Analytical model for the performance estimation of pre-cooled pulse detonation turbofan engines
Paper i proceeding, 2017

This paper proposes a pulse detonation combustion (PDC) model integrated within Chalmers University' s gas turbine simulation tool GESTPA N (GEneral Stationary and Transient Propulsion ANalsysis). The model will support the development of novel aircraft engine architectures exploiting the synergies between intercooling, aftercooling and PDC. The proposed engine architectures are based on a reference high bypass ratio geared-turbofan engine model with performance levels estimated to be available by year 2050. Parametric studies have been carried out for each proposed advanced architecture, providing engine cycle mid-cruise design point parameters. Design sensitivity studies related to intercooling technology in combination with a PDC are further explored for a number of heat-exchanger design effectiveness values and associated pressure loss levels. The acquired results suggest that the incorporation of PDC technology within a conventional core has the potential to significantly improve engine thermal efficiency. Incorporating intercooling improves the cycle performance for any pre-combustion OPR above 10 and contributes to an increase in specific power over the entire range of OPR. Finally, the results demonstrate that aftercooling the high pressure compressor delivery air further improves core specific power, but cancels out any SFC and thermal efficiency benefits arising from pulse detonation.

Författare

Carlos Xisto

Chalmers, Tillämpad mekanik, Strömningslära

Fakhre Ali

Chalmers, Tillämpad mekanik, Strömningslära

Olivier Petit

Chalmers, Tillämpad mekanik, Strömningslära

Tomas Grönstedt

Chalmers, Tillämpad mekanik, Strömningslära

Andrew Rolt

Cranfield University

Anders Lundbladh

GKN Aerospace

Proceedings of the ASME Turbo Expo

Vol. 1

Styrkeområden

Transport

Ämneskategorier

Rymd- och flygteknik

Strömningsmekanik och akustik

Infrastruktur

C3SE (Chalmers Centre for Computational Science and Engineering)

DOI

10.1115/GT2017-63776

ISBN

9780791850770