Nonlinear analysis and optimization of diamond cell morphing wings

Terrence Johnson; Mary Frecker; James Joo; Mostafa Abdalla; Brian Sanders; Zafer Gurdal; Doug Lindner

doi:10.1115/IMECE2006-14398

Nonlinear analysis and optimization of diamond cell morphing wings

Terrence Johnson
, Mary Frecker
, James Joo
, Mostafa Abdalla
, Brian Sanders
, Zafer Gurdal
, Doug Lindner

Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

In this work, a design optimization procedure is developed to maximize the energy efficiency of a scissor mechanism for the NextGen's Batwing application. The unit cells are modeled using a finite element approach. The model considers elastic skin, modeled as linear springs, as well as actuator and aerodynamic loads. A nonlinear large displacement analysis is conducted, and the position of the actuator is optimized using Matlab's gradient based optimization algorithm FMINCON. This optimization procedure is used to investigate the effect of different constraints and load cases. The model is expanded to include multiple unit cells and actuators. A two stage optimization process using a Genetic Algorithm and traditional gradient based optimization (FMINCON) is also developed. The two stage optimization is used to optimize actuator position and placement for different constraints and load cases. Results show that placement and position optimization produce small gains in maximizing energy efficiency; morphing using a soft isotropic skin is more efficient than stiff isotropic and anisotropic skin. In addition, the GA did not use the all of the available actuators to maximize energy efficiency.

Original language	English (US)
Title of host publication	Proceedings of 2006 ASME International Mechanical Engineering Congress and Exposition, IMECE2006 - Aerospace Division
Publisher	American Society of Mechanical Engineers (ASME)
ISBN (Print)	0791837904, 9780791837900
DOIs	https://doi.org/10.1115/IMECE2006-14398
State	Published - 2006
Event	2006 ASME International Mechanical Engineering Congress and Exposition, IMECE2006 - Chicago, IL, United States Duration: Nov 5 2006 → Nov 10 2006

Publication series

Name	American Society of Mechanical Engineers, Aerospace Division (Publication) AD
ISSN (Print)	0733-4230

Conference

Conference	2006 ASME International Mechanical Engineering Congress and Exposition, IMECE2006
Country/Territory	United States
City	Chicago, IL
Period	11/5/06 → 11/10/06

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

Mechanical Engineering
Space and Planetary Science

Access to Document

10.1115/IMECE2006-14398

Cite this

Johnson, T., Frecker, M., Joo, J., Abdalla, M., Sanders, B., Gurdal, Z., & Lindner, D. (2006). Nonlinear analysis and optimization of diamond cell morphing wings. In Proceedings of 2006 ASME International Mechanical Engineering Congress and Exposition, IMECE2006 - Aerospace Division (American Society of Mechanical Engineers, Aerospace Division (Publication) AD). American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/IMECE2006-14398

Johnson, Terrence ; Frecker, Mary ; Joo, James et al. / Nonlinear analysis and optimization of diamond cell morphing wings. Proceedings of 2006 ASME International Mechanical Engineering Congress and Exposition, IMECE2006 - Aerospace Division. American Society of Mechanical Engineers (ASME), 2006. (American Society of Mechanical Engineers, Aerospace Division (Publication) AD).

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title = "Nonlinear analysis and optimization of diamond cell morphing wings",

abstract = "In this work, a design optimization procedure is developed to maximize the energy efficiency of a scissor mechanism for the NextGen's Batwing application. The unit cells are modeled using a finite element approach. The model considers elastic skin, modeled as linear springs, as well as actuator and aerodynamic loads. A nonlinear large displacement analysis is conducted, and the position of the actuator is optimized using Matlab's gradient based optimization algorithm FMINCON. This optimization procedure is used to investigate the effect of different constraints and load cases. The model is expanded to include multiple unit cells and actuators. A two stage optimization process using a Genetic Algorithm and traditional gradient based optimization (FMINCON) is also developed. The two stage optimization is used to optimize actuator position and placement for different constraints and load cases. Results show that placement and position optimization produce small gains in maximizing energy efficiency; morphing using a soft isotropic skin is more efficient than stiff isotropic and anisotropic skin. In addition, the GA did not use the all of the available actuators to maximize energy efficiency.",

author = "Terrence Johnson and Mary Frecker and James Joo and Mostafa Abdalla and Brian Sanders and Zafer Gurdal and Doug Lindner",

year = "2006",

doi = "10.1115/IMECE2006-14398",

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series = "American Society of Mechanical Engineers, Aerospace Division (Publication) AD",

publisher = "American Society of Mechanical Engineers (ASME)",

booktitle = "Proceedings of 2006 ASME International Mechanical Engineering Congress and Exposition, IMECE2006 - Aerospace Division",

note = "2006 ASME International Mechanical Engineering Congress and Exposition, IMECE2006 ; Conference date: 05-11-2006 Through 10-11-2006",

