Ijraset Journal For Research in Applied Science and Engineering Technology
Authors: Arif Shaikh
DOI Link: https://doi.org/10.22214/ijraset.2023.52914
Certificate: View Certificate
The design and materials of wind turbine blades are crucial in terms of performance and durability. They are an essential part of the energy sector. In this article, we use the Multi-Criteria Decision Making (MCDM) method to suggest a material selection method for the face sheet for a sandwich shell/web for wind turbine blades. To determine the best material out of all the options, the MCDM method allows the evaluation of multiple criteria. The suggested method takes into account a number of things, including weight, price, mechanical qualities, and environmental impact. Aluminium, Carbon Fibre Reinforced Polymer, and Glass Fibre Reinforced Polymer were the materials assessed in this study. According to the MCDM results, CFRP is the best material for a wind turbine sandwich shell or web\'s face sheet when taking the chosen criteria into account. The suggested strategy offers a method for selecting materials that is systematic and all-inclusive and can be used in other fields and applications.
I. INTRODUCTION
Wind turbines are an essential part of wind energy conversion systems, and wind energy has been acknowledged as a significant alternative energy source. When it comes to harnessing wind energy and transforming it into mechanical energy, wind turbine blades are essential. Due to their excellent fatigue resistance and high stiffness-to-weight ratio, sandwich structures are frequently used in wind turbine blades. However, the performance and cost of sandwich structures are significantly influenced by the material selection.
A sandwich structure's face sheet, which carries the majority of the mechanical load, is a crucial component. The performance of the wind turbine blade as a whole depends on the choice of an appropriate face sheet material. However, because there are so many materials available and there are so many different criteria to consider, choosing the right material for the face sheet can be a difficult and complicated process.
The use of Multi-Criteria Decision Making (MCDM) techniques to choose the best material for a given application has grown in popularity in recent years. Multiple criteria are taken into account, and they are then prioritised based to their level of relative importance, offering a methodical and impartial approach to decision-making. To choose the best material for the face sheet in sandwich structures for wind turbine blades in this situation, MCDM methods can be used.
In order to demonstrate the use of MCDM methods for material selection, this paper aims to review the different kinds of materials employed in the face sheet of sandwich structures in wind turbine blades. The paper will give a thorough analysis of the MCDM techniques that are currently in use and how well suited they are for choosing materials for sandwich wind turbine blade structures. The study's findings will help designers and engineers choose the best material for wind turbine blade face sheets and offer useful insights into the material selection process.
II. LITERATURE REVIEW
The various research methods can be categorized into six main categories after reading papers on material used for wind turbine rotor blade mainly composite sandwich plate design, namely: 1) Paper on material selection 2) Experimental Paper 3) Design consideration 4) FEM modeling 5) Optimization Paper 6) weight and cost.
Babu [1] The main goal of this topic is to discuss the various materials that could be used to make turbine blades and to choose the best material by using a MADM (Multiple Attribute Decision Making) method with fuzzy linguistic variables.
Following the selection of the material, the turbine blades are built using modelling software (CATIA V5R9), and analysis can be carried out using FEM.
Maskepatil [3] In this paper, a straightforward analytical hierarchy process for choosing the material for a small wind turbine blade is presented. One of the most straightforward and economical methods for making decisions is AHP. AHP is successfully used in this work to choose the material for small wind turbine blades.
Theotokoglou[4], A methodology for selecting materials has first been suggested. In order to represent the load-carrying box girder of the blade with a given airfoil shape, size, and type of interior load-bearing longitudinal beams-shear webs, a very thorough computational analysis based on finite element modes is developed. Both plane and shell elements are used with linear and nonlinear analyses to produce results for displacements and stresses.
Ganesh [7], For better strength, low weight, and corrosion resistance, the nacelle and wind turbine blades are typically made of glass and carbon fibers, along with the hub, gear box, nacelle, and tower. The goal of the study is to replace these materials with natural fibers because the main drawbacks of these materials are limited availability, inability to degradation, health risks, and high cost of production. In this study, promising future directions for their development are discussed along with the application of natural fiber reinforced polymer composites in wind turbines, requirements for the composites, their properties, constituents, manufacturing processes, and defects.
