TY - GEN
T1 - Optimal structural design of a morphing aircraft wing using parallel non-dominated sorting genetic algorithm II (NSGA II)
AU - Bharti, Smita
AU - Frecker, Mary I.
AU - Lesieutre, George A.
PY - 2006
Y1 - 2006
N2 - Achieving multi-mission capability with a single aircraft through in-flight morphing of the wing is highly beneficial due to its efficiency under different flight conditions such as cruise and dash. In addition higher maneuverability is possible, from using such a vehicle. As opposed to traditional wing morphing where discrete surfaces such as hinged flaps and ailerons are used, the current research focus is directed towards achieving continuous morphing in order to reduce drag from geometric discontinuities. The present research aims to achieve continuous wing morphing by employing a wing structure comprised of an optimized internal layout of cables and struts. Cables are used as actuators while struts provide rigidity to the wing. In addition to achieving continuous morphing by changing cable length, this structure has the advantage of being light in weight. Also, distributed actuation may be achieved from this scheme. Topology optimization is utilized to optimally place cables and struts in a "bay" or a section of the wing. The optimization is achieved by using Genetic Algorithm. A Generic Algorithm, the Non-dominated Sorting Genetic Algorithm II (NSGA II) has been used in this work. The current paper gives an overview of the algorithm and discusses obtained results.
AB - Achieving multi-mission capability with a single aircraft through in-flight morphing of the wing is highly beneficial due to its efficiency under different flight conditions such as cruise and dash. In addition higher maneuverability is possible, from using such a vehicle. As opposed to traditional wing morphing where discrete surfaces such as hinged flaps and ailerons are used, the current research focus is directed towards achieving continuous morphing in order to reduce drag from geometric discontinuities. The present research aims to achieve continuous wing morphing by employing a wing structure comprised of an optimized internal layout of cables and struts. Cables are used as actuators while struts provide rigidity to the wing. In addition to achieving continuous morphing by changing cable length, this structure has the advantage of being light in weight. Also, distributed actuation may be achieved from this scheme. Topology optimization is utilized to optimally place cables and struts in a "bay" or a section of the wing. The optimization is achieved by using Genetic Algorithm. A Generic Algorithm, the Non-dominated Sorting Genetic Algorithm II (NSGA II) has been used in this work. The current paper gives an overview of the algorithm and discusses obtained results.
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U2 - 10.1117/12.659088
DO - 10.1117/12.659088
M3 - Conference contribution
AN - SCOPUS:33745810211
SN - 0819462195
SN - 9780819462190
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Smart Structures and Materials 2006
T2 - Smart Structures and Materials 2006: Modeling, Signal Processing, and Control
Y2 - 27 February 2006 through 2 March 2006
ER -