Optimum angular arrangement of a multi-light field imaging technique for flame temperature reconstruction

Abstract

A burner array produces a multi-modal flame temperature field and a compact combustion region. A multi-light field imaging technique can retrieve the multi-modal flame temperature accurately. However, the angular arrangement of the multi-light field imaging technique is a crucial factor that affects the accuracy of the temperature reconstruction. In this study, a method is proposed by integrating a Quantum-behaved Particle Swarm Optimization algorithm to optimise the angular arrangement of the multi-light field imaging technique and to achieve optimal accuracy of the flame temperature reconstruction. The proposed method is evaluated through numerical and experimental studies. The proposed method is also evaluated under different angular arrangements of the multi-light field camera system. Numerical results demonstrate that the optimal angular arrangement provides better reconstruction accuracy in comparison with different angular arrangements. The experimental results of the reconstructed temperature distributions of ethylene–air bimodal diffusion flames show that the proposed method has good applicability.