Application of Laboratory Tests in Numerical Analysis for Exhaust Emissions in Business Jet Engines

This article deals with the exhaust emissions from aircraft turbine engines, which is related to the rapidly growing market for this type of aircraft and its contribution to toxic emissions. The test carried out was done on a business jet turbine engine exhaust pollutants. The test object was the DGEN 380 engine. In order to determine the toxic composition of the exhaust gas as a function of the engine's operating range, an experiment related to the actual engine was conducted in the first stage. The test performed on the static thrust stand of the DGEN 380 turbine engine provided the necessary data on the parameters of the working medium for further research. The actual rotational characteristics of the engine were obtained. It was also determined numerically using GasTurb software. A high correspondence between experimental and calculated parameters was obtained, which gave the possibility of using them in further analyses of the exhaust gas pollutants of the studied engine. The correspondence of the results showed the correctness of the computational model built, thus predestining it for use in further analysis. This paper presents a model of the reverse-flow combustor made for numerical thermal-fluid studies. The thermal-fluid analysis of the model was performed in the ANSYS Fluent environment. The calculations were performed for three shaft speed. The numerical analysis provided information on changes in pollutant components of the exhaust gas of the DGEN 380 aircraft turbine engine as a function of changes in the shaft speed range. The results showed that the levels of nitrogen oxides depend greatly on shaft speed. The model built and the numerical analyses conducted also provided information about the zones inside of liner casing that affect significantly the amount of pollutant compounds obtained, which can then be used in the work on improving the design in terms of reducing the engine exhaust pollutants.

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Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).