Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/919698
- The influence of slug length on pressure drop prediction to slug flow pneumatic conveying
Williams, K. C.;
Jones, M. G.
- The University of Newcastle. Faculty of Engineering & Built Environment, School of Engineering
- Dense phase pneumatic conveying can be a most reliable, efficient method for handling a remarkably wide range of dry bulk solids. However, due to nature of the discontinuous flow, the modelling and controlling of this type of conveying seems to be very difficult if assuming some type of steady state conditions for prediction. In this research, by utilising conservation of airflow mass, a novel dynamic pressure analysis model is proposed on the basis of the derivative of the pressures in the feed section pressure and air gaps. Assuming that all slugs travel at the same speed, a computer program then simulates two scenarios of slug flow conveying based on experimental conditions: one using uniform slug length/air gap, while the other using experimental obtained slug length/air gap, which obeys a logarithmic distribution. The simulation results have been compared with experimental results from test rigs to verify the proposed pressure drop model, showing how the two scenarios affecting the predicted results. The simulation derived from this model can be used for predicting operating parameters and slug behaviour within the slug flow pneumatic conveying system, and has the potential to significantly increase slug conveying efficiency. The theory and software in this research may lead to a commercial tool to design such a slug flow dense phase pneumatic conveying system at industrial scale.
- 6th International Conference for Conveying and Handling of Particulate Solids with 10th ICBMH and BULKEX, 2009 (CHoPS 2009). 6th International Conference for Conveying and Handling of Particulate Solids with 10th ICBMH and BULKEX: Conference Proceedings (Brisbane, Qld 3-7 August, 2009) p. 695-700
- Engineers Australia
dynamic pressure analysis model;
pressure drop prediction;
- Resource Type
- conference paper