1. Clare College Graduate Research Forum Autoignition in Turbulent Flows Department of Engineering Christos Nicolaos Markides

2. DISCLAIMER This presentation: – Follows NO RULES – Has NO PARTICULAR FORMAT – Adheres to NO EXISTING (OR NOT) GUIDELINES on how to give good presentation – Simply follows A LOGICAL PROGRESSION FROM ONE POINT TO THE NEXT So sue me … or lets go … Apologies to scientists: I have stripped the talk bare of all mathematics (almost)…

3. STRUCTURE –(Food and drink …) WHAT? WHY? HOW? –(Food and drink …)

4. WHAT What is: – Autoignition? – Turbulent? What field of science does it belong to? What are the applications?

5. WHAT ELSE What do scientists (not really) know? –Premixed Autoignition (i.e. mixing out of the way), and, –Laminar Non-premixed Autoignition are pretty much sorted … What do scientists not know? –Anything about Turbulent Non-premixed Autoignition

6. WHY Why: – Autoignition? – Turbulent? Why is this important? Why are there things scientists do not know? Why are we going to do the things we are going to do?

7. HOW? How are we going to get: –Autoignition? –Turbulent? How is this going to help us understand?

8. REVIEW Predicting Turbulent Autoignition is very important because it will help improve pollutant emissions. It is a very complicated phenomenon, difficult to achieve and even more difficult to measure. Very few people know very few things about it (they are lying if they say otherwise). In the Department of Engineering we are leading the way in getting a better idea of how it works, when and where it will happen and what it looks like.

9. Basic Governing Equations for Mass, Momentum and Energy Turbulent Combustion Models

10. REVIEW Predicting Turbulent Autoignition is very important because it will help improve pollutant emissions. It is a very complicated phenomenon, difficult to achieve and even more difficult to measure. Very few people know very few things about it (they are lying if they say otherwise). In the Department of Engineering we are leading the way in getting a better idea of how it works, when and where it will happen and what it looks like.