Fractal description of fouling deposits in boiling heat transfer modelling

•A novel fractal approach is developed to characterize fouling deposits.•Analytical expressions for effective thermal-hydraulic deposit properties are deduced.•A 1D model which simulates boiling and heat conduction in the deposit is developed.•Aging phenomenon is considered thanks a multi-layer repr...

Full description

Saved in:
Bibliographic Details
Published in:International journal of heat and mass transfer 2019-12, Vol.145, p.118722, Article 118722
Main Authors: Dupuy, T., Prusek, T., Oukacine, F., Lacroix, M., Kaiss, A., Clerc, J.P., Jaeger, M.
Format: Article
Language:English
Subjects:
Boilers
Boiling heat transfer
Capillaries
Chimneys
Computer simulation
Densification
Deposits
Engineering Sciences
Fluids mechanics
Fouling
Fractal
Fractals
Heat exchange
Heat exchanger
Heat transfer
Impact prediction
Inflow
Mechanics
Methodology
Multilayers
Outflow
Phase transitions
Porosity
Porous media
Vapor phases
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:•A novel fractal approach is developed to characterize fouling deposits.•Analytical expressions for effective thermal-hydraulic deposit properties are deduced.•A 1D model which simulates boiling and heat conduction in the deposit is developed.•Aging phenomenon is considered thanks a multi-layer representation of deposit.•The measured heat transfer enhancement induced by fouling deposits can be reproduced. A novel methodology is developed for predicting the thermal impact of fouling in Steam Generators (SG). The originality of this methodology is to resort to fractal and statistical theories to depict the porous structure of the deposits. The proposed Statistical Fractal methodology (SF) accounts for the heat transfer driven by the liquid-vapor phase change inside the deposits. It simulates the complex intricate networks of sinuous open pores of different scales, with liquid inflows (capillaries) and vapor outflows (steam-chimneys). The multi-layered representation of fouling deposits allows to mimic aging mechanisms such as densification which occur during SG operation. The SF predictions are consistent with experimental data. The deposit thickness and the profile of porosity are found to be the most influential fouling properties on the heat exchange. The methodology is capable to simulate the experimentally observed heat transfer enhancement for thin and porous deposit as well as the heat exchange decline for thick and dense deposit.
ISSN:0017-9310
1879-2189
DOI:10.1016/j.ijheatmasstransfer.2019.118722