A Review of Stall Detection in Subsonic Axial Compressors
Stall events in axial compressor systems have been a limiting factor for efficiency of such systems and a source of safety concerns. The detection of the onset of stall, and in many cases the precursor of the onset of stall, have been of interest in the axial compressor community for many decades. A...
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MDPI AG
2024-12-01
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| Online Access: | https://www.mdpi.com/2075-1702/13/1/13 |
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| author | Kellie N. Wilson Golam Gause Jaman Anish Thapa Amirthavarshini Vivekananda Mitchell Lowe Zachary Grima Marco P. Schoen |
| author_facet | Kellie N. Wilson Golam Gause Jaman Anish Thapa Amirthavarshini Vivekananda Mitchell Lowe Zachary Grima Marco P. Schoen |
| author_sort | Kellie N. Wilson |
| collection | DOAJ |
| description | Stall events in axial compressor systems have been a limiting factor for efficiency of such systems and a source of safety concerns. The detection of the onset of stall, and in many cases the precursor of the onset of stall, have been of interest in the axial compressor community for many decades. As such, development of algorithms along with active control could lower cost, reduce emissions, improve safety, and increase market competitiveness. To gain an understanding of these stall phenomena, past and current research has focused on modeling axial compressors as dynamic systems, with a focus on obtaining descriptive formulations of the physical aspects of stall. Some of these approaches allow for active control measures that extend the stall margin of the compressor system to increase safety and efficacy. This paper reviews the major contributions in these listed pursuits and presents the latest methods and algorithms for stall precursor detection in low-speed axial compressors. In particular, a review is presented in the types and characteristics of stalls, the major mathematical models used to describe these systems, influences of physical attributes such as tip clearance, guide vanes, and groove casing—operating as passive control elements—but also active control utilities such as air injection are discussed along with a detailed review of existing stall precursor detection algorithms. In addition, a forward-looking projection is presented that includes the use of machine learning algorithms to further the understanding and the capability of stall precursor detection. |
| format | Article |
| id | doaj-art-8185346184b544f6b6212914b306cf59 |
| institution | Kabale University |
| issn | 2075-1702 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Machines |
| spelling | doaj-art-8185346184b544f6b6212914b306cf592025-01-24T13:39:08ZengMDPI AGMachines2075-17022024-12-011311310.3390/machines13010013A Review of Stall Detection in Subsonic Axial CompressorsKellie N. Wilson0Golam Gause Jaman1Anish Thapa2Amirthavarshini Vivekananda3Mitchell Lowe4Zachary Grima5Marco P. Schoen6Mechanical and Measurement & Control Engineering, Measurement and Control Engineering Research Center, Idaho State University, Pocatello, ID 83201, USAMechanical and Measurement & Control Engineering, Measurement and Control Engineering Research Center, Idaho State University, Pocatello, ID 83201, USAMechanical and Measurement & Control Engineering, Measurement and Control Engineering Research Center, Idaho State University, Pocatello, ID 83201, USAMechanical and Measurement & Control Engineering, Measurement and Control Engineering Research Center, Idaho State University, Pocatello, ID 83201, USAMechanical and Measurement & Control Engineering, Measurement and Control Engineering Research Center, Idaho State University, Pocatello, ID 83201, USAMechanical and Measurement & Control Engineering, Measurement and Control Engineering Research Center, Idaho State University, Pocatello, ID 83201, USAMechanical and Measurement & Control Engineering, Measurement and Control Engineering Research Center, Idaho State University, Pocatello, ID 83201, USAStall events in axial compressor systems have been a limiting factor for efficiency of such systems and a source of safety concerns. The detection of the onset of stall, and in many cases the precursor of the onset of stall, have been of interest in the axial compressor community for many decades. As such, development of algorithms along with active control could lower cost, reduce emissions, improve safety, and increase market competitiveness. To gain an understanding of these stall phenomena, past and current research has focused on modeling axial compressors as dynamic systems, with a focus on obtaining descriptive formulations of the physical aspects of stall. Some of these approaches allow for active control measures that extend the stall margin of the compressor system to increase safety and efficacy. This paper reviews the major contributions in these listed pursuits and presents the latest methods and algorithms for stall precursor detection in low-speed axial compressors. In particular, a review is presented in the types and characteristics of stalls, the major mathematical models used to describe these systems, influences of physical attributes such as tip clearance, guide vanes, and groove casing—operating as passive control elements—but also active control utilities such as air injection are discussed along with a detailed review of existing stall precursor detection algorithms. In addition, a forward-looking projection is presented that includes the use of machine learning algorithms to further the understanding and the capability of stall precursor detection.https://www.mdpi.com/2075-1702/13/1/13compressormodelingtip clearanceguide vanescasing treatmentstall precursor |
| spellingShingle | Kellie N. Wilson Golam Gause Jaman Anish Thapa Amirthavarshini Vivekananda Mitchell Lowe Zachary Grima Marco P. Schoen A Review of Stall Detection in Subsonic Axial Compressors Machines compressor modeling tip clearance guide vanes casing treatment stall precursor |
| title | A Review of Stall Detection in Subsonic Axial Compressors |
| title_full | A Review of Stall Detection in Subsonic Axial Compressors |
| title_fullStr | A Review of Stall Detection in Subsonic Axial Compressors |
| title_full_unstemmed | A Review of Stall Detection in Subsonic Axial Compressors |
| title_short | A Review of Stall Detection in Subsonic Axial Compressors |
| title_sort | review of stall detection in subsonic axial compressors |
| topic | compressor modeling tip clearance guide vanes casing treatment stall precursor |
| url | https://www.mdpi.com/2075-1702/13/1/13 |
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