Analysis of Soot Propensity in Combustion Processes Using Optical Sensors and Video Magnification

Area of Science:

• Combustion science and engineering
• Environmental science and pollution control
• Optical measurement techniques

Background:

• Industrial combustion processes generate particulate matter, contributing to air pollution and global warming.
• Smoke Point Height (SPH) analysis is crucial for assessing soot emission propensity but is prone to observer bias.
• Existing accurate methods like Line Of Sight Attenuation (LOSA) are often impractical for industrial settings.

Purpose of the Study:

• To introduce and evaluate Video Magnification (VM) techniques for objective SPH determination.
• To minimize observer bias inherent in traditional naked-eye SPH measurements.
• To assess the applicability of VM in industrial combustion analysis.

Main Methods:

• Application of Eulerian Video Magnification (EVM) and Phase-based Video Magnification (PVM) to an ethylene laminar diffusion flame.
• Comparison of VM-derived SPH measurements with established Line Of Sight Attenuation (LOSA) data.
• Analysis of flame morphological changes detected via video magnification.

Main Results:

• Both EVM and PVM were successfully applied to detect flame morphological changes indicative of SPH.
• EVM demonstrated superior accuracy in SPH determination compared to PVM and traditional methods.
• Results showed strong correlation with LOSA measurements, validating the VM approach.

Conclusions:

• Video Magnification, particularly EVM, offers a highly accurate and less biased method for SPH determination.
• This technique presents a practical alternative for industrial combustion monitoring.
• VM enhances the ability to control soot emissions and mitigate associated environmental impacts.