PhD: Segregation of Multi-component particle mixtures (Industrial Dense Granular Flows project)

Updated: 5 days ago
Job Type: Temporary
Deadline: 01 May 2020

We are looking for an enthusiastic and ambitious candidate fascinated by granular materials within industrial scale processes.

This funded 4-year PhD project focusses on improving process efficiency of the iron making process by enhanced understanding of handling processes of the raw materials (iron ore, sinter, coke, additives) related to the blast furnace. Key aspects include: (1) investigating spatial distribution and segregation of polydisperse multi-component mixtures in the charging process and various handling steps, (2) establishing a numerical DEM model to capture the material behaviour and interactions on global and local scale, (3) developing test setup to validate the material model behaviour under realistic flow regimes.
The developed model will be used to introduce novel control strategies for optimal material charging to achieve higher blast furnace process efficiency.

This specific project with Tata Steel is one of four PhD projects within the Industrial Dense Granular Flows project funded by the Dutch Research Council (NWO) to develop validated numerical models for complex nature of granular matter.

More information on the TEL section can be found here:

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