Morphing Aircrafts

The concept of morphing does not have a stable definition, other than it refers to modifications of shapes – multi-purpose or stand-alone – for the purpose of improving the performances of the object to be morphed. The Defense Advanced Research Projects Agency or DARPA attempts to offer a definition for morphing by which researchers can be guided. According to DRAPA (McGowan et al., 2002), a morphing aircraft is one that:

• Changes its state substantially to adapt to changing mission environments;
• Provides superior system capability not possible without reconfiguration;
• Uses a design that integrates innovative combinations of advanced materials, actuators, flow controllers, and mechanisms to achieve the state change.

For most aircrafts, morphing usually applies to wings, high-lift devices such as ailerons and flaps and more rarely for tails (Nir and Abramovich, 2010), (Good, 2004) or helicopter blades (Kota, Hetrick and Osborn Jr, 2006). But morphing is not limited to these devices, it can also be present at engine level, for example in altering the engine outlet nozzle positions and geometry to achieve thrust vectoring as seen on the Harrier, Eurofighter and Joint Strike Fighter or on the rotation of the entire engine as in the V-22 Osprey.

Since the research developed in the present thesis pertains to the aspect of morphing wings and trailing edges, in this chapter only a review of morphing concepts applied to wing and wing components is addressed.

Morphing Wings

Historically, many concepts were developed as the idea of morphing by varying the wing component of an aircraft appeared in the first decades after the Second World War, as the first supersonic aircrafts were developed. An example is the variation in sweep angle for the Messerschmidtt P1101 (on ground) or for the Bell X-5 (in flight) in 1951. Other aircrafts were equipped with morphing wings to increase their performances in either sub- or supersonic flights: e.g. MiG-23 in 1967, Grumman F14 Tomcat in 1970 and the Rockwell B1-B Lancer 1983.

Wing morphing can be classified as function of the type of modification produced and the level of component at which it is produced. There is planform morphing characterised by changes in span, chord or sweep dimensions, out-of-plane morphing such as changes in twist or dihedral angles and airfoil morphing, which refers to the modification of the camber or thickness of the airfoil component of the wing, although there is no consensus on whether camber morphing is airfoil morphing or out-of-plane wing morphing and most authors consider it both.

Planform Wing Morphing 

As mentioned above, in-plane or planform morphing of the wing refers to changes in the structure of the wing that lead to modifications of the span, chord or sweep angle. In a NASA study for a NextGen-type of morphing aircraft, the wing was capable of increasing its root chord dimension and changed its sweep angle value in function of the mission leg proposed: take-off, ascent, cruise, loitering, dash, etc. Practically the wing shape was optimized as function of the behaviour desired for a specific mission leg; e.g if take-off was considered then an increase of the root chord would lead to an increase in the wing’s area which would lead to an increase in the lift force needed for the aircraft to take-off (Skillen and Crossley, 2008).

For span length modification two main designs were used: a first design was based on telescopic structures for dramatic changes in span length and the second design was based on scissor like mechanism for the wing box.

A wing was designed that was capable of changing its span with 38% more than its original length by using a telescopic pneumatic actuator made of thin-walled stainless steel cylinder and a carbon steel rod. Wind tunnel tests showed that the change in span length had an important impact on the wing performances by allowing a low drag to be maintained for a range of lift coefficients (Neal et al., 2004).

A reconfigurable wing box was developed using a four-bar mechanism with rigid links and with which the optimal location of a distributed network of actuators within the scissor wing box mechanism was studied (Joo et al., 2006).

A scissor-like mechanism was designed and manufactured to alter the wing’s span and sweep angle. This prototype, when tested, achieved a 55% span change using a spooling screw actuated by a DC motor (Bharti et al., 2007).

For chord changes along the span, an interpenetrating rib mechanism actuated by means of miniature DC motors and lead screws was designed and manufactured by (Reed Jr et al., 2005). Partial rib structures that could slide through a central slotted box and alter the chord wise position of the leading and trailing edges were used. The mechanism design allowed the camber bending due to aerodynamic loads to be supported by the ribs. The smooth operation of the lead and screw mechanism under transversal aerodynamic loads was studied. Other challenges were encountered for maintaining the chord wise bending stiffness. The mechanism had its disadvantages as well, the main being its weight and complexity, for which more optimization research was needed.

