Multilevel Optimization of a Morphing Structure Incorporating Shape Memory Alloy Wires

A methodology for optimizing a morphing structure, based on Shape Memory Alloy actuators is presented in this work. This work aims to define an efficient design that exploits the actuator capabilities in a reasonable range of the component loading. To this end, the optimization process is split in two levels. In the first level the tailoring of the structure's compliance is pursued, while in the second one the sizing of the actuators takes place. The combination of the modeling tools that are used is described. An aerospace component in a turbofan engine is considered as the demonstration model. The outcome of this study proves that the methodology followed is capable of producing satisfactory results for morphing structures incorporating Shape Memory Alloy actuators in a time efficient way.

[1]  James Bridges,et al.  Acoustics and Thrust of Quiet Separate-Flow High-Bypass-Ratio Nozzles , 2003 .

[2]  Ricardo A. Burdisso,et al.  Structural-acoustic control system design by multi-level optimization , 1998 .

[3]  Craig A. Phillips,et al.  Trajectory Optimization for a Missile Using a Multitier Approach , 2000 .

[4]  Darren J. Hartl,et al.  Modeling of Shape Memory Alloys Considering Rate-independent and Rate-dependent Irrecoverable Strains , 2011 .

[5]  Mary Frecker,et al.  Recent Advances in Optimization of Smart Structures and Actuators , 2003 .

[6]  Antonio Concilio,et al.  Optimization and integration of shape memory alloy (SMA)-based elastic actuators within a morphing flap architecture , 2012 .

[7]  Randolph H. Cabell,et al.  Design, fabrication, and testing of a SMA hybrid composite jet engine chevron , 2006, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[8]  Dimitris C. Lagoudas,et al.  Advanced methods for the analysis, design, and optimization of SMA-based aerostructures , 2011 .

[9]  Gary A. Fleming,et al.  Modeling, Fabrication, and Testing of a SMA Hybrid Composite Jet Engine Chevron Concept , 2006 .

[10]  D. Lagoudas Shape memory alloys : modeling and engineering applications , 2008 .

[11]  D. Lagoudas,et al.  Numerical implementation of a shape memory alloy thermomechanical constitutive model using return mapping algorithms , 2000 .

[12]  Frederick T. Calkins,et al.  Boeing's variable geometry chevron: morphing aerospace structures for jet noise reduction , 2006, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[13]  D K Smith,et al.  Numerical Optimization , 2001, J. Oper. Res. Soc..

[14]  Georges Dumont,et al.  Finite element simulation for design optimisation of shape memory alloy spring actuators , 2005 .

[15]  Fred van Keulen,et al.  Design optimization of shape memory alloy active structures using the R-phase transformation , 2007, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[16]  Dimitris C. Lagoudas,et al.  Design optimization and uncertainty analysis of SMA morphing structures , 2012 .

[17]  Randolph H. Cabell,et al.  Development of a SMA hybrid composite jet engine chevron concept , 2007, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[18]  Dikai Liu,et al.  Multi-level optimal design of buildings with active control under winds using genetic algorithms , 2000 .

[19]  G. Buckner,et al.  Design optimization of a shape memory alloy–actuated robotic catheter , 2012 .