Thomsen [8], The article provides a general overview of the design principles and material technology used today over wind turbine blades, as well as highlights the constraints and significant design issues that must be resolved for upscaling wind turbine blades from their current maximum length of over 61 m to blade lengths close to 90 m as stated for future very large wind turbines. The article specifically discusses the potential benefits and difficulties of using sandwich type construction more widely than it is currently used for the load-carrying components of wind turbine blades.
[9] Bassyouni, this study involved the selection of materials for the production of wind turbine blades. Following this procedure, picked composite materials (GFRP and CFRP) went through chemical surface treatment. Materials may be chosen incorrectly if the process is based on studying each individual property. The selection of high-performance materials is influenced by the conversion of goals and restrictions to material indices. Utilizing the Cambridge Engineering Selector (CES) programme, materials indices, rankings, and screening were conducted. For wind turbine blades, CFRP and GFRP were determined to be the top contenders. The final mechanical properties of polymer composites are significantly influenced by the loading of the fibers and the surface treatment. Silane A1100 surface chemical treatment of the fibers improved the GFRP's mechanical characteristics.
[10] Zangenberg, the task of designing a composite preform for a wind turbine rotor blade is complicated and difficult, as shown in the survey above. The design entails numerous iterative steps that are connected in an illogical way. Experience and knowledge, such as those related to failure modes, manufacturing technology, and processing, can be used to pre-design a fabric. However, a lot of different stakeholders must be involved in the manufacturing, testing, certification, and implementation of a new fabric. The final performance is a balance of many different factors, but the stakeholders all have different approaches and interests.
[11] The thermoset composite technologies currently used in the wind turbine industry are being replaced with new materials and materials systems. The selection of materials has become essential because turbine blades are the main component of wind turbines and the size of the blade is growing in today's wind design. Important considerations include less weight, less price, higher performance, longer life, ease of processing, and recycling ability. The current article offers a critical examination of potential material contenders for advancements in wind turbine blade technology. The materials taken into consideration in this study include a variety of fibre reinforcements, thermoset composites, thermoplastic composites, natural fibre composites, and hybrid composites. The benefits and drawbacks of various materials are discussed, along with their limitations, which can be useful information when choosing materials for both large and small turbine blades.
[16] Samir, Companies now concentrate on rotor blades with a length of up to 80 metres as our desire for renewable energy from wind turbines grows. The blade material is now being designed to withstand environmental effects like ultraviolet surface degradation, dust accumulation at sandy locations, ice accretion on blades in cold countries, insect collision on blades, and moisture ingress in addition to large aerodynamic, inertial, and fatigue loads. To ensure that the blades live up to their intended lifespan, all of this is taken into account. Additionally, the manufacturing of composite blades is growing exponentially, producing a sizable amount of waste materials. The use of wind blade materials, their ability to address the aforementioned issues, and their ability to maintain structural integrity are all put to the test by these issues. In order to meet this challenge, this paper optimises based on the characteristics, advantages, disadvantages, and price of various potential rival materials. The material is then simulated using finite element analysis in accordance with standards like IEC-61400-1 to determine its structural integrity.
This study elaborates on the potential impact of nanotechnology on the development of the wind blade, illuminating the direction in which research will go in the future.
[17] In this study, three different sandwich structures with various core materials—Balsa wood, Tycor, and Polyethylene Terephthalate (PET)—were produced. Using digital image correlation (DIC), glass-fiber reinforced polymer (GFRP) skins were employed to analyse the effects of various core materials on the flexural behaviour for sandwich composites for four-point bending (4PB) conditions. DIC is one of the best methods for determining any structurally problematic areas by analysing the mechanical behaviour of the structure during the test. Strain maps of the structures were used to observe the structures' failure mechanisms. According to the findings, the sandwich structure with Balsa wood as the core material has the highest stiffness; unfortunately, catastrophic failure first appeared during the test. Under load, the sandwich structure made of PET and Tycor behaved very similarly.
