Bao Yong
Tue 10 Oct 2017, 13:00 - 13:30
Classroom 7, Hudson Beare Building, King’s Buildings, EH9 3JL

If you have a question about this talk, please contact: Aryan Kaushik (s1580884)

Abstract: Acoustic tomography is considered to be a promising technique for temperature field monitoring, with the advantage of non-invasive, low cost, high temporal resolution and ease of use. However, in the combustion process, the gradient of the temperature field could be relatively large, the commonly used straight ray acoustic tomography may not be able to provide accurate quantitative temperature field estimation due to refraction effect. Therefore, the bent ray model and nonlinear reconstruction algorithm is applied, which allows the sound propagation trajectories and temperature distribution being reconstructed iteratively from the time-of-flight (TOF) measurements. Based on local linearity assumption, each reconstruction iteration consists of two steps, the ray tracing step to calculate the ray trajectories from the obtained temperature field estimation, and the reconstruction step, which is to solve the inverse problem and update the temperature field estimation. The feasibility and effectiveness of the developed methods are validated in simulations.

 

Biography: Bao Yong received his BEng Hons degree from Dalian University of Technology, China in 2014. He achieved his MSc degree with distinction from the University of Edinburgh in 2015. Currently, he is a PhD candidate at the student of the Agile Tomography Group at IDCOM, University of Edinburgh. His research is focused on measuring temperature field and flow velocity using acoustic travel-time tomography.