EconPapers    
Economics at your fingertips  
 

A new transient performance adaptation method for an aero gas turbine engine

Sangjo Kim, Kuisoon Kim and Changmin Son

Energy, 2020, vol. 193, issue C

Abstract: The performance adaptation method based on the transient measurement data is proposed to generate a dynamic simulation model for gas turbine engines. The performance maps of the compressors and turbines are adjusted by using scaling factors. The time delay in transient temperature measurement is considered in the performance adaptation process by independently modeling a thermocouple section. A new heat transfer correction factor is introduced for the thermocouple modeling. Optimization techniques are employed to find the scaling factors and the heat transfer correction factor. Low-bypass ratio mixed-flow turbofan engines (F100 and F404-GE-400 engines) are employed for testing the proposed method and evaluating its effectiveness. The results reveal that the adapted engine model has good agreement with transient measurement data for the turbofan engines. In particular, the turbine exit temperature from a thermocouple shows a large time delay during transient operation. It has been confirmed that the proposed method can predict the temperatures for the thermocouple and the main flow path, respectively. As a result, the accuracy of the performance adaptation could be improved by considering the time delay for the turbine outlet temperature.

Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0360544219324478
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:193:y:2020:i:c:s0360544219324478

DOI: 10.1016/j.energy.2019.116752

Access Statistics for this article

Energy is currently edited by Henrik Lund and Mark J. Kaiser

More articles in Energy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:energy:v:193:y:2020:i:c:s0360544219324478