Panpan Tu , Guang Yang , Limin Gao , Tantao Liu , Song Yang
{"title":"前缘结垢对压气机叶栅气动性能的不确定性影响","authors":"Panpan Tu , Guang Yang , Limin Gao , Tantao Liu , Song Yang","doi":"10.1016/j.ast.2025.110235","DOIUrl":null,"url":null,"abstract":"<div><div>To investigate the uncertainty effects of leading edge fouling (Fouling-LE) on aerodynamic performance, uncertainty models are developed by integrating fouling thickness distribution with sparse grid techniques. The results indicate that Fouling-LE uncertainty reduces the available range of negative incidence by 2.5°, increases the likelihood of aerodynamic performance degradation (pressure ratio <em>π</em> and loss <em>ω</em>), raises the probability of a lower airflow turning angle, and introduces a significant risk of flow instability across all incidences. Specifically, the probability of Fouling-LE causing <em>π</em> to exceed the stable operating range is 16.14 % and 10.08 %, while the probability of <em>ω</em> exceeding the stable operating range is 9.88 % and 16.25 %, at the incidence of <em>i</em>=-2.5° and 7°, respectively. The influence of Fouling-LE on the flow field progressively extends downstream, altering the aerodynamic loading on the blade surfaces and inducing a forward shift in the transition position.</div></div>","PeriodicalId":50955,"journal":{"name":"Aerospace Science and Technology","volume":"162 ","pages":"Article 110235"},"PeriodicalIF":5.0000,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Uncertainty effect of leading edge fouling on aerodynamic performance of compressor cascades\",\"authors\":\"Panpan Tu , Guang Yang , Limin Gao , Tantao Liu , Song Yang\",\"doi\":\"10.1016/j.ast.2025.110235\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>To investigate the uncertainty effects of leading edge fouling (Fouling-LE) on aerodynamic performance, uncertainty models are developed by integrating fouling thickness distribution with sparse grid techniques. The results indicate that Fouling-LE uncertainty reduces the available range of negative incidence by 2.5°, increases the likelihood of aerodynamic performance degradation (pressure ratio <em>π</em> and loss <em>ω</em>), raises the probability of a lower airflow turning angle, and introduces a significant risk of flow instability across all incidences. Specifically, the probability of Fouling-LE causing <em>π</em> to exceed the stable operating range is 16.14 % and 10.08 %, while the probability of <em>ω</em> exceeding the stable operating range is 9.88 % and 16.25 %, at the incidence of <em>i</em>=-2.5° and 7°, respectively. The influence of Fouling-LE on the flow field progressively extends downstream, altering the aerodynamic loading on the blade surfaces and inducing a forward shift in the transition position.</div></div>\",\"PeriodicalId\":50955,\"journal\":{\"name\":\"Aerospace Science and Technology\",\"volume\":\"162 \",\"pages\":\"Article 110235\"},\"PeriodicalIF\":5.0000,\"publicationDate\":\"2025-04-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Aerospace Science and Technology\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1270963825003062\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, AEROSPACE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aerospace Science and Technology","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1270963825003062","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, AEROSPACE","Score":null,"Total":0}
Uncertainty effect of leading edge fouling on aerodynamic performance of compressor cascades
To investigate the uncertainty effects of leading edge fouling (Fouling-LE) on aerodynamic performance, uncertainty models are developed by integrating fouling thickness distribution with sparse grid techniques. The results indicate that Fouling-LE uncertainty reduces the available range of negative incidence by 2.5°, increases the likelihood of aerodynamic performance degradation (pressure ratio π and loss ω), raises the probability of a lower airflow turning angle, and introduces a significant risk of flow instability across all incidences. Specifically, the probability of Fouling-LE causing π to exceed the stable operating range is 16.14 % and 10.08 %, while the probability of ω exceeding the stable operating range is 9.88 % and 16.25 %, at the incidence of i=-2.5° and 7°, respectively. The influence of Fouling-LE on the flow field progressively extends downstream, altering the aerodynamic loading on the blade surfaces and inducing a forward shift in the transition position.
期刊介绍:
Aerospace Science and Technology publishes articles of outstanding scientific quality. Each article is reviewed by two referees. The journal welcomes papers from a wide range of countries. This journal publishes original papers, review articles and short communications related to all fields of aerospace research, fundamental and applied, potential applications of which are clearly related to:
• The design and the manufacture of aircraft, helicopters, missiles, launchers and satellites
• The control of their environment
• The study of various systems they are involved in, as supports or as targets.
Authors are invited to submit papers on new advances in the following topics to aerospace applications:
• Fluid dynamics
• Energetics and propulsion
• Materials and structures
• Flight mechanics
• Navigation, guidance and control
• Acoustics
• Optics
• Electromagnetism and radar
• Signal and image processing
• Information processing
• Data fusion
• Decision aid
• Human behaviour
• Robotics and intelligent systems
• Complex system engineering.
Etc.