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A review on flow visualisation of wind turbine blades in operation.

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Title: A review on flow visualisation of wind turbine blades in operation.
Authors: Chen, Qi1 (AUTHOR), Yang, Ruizhen2 (AUTHOR) xbaiyang@163.com, Liu, Xiangyi1 (AUTHOR), Deng, Baoyuan1 (AUTHOR), Wang, Hongjin1 (AUTHOR), He, Yunze1 (AUTHOR)
Source: Nondestructive Testing & Evaluation. Mar2026, Vol. 41 Issue 3, p1195-1216. 22p.
Subjects: Wind turbine blades, Flow visualization, Wind turbine aerodynamics, Infrared imaging, Wind turbines, Laminar boundary layer, Fluid dynamics
Abstract: For wind turbine blades (WTBs), boundary layer flow detection can help demonstrate their surface condition, indicate their early failures and global deformation, which becomes more important with the increasing number of in-service wind turbines. Compared with fluid dynamics (CFD) methods and blade element momentum (BEM) methods, flow visualisation method is an intuitive method, which can realise an unambiguous measurement of boundary layer flow on real wind turbines. As a result, some flow visualisation methods were proposed and improved by researchers in recent years. A comprehensive review on flow visualisation of wind turbine blades, especially in-service blades, is necessary to enable researchers to better understand this field and analyse the coming research trends. In this paper, flow visualisation methods were introduced, while emphasis was placed on infrared thermography (IRT) approaches. At last, an in-depth analysis of the future trends of IRT flow visualisation methods was given. [ABSTRACT FROM AUTHOR]
Copyright of Nondestructive Testing & Evaluation is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: A review on flow visualisation of wind turbine blades in operation.
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  Data: <searchLink fieldCode="AR" term="%22Chen%2C+Qi%22">Chen, Qi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Ruizhen%22">Yang, Ruizhen</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> xbaiyang@163.com</i><br /><searchLink fieldCode="AR" term="%22Liu%2C+Xiangyi%22">Liu, Xiangyi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Deng%2C+Baoyuan%22">Deng, Baoyuan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Hongjin%22">Wang, Hongjin</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22He%2C+Yunze%22">He, Yunze</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Nondestructive+Testing+%26+Evaluation%22">Nondestructive Testing & Evaluation</searchLink>. Mar2026, Vol. 41 Issue 3, p1195-1216. 22p.
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  Data: <searchLink fieldCode="DE" term="%22Wind+turbine+blades%22">Wind turbine blades</searchLink><br /><searchLink fieldCode="DE" term="%22Flow+visualization%22">Flow visualization</searchLink><br /><searchLink fieldCode="DE" term="%22Wind+turbine+aerodynamics%22">Wind turbine aerodynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Infrared+imaging%22">Infrared imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Wind+turbines%22">Wind turbines</searchLink><br /><searchLink fieldCode="DE" term="%22Laminar+boundary+layer%22">Laminar boundary layer</searchLink><br /><searchLink fieldCode="DE" term="%22Fluid+dynamics%22">Fluid dynamics</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: For wind turbine blades (WTBs), boundary layer flow detection can help demonstrate their surface condition, indicate their early failures and global deformation, which becomes more important with the increasing number of in-service wind turbines. Compared with fluid dynamics (CFD) methods and blade element momentum (BEM) methods, flow visualisation method is an intuitive method, which can realise an unambiguous measurement of boundary layer flow on real wind turbines. As a result, some flow visualisation methods were proposed and improved by researchers in recent years. A comprehensive review on flow visualisation of wind turbine blades, especially in-service blades, is necessary to enable researchers to better understand this field and analyse the coming research trends. In this paper, flow visualisation methods were introduced, while emphasis was placed on infrared thermography (IRT) approaches. At last, an in-depth analysis of the future trends of IRT flow visualisation methods was given. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Nondestructive Testing & Evaluation is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.1080/10589759.2025.2466813
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      – Code: eng
        Text: English
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        PageCount: 22
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      – SubjectFull: Wind turbine blades
        Type: general
      – SubjectFull: Flow visualization
        Type: general
      – SubjectFull: Wind turbine aerodynamics
        Type: general
      – SubjectFull: Infrared imaging
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      – SubjectFull: Wind turbines
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      – SubjectFull: Laminar boundary layer
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      – SubjectFull: Fluid dynamics
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      – TitleFull: A review on flow visualisation of wind turbine blades in operation.
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            NameFull: Chen, Qi
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              Text: Mar2026
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              Y: 2026
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