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Predicting Lean Blowout and Emissions of Aircraft Engine Combustion Chamber Based on CRN

  • Yinli Xiao EMAIL logo , Zhengxin Lai , Zupeng Wang and Kefei Chen
Published/Copyright: March 1, 2018
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Abstract

To predict the pollutant emissions and lean blowout, chemical reactor network (CRN) model is applied to the modern aircraft engine combustion chamber. In this study, the CRN which represent the major features of aerodynamics and combustion in the combustion chamber is set up based on the OpenFOAM simulation results. The boundary and the initial conditions used for the CRN derive from the operating modes of typical aircraft engine cycle. A 21 species 30 steps chemical mechanism of kerosene is employed in the CRN method. The levels of pollutant emissions are obtained under four ICAO engine power settings of idle, approach climb and take off. The lean blowout equivalent ratio is evaluated at the idle power setting. The results will be helpful to predict the aircraft engine exhaust emissions and lean blowout (LBO).

Nomenclature

σf

kerosene surface tension (N/m)

μf

dynamic viscosity (Pa·s)

m˙f

fuel mass flow rate (kg/s)

ΔPf

injector pressure difference (Pa)

kg

gas conductivity (W/m·K)

BM

the Spalding number

ρf

fuel density (kg/m3)

CP

gas specific heat (kJ/kg·K)

P

pressure of the incoming air (Pa)

T

temperature of the incoming air (K)

σ

standard deviation of Gaussian function

S

mixing parameter

ϕˉ

mean equivalence ratio

APU

Auxiliary Power Unit

CARS

Coherent Anti-Stokes Raman Scattering

CFD

Computational Fluid Dynamics

CRN

Chemical Reactor Network

EI

Emission Index

ICAO

International Civil Aviation Organization

LBO

Lean BlowOut

LTO

Landing/Taking Off

PFR

Plug Flow Reactor

PSR

Perfect Stirred Reactor

SMD

Sauter Mean Diameter

UHC

Unburned Hydrocarbon

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Received: 2017-12-18
Accepted: 2018-02-01
Published Online: 2018-03-01
Published in Print: 2019-05-27

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