[18] Bortolotti, the development of an optimisation methodology for the the composite components used in wind turbine blades is the focus of this work. The approach aims to provide recommendations to composite manufacturers on the best choices among mechanical properties and material costs while assisting designers in choosing the various materials for the blade. A multidisciplinary wind turbine optimisation procedure is used to implement the method, which uses a parametric material model and its free parameters as design variables. The theoretical 10 MW wind turbine blade's spar caps and shell skin laminates are optimised as part of the proposed method's structural redesign test. The process identifies a blade that is most suitable for a new spar cap laminate that is more expensive and has a higher longitudinal Young's modulus than the original laminate, but which also results in mass and cost savings for the blade. Adoption of a laminate with properties halfway between a bi-axial and a tri-axial results in slight structural improvements for shell skin.
[20] A. Rashedia, On the basis of innate structural constraints and potential design goals, the study initially aims to establish blade and tower material selection indices. Next, it discusses the entire process of choosing the material for the blades and towers of both small and large horizontal axis wind turbines that can be installed on land as well as offshore. Finally, it distinguishes advanced blade and tower materials in accordance with a design optimisation process based on multiple constraints and compound objectives. The study's findings can be used to create turbines that are structurally more promising, economically more viable, and environmentally more sustainable.
[21] Sjølund, this study applies discrete material and thickness optimisation (DMTO) to sandwich composite structures that are subject to linear and displacement buckling constraints. It is possible to size both the core and face sheet plies at the same time using a new thickness formulation where density design variables scale ply thicknesses rather than constitutive properties. This enables the core and face sheet layers as well as the covering of ply-drops to have various ply thicknesses. Additionally, by separating the core and face sheets, a symmetric lay-up can be enforced, which is beneficial for preventing warping during the curing process. Three numerical examples, each getting more complex, are used to illustrate the method.
[34] Mengal, this paper reviews the potential use of basalt fiber as a cheaper and high-performance alternative to traditional materials for wind turbine blades. By combining it with carbon fiber, it has the potential to reduce the weight and cost of the blades while maintaining or improving their performance. The review highlights the superior mechanical properties of basalt fiber compared to other composites and suggests that it represents a promising area for future research and development in the wind energy industry.
[37] Okokpujie , this study used AHP and TOPSIS methods to select the best material for a horizontal wind turbine blade in Nigeria, considering low wind speed variations. Aluminum alloy was found to be the best material, followed by glass fiber. The AHP method provided a workable consistency index and ratio, while TOPSIS provided performance scores for the alternatives. The decision-makers recommend using aluminum alloy to develop the wind turbine blade for sustainable energy generation in Nigeria.
In order to determine the contributions that each paper made to the topic at hand, the authors of the document carefully analysed the contents of several papers. They categorised the papers based on the results of this analysis and listed their conclusions in Table 2.1. This made it possible to present each paper's various contributions in a clear and succinct manner, which made it simpler for readers to comprehend the overall state of the field's research.
III. TABLE 1 - LITERATURE REVIEW
Author and Paper no. |
Materials Selection |
Experimental Paper |
Design Consideration |
FEM Modelling |
Optimization Papers |
Weight And Cost |
[1] Babu, K |
√ |
|
|
|
|
√ |
[2] Berggreen |
|
|
|
√ |
|
