A Baseline Study and Calibration for Multidisciplinary Design Optimization of Hybrid Composite Wind Turbine Blade

Lee, Jin Woo; Gangadharan, Sathya N.; Mirmirani, Maj

doi:10.2514/6.2011-1902

Cited by 2 publications

(4 citation statements)

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“…It should be noted that the materials for this study are obtained from Refs. [26,27] rather than manufacturing datasheets, as the real fabrication data are proprietary material and very challenging to obtain. Table 4.…”

Section: Materials Propertiesmentioning

confidence: 99%

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Structural optimisation of vertical-axis wind turbine composite blades based on finite element analysis and genetic algorithm

Wang

Kolios

Nishino

et al. 2016

Composite Structures

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A wind turbine blade generally has complex structures including several layers of composite materials with shear webs, making its structure design very challenging. In this paper, a structural optimisation model for wind turbine composite blades has been developed based on a parametric FEA (finite element analysis) model and a GA (genetic algorithm) model. The optimisation model minimises the mass of composite blades with multi-criteria constraints. The number of unidirectional plies, the locations of the spar cap and the thicknesses of shear webs are taken as design variables. The optimisation model takes account of five constraints, i.e. stress constraint, deformation constraint, vibration constraint, buckling constraint, and manufacturing manoeuvrability and continuity of laminate layups constraint. The model has been applied to the blade structural optimisation of ELECTRA 30kW wind turbine, which is a novel VAWT (verticalaxis wind turbine) combining sails and V-shape arm. The mass of the optimised blade is 228kg, which is 17.4% lower than the initial design, indicating the blade mass can be significantly reduced by using the present optimisation model. It is demonstrated that the structural optimisation model presented in this paper is capable of effectively and accurately determining the optimal structural layups of composite blades.

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Section: Materials Propertiesmentioning

confidence: 99%

“…Table 4. Mechanical properties of materials [26,27] Material name  is the Poisson's ratio;  is the density; ply t is the thickness of the ply)…”

Section: Materials Propertiesmentioning

confidence: 99%

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Structural optimisation of vertical-axis wind turbine composite blades based on finite element analysis and genetic algorithm

Wang

Kolios

Nishino

et al. 2016

Composite Structures

View full text Add to dashboard Cite

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“…MDO has a wide variety of engineering-related applications; many of them related to fluid dynamics, such as wind turbine design [77,78], energy generation systems [79], windfarms [80] or, more particularly related to the subject of this thesis, aerospace engineering [81,82]. For instance, there are works related to the design of space launchers [83][84][85][86][87][88][89][90][91], vehicles [92][93][94] and satellites [95], thermal and power analysis [81], rotorcraft [96], wings [61,67,69,[97][98][99][100][101][102][103][104][105][106][107][108], fuselage [109,110], and complete subsonic [111][112][113], supersonic [114][115][116] and even hypersonic [117] aircraft.…”

Section: Multidisciplinary Design Optimizationmentioning

confidence: 99%

RPAS Design : an MDO Approach

Aliaga-Aguilar¹

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Unmanned aircraft and, particularly, RPAS (Remotely Piloted Aircraft Systems) are nowadays experiencing great growth both in the military and civil industries. This is due to the fact that removing the need to be manned has enabled the improvement of their endurance, range, and overall performance while, at the same time, reducing the risk to which human lives were exposed. In addition, RPAS can be made much smaller. This decrease of mass and size increases the variety of missions they can perform. However, the design process to manufacture such aircraft is often long and costly, which prevents small companies from undertaking it. Multidisciplinary Design Optimization (MDO) is an engineering field whose focus is to solve highly complex problems by the means of optimization techniques. It has been used in the design of commercial aircraft for a long time, but integrating the various engineering disciplines that take part in designing an RPAS within an MDO to simplify the design process is a challenge. In addition, there is an ample variety of architectures for MDO projects and, the reasons to choose a particular one, have to be discussed on a case by case basis. During the last years, distributed architectures have become widespread, given that they can take advantage of parallel computing (even with graphical platforms) and reduce computing time. Adapting the formulation of a problem to a particular vii Dissertation Overview Chapter 1: This is the introduction to the thesis. It presents the evolution of RPAS and the current state of the art both in MDO and in RPAS design methodologies. Chapter 2 introduces the Generic Parameter Penalty Architecture (GPPA): a new, flexible MDO architecture, oriented towards the solution of engineering problems that present different levels of complexity. Chapter 3 introduces the RPAS Advanced MDO Platform (RAMP). A new MDO environment aimed at the design of small RPAS. Chapters 4-7 present RAMP's main analysis models: aerodynamics, structure, economy and pricing, propulsion, and performance. Chapter 8 presents an application case of RAMP to a real-world mission. Chapter 8 does so by limiting RAMP's configuration availability to just classical. This provides the opportunity to compare its results to most commercially available RPAS, while Chapter 9 unleashes RAMP's full capabilities to also consider Blended Wing Body (BWB) and Canard configurations. Chapter 9 presents results for the various tests and hypothesis that are presented in the thesis, while Chapter 10 serves to give shape to the conclusions of the thesis and the future lines of research.

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A Baseline Study and Calibration for Multidisciplinary Design Optimization of Hybrid Composite Wind Turbine Blade

Cited by 2 publications

References 1 publication

Structural optimisation of vertical-axis wind turbine composite blades based on finite element analysis and genetic algorithm

Structural optimisation of vertical-axis wind turbine composite blades based on finite element analysis and genetic algorithm

RPAS Design : an MDO Approach

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