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Development of method and computer program for multistage axial compressor design: part I - mean line design and example cases
dc.creator | Banjac, Milan | |
dc.creator | Petrović, Milan | |
dc.date.accessioned | 2022-09-19T18:36:33Z | |
dc.date.available | 2022-09-19T18:36:33Z | |
dc.date.issued | 2018 | |
dc.identifier.uri | https://machinery.mas.bg.ac.rs/handle/123456789/2956 | |
dc.description.abstract | An axial compressor loss and deviation model that was developed and presented during previous research has now been used to develop a computer program for multistage compressor design. A set of input data including overall parameters such as pressure ratio and mass flow rate and the first-stage parameters such as inlet flow coefficient and rotor tip Mach number are used to determine a number of stages and their geometry, speed and relevant flow properties. Then a subsequent redistribution of parameters for separate stages can be carried out in order to increase the stability indicators and efficiency over a desired operating range. A selected stage vortex law determines velocity triangles and blading geometry for hub and tip sections, which allows the generation of a realistic flow path shape. The developed program is considered to be a flexible and stable tool useful for tasks of manual or automated optimization when combined with an external optimization algorithm. This paper presents a basic mathematical model and the level of accuracy achieved. This is demonstrated through examples of manual design and redesign cases, while automated optimization will be included in future research. | en |
dc.publisher | American Society of Mechanical Engineers (ASME) | |
dc.rights | restrictedAccess | |
dc.source | Proceedings of the ASME Turbo Expo | |
dc.title | Development of method and computer program for multistage axial compressor design: part I - mean line design and example cases | en |
dc.type | conferenceObject | |
dc.rights.license | ARR | |
dc.citation.other | 2C-2018: - | |
dc.citation.rank | M33 | |
dc.citation.volume | 2C-2018 | |
dc.identifier.doi | 10.1115/GT201875410 | |
dc.identifier.scopus | 2-s2.0-85054099297 | |
dc.identifier.wos | 000456493800007 | |
dc.type.version | publishedVersion |
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