Material Selection for Vertical Axis Tidal Current Turbine using Multiple Attribute Decision Making (MADM)

In recent years, tidal current energy has gained wide attention for its abundant resource and environmentally friendly production. This study focuses on analyzing dynamic behavior of a three-bladed vertical axis tidal current turbine. The multibody dynamics code MBDyn is used in the numerical simulation. It performs the integrated simulation and analysis of nonlinear mechanical, aeroelastic, hydraulic and control problems by numerical integration. In this study, tidal current turbine is idealized as an assembly of flexible beams including axis of rotation, arms and blades. We firstly conduct a modal analysis on the tidal current turbine and validate the model with the results obtained by ANSYS. The natural frequencies of blades with different size parameters are compared and the corresponding mode shapes are presented. Next, a parametric study was performed to investigate the effect of internal force on the dynamic response. It is concluded that the proposed method is accurate and efficient for structural analysis of tidal current turbine and this flexible multibody model can be used in the fluid-structure-interaction analysis in the future.

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Material Selection Using a Novel Multiple Attribute Decision Making Method

Dynamic Methods and Process Advancements in Mechanical, Manufacturing, and Materials Engineering ◽

10.4018/978-1-4666-1867-1.ch015 ◽

2012 ◽

pp. 252-266

Author(s):

R. V. Rao ◽

B. K. Patel

Keyword(s):

Decision Making ◽

Fuzzy Logic ◽

Decision Maker ◽

Design Process ◽

Material Selection ◽

Multiple Attribute Decision Making ◽

Decision Makers ◽

Selection Problem ◽

Multiple Attribute ◽

Selection Of

Selection of a most appropriate material is a very important task in design process of every product. There is a need for simple, systematic, and logical methods or mathematical tools to guide decision makers in considering a number of selection attributes and their interrelations and in making right decisions. This paper proposes a novel multiple attribute decision making (MADM) method for solving the material selection problem. The method considers the objective weights of importance of the attributes as well as the subjective preferences of the decision maker to decide the integrated weights of importance of the attributes. Furthermore, the method uses fuzzy logic to convert the qualitative attributes into the quantitative attributes. Two examples are presented to illustrate the potential of the proposed method.

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Numerical study on energy-converging efficiency of the ducts of vertical axis tidal current turbine in restricted water

Ocean Engineering ◽

10.1016/j.oceaneng.2020.107320 ◽

2020 ◽

Vol 210 ◽

pp. 107320 ◽

Cited By ~ 1

Author(s):

Wang Hua-Ming ◽

Qu Xiao-Kun ◽

Chen Lin ◽

Tu Lu-Qiong ◽

Wu Qiao-Rui

Keyword(s):

Tidal Current ◽

Numerical Study ◽

Vertical Axis ◽

Tidal Current Turbine ◽

Current Turbine

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Analysis of Decision Support System Based on 2-Tuple Spherical Fuzzy Linguistic Aggregation Information

Applied Sciences ◽

10.3390/app10010276 ◽

2019 ◽

Vol 10 (1) ◽

pp. 276

Author(s):

Saleem Abdullah ◽

Omar Barukab ◽

Muhammad Qiyas ◽

Muhammad Arif ◽

Sher Afzal Khan

Keyword(s):

Decision Making ◽

Weighted Average ◽

Multiple Attribute Decision Making ◽

Aggregation Operators ◽

Comparison Analysis ◽

Practical Application ◽

Multiple Attribute ◽

Ordered Weighted Average ◽

Selection For ◽

Fuzzy Linguistic

The aim of this paper is to propose the 2-tuple spherical fuzzy linguistic aggregation operators and a decision-making approach to deal with uncertainties in the form of 2-tuple spherical fuzzy linguistic sets. 2-tuple spherical fuzzy linguistic operators have more flexibility than general fuzzy set. We proposed a numbers of aggregation operators, namely 2-tuple spherical fuzzy linguistic weighted average, 2-tuple spherical fuzzy linguistic ordered weighted average, 2-tuple spherical fuzzy linguistic hybrid average, 2-tuple spherical fuzzy linguistic weighted geometric, 2-tuple spherical fuzzy linguistic ordered geometric, and 2-tuple spherical fuzzy linguistic hybrid geometric operators. The distinguishing feature of these proposed operators is studied. At that point, we have used these operators to design a model to deal with multiple attribute decision-making issues under the 2-tuple spherical fuzzy linguistic information. Then, a practical application for best company selection for feeds is given to prove the introduced technique and to show its practicability and effectiveness. Besides this, a systematic comparison analysis with other existent methods is conducted to reveal the advantage of our method. Results indicate that the proposed method is suitable and effective for decision making problems.

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Selection of Microstrip Patch Antenna Substrate for WLAN Application Using Multiple Attribute Decision Making Approach

International Journal of Microwave Science and Technology ◽

10.1155/2014/703181 ◽

2014 ◽

Vol 2014 ◽

pp. 1-5

Author(s):

Navneet Gupta ◽

Rituraj Raman

Keyword(s):

Decision Making ◽

Patch Antenna ◽

Material Selection ◽

Dielectric Materials ◽

Multiple Attribute Decision Making ◽

Microstrip Patch Antenna ◽

Microstrip Patch ◽

Microwave Dielectric ◽

Multiple Attribute ◽

Selection Of

This paper presents a material selection approach for selecting microstrip patch antenna substrate for WLAN applications using multiple attribute decision making (MADM) approach. In this paper, different microwave dielectric materials for substrate and their properties like relative permittivity, quality factor, and temperature coefficient of the resonant frequency are taken into consideration and MADM approach is applied to select the best material for microstrip patch antenna. It is observed that Pb0.6Ca0.4ZrO3 is the best material for the antenna substrate in MPA for WLAN applications. It was observed that the proposed result is in accordance with the experimental finding thus justifying the validity of the proposed study.

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