Title:

Towards  Quantitative Digital Color Flam Imaging and Non-Misleading Visualization

Lecturer:

Prof. ZHANG Yang

Time:

15:00, June  11, 2016

Venue:

405, Section  III, West Building, North Campus

Lecturer  Profile

Professor Yang Zhang  received BEng from Zhejiang University, China and PhD in the Engineering  Department of Cambridge University. He then worked as a Research Associate and  Research Fellow (Darwin College, Cambridge University) on two projects  (Integrated Diesel European Action : IDEA and the follow-on project IDEA  EFFECT) supported by six European car manufacturers and EU. After this, he  moved to UMIST and then the University of Manchester before taking the Chair of  Combustion and Energy in Sheffield.

His laboratory  specializes in combustion and advanced flow diagnostics. The combustion lab has  several lab scale burners for both fundamental research and teaching. Besides  the conventional diagnostic techniques, the group is known for in-house  developed diagnostic techniques, which can be applied not only in flame  dynamics studies but also in many fast moving dynamic systems. The team has  great strength in signal and image processing capabilities, including  multi-channel data acquisition, high speed imaging and stereo imaging.

Lecture  Abstract

The  presentation will show that a single high speed color camera is able to obtain  flame/flow information from 1D to 4D. It will also demonstrate that great care  has to be taken in analyzing and visualizing a flame image. What you see is  often not what it really is.