CARS spectroscopy on a Dry Low NOx methane/air burner

被引：0

作者：

Marrocco, M ^{[1
]}

D'Apice, M ^{[1
]}

Cipriani, R ^{[1
]}

Giammartini, S ^{[1
]}

机构：

[1] Quanta Syst, I-20157 Milan, Italy

来源：

OPTICAL METHODS FOR INDUSTRIAL PROCESSES | 2001年 / 4201卷

关键词：

CARS spectroscopy; CARS thermometry; Dry Low NOx technology; neural network;

D O I：

10.1117/12.417381

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The present work reports measurements on a GENERAL ELECTRIC Dry Low NOx premixed combustor (mod. DLN for gas turbine LM 1600, 2500 and 6000) by using broadband Coherent Anti-Stokes Raman Spectroscopy (CARS) in the planar BOXCARS configuration. Experimental spectra have been compared with theoretical nitrogen spectra at atmospheric pressure through a neural network analysis. In order to obtain instantaneous temperature measurements the simulated spectra have been calculated in a wide range of temperatures (300-2500 degreesK), thus permitting a fast comparison with the experimental spectra obtained from the name. The data obtained in this work, are now used to test numerical simulations of kinetic and chemical models employed in the code FLUENT.

引用

页码：82 / 90

页数：9

共 5 条

[1]

[Anonymous], 1998, FLUENT US GUID

[2]

BLACK JD, 1992, COHERENT RAMAN SPECT

[3] NEURAL-NETWORK PATTERN-RECOGNITION OF THERMAL-SIGNATURE SPECTRA FOR CHEMICAL DEFENSE [J].