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Johnson, T, Frecker, M, Joo, J, Abdalla, M, Sanders, B, Gurdal, Z & Lindner, D 2006, Nonlinear analysis and optimization of diamond cell morphing wings. in Proceedings of 2006 ASME International Mechanical Engineering Congress and Exposition, IMECE2006 - Aerospace Division. American Society of Mechanical Engineers, Aerospace Division (Publication) AD, American Society of Mechanical Engineers (ASME), 2006 ASME International Mechanical Engineering Congress and Exposition, IMECE2006, Chicago, IL, United States, 11/5/06. https://doi.org/10.1115/IMECE2006-14398

Nonlinear analysis and optimization of diamond cell morphing wings. / Johnson, Terrence; Frecker, Mary; Joo, James et al.
Proceedings of 2006 ASME International Mechanical Engineering Congress and Exposition, IMECE2006 - Aerospace Division. American Society of Mechanical Engineers (ASME), 2006. (American Society of Mechanical Engineers, Aerospace Division (Publication) AD).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Nonlinear analysis and optimization of diamond cell morphing wings

AU - Johnson, Terrence

AU - Frecker, Mary

AU - Joo, James

AU - Abdalla, Mostafa

AU - Sanders, Brian

AU - Gurdal, Zafer

AU - Lindner, Doug

PY - 2006

Y1 - 2006

N2 - In this work, a design optimization procedure is developed to maximize the energy efficiency of a scissor mechanism for the NextGen's Batwing application. The unit cells are modeled using a finite element approach. The model considers elastic skin, modeled as linear springs, as well as actuator and aerodynamic loads. A nonlinear large displacement analysis is conducted, and the position of the actuator is optimized using Matlab's gradient based optimization algorithm FMINCON. This optimization procedure is used to investigate the effect of different constraints and load cases. The model is expanded to include multiple unit cells and actuators. A two stage optimization process using a Genetic Algorithm and traditional gradient based optimization (FMINCON) is also developed. The two stage optimization is used to optimize actuator position and placement for different constraints and load cases. Results show that placement and position optimization produce small gains in maximizing energy efficiency; morphing using a soft isotropic skin is more efficient than stiff isotropic and anisotropic skin. In addition, the GA did not use the all of the available actuators to maximize energy efficiency.

AB - In this work, a design optimization procedure is developed to maximize the energy efficiency of a scissor mechanism for the NextGen's Batwing application. The unit cells are modeled using a finite element approach. The model considers elastic skin, modeled as linear springs, as well as actuator and aerodynamic loads. A nonlinear large displacement analysis is conducted, and the position of the actuator is optimized using Matlab's gradient based optimization algorithm FMINCON. This optimization procedure is used to investigate the effect of different constraints and load cases. The model is expanded to include multiple unit cells and actuators. A two stage optimization process using a Genetic Algorithm and traditional gradient based optimization (FMINCON) is also developed. The two stage optimization is used to optimize actuator position and placement for different constraints and load cases. Results show that placement and position optimization produce small gains in maximizing energy efficiency; morphing using a soft isotropic skin is more efficient than stiff isotropic and anisotropic skin. In addition, the GA did not use the all of the available actuators to maximize energy efficiency.

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M3 - Conference contribution

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T3 - American Society of Mechanical Engineers, Aerospace Division (Publication) AD

BT - Proceedings of 2006 ASME International Mechanical Engineering Congress and Exposition, IMECE2006 - Aerospace Division

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ER -

Johnson T, Frecker M, Joo J, Abdalla M, Sanders B, Gurdal Z et al. Nonlinear analysis and optimization of diamond cell morphing wings. In Proceedings of 2006 ASME International Mechanical Engineering Congress and Exposition, IMECE2006 - Aerospace Division. American Society of Mechanical Engineers (ASME). 2006. (American Society of Mechanical Engineers, Aerospace Division (Publication) AD). doi: 10.1115/IMECE2006-14398

Nonlinear analysis and optimization of diamond cell morphing wings

Abstract

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UN SDGs

All Science Journal Classification (ASJC) codes

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