Experimental validation of a shape-memory alloy slat-cove filler: Structural response and computational model development. (October 2020)
- Record Type:
- Journal Article
- Title:
- Experimental validation of a shape-memory alloy slat-cove filler: Structural response and computational model development. (October 2020)
- Main Title:
- Experimental validation of a shape-memory alloy slat-cove filler: Structural response and computational model development
- Authors:
- Patterson, Ryan
Scholten, William
Strganac, Thomas
Turner, Travis
Hartl, Darren - Abstract:
- Current and expected Federal Aviation Administration regulations are pressuring the aerospace industry to develop new technologies that reduce aeroacoustic emissions, which may affect the health and well-being of community members. With recent technological advancements reducing noise emissions from aircraft engines, airframe noise sources now represent a large component of the total emitted noise during approach and landing. This research investigates a shape-memory alloy slat-cove filler concept, which is a promising noise reduction technology for the leading-edge-slat high-lift system. Aerodynamic and structural experiments are conducted with the purpose of characterizing response under relevant flow conditions. A model-scale wing section prototype was treated with a slat-cove filler and used to compare aerodynamic effects of the shape-memory alloy treatment at multiple settings. It is shown that the addition of the slat-cove filler does not detrimentally impact the aerodynamic response of the wing prototype and actually resulted in a higher lift-to-drag ratio. Aerostructural experiments were conducted incorporating Digital Image Correlation measurements and displacement measurements from a custom-designed system based on a laser displacement sensor. These experiments determined the structural response of the shape-memory alloy slat-cove filler during a typical retraction/deployment cycle under relevant wind tunnel test conditions and compared to results from a finiteCurrent and expected Federal Aviation Administration regulations are pressuring the aerospace industry to develop new technologies that reduce aeroacoustic emissions, which may affect the health and well-being of community members. With recent technological advancements reducing noise emissions from aircraft engines, airframe noise sources now represent a large component of the total emitted noise during approach and landing. This research investigates a shape-memory alloy slat-cove filler concept, which is a promising noise reduction technology for the leading-edge-slat high-lift system. Aerodynamic and structural experiments are conducted with the purpose of characterizing response under relevant flow conditions. A model-scale wing section prototype was treated with a slat-cove filler and used to compare aerodynamic effects of the shape-memory alloy treatment at multiple settings. It is shown that the addition of the slat-cove filler does not detrimentally impact the aerodynamic response of the wing prototype and actually resulted in a higher lift-to-drag ratio. Aerostructural experiments were conducted incorporating Digital Image Correlation measurements and displacement measurements from a custom-designed system based on a laser displacement sensor. These experiments determined the structural response of the shape-memory alloy slat-cove filler during a typical retraction/deployment cycle under relevant wind tunnel test conditions and compared to results from a finite element analysis model. … (more)
- Is Part Of:
- Journal of intelligent material systems and structures. Volume 31:Number 17(2020)
- Journal:
- Journal of intelligent material systems and structures
- Issue:
- Volume 31:Number 17(2020)
- Issue Display:
- Volume 31, Issue 17 (2020)
- Year:
- 2020
- Volume:
- 31
- Issue:
- 17
- Issue Sort Value:
- 2020-0031-0017-0000
- Page Start:
- 1986
- Page End:
- 2001
- Publication Date:
- 2020-10
- Subjects:
- Shape-memory alloys -- slat-cove filler -- aerostructural -- superelastic -- aircraft
Smart materials -- Periodicals
Intelligent control systems -- Periodicals
Artificial intelligence -- Periodicals
Matériaux intelligents -- Périodiques
Commande intelligente -- Périodiques
Intelligence artificielle -- Périodiques
620.11 - Journal URLs:
- http://jim.sagepub.com/ ↗
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http://firstsearch.oclc.org/journal=1045-389x;screen=info;ECOIP ↗ - DOI:
- 10.1177/1045389X20942321 ↗
- Languages:
- English
- ISSNs:
- 1045-389X
- Deposit Type:
- Legaldeposit
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