√ |
[3] Maskepatil |
√ |
|
|
|
√ |
√ |
[4] Theotokoglou |
√ |
|
|
√ |
|
√ |
[5] Mishnaevsky |
√ |
√ |
|
|
|
√ |
[6] Brøndsted |
√ |
|
|
|
|
√ |
[7] Ganesh R Kalagi |
|
√ |
|
|
|
√ |
[8] Thomsen |
√ |
|
|
|
|
√ |
[9] Bassyouni |
√ |
√ |
√ |
|
|
|
[10] J. Zangenberg |
√ |
|
√ |
|
|
√ |
[11] Raghavalu |
√ |
|
|
|
|
√ |
[12] Mishnaevsky Jr |
√ |
|
|
|
|
√ |
[13] Schubel, Peter J. |
|
√ |
|
|
|
√ |
[14] Tarfaoui |
√ |
√ |
|
√ |
√ |
√ |
[15] Scherer Roger |
√ |
|
√ |
|
|
√ |
[16] Samir Ahmad |
√ |
|
|
√ |
√ |
|
[17] Kaboglu |
√ |
√ |
|
|
|
√ |
[18] P Bortolotti1 |
√ |
√ |
|
|
√ |
√ |
[19] Grujicic |
√ |
|
√ |
|
√ |
|
[20] A. Rashedia |
√ |
√ |
|
|
|
√ |
[37] Okokpujie |
√ |
|
|
|
|
|
IV. TABLE 2- NOTES AND REMARKS
Author Name |
Material Properties |
Methodology Used |
Material used |
O/P |
Remark |
[1] Babu, K |
High stiffness, Low density, long fatigue life |
TOPSIS method with fuzzy linguistic variables |
Composite using carbon fibers |
Best material |
TOPSIS with Fuzzy and simulations in Catia V5 and ANSYS revealed carbon fiber composite material as favorable. |
[2] Berggreen |
Low density (Weight reduction), High stiffness, Increased bucking capacity. |
FEA |
Sandwich composite- fiber reinforced plastic (FRP) structures |
Best structure for load carrying flange |
The introduction of a load-carrying flange sandwich structure clearly demonstrates substantial weight reduction and improved buckling capacity. |
Maskepatil [3] |
Strength, density, cost, Corrosion resistance (durability) and availability |
AHP |
Wood, Glass fiber, carbon fiber,Steel Aluminum |
Best Material |
Carbon fiber is given the highest priority value of 0.2507, indicating that it should be our top priority material. |
[4] Theotokoglou |
high material sti?ness, low density, long fatigue life |
FEA |
Sandwich composite- Face sheet-Tri-axial fiberglass composite laminate, core- balsa wood core, Adhesive-Epoxy based. |
Best structure |
This analysis is the initial step towards understanding the stress state in the box girder of the WTB made of monolithic and sandwich composites. |
[5] Mishnaevsky Jr |
Lightweight, highly durable, Fatigue resistant, Stiffness cost |
Review Paper |
Fiber reinforcement polymers, Carbon fiber, E-glass fiber, High strength glass- -basalt, -aramid and -natural fiber |
- |
In addition to the traditional composites (glass fibers/epoxy matrix composites) used for wind turbine blades, natural composites, hybrid composites, and nanoengineered composites are also covered. |
[6] Povl Brøndsted |
high material stiffness, low density, long-fatigue life. |
- |
Fibers, Matrix Materials, Composite Materials |
|
- |
[7] Kalagi |
Disposal (biodegradable) |
- |
Natural fibers reinforced polymers composite. |
Best material |
One class of materials that not only has superior mechanical properties but is also naturally biodegradable is natural fibre reinforced composites. |
[8] Thomsen |
high bending stiffness, high strength, and high buckling resistance. |
Review paper (journal) |
Sandwich composite material |
- |
Using sandwich composite laminates for the main spar flanges, particularly on the suction side of the aerofoil, is advantageous as it provides additional buckling capacity and/or a lighter design with similar buckling capacity compared to monolithic composite laminates. |
[9] Bassyouni |
- |
Wind turbine blade material selection was done with the CES program. |
CFRP and GFRP. |
Best material |
CFRP and GFRP are the top choices for wind turbine blades. The mechanical properties of polymer composites are greatly affected by fiber loading and surface treatment. Surface chemical treatment with Silane A1100 improved the mechanical properties of GFRP. |
[10] Zangenberg |
Density, Stiffness, Tensile strength, Compression strength, Fatigue resistance, Cost, Energy consumption, Renewability, Recyclability, Accessibility, Distribution, Disposal. |
- |
Natural fibres, Glass fibres, Carbon fibres |
Best material |
Prior knowledge on failure modes, manufacturing technology, and processing can aid in fabric pre-design. However, multiple stakeholders are required for fabric production, testing, certification, and implementation. |
[11] Raghavalu |
