3. School of Chemical and Biomedical Engineering, Nanyang Technological University, 62 Nanyang Drive, 6357459 (Singapore)
Description
Highlights: • New multivariate PBM with detailed morphological description of titania aggregates. • Overlapping spheres model of aggregates, resolving position of individual primaries. • Particles evolve under inception, condensation, coagulation and sintering. • Convergence behaviour investigated for a batch reactor test case. • Experimental hot-wall reactor simulated. -- Abstract: The mathematical description of a new detailed particle model for polydisperse aggregate particles is presented. An aggregate particle is represented as a collection of overlapping spherical primary particles and the model resolves the composition, radius and position coordinates of each individual primary to form a detailed geometrical description of aggregate morphology. Particles transform under inception, coagulation, surface growth, sintering and coalescence processes. The new particle description is used to model the aerosol synthesis of titanium dioxide () aggregates from titanium tetraisopropoxide (TTIP) precursor. particles are formed through collision-limited inception and growth reactions of from the gas-phase, produced from the thermal decomposition of TTIP. Coupling between the particle population balance and detailed gas-phase chemistry is achieved by operator splitting. A numerical study is performed by simulating a simple batch reactor test case to investigate the convergence behaviour of key functionals with respect to the maximum number of computational particles and splitting time step. Finally, a lab-scale hot wall reactor is simulated to demonstrate the advantages of a detailed geometrical description. Simulated particle size distributions were in reasonable agreement with experimental data. Further evaluation of the model and a parametric sensitivity study are recommended.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.jcp.2019.06.074Additional details
Identifiers
- DOI
- 10.1016/j.jcp.2019.06.074;
- PII
- S0021999119304838;
Publishing Information
- Journal Title
- Journal of Computational Physics (Print)
- Journal Volume
- 397
- Journal Page Range
- vp.
- ISSN
- 0021-9991
- CODEN
- JCTPAH
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 54127069
- Subject category
- S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Descriptors DEI
- AEROSOLS; CHEMISTRY; COALESCENCE; COLLISIONS; COMPUTERIZED SIMULATION; MORPHOLOGY; MULTIVARIATE ANALYSIS; NUMERICAL ANALYSIS; PARTICLE MODELS; PARTICLE SIZE; SENSITIVITY ANALYSIS; SPHERICAL CONFIGURATION; STOCHASTIC PROCESSES; TITANIUM; TITANIUM OXIDES
- Descriptors DEC
- CHALCOGENIDES; COLLOIDS; CONFIGURATION; DISPERSIONS; ELEMENTS; MATHEMATICAL MODELS; MATHEMATICS; METALS; OXIDES; OXYGEN COMPOUNDS; SIMULATION; SIZE; SOLS; STATISTICS; TITANIUM COMPOUNDS; TRANSITION ELEMENT COMPOUNDS; TRANSITION ELEMENTS
Optional Information
- Copyright
- Copyright (c) 2019 Elsevier Inc. All rights reserved.