Flame imaging on EV-burner using ECT and data fusion with CFD

摘要

Flame visualization by tomographic techniques has great abilities to reveal the insight of combustion process, especially when it is combined with physical models of combustion itself.In this study, a data fusion algorithm is developed to investigate the flame distribution of a swirl-induced environ-mental (EV) burner, a new type of burner for low NOx combustion.An electric capacitance tomography (ECT) system is used to acquire 3D flame images and computational fluid dynamics (CFD) is applied to acquire an initial distribution of the temperature prone for the EV burner.Experiments were also carried out to visualize flames at a series about the burner.While the ECT images essentially agree with the CFD temperature distribution, discrepancy exists at certain height.When data fusion is applied, the discrepancy visibly reduced and the ECT images become improved.The methods used in this study can lead to a new route where combustion visualization can be much improved for clean energy conversion and new burner development.