less weight, less price, higher performance, longer life, ease of processing, and capability of recycling |
- |
thermoplastics; thermosets; glass fibres; natural fibres; hybrid composites; |
- |
This article provides a critical review of potential materials for the development of future wind turbine blades. |
[13] Schubel, |
Blade design structure |
Review Paper |
- |
Best Design |
Thorough review of wind turbine blade design, covering factors such as theoretical maximum efficiency, propulsion, usable efficiency, HAWT blade design, and blade loads. |
[14] Tarfaoui |
Blade design |
FEM |
composite materials with glass fibre reinforcements using an epoxy resin |
Structural strength |
Wind turbine blade design review covering efficiency, propulsion, and loads. |
[15] Scherer |
Blade design Cost, lightweight, high lifecycle |
Design Aspects |
Epoxy resin/glass fibre, Polyester resin/glass fibre, Epoxy resin/wood, Epoxy resin/carbon-glass fibres |
Aerodynamic Structural and structural design |
Rotor blade design in wind turbine technology faces a challenging future to enable cost-effective, safe, lightweight, flexible structures with high lifecycle and resistance against static loads while maintaining maintenance-free production of wind energy. |
[16] Ahmad |
Fatigue resistance, Cost, weight. |
FEM |
Sandwich Composite- Face Sheet- Matrix – Polyester resin, vinyl ester resin, epoxies resin, thermoplastic resin. Fibres – E-glass, S-glass, Carbon and Aramid Core Material – PVC foam, Polystrene foam, Polyurethane foam |
Best Material |
After thorough examination of potential composite candidates for 30m wind blade manufacture, we conclude that carbon fiber with epoxy or thermoplastic resin is the best option considering its characteristics, benefits, drawbacks, and costs. |
[17] Kaboglu |
Stiffness |
four-point bending (4PB) condition, using digital image correlation (DIC) |
Composite sandwich structure- Face Sheet – Glass-Fibre Reinforced Polymer (GFRP) core materials: Balsa wood, Tycor and Polyethylene terephthalate |
Best Material for core material |
Balsa wood sandwich failed catastrophically, PET and Tycor behaved similarly under load. |
[18] Bortolotti |
Cost, Weight |
Cp-Max is the design tool used in this study |
(GFRP), (CFRP), epoxy resin, UD (E-GFRP), high modulus UD glass (H-GFRP), full carbon UD (F-CFRP), bi-axial GFRP(Bx-GFRP), tri-axial GFRP(Tx-GFRP) |
Material selection methodology |
Proposed method to optimize wind turbine blade design includes composite material selection as a factor. |
[19] Grujicic |
high material stiffness, low mass density, high-cycle fatigue strength, Durability |
Computer aided material-selection methodology, finite-element analysis |
Sandwich composite Face sheet – (450/00/450) tri-axial fiber-glass composite-laminate Core – Basala Adhesive– Epoxy based |
Best material, Structural response analysis, fatigue life prediction |
Carbon-fibre reinforced composites outperformed E-glass fibre reinforced composites in terms of performance, and epoxy may not be the best matrix material for composites, as predicted by the study's findings. |
[20] Rashedi |
- |
Ashby’s apporoach |
PEEK/IM carbon and epoxy/HS carbon fiber composite. |
Best Material |
The study found a compromise among candidate materials, each with advantages and disadvantages. To maintain competitiveness in all blade and tower categories, better synergy in composite material's properties and sequence is required. |
[21] Sjølund |
Mass |
Discrete Material and Thickness Optimization (DMTO) |
Sandwich Composite Face Sheet - –glass fiber reinforced plastic (GFRP) Core – Basla |
Structural optimization. |
Optimizing sandwich structures using DMTO involves choosing the best fibre angle and core thickness for each face sheet layer to minimize mass through gradient-based optimization. |
[22] Ancona |
Weight, Cost, life-cycle |
Review paper on Materials and Manufacturing Fact Sheet |
Materials used – Steel, Glass Reinforced Plastic, Wood Epoxy
|
-
|
Most rotor blades are made of glassfiber-reinforced plastic (GRP), but other materials such as steel, composites, and carbon-filament-reinforced plastic (CFRP) have been tested. |
[34] Mengal |
Weight, Cost. |
Basalt Carbon Hybrid composite material for rotor blade |
