Prediction model of CaCO3 crystal-particle mixed fouling on heat transfer surface

Predicting the fouling of heat exchange surface without affecting the production order is crucial. Conventional methods for predicting the fouling, e.g., numerical model and simulating calculation, are not applicable under complex environment with mixed fouling. To address this vital problem, in this article, we present a prediction model for calculating crystallization -particle mixed fouling deposition on heat transfer surfaces based on Kern-Seaton model theory, which considers the process of deposition and removal during fouling generation. A calculation formula is derived to determine the fouling resistance of crystalline -particle mixed fouling, which aims to predict the fouling condition on heat transfer surface according to environmental parameters. To confirm that the suggested method works, an experimental rig is built. It is found that the proposed method calculates the fouling resistance variation curve of time. An experimental results show that the proposed fouling prediction model can accurately predict the fouling resistance on the heat exchange surface, which average relative error is 7.97% compared with the experimental data.

Automated summary

A prediction model based on Kern-Seaton model theory is proposed in this article to calculate the deposition of crystalline-particle mixed fouling on heat transfer surfaces. The model takes into account both the deposition and removal processes during fouling generation. Experimental results show that the proposed model accurately predicts the fouling resistance on the heat exchange surface.