Abstract
The design and prototyping of jet engines is an extremely costly and laborious task. An alternative to at this is the development of variants of existing engines for enhanced performance which requires detailed modeling of engine in mathematical environment for precise evaluation of performance parameters. This paper presents mathematical modelling and sensitivity analysis of performance of RD-93, a low bypass turbofan engine, towards design parameters including pressure ratio of turbomachinery components, bypass ratio and critical temperatures. The effect of varying the efficiency of engine components on performance of overall engine is estimated using numerical environment of Numerical Propulsion System Simulation (NPSS). The results of performed analysis can serve as a guide for further parametric cycle analyses of low bypass turbofan engines.
Original language | English |
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Title of host publication | 2020 3rd International Conference on Computing, Mathematics and Engineering Technologies |
Subtitle of host publication | Idea to Innovation for Building the Knowledge Economy, iCoMET 2020 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781728149707 |
DOIs | |
State | Published - Jan 2020 |
Externally published | Yes |
Event | 3rd International Conference on Computing, Mathematics and Engineering Technologies, iCoMET 2020 - Sukkur, Pakistan Duration: 29 Jan 2020 → 30 Jan 2020 |
Publication series
Name | 2020 3rd International Conference on Computing, Mathematics and Engineering Technologies: Idea to Innovation for Building the Knowledge Economy, iCoMET 2020 |
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Conference
Conference | 3rd International Conference on Computing, Mathematics and Engineering Technologies, iCoMET 2020 |
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Country/Territory | Pakistan |
City | Sukkur |
Period | 29/01/20 → 30/01/20 |
Bibliographical note
Publisher Copyright:© 2020 IEEE.
Keywords
- bypass ratio
- low bypass turbofan
- mathematical modelling
- numerical propulsion system simulation
- pressure ratio
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Information Systems and Management
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Management, Monitoring, Policy and Law
- Computational Mathematics
- Control and Optimization