Optimization of turbulent transition delay effect using quasi-statically transforming wall roughness shape

Boundary-layer transition on swept wings is dominantly caused by the crossflow instability, which is expected to be suppressed by placing artificial roughness elements near the leading edge. It is however difficult to find the optimal roughness shape by using direct numerical simulation (DNS), becau...

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Main Authors: Takayuki SHIROSAKI, Makoto HIROTA, Yuji HATTORI
Format: Article
Language:English
Published: The Japan Society of Mechanical Engineers 2022-10-01
Series:Journal of Fluid Science and Technology
Subjects:
Online Access:https://www.jstage.jst.go.jp/article/jfst/17/3/17_2022jfst0010/_pdf/-char/en
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author Takayuki SHIROSAKI
Makoto HIROTA
Yuji HATTORI
author_facet Takayuki SHIROSAKI
Makoto HIROTA
Yuji HATTORI
author_sort Takayuki SHIROSAKI
collection DOAJ
description Boundary-layer transition on swept wings is dominantly caused by the crossflow instability, which is expected to be suppressed by placing artificial roughness elements near the leading edge. It is however difficult to find the optimal roughness shape by using direct numerical simulation (DNS), because a lot of computations are required for assessing a suppression effect due to one roughness shape. In this study, we develop an efficient method to evaluate the suppression effect for a series of roughness shapes by changing a shape parameter quasi-statically and observing the subsequent change of the crossflow mode at a downstream position. Since the mode grows spatially as convective instability, we need to allow for the delay time for the change in the shape to cause the change in the mode. This method is demonstrated for optimizing the height and angle of sinusoidal roughness elements. By applying a volume penalization (VP) method, the height and angle are changed slowly in DNS, where the initial values, rates of change and permeability of the VP method should be chosen appropriately to reproduce the correct results for the fixed shapes. The method developed here shows that the suppression (or laminarizing) effect tends to be improved as the height is increased, but there is a critical height at which flow tripping occurs. Both the laminarization effect and the critical height vary greatly depending on the angle. This result suggests the optimal roughness shape, considering the effectiveness and robustness. For laminar flow control, this method is useful for optimizing the wall roughness shape.
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spelling doaj.art-7591c5cdcfd54c1280bd80e63c9e88942022-12-22T04:38:08ZengThe Japan Society of Mechanical EngineersJournal of Fluid Science and Technology1880-55582022-10-01173JFST0010JFST001010.1299/jfst.2022jfst0010jfstOptimization of turbulent transition delay effect using quasi-statically transforming wall roughness shapeTakayuki SHIROSAKI0Makoto HIROTA1Yuji HATTORI2Institute of Information Science, Tohoku UniversityInstitute of Fluid Science, Tohoku UniversityInstitute of Fluid Science, Tohoku UniversityBoundary-layer transition on swept wings is dominantly caused by the crossflow instability, which is expected to be suppressed by placing artificial roughness elements near the leading edge. It is however difficult to find the optimal roughness shape by using direct numerical simulation (DNS), because a lot of computations are required for assessing a suppression effect due to one roughness shape. In this study, we develop an efficient method to evaluate the suppression effect for a series of roughness shapes by changing a shape parameter quasi-statically and observing the subsequent change of the crossflow mode at a downstream position. Since the mode grows spatially as convective instability, we need to allow for the delay time for the change in the shape to cause the change in the mode. This method is demonstrated for optimizing the height and angle of sinusoidal roughness elements. By applying a volume penalization (VP) method, the height and angle are changed slowly in DNS, where the initial values, rates of change and permeability of the VP method should be chosen appropriately to reproduce the correct results for the fixed shapes. The method developed here shows that the suppression (or laminarizing) effect tends to be improved as the height is increased, but there is a critical height at which flow tripping occurs. Both the laminarization effect and the critical height vary greatly depending on the angle. This result suggests the optimal roughness shape, considering the effectiveness and robustness. For laminar flow control, this method is useful for optimizing the wall roughness shape.https://www.jstage.jst.go.jp/article/jfst/17/3/17_2022jfst0010/_pdf/-char/enswept wingcrossflow instabilitypassive flow controlboundary layer transitionlaminarization
spellingShingle Takayuki SHIROSAKI
Makoto HIROTA
Yuji HATTORI
Optimization of turbulent transition delay effect using quasi-statically transforming wall roughness shape
Journal of Fluid Science and Technology
swept wing
crossflow instability
passive flow control
boundary layer transition
laminarization
title Optimization of turbulent transition delay effect using quasi-statically transforming wall roughness shape
title_full Optimization of turbulent transition delay effect using quasi-statically transforming wall roughness shape
title_fullStr Optimization of turbulent transition delay effect using quasi-statically transforming wall roughness shape
title_full_unstemmed Optimization of turbulent transition delay effect using quasi-statically transforming wall roughness shape
title_short Optimization of turbulent transition delay effect using quasi-statically transforming wall roughness shape
title_sort optimization of turbulent transition delay effect using quasi statically transforming wall roughness shape
topic swept wing
crossflow instability
passive flow control
boundary layer transition
laminarization
url https://www.jstage.jst.go.jp/article/jfst/17/3/17_2022jfst0010/_pdf/-char/en
work_keys_str_mv AT takayukishirosaki optimizationofturbulenttransitiondelayeffectusingquasistaticallytransformingwallroughnessshape
AT makotohirota optimizationofturbulenttransitiondelayeffectusingquasistaticallytransformingwallroughnessshape
AT yujihattori optimizationofturbulenttransitiondelayeffectusingquasistaticallytransformingwallroughnessshape