In-situ boundary layer transition detection on multi-segmental (a)synchronous morphing wings

This paper presents an experimental method to detect in-situ the location of transition on a multi-segmental trailing edge camber morphing wing during synchronous and asynchronous morphing. The wing consists of six independently morphing segments with two of the segments instrumented with eight embe...

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Autores principales:	Vincent L. Stuber, Tigran Mkhoyan, Roeland De Breuker, Sybrand van der Zwaag
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2022
Materias:	Piezoelectricity Laminar-to-turbulent transition Wind tunnel experiments Morphing wing Electric apparatus and materials. Electric circuits. Electric networks TK452-454.4
Acceso en línea:	https://doaj.org/article/a5c70302c30b415d8453b0fa0e8c80c5
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id	oai:doaj.org-article:a5c70302c30b415d8453b0fa0e8c80c5
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spelling	oai:doaj.org-article:a5c70302c30b415d8453b0fa0e8c80c52021-11-14T04:35:32ZIn-situ boundary layer transition detection on multi-segmental (a)synchronous morphing wings2665-917410.1016/j.measen.2021.100356https://doaj.org/article/a5c70302c30b415d8453b0fa0e8c80c52022-02-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2665917421003196https://doaj.org/toc/2665-9174This paper presents an experimental method to detect in-situ the location of transition on a multi-segmental trailing edge camber morphing wing during synchronous and asynchronous morphing. The wing consists of six independently morphing segments with two of the segments instrumented with eight embedded piezoelectric sensors distributed uniformly along the chord. Using suitable data processing, each of the sensors gives a signal that can be used to determine the state of the boundary layer (laminar, transitional, turbulent) at the location of that sensor. The results showed that synchronous morphing can substantially shift the location of transition, up to 20% of the chord length for angles of attack below 9°. Differences in the location of transition up to 5% are found between the near-root and near-tip segment. Using a dedicated data processing approach, the location of transition could be reconstructed in case of complex asynchronous morphing involving one to five segments. The results show a shift in the location of transition when morphing neighboring segments, but also show that non-neighboring segments have a minimal effect. This sensing method holds significant promise for online advanced morphing control to delay transition and thereby reducing skin friction drag.Vincent L. StuberTigran MkhoyanRoeland De BreukerSybrand van der ZwaagElsevierarticlePiezoelectricityLaminar-to-turbulent transitionWind tunnel experimentsMorphing wingElectric apparatus and materials. Electric circuits. Electric networksTK452-454.4ENMeasurement: Sensors, Vol 19, Iss , Pp 100356- (2022)
institution	DOAJ
collection	DOAJ
language	EN
topic	Piezoelectricity Laminar-to-turbulent transition Wind tunnel experiments Morphing wing Electric apparatus and materials. Electric circuits. Electric networks TK452-454.4
spellingShingle	Piezoelectricity Laminar-to-turbulent transition Wind tunnel experiments Morphing wing Electric apparatus and materials. Electric circuits. Electric networks TK452-454.4 Vincent L. Stuber Tigran Mkhoyan Roeland De Breuker Sybrand van der Zwaag In-situ boundary layer transition detection on multi-segmental (a)synchronous morphing wings
description	This paper presents an experimental method to detect in-situ the location of transition on a multi-segmental trailing edge camber morphing wing during synchronous and asynchronous morphing. The wing consists of six independently morphing segments with two of the segments instrumented with eight embedded piezoelectric sensors distributed uniformly along the chord. Using suitable data processing, each of the sensors gives a signal that can be used to determine the state of the boundary layer (laminar, transitional, turbulent) at the location of that sensor. The results showed that synchronous morphing can substantially shift the location of transition, up to 20% of the chord length for angles of attack below 9°. Differences in the location of transition up to 5% are found between the near-root and near-tip segment. Using a dedicated data processing approach, the location of transition could be reconstructed in case of complex asynchronous morphing involving one to five segments. The results show a shift in the location of transition when morphing neighboring segments, but also show that non-neighboring segments have a minimal effect. This sensing method holds significant promise for online advanced morphing control to delay transition and thereby reducing skin friction drag.
format	article
author	Vincent L. Stuber Tigran Mkhoyan Roeland De Breuker Sybrand van der Zwaag
author_facet	Vincent L. Stuber Tigran Mkhoyan Roeland De Breuker Sybrand van der Zwaag
author_sort	Vincent L. Stuber
title	In-situ boundary layer transition detection on multi-segmental (a)synchronous morphing wings
title_short	In-situ boundary layer transition detection on multi-segmental (a)synchronous morphing wings
title_full	In-situ boundary layer transition detection on multi-segmental (a)synchronous morphing wings
title_fullStr	In-situ boundary layer transition detection on multi-segmental (a)synchronous morphing wings
title_full_unstemmed	In-situ boundary layer transition detection on multi-segmental (a)synchronous morphing wings
title_sort	in-situ boundary layer transition detection on multi-segmental (a)synchronous morphing wings
publisher	Elsevier
publishDate	2022
url	https://doaj.org/article/a5c70302c30b415d8453b0fa0e8c80c5
work_keys_str_mv	AT vincentlstuber insituboundarylayertransitiondetectiononmultisegmentalasynchronousmorphingwings AT tigranmkhoyan insituboundarylayertransitiondetectiononmultisegmentalasynchronousmorphingwings AT roelanddebreuker insituboundarylayertransitiondetectiononmultisegmentalasynchronousmorphingwings AT sybrandvanderzwaag insituboundarylayertransitiondetectiononmultisegmentalasynchronousmorphingwings
_version_	1718429915421868032

In-situ boundary layer transition detection on multi-segmental (a)synchronous morphing wings

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