TY - GEN
T1 - INVESTIGATING THE MIXTURE QUALITY IN MULTI-INJECTOR BURNER SYSTEMS, PART I
T2 - ASME Turbo Expo 2022: Turbomachinery Technical Conference and Exposition, GT 2022
AU - Macias, Fabian Marquez
AU - Hirsch, Christoph
AU - Sattelmayer, Thomas
AU - Huth, Michael
AU - Meisl, Jurgen
N1 - Publisher Copyright:
Copyright © 2022 by Siemens Energy.
PY - 2022
Y1 - 2022
N2 - A new approach to calculate the mixture statistics in multiinjector burner systems from a single injector data base is presented in the paper. In such systems, the mixture quality is highly sensitive to the flow rate and the skewness of the inflow velocity profile. To determine the mixture fraction statistics from these two parameters for a particular injector in a multi-injector configuration, O-POD is suggested using results from RANS-CFD as the observable. The O-POD mixing database is determined experimentally from two setups: First the mixture quality in a single injector at ideal inflow conditions is studied. Then the same injector type is investigated in a generic multi-injector burner system (MIB). To characterise the mixture quality, the mixing probability mass function (PMF) at the injector exit is measured by means of LIF and high speed imaging. The data obtained for both the single injector under ideal inflow and the MIB are presented. These studies of the mixture behaviour reveal that an asymmetric inflow velocity profile leads to a significant increase of unmixedness, which is seen as a negative skewness of the mixing PMFs. This effect becomes stronger at higher momentum flux density ratios due to the higher penetration depth of the fuel jets. The application of the O-POD to the database shows that the PMF can be accurately modeled with only 3 modes.
AB - A new approach to calculate the mixture statistics in multiinjector burner systems from a single injector data base is presented in the paper. In such systems, the mixture quality is highly sensitive to the flow rate and the skewness of the inflow velocity profile. To determine the mixture fraction statistics from these two parameters for a particular injector in a multi-injector configuration, O-POD is suggested using results from RANS-CFD as the observable. The O-POD mixing database is determined experimentally from two setups: First the mixture quality in a single injector at ideal inflow conditions is studied. Then the same injector type is investigated in a generic multi-injector burner system (MIB). To characterise the mixture quality, the mixing probability mass function (PMF) at the injector exit is measured by means of LIF and high speed imaging. The data obtained for both the single injector under ideal inflow and the MIB are presented. These studies of the mixture behaviour reveal that an asymmetric inflow velocity profile leads to a significant increase of unmixedness, which is seen as a negative skewness of the mixing PMFs. This effect becomes stronger at higher momentum flux density ratios due to the higher penetration depth of the fuel jets. The application of the O-POD to the database shows that the PMF can be accurately modeled with only 3 modes.
KW - Multi-injector burner
KW - O-POD
KW - mixing PDF
KW - unmixedness
UR - http://www.scopus.com/inward/record.url?scp=85141411362&partnerID=8YFLogxK
U2 - 10.1115/GT2022-82157
DO - 10.1115/GT2022-82157
M3 - Conference contribution
AN - SCOPUS:85141411362
T3 - Proceedings of the ASME Turbo Expo
BT - Combustion, Fuels, and Emissions
PB - American Society of Mechanical Engineers (ASME)
Y2 - 13 June 2022 through 17 June 2022
ER -