| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 168510 | Combustion and Flame | 2015 | 7 Pages |
The present work focuses on the dynamic blowout sensing of compressed natural gas (CNG) turbulent inverse jet flame (IJF) based on the temporal CH∗ chemiluminescence signal acquired from the flame zone. The time varying CH∗ chemiluminescence signal exhibits lower fluctuation level for stable IJF. However, higher level of fluctuation in the temporal CH∗ intensity is observed as the IJF approaches blowout. In addition, the characterization of CH∗ chemiluminescence signature from IJF based on histogram and power spectral density are performed for delineating the stable and unstable IJF. Furthermore, a statistical parameter called normalized root mean square (NRMS), computed from the statistical analysis of CH∗ intensity signal is found to be effective in predicting the onset of blowout in CNG IJF. Apart from this, a methodology for sensing the proximity of blowout in CNG IJF is proposed based on NRMS which can be helpful in averting the unexpected blowout in IJF based combustion systems.
