In her doctoral dissertation, Sadia Riaz investigated the flow of slurry through annular jet pumps, as well as how pump geometry, operating conditions, and particle-related flow behaviour affect performance, energy use, and transport reliability. Using computational fluid dynamics and a mixture-model-based analysis, her dissertation shows how turbulence, slip between phases, and pump design influence suction capacity, pressure development and specific energy consumption. The results provide valuable engineering insight into how annular jet pumps can be designed and operated more efficiently for slurry handling. Riaz’s research could benefit industries involved in transporting solid–liquid mixtures, such as mining, dredging, and process engineering, by supporting the development of more energy-efficient and reliable pump systems.
The doctoral dissertation of MS Sadia Riaz in the field of Automation Technology and Mechanical Engineering titled A Mixture Model Based Computational Framework for Annular Jet Pumps in Slurry Transport will be publicly examined at the Faculty of Engineering and Natural Sciences at Tampere University.
The Opponent will be Associate Professor Payman Jalali, LUT University, Finland. The Custos will be Professor Kari T. Koskinen, from the Faculty of Engineering and Natural Sciences, Tampere University.