Adaptive Blade Twist – calculations and experimental results

Büter, Andreas; Breitbach, E.

doi:10.1016/s1270-9638(00)00134-6

Cited by 30 publications

(14 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Buter and Breitbach [21] studied the twisting mode control using the thin-walled rectangular beam that was structurally equivalent to the model rotor blade of the BO105 helicopter with a scale of 2.54. Tzou et al [22] used a new x-actuator design for dual bending and twisting control of wings using a wide cantilever plate.…”

Section: Dynamic Shape Tracking Of Smart Platesmentioning

confidence: 99%

A sequential linear least square algorithm for tracking dynamic shapes of smart structures

Luo

Tong

2006

Int. J. Numer. Meth. Engng

View full text Add to dashboard Cite

SUMMARYThis paper presents a sequential linear least square algorithm for tracking dynamic shapes of piezoelectric smart structures. The dynamic shape discussed in this paper is defined as a host structural shape varying with time, and the tracking technique is to find an electric voltage history for each piezoelectric device over a time period so that the desired structural movements can be achieved. In the theoretical formulation, dynamic equations of piezoelectric smart structures are introduced by finite element analysis, and then a solution procedure for a set of time-dependent electric voltages is derived by combining the linear least square method and the Houbolt numerical integration scheme. The formulation indicates that this algorithm can be used to find the time-dependent voltages for tracking structural movements of piezoelectric smart structures. The present novel formulation is then demonstrated through numerical examples for tracking dynamic shapes of piezoelectric smart beams and plates. The numerical results for the smart beam are compared with the experimental ones. It is shown that the present sequential linear least square algorithm is capable of efficiently simulating dynamic shape tracking for smart structures.

show abstract

Section: Dynamic Shape Tracking Of Smart Platesmentioning

confidence: 99%

A sequential linear least square algorithm for tracking dynamic shapes of smart structures

Luo

Tong

2006

Int. J. Numer. Meth. Engng

View full text Add to dashboard Cite

show abstract

“…Possible applications encompass fields such as structural health monitoring of aircraft [38] and ships [39], deformable elements for flight control surfaces [40], deformable mirror and antennae surfaces on spacecraft [41], strain sensing for roads and bridges [42], machinery vibration control systems [43], and biomedical applications including micropumps [44] and targeted drug delivery [45]. …”

Section: Discussionmentioning

confidence: 99%

Stimuli-responsive transformation in carbon nanotube/expanding microsphere–polymer composites

Loomis¹,

Xu²,

Panchapakesan³

2013

Nanotechnology

View full text Add to dashboard Cite

Our work introduces a class of stimuli-responsive expanding polymer composites with ability to unidirectionally transform physical dimensions, elastic modulus, density, and electrical resistance. Carbon nanotubes and core-shell acrylic microspheres were dispersed in polydimethylsiloxane, resulting in composites that exhibit a binary set of material properties. Upon thermal or infrared stimuli, liquid cores encapsulated within the microspheres vaporize, expanding the surrounding shells and stretching the matrix. Microsphere expansion results in visible dimensional changes, regions of reduced polymeric chain mobility, nanotube tensioning, and overall elastic to plastic-like transformation of the composite. Here we show composite transformations including macroscopic volume expansion (>500%), density reduction (>80%), and elastic modulus increase (>675%). Additionally, conductive nanotubes allow for remote expansion monitoring and exhibit distinct loading-dependent electrical responses. With ability to pattern regions of tailorable expansion, strength, and electrical resistance into a single polymer skin, these composites present opportunities as structural and electrical building blocks in smart systems.

show abstract

“…A number of theoretical and experimental studies have been performed to estimate an active twist of helicopter rotor blades required to effect noise and vibration reduction benefits, as well as to improve the overall performance of helicopters [1][2][3][4]. The design of an active blade model based on a 1/6 th Mach-scale Chinook CH-47D has been reviewed in paper [1].…”

Section: Introductionmentioning

confidence: 99%

“…The design of an active blade model based on a 1/6 th Mach-scale Chinook CH-47D has been reviewed in paper [1]. The paper [2] presents investigations on the concept described as adaptive blade twist. It is based on a representative model in which the active part of the rotor blade is simplified with a thin-walled rectangular beam that is structurally equivalent to a model rotor blade of the Bo105 with a scaling factor 2.54.…”

Section: Introductionmentioning

confidence: 99%

Active Twist of Model Rotor Blades With D-Spar Design

2007

View full text Add to dashboard Cite

The design methodology based on the planning of experiments and response surface technique has been developed for an optimum placement of Macro Fiber Composite (MFC) actuators in the helicopter rotor blades. The baseline helicopter rotor blade consists of D‐spar made of UD GFRP, skin made of +450/‐450 GFRP, foam core, MFC actuators placement on the skin and balance weight. 3D finite element model of the rotor blade has been built by ANSYS, where the rotor blade skin and spar “moustaches” are modeled by the linear layered structural shell elements SHELL99, and the spar and foam ‐ by 3D 20‐node structural solid elements SOLID 186. The thermal analyses of 3D finite element model have been developed to investigate an active twist of the helicopter rotor blade. Strain analogy between piezoelectric strains and thermally induced strains is used to model piezoelectric effects. The optimisation results have been obtained for design solutions, connected with the application of active materials, and checked by the finite element calculations.

show abstract

Adaptive Blade Twist – calculations and experimental results

Cited by 30 publications

References 0 publications

A sequential linear least square algorithm for tracking dynamic shapes of smart structures

A sequential linear least square algorithm for tracking dynamic shapes of smart structures

Stimuli-responsive transformation in carbon nanotube/expanding microsphere–polymer composites

Active Twist of Model Rotor Blades With D-Spar Design

Contact Info

Product

Resources

About