Induced-Strain Actuators for Morphing of Multi-Element Airfoils

A multi-objective optimization framework is developed to examine the capabilities of surface-mounted piezocomposites for camber morphing of multi-element airfoils for various sizes of aircraft. A parameterized piezocomposite-actuated airfoil concept, along with associated modeling and analysis methods, is presented for determining the static aeroelastic response of a morphing multi-element airfoil. The optimization algorithm is also presented for determining airfoil parameters for meeting an arbitrary mission objective. The optimization capability is demonstrated using a multi-element airfoil to produce high-lift control surface geometries. A model-scale prototype is designed based on the optimization and fabricated for experimental testing to validate the design framework and provide confidence for full-scale analysis. Full-scale morphing capability is examined using commercially available piezocomposite actuators for a small passenger jet, clearly quantifying the limitations of induced-strain actuation at large aerodynamic loading and Reynolds numbers. Additional design optimizations are conducted and presented with a so-called “vision” actuator that is not available today; however, it may become available in the future. It is shown that strain-induced actuation for large aircraft may become reality in the future with reasonable developments in smart materials.

Authors

Institutions

Publication Details

Journal
Journal of Aircraft
Published
2024-11-27
DOI
https://doi.org/10.2514/1.c037717
Citations
2
Primary Topic
Aeroelasticity and Vibration Control
Type
article
Field-Weighted Citation Impact
2.60

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Induced-Strain Actuators for Morphing of Multi-Element Airfoils

Onur Bilgen, Cody Wright
2 citations
Journal of Aircraft
Aeroelasticity and Vibration Control
2.60
article

Induced-Strain Actuators for Morphing of Multi-Element Airfoils

Onur Bilgen, Cody Wright
article en
2 citations

Abstract

A multi-objective optimization framework is developed to examine the capabilities of surface-mounted piezocomposites for camber morphing of multi-element airfoils for various sizes of aircraft. A parameterized piezocomposite-actuated airfoil concept, along with associated modeling and analysis methods, is presented for determining the static aeroelastic response of a morphing multi-element airfoil. The optimization algorithm is also presented for determining airfoil parameters for meeting an arbitrary mission objective. The optimization capability is demonstrated using a multi-element airfoil to produce high-lift control surface geometries. A model-scale prototype is designed based on the optimization and fabricated for experimental testing to validate the design framework and provide confidence for full-scale analysis. Full-scale morphing capability is examined using commercially available piezocomposite actuators for a small passenger jet, clearly quantifying the limitations of induced-strain actuation at large aerodynamic loading and Reynolds numbers. Additional design optimizations are conducted and presented with a so-called “vision” actuator that is not available today; however, it may become available in the future. It is shown that strain-induced actuation for large aircraft may become reality in the future with reasonable developments in smart materials.

Journal of AircraftVol. 62(2)
Rutgers, The State University of New Jersey (US), Rutgers Sexual and Reproductive Health and Rights (NL)
Aeronautics Research Mission Directorate
Affordable and clean energy
Openalex Percentile: Top 8%
Aeroelasticity and Vibration Control
2.60
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.