Table des matières

INTRODUCTION
0.1 Problem Statement
0.1.1 CRIAQ MDO 505 Morphing Architectures and Related Technologies for
Wing Efficiency Improvement
0.1.2 ATR-42 Morphing Wing Project
0.2 Research Objectives
0.3 Research Methodology and Models
0.3.1 Cubic Spline Interpolation
0.3.2 Genetic algorithm optimization procedure
0.3.3 The Artificial Bee Colony optimization procedure
0.3.4 The Gradient Descent Optimization Method
0.3.5 Morphing aileron shape optimization methods
0.3.6 XFoil aerodynamic solver
0.3.7 XFLR 5 aerodynamic code
0.3.8 Hypermesh Finite Element Modelling code
0.3.9 Optistruct Structural solver
0.3.10 MSC/Patran Finite Element Modelling code
0.3.11 MSC/Flight Loads and Dynamics Solutions solver
0.3.12 MSC/Nastran solver
CHAPTER 1 LITERATURE REVIEW
1.1 Morphing Aircrafts
1.1.1 Morphing Wings
1.1.2 Morphing Trailing Edge
1.2 Morphing Wing Objectives
1.3 Optimization Methods Applied to Morphing Wings
1.4 Multi-Disciplinary Optimization
CHAPTER 2 RESEARCH APPROACH AND THESIS ORGANIZATION
2.1 Thesis Research Approach
2.1.1 The ATR-42 ‘Morphing Wing’ Project
2.1.2 The CRIAQ MDO 505 Morphing Architectures and Related Technologies
for Wing Efficiency Improvement
2.2 Thesis Organization
2.2.1 First journal paper
2.2.2 Second journal paper
2.2.3 Third journal paper
2.2.4 Fourth journal paper
2.2.5 Fifth journal paper
2.3 Concluding Remarks
CHAPTER 3 NUMERICAL AND EXPERIMENTAL VALIDATION OF A
MORPHED GEOMETRY USING PRICE – PAÏDOUSSIS WIND
TUNNEL TESTING
3.1 Introduction
3.2 Methodology
3.2.1 Problem description
3.2.2 Genetic algorithm general description
3.2.3 Application of the genetic algorithm to the airfoil optimization problem
3.2.4 XFoil code description
3.3 Price-Païdoussis Subsonic Wind tunnel
3.4 Manufacturing of the rigid wing models
3.5 Pressure measurement system
3.6 Results
3.6.1 Analysis of the pressure distribution
3.6.2 Second derivative analysis of the pressure data for transition estimation
3.7 Conclusions
CHAPTER 4 DRAG OPTIMIZATION OF A WING EQUIPPED WITH A
MORPHING UPPER SURFACE
4.1 Introduction
4.2 Review of the CRIAQ MDO 505 project concept
4.2.1 Base airfoil performances
4.3 Optimization algorithm
4.4 Optimization results for the base airfoil
4.5 Airfoil optimization impact on wing model performances
4.6 Conclusions
CHAPTER 5 FLUTTER ANALYSIS OF A MORPHING WING TECHNOLOGY
DEMONSTRATOR: NUMERICAL SIMULATION AND WIND
TUNNEL TESTING
5.1 Introduction
5.2 Presentation of the Research Context
5.3 Detailed Finite Element Model Presentation
5.4 Flutter Analysis
5.4.1 Aero-Struture modeling
5.4.2 P-K method
5.4.3 Flutter analysis results
5.5 Wind Tunnel Testing
5.5.1 Wind Tunnel Description
5.5.2 Accelerometers results
5.6 Conclusions
CHAPTER 6 OPTIMIZATION AND DESIGN OF A MORPHING AIRCRAFT WING TIP DEMONSTRATOR FOR DRAG REDUCTION AT LOW SPEED,
PART I – AERODYNAMIC OPTIMIZATION USING 3
ALGORITHMS: GENETIC, BEE COLONY AND GRADIENT
DESCENT
6.1 Introduction
6.2 Presentation of the research context
6.3 Optimization Algorithm
6.3.1 Genetic Algorithm
6.3.2 Description of the problem
6.3.3 Genetic algorithm methodology
6.3.4 Genetic algorithm in comparison with two other optimization methods
6.4 Conclusions
CHAPTER 7 OPTIMIZATION AND DESIGN OF A MORPHING AIRCRAFT
WING-TIP DEMONSTRATOR AT LOW SPEED FOR DRAG
REDUCTION PART II – VALIDATION WITH INFRA RED
TRANSITION MEASUREMENT IN A WIND TUNNEL TEST
7.1 Introduction
7.2 Wing tip demonstrator with conventional aileron
7.3 Wind tunnel description and Infrared data aquisition
7.4 Optimization algorithm
7.5 Optimization simulation results versus experimental results
7.5.1 Comparison between numerical and experimental transition data
7.5.2 Evaluation of the experimental transition optimization
7.6 Conclusions
DISCUSSION OF RESULTS
GENERAL CONCLUSION

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