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Experimental and numerical microfluidics

Miniaturisation is one of the most important current drivers for chemical and biological processes involved in gas sensing, water purification, cell culture and separation, and micro-reactors, among others, as it contributes to reducing costs while increasing performance and efficiency. The manipulation of small amounts of fluids at the microscale (microfluidics) offers several advantages such as speed, precision and control of those physical processes and holds the potential to deliver transformative technology capable of achieving fast, accurate and economical industrial solutions.With …

Study level
Vacation research experience scheme
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering

GPU acceleration for the lattice Boltzmann method

The lattice Boltzmann method has recently gained popularity for modelling complex fluid​ dynamics including in microfluidics and bio-engineering. The method is computationally expensive, especially for 3D calculations.The aim of this project is to benchmark the open-source TCLB code for the Lattice Boltzmann method against the codes currently used here at QUT to model flow phenomena. We particularly want to leverage the GPU capabilities of the TCLB code to reduce computational time.

Study level
Honours, Vacation research experience scheme
Faculty
Faculty of Engineering
School
School of Mechanical, Medical and Process Engineering

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