Q
Qiang Liu
Researcher at Arizona State University
Publications - 10
Citations - 109
Qiang Liu is an academic researcher from Arizona State University. The author has contributed to research in topics: Rotor (electric) & Helicopter rotor. The author has an hindex of 6, co-authored 10 publications receiving 108 citations.
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Modeling of smart composite box beams with nonlinear induced strain
TL;DR: In this paper, a new smart composite box beam model is developed to investigate the behavior of helicopter rotor blades built around the active box beam, where piezoelectric actuators and sensors are surface bonded on the walls of the composite box beams.
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Vibration reduction in rotor blades using active composite box beam
TL;DR: In this paper, the principal load-carrying member in the rotor blade is represented by a composite box beam, of arbitrary thickness, with surface-bonded self-sensing actuators.
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Aeromechanical stability analysis and control of smart composite rotor blades
TL;DR: In this paper, the use of segmented constrained layer damping treatment and closed loop control for improved rotor aeromechanical stability is investigated, where the ACLs are bonded to the upper and lower surfaces of the box beam to provide active and passive damping in the aerodynamic stability analysis and a transformation matrix is introduced to transform the time-variant system to a time-invariant system.
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Use of segmented constrained layer damping treatment for improved helicopter aeromechanical stability
TL;DR: In this article, the use of a segmented constrained layer (SCL) damping is investigated for improved rotor aeromechanical stability, where the SCLs are bonded to the upper and lower surfaces of the box beam to provide passive damping.
Journal ArticleDOI
Improved Helicopter Aeromechanical Stability Analysis Using Segmented Constrained Layer Damping and Hybrid Optimization
Qiang Liu,Aditi Chattopadhyay +1 more
TL;DR: In this paper, the use of segmented constrained damping layer (SCL) treatment and composite tailoring is investigated for improved rotor aeromechanical stability using formal optimization technique.