CFD and CFD-DEM Modelling of enhanced gravity separators to improve understanding and performance
Lead Research Organisation:
University of Exeter
Department Name: Engineering Computer Science and Maths
Abstract
Mineral processing is a uniquely complicated field due to the heterogeneous nature of the minerals involved. It is an important area of industry as it is vital to produce feed material to metallurgical processes which is of suitable grade for efficient and feasible recovery of metals. Natural variability in the minerals present in different orebodies as well as variations in the mineral distribution, textures and associations means that mineral processing equipment cannot be universally optimised; this results in poor recovery of minerals as the orebody is 'fitted' to the equipment.
The release of bio-available heavy metals is generally associated with poor recovery of minerals within fine sized particles below 20-30 microns in diameter in mineral processing plants. These bio-available metals can accumulate in the environment with recognised deleterious effects to eco-systems. Examples of this are readily seen in the south-west due to historical processing such as in the Bissoe river and Carbon Valley.
Gravity separation enhanced by centrifugal force is an established technique for the recovery of fine particles containing heavy metals. Despite this fact the exact physical means of separation within these devices is poorly understood and historically only empirical models have been developed which are device and ore specific and so of limited use.
The continual improvement in computational power has led to increased abilities to simulate complex two and three phase dynamic systems, including densely populated particulate systems through the combination of computational fluid dynamics and discrete element modelling. This technique is ideally suited to investigating the fundamental physics of material flow in equipment designed to separate particles by differences in density. It is anticipated that this modelling will finally enable improved equipment design and manufacture allowing equipment to be 'fitted' to the specific requirements of an orebody. This will reduce the environmental impact of mining but also reduce energy costs per tonne of produced metal.
It is anticipated that this project will combine aspects of:
- computational modelling alongside experimental validation
- manufacture of process equipment
- investigations into the chemical, biological and environmental impact of reducing heavy metals release in the environment.
The role of the successful candidate will cover a number of areas, reflecting the inter-disciplinary approach of the project. The student will generate models of centrifugal separation equipment using a combined CFD-DEM approach and validate these models experimentally. This will mainly be completed at the University of Exeter but may also involve work at other institutes. The student will liaise with a manufacturer to implement changes to process equipment based on their modelling and test these changes experimentally. Modelling will also be used to determine the ideal particle size distribution (PSD) of material for equipment and the student will investigate means of producing material with this PSD using specialised ultra-fine grinding equipment available through links with local consultancy firms. Test material will be collected from currently operating mines and locations of historic mine waste. The student will assess the environmental impacts of the material and quantify the change in impact after processing.
The release of bio-available heavy metals is generally associated with poor recovery of minerals within fine sized particles below 20-30 microns in diameter in mineral processing plants. These bio-available metals can accumulate in the environment with recognised deleterious effects to eco-systems. Examples of this are readily seen in the south-west due to historical processing such as in the Bissoe river and Carbon Valley.
Gravity separation enhanced by centrifugal force is an established technique for the recovery of fine particles containing heavy metals. Despite this fact the exact physical means of separation within these devices is poorly understood and historically only empirical models have been developed which are device and ore specific and so of limited use.
The continual improvement in computational power has led to increased abilities to simulate complex two and three phase dynamic systems, including densely populated particulate systems through the combination of computational fluid dynamics and discrete element modelling. This technique is ideally suited to investigating the fundamental physics of material flow in equipment designed to separate particles by differences in density. It is anticipated that this modelling will finally enable improved equipment design and manufacture allowing equipment to be 'fitted' to the specific requirements of an orebody. This will reduce the environmental impact of mining but also reduce energy costs per tonne of produced metal.
It is anticipated that this project will combine aspects of:
- computational modelling alongside experimental validation
- manufacture of process equipment
- investigations into the chemical, biological and environmental impact of reducing heavy metals release in the environment.
The role of the successful candidate will cover a number of areas, reflecting the inter-disciplinary approach of the project. The student will generate models of centrifugal separation equipment using a combined CFD-DEM approach and validate these models experimentally. This will mainly be completed at the University of Exeter but may also involve work at other institutes. The student will liaise with a manufacturer to implement changes to process equipment based on their modelling and test these changes experimentally. Modelling will also be used to determine the ideal particle size distribution (PSD) of material for equipment and the student will investigate means of producing material with this PSD using specialised ultra-fine grinding equipment available through links with local consultancy firms. Test material will be collected from currently operating mines and locations of historic mine waste. The student will assess the environmental impacts of the material and quantify the change in impact after processing.
Organisations
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| EP/N509656/1 | 01/10/2016 | 30/09/2021 | |||
| 1942209 | Studentship | EP/N509656/1 | 01/10/2017 | 30/09/2021 | Azubuike Okoroafor |
| Description | The key finding of the research so far is an better way to separate particles with Knelson separator that could result in less water usage |
| Exploitation Route | The outcome of the research will result in the modification of Knelson separator. The modified equipment should be able to use less water input to achieve same or better results |
| Sectors | Environment,Manufacturing, including Industrial Biotechology |