scholarly journals A Strategy for Reliability-Based Multidisciplinary Design Optimization of Wind Turbine Using BLISS and PMA

2014 ◽  
Vol 5 (1) ◽  
Author(s):  
S. Mousavi
Keyword(s):  
Wind Turbine ◽  
Design Optimization ◽  
Multidisciplinary Design Optimization ◽  
Multidisciplinary Design

Multidisciplinary Design Optimization for Small Vertical Wind Turbine Design

2014 ◽  
Vol 571-572 ◽  
pp. 1083-1086
Author(s):  
Qiu Yun Mo ◽  
Fei Deng ◽  
Shuai Shuai Li ◽  
Ke Yan Zhang
Keyword(s):  
Wind Turbine ◽  
Design Optimization ◽  
Multidisciplinary Design Optimization ◽  
Design Theory ◽  
Optimization Problems ◽  
Vertical Wind ◽  
Multidisciplinary Design ◽  
Existing Problems ◽  
Depth Study ◽  
Turbine Design

Multidisciplinary design optimization (MDO) represents the development direction of complex products design theory and method, it shows a huge advantage in solving complex optimization problems in engineering applications, for example product design. This paper briefly analyzes some existing problems of small vertical wind turbine, and puts forward using the theory of MDO in small vertical wind turbine structural optimization. Then,the paper analyzes and points out the key technology of using MDO theory to optimize small vertical wind turbine, and provides a new train of thought for further in-depth study of small vertical wind turbine to improve the overall performance of the small vertical wind turbine products.

Aeroelastic multidisciplinary design optimization of a swept wind turbine blade

Wind Energy ◽  
2017 ◽  
Vol 20 (12) ◽  
pp. 1941-1953 ◽  
Author(s):  
Christian Pavese ◽  
Carlo Tibaldi ◽  
Frederik Zahle ◽  
Taeseong Kim
Keyword(s):  
Wind Turbine ◽  
Design Optimization ◽  
Turbine Blade ◽  
Multidisciplinary Design Optimization ◽  
Wind Turbine Blade ◽  
Multidisciplinary Design

Multidisciplinary Design Optimization of a Hybrid Composite Wind Turbine Blade

2011 ◽  
Author(s):  
Jin Woo Lee ◽  
Sathya N. Gangadharan ◽  
Maj Mirmirani ◽  
Amanda Raffa
Keyword(s):  
Wind Turbine ◽  
Design Optimization ◽  
Turbine Blade ◽  
Hybrid Composite ◽  
Multidisciplinary Design Optimization ◽  
Excitation Frequency ◽  
Wind Turbine Blade ◽  
Multidisciplinary Design ◽  
Manufacturing Cost ◽  
Wind Condition

A multidisciplinary design optimization (MDO) process of a large scale hybrid composite wind turbine blade is developed. Multiple objectives are considered in this design optimization: maximize length of blade, minimize weight and manufacturing cost. A wind turbine blade is divided into regions and the layup sequences for each region are considered as design variables. Applied load due to extreme wind condition for rotor rotation and rotor stop condition are considered for finite element analysis (FEA) to evaluate the structural strength. The structural stiffness is designed and illustrated so that the natural frequency of the blade does not coincidence with the excitation frequency of the wind turbine. A process of obtaining an optimum hybrid composite laminate layup and an optimum length of wind turbine blade is developed in this research.

scholarly journals Multi-Objective Multidisciplinary Design Optimization of a Robotic Fish System

2021 ◽  
Vol 9 (5) ◽  
pp. 478
Author(s):  
Hao Chen ◽  
Weikun Li ◽  
Weicheng Cui ◽  
Ping Yang ◽  
Linke Chen
Keyword(s):  
Design Optimization ◽  
Optimization Algorithm ◽  
Multidisciplinary Design Optimization ◽  
Robotic Fish ◽  
Multidisciplinary Design ◽  
Optimization Approach ◽  
Multi Objective Optimization ◽  
Multi Objective ◽  
Cfd Method ◽  
The Individual

Biomimetic robotic fish systems have attracted huge attention due to the advantages of flexibility and adaptability. They are typically complex systems that involve many disciplines. The design of robotic fish is a multi-objective multidisciplinary design optimization problem. However, the research on the design optimization of robotic fish is rare. In this paper, by combining an efficient multidisciplinary design optimization approach and a novel multi-objective optimization algorithm, a multi-objective multidisciplinary design optimization (MMDO) strategy named IDF-DMOEOA is proposed for the conceptual design of a three-joint robotic fish system. In the proposed IDF-DMOEOA strategy, the individual discipline feasible (IDF) approach is adopted. A novel multi-objective optimization algorithm, disruption-based multi-objective equilibrium optimization algorithm (DMOEOA), is utilized as the optimizer. The proposed MMDO strategy is first applied to the design optimization of the robotic fish system, and the robotic fish system is decomposed into four disciplines: hydrodynamics, propulsion, weight and equilibrium, and energy. The computational fluid dynamics (CFD) method is employed to predict the robotic fish’s hydrodynamics characteristics, and the backpropagation neural network is adopted as the surrogate model to reduce the CFD method’s computational expense. The optimization results indicate that the optimized robotic fish shows better performance than the initial design, proving the proposed IDF-DMOEOA strategy’s effectiveness.

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