Particle flow, mixing and segregation

Particle flow, mixing and segregation

The hopper flow of a wide industrial application provides a benchmark for the study of granular flow in general. Different numerical approaches such as DEM-based discrete particle simulation, FEM-based continuum modelling, and CFD-DEM (if gas flow involved) will be used. The aim is to develop a general effective technique for hopper design and control under different operational and material conditions. The developed technique may also be used for other granular operations, e.g. solid flow in a BF or sinter strand.

Project Leader: A/Prof Wenyi Yan, Monash-JITRI

Drums are common devices in industry for mixing, drying, milling, coating or granulation/agglomeration. The project aims to investigate granular flow behaviour through comprehensive modelling. The effects of cohesion, capillary and heat transfer will be considered in the proposed model. Flow patterns such as avalanche, segregation and convection and their effects on particle mixing, article breakage, wall erosion and power consumption will be investigated. The results are useful for different industrial processes involving rotating drums.

Project Leader: A/Prof Haiping Zhu, WSU-JITRI

This project aims to develop a method to generally predict the mixing performance of particles of different types as a function of particle properties, operational conditions and geometry. Different simulation techniques will be employed in connection with our previous studies.

Project Leader: A/Prof Ruiping Zou & Dr Qijun Zheng, Monash-JITRI

This project aims to investigate the Pipe Belt Conveyors with several focuses: (1) Particle dynamics in transportation/starting/braking conditions, particularly in curved belt section where centrifugal eccentricity of particles causes belt twisting; (2) Effective friction between particle and belt in moving/resting and its influence on energy efficiency; (3) Impact of falling particles at loading point and the resulting belt breakage/erosion/fatigue.

Project Leader: Prof Aibing Yu, Monash-JITRI-Longking

The project include: (1) Lump particles screening/sieving dynamic modelling to understand different size particles trajectory and distribution, (2) Simulations of screening both in loading port and steel mills sites, (3) Effects of screen vibration parameters, aperture size and pad shape (e.g. banana), (4) Potential solutions of undersize screen-out efficiency improvement. The aim is to come up with some rules that can be used to support screen design and control under different conditions.

Project Leader: Dr Kejun Dong, WSU-JITRI

A universal, measurable index is important in order to quantify and benchmark the energy efficiency of a grinding process. This project is to develop an integrated mathematical framework to provide reliable and quantitative description of grinding processes. By incorporating the particle grindability from experiments and energy condition from granular dynamics simulations into a population balance model, we will develop a multi-scale model to predict mill performance based on some ‘fingerprint’ measures and first-principle information.

Project Leader: A/Prof Runyu Yang, UNSW-JITRI

This project will (1) study the lump breakage mechanism during handling due to impact and tumbling etc.; (2) develop a model to describe degradation caused by transfers and drops of particulate materials; (3) simulate the response of ores to different sequences of handling and transportation events from mine to loading port, and to ship, and from discharge port to steel mills site; (4) predict the proportion of particles broken and size distribution; (5) validate the model(s) against the data collected from drop tests of RTIO lump ore and actual handling routine.

Project Leader: Prof Aibing Yu & Dr Jieqing Gan, Monash-RioTinto-Baosteel-JITRI

The project is to develop understanding of multiphase flow and thermochemical behaviours related to PCI operation under the oxygen blast furnace (OBF) conditions and then optimise the PCI operations for a given OBF. (1) To develop and validate a computational model that can reliably describe the multiphase flow and thermochemical behaviours associated with PCI operation under the OBF conditions; (2) To understand the typical in-furnace phenomena of multiphase flow and thermochemical phenomena related to PCI operation under the OBF conditions; (3) To investigate the effects of key operational variables related to raw materials, operational and geometrical conditions on key PCI operational indicators under the OBF conditions; (4) To formulate strategies for the design, control and optimization of PCI operation under the OBF conditions, and then test the new technology by means of possible industrial test in a commercial BF.

Project Leader: A/Prof Yansong Shen, UNSW-JITRI

The project aims to develop a general averaging method for particulate systems and apply it to the simulations for process industry through achieving the following specific objectives: (1) To develop an averaging method to link the discrete and continuum approaches for particulate systems; (2) To develop model for continuum modelling; (3) To investigate the dynamics of particles in hopper and rotating drum and understand the governing mechanism at macro- and micro-scopic levels using the new averaging method.

Project Leader: A/Prof Haiping Zhu, WSU-JITRI

This project aims to improve the capability of DEM for simulating industrial processes through achievement of the following sub-objectives: (1) To implement recent techniques for modelling non-spherical particles in DEM; (2) To develop a standardized data exchange interface for the coupling of DEM to other numerical models (such as CFD and FEM) and parallel computing; (3) To develop comprehensive analysing tools for DEM simulated data; (4) To apply the developed DEM model in industrial applications, including: industrial screens with complicated vibration modes, industrial mixers with different mixing blades, belt conveyors, etc.

Project Leader: Dr Kejun Dong, WSU-JITRI