Material used- Basalt Carbon Hybrid. |
- |
This article discusses the use of basalt fiber in wind turbine blades, comparing it to glass and carbon fiber and emphasizing its exceptional mechanical properties and cost-effectiveness. |
[37] Okokpujie |
Price/cost, Lightweight, Corrosion resistance, Durability |
Material selection using - AHP, TOPSIS. |
aluminium alloy, stainless steel, glass fiber, and mild steel |
Material selection |
Aluminium alloy came out on top in the study's comparison of wind turbine blade materials using the AHP and TOPSIS methods, with glass fibre coming in second. It was advised to use aluminium alloy. |
V. METHOD
This section contains the procedures used to find a sandwich face sheet for a turbine blade made of a suitable material. The face sheet's material was chosen using a quantitative research methodology in this study. The research involves the numerical analysis of data obtained from questionnaires and written sources, which serves to justify the quantitative research approach. The study used the AHP and TOPSIS techniques to create the pair-wise matrix and rank the four (4) options. The authors transform the views of design for industry engineers who are professionals in design and academic design experts. An evaluated the four options and evaluated their performance using the AHP and TOPSIS methods. The criteria were analysed by the authors in light of the market price and price/cost per kg at the time of the research. Moreover, the degree of durability, weight, and corrosion resistance rate. Using a scale of 1 to 5, where 5 represents excellent, 4 very good, 3 good, 2 satisfactory, and 1 poor. The authors translate their opinions into numerical data after receiving input from academic design experts as well as industrial engineers with professional design experience. To determine the ratings and performance evaluation of the four alternatives, an applied the AHP and TOPSIS methods. This section includes explanations of the data collection procedure, the AHP, TOPSIS framework, the goal, the criteria, the sub-criteria, alternatives, as well as the consistency study. The formulas from the AHP as well as TOPSIS method were applied by the authors using the Excel 2016 programme.
A. Expert Interview
In this study, the best material for a wind turbine rotor blade was determined using a knowledge-based system called Expert Interview. To choose the best material, the system involved interviewing experts from various industries. For the study, five experts were chosen, and during the interviews, the evaluation criteria were directly weighted. The materials were then ranked using the Analytic Hierarchy Process (AHP), which was done in accordance with Yunus'[43] methodology and based on professional judgement. Using this strategy, the researchers were able to select materials intelligently by drawing on the knowledge of experts in the field.
B. The analytical hierarchy process (AHP)
The pair-wise matrix is the first step in the analytical hierarchy process (AHP), and building the model involves contrasting each of the six criteria with each other. When two criteria are equally important, they will each receive a score of one (1). Using the scoring scale, the decision-makers assigned a score to the criterion which is more important than one high. The TOPSIS techniques were used to make the decision at the conclusion of the process based on ratings.
It decomposes the smart match relationship at a dimension into various square frameworks B = [bij]nxn, starting at the top of the chain of command and working down. The study's four alternative criteria and six significant criteria led to the development of the matrix depicted in Eq. (1).
GFPR (Glass Fiber Reinforced Polymer), CFRP (Carbon Fiber Reinforced Polymer), mild steel, and aluminum alloy. Additionally, three materials will be discussed for the core: medium density balsa, PVC Foam [16], and Polyurethane Foam, based on literature sources.
maller turbines or in regions where cost considerations outweigh performance requirements. However, due to its heavier weight and lower durability compared to composite materials, its use may be limited in larger turbines or harsh environmental conditions.
