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Optical imaging of turbulent flames ̶ application to industrial gas fired furnaces

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  • Full or part time
    Dr Iain Burns
  • Application Deadline
    Applications accepted all year round
  • Self-Funded PhD Students Only
    Self-Funded PhD Students Only

Project Description

The aim of the project is to use novel laser diagnostic techniques to image the flow field in turbulent flames to improve the understanding of flame dynamics with particular application to heat-treating gas furnaces. The experimental results will be used for validation of computational models developed by a post-graduate researcher working on a linked project running in parallel.

Gas furnaces are commonly used in the manufacturing industry for the heat treatment of metals. Heat treated parts are used in a variety of industries (aerospace, automotive, naval) and the quality of the material is of paramount importance for its safe and reliable operation. At the same time, heat-treatment furnaces consume relatively large amounts of energy and produce large emissions both of which need to be optimised. Both the quality of the treated material and the furnace efficiency depend strongly on the flow, temperature, and species concentration fields.

The PhD student’s work will involve close collaboration, and time spent, at the Advanced Forming Research Centre (AFRC), as well as regular meetings with the industrial partner. Furthermore, the work will benefit from access to high-power laser imaging facilities at the University of Strathclyde. In addition, the student will be enrolled for the Postgraduate Certificate in Researcher Development (PGCert). This will serve as an additional qualification to help develop the student’s skills, networks but also career prospects.

Candidates applying should have (or expect to achieve) a minimum 2.1 undergraduate degree in a relevant discipline, applicants must be able to demonstrate enthusiasm, resourcefulness and a mature approach to learning. A high level of motivation to perform advanced experiments involving custom built optical set-ups is essential. Experience in programming (e.g. Matlab), is desirable. Knowledge and experience in the following areas are preferred: Chemical/Mechanical/Electrical Engineering, Physics, Physical Chemistry.

Information about the host department can be found by visiting:

Key words: Combustion, Industrial Furnaces, Energy, Efficiency, Emissions Control, Laser Diagnostics, Fluorescence Imaging, Model Validation

Funding Notes

This PhD project is initially offered on a self-funding basis. It is open to applicants with their own funding, or those applying to funding sources. However, excellent candidates will be eligible to be considered for a University scholarship.

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