Aeronautical and Space-Rocket Engineering
Thermal engines, electric propulsion and power plants for flying vehicles
DOI: 10.34759/vst-2020-4-133-146
Аuthors
*, **, ***Samara National Research University named after Academician S.P. Korolev, 34, Moskovskoye shosse, Samara, 443086, Russia
*e-mail: dr.hewa.omar@gmail.com
**e-mail: kuzm@ssau.ru
***e-mail: tau@ssau.ru
Abstract
One of the trends for gas turbine engines cycle improving, allowing enhancing their efficiency, reducing specific fuel consumption and nitrogen oxides discharge, is exhaust gases regeneration through installing recuperator at the turbine outlet, in which a part of heat is being transferred to the air behind the compressor.
Comprehensive parameters optimization of the thermodynamic cycle of gas turbines, such as gas temperature T*4 and compressor pressure ratior r*cΣ, as well as parameters, defining the workflow of additional units like heat exchanger recovery factor, play an important role in its efficiency improving. Computer models of the bypass two-shaft turbojet engines with heat regeneration (TJER) developed in ASTRA CAE-system allowed realizing the problem solution of nonlinear multi-criteria optimization of their working process, and defining the most rational schemes depending of designated purpose and TJER operation conditions.
Based on the developed method of multi-criteria optimization numerical modelling was performed. The article presents the results of parameters optimization of the TJER working process in the system of Airbus A310 passenger plane by suc criteria as total mass of the power plant, and fuel consumed for the flight, as well as fuel consumption intensity per ton-kilometer and specific fuel consumption. The developed mathematical model for compact heat exchanger mass computing intended for solving optimization problems at the stage of conceptual design of the engine. The developed methods and models were realized in ASTRA CAE system.
Keywords:
bypass gas turbine engine, heat exchanger, thermodynamic cycle, mathematical model, optimization, criterion, working process parameters, recovery factor, optimal parameters area, calculation resultsReferences
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