Optimization Design of Laser Arrays Based on Absorption Spectroscopy Imaging for Detecting Temperature and...

Area of Science:

• Combustion diagnostics
• Optical spectroscopy
• Flame analysis

Background:

• Accurate temperature and concentration field detection in engine combustors is vital for efficiency and safety.
• Laminar absorption spectroscopy is a key technique for these measurements.
• Optimizing optical path configuration is crucial for improving reconstruction accuracy.

Purpose of the Study:

• To present a flame parameter field reconstruction model using laminar absorption spectroscopy.
• To develop and evaluate an optimization approach for optical path configuration.
• To enhance the precision of temperature and concentration field detection in non-axisymmetric flames.

Main Methods:

• Developed a flame parameter field reconstruction model based on laminar absorption spectroscopy.
• Employed simulated annealing (SA) and Harris's Hawk (HHO) algorithms for optical path optimization.
• Evaluated algorithm performance across various beam quantities for non-axisymmetric flames.

Main Results:

• Optimized optical path configurations significantly reduce imaging errors compared to conventional setups.
• The Harris's Hawk (HHO) algorithm outperformed the simulated annealing (SA) algorithm in optimization results and computational efficiency.
• HHO-optimized paths reduced temperature field error by 25.5% and concentration field error by 26.5% compared to parallel optical paths.

Conclusions:

• The proposed optimization approach effectively enhances detection precision in engine combustor diagnostics.
• The Harris's Hawk algorithm offers a superior method for optical path optimization in laminar absorption spectroscopy.
• Optimized optical configurations are essential for accurate and efficient combustion monitoring.