Issue |
Mechanics & Industry
Volume 20, Number 1, 2019
|
|
---|---|---|
Article Number | 107 | |
Number of page(s) | 18 | |
DOI | https://doi.org/10.1051/meca/2019004 | |
Published online | 04 April 2019 |
Regular Article
A one-dimensional stage un-stacking approach to reveal flow angles and speeds in a multistage axial compressor at the design operating point
1
School of Mechanical and Aerospace Engineering, Nanyang Technological University (NTU), 50 Nanyang Ave, 639798 Singapore, Singapore
2
Lloyd's Register Global Technology Centre, 1 Fusionopolis Place, #09-11 Galaxis, 138522 Singapore, Singapore
* e-mail: mykng@ntu.edu.sg
Received:
30
April
2018
Accepted:
23
January
2019
Stage stacking methods commonly use a one-dimensional (1D) through flow analysis at the mean line to design individual axial compressor stages and stack these to form a multistage axial compressor. This phase of design exerts a great influence on each stage's pressure and temperature ratio. The design process for an individual stage is usually guided by design values and rules developed in previous designs. This study develops a 1D stage un-stacking method (SUSM), which uses a minimal set of data from an actual axial compressor, while reducing the needed number of assumptions. Proceeding from the premise that an actual axial compressor design fulfills all thermodynamic requirements, velocity triangle requirements and design guidelines simultaneously, this proposed SUSM calculates the pressure, temperature, velocities and flow angles as a set of dependent data at each stage of the axial compressor. In approximating a possible axial compressor design for the LM2500 gas turbine that achieves the known pressure ratio distribution, the suggested stage loading coefficient (SLC) distribution is more appropriately considered an initial well-informed estimate and further improvements to this SUSM are needed to infer the actual SLC distributions used.
Key words: Multistage axial compressor / stage un-stacking approach / velocity triangle / flow design / aero-derivative gas turbine
© AFM, EDP Sciences 2019
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