4. Aluminum Alloy: Aluminum alloy is another commonly used material for wind turbine rotor blades due to its low density, good stiffness, and corrosion resistance. Its mechanical properties can vary depending on the specific alloy used, but overall, aluminum alloys offer a good strength-to-weight ratio and can be easily machined and welded, making them a preferred choice for manufacturing wind turbine blades. Compared to mild steel, aluminum alloys have a lower density and offer better corrosion resistance, which can improve their durability and lifespan in harsh environmental conditions. However, aluminum alloys can be more expensive than mild steel, with an average cost of around 100-200 rupees/kg. The manufacturing process for aluminum alloy wind turbine blades involves cutting and shaping the alloy sheets or extrusions to form the desired blade shape, followed by welding or bonding the sections together. This process can be more complex than mild steel blade manufacturing due to the need for precise welding or bonding techniques. The tensile strength of aluminum alloys typically ranges from 200-600 MPa [9], depending on the specific alloy used. While this is lower than some composite materials, it is still sufficient to withstand the mechanical stresses encountered during operation. The fatigue resistance of aluminum alloys is also relatively good, although it can be affected by factors such as surface treatments and operating conditions. In terms of availability, aluminum alloys are widely used in various industries, including aerospace and transportation, and are readily available in the market. Repairs to aluminum alloy wind turbine blades can be performed using welding or bonding techniques, but the repair process can be more challenging compared to composites [37]. Overall, aluminum alloys are a viable option for wind turbine rotor blades, particularly for larger turbines or in harsh environmental conditions where corrosion resistance is critical. However, their higher cost and more complex manufacturing process may limit their use in smaller turbines or regions where cost considerations outweigh performance requirements.
G. AHP-based consistency analysis
The C. R, C. I are calculated while using the R. I from Satty (1990) in the consistency study. The relative ranking scale and R. I. values used to create the pair-wise comparison matrix are displayed in Tables 3 and 4.
H. Conclusion and discussion
The author constructed a pair-wise comparison matrix and rated the criteria using a relative scale from extremely important to equally important in order to choose an appropriate material for the face sheet of the blade. As illustrated in Tables 6, 7, and 8, each interest is divided using the normalized pair-wise model, total pair-wise model, and the average weight of the pair-wise matrix is calculated using Eq. (4)
Using Eqs. (6), (7), and (8), identify the consistency analysis of the pair-wise comparison matrix. The six selection criteria's relative weights are shown in Table 9.
TABLE 6 Creating the Pair-Wise Comparison Matrix for The Six (6) Criteria Using the AHP Approach
Criteria |
Price/Cost |
Light-Weight |
Corrosion Resistance |
Stiffness |
Shape |
Environmental Factor |
Price/Cost |
1 |
0.25 |
1.35 |
0.28 |
0.74 |
0.49 |
Light-Weight |
3.97 |
1 |
2.59 |
1.11 |
1.24 |
1.03 |
Corrosion Resistance |
0.74 |
0.39 |
1 |
0.48 |
0.76 |
0.51 |
Stiffness |
3.53 |
0.9 |
2.08 |
1 |
1.24 |
0.96 |
Shape |
1.36 |
0.81 |
1.32 |
0.81 |
1 |
0.78 |
Environmental Factor |
2.05 |
0.97 |
1.95 |
1.05 |
1.28 |
1 |
TABEL 7 Pair-Wise Comparison Matrix Total in Column.
Criteria |
Price/Cost |
Light-Weight |
Corrosion Resistance |
Stiffness |
Shape |
Environmental Factor |
Price/Cost |
1 |
0.25 |
1.35 |
0.28 |
0.74 |
0.49 |
Light-Weight |
3.97 |
1 |
2.59 |
1.11 |
1.24 |
1.03 |
Corrosion Resistance |
0.74 |
0.39 |
1 |
0.48 |
0.76 |
0.51 |
Stiffness |
3.53 |
0.9 |
2.08 |
1 |
1.24 |
0.96 |
Shape |
1.36 |
0.81 |
1.32 |
0.81 |
1 |
0.78 |
Environmental Factor |
2.05 |
0.97 |
1.95 |
1.05 |
1.28 |
1 |
Total |
12.65 |
4.32 |
10.29 |
4.73 |
6.26 |
4.77 |
TABLE 8 Normalization of The Pair-Wise Comparison Matrix
Criteria |
Price/Cost |
Light-Weight |
Corrosion Resistance |
Stiffness |
Shape |
Environmental Factor |
Price/Cost |
0.08 |
0.06 |
0.13 |
0.06 |
0.12 |
0.1 |
Light-Weight |
0.31 |
0.23 |
0.25 |
0.24 |
0.2 |
0.22 |
Corrosion Resistance |
0.06 |
0.09 |
0.1 |
0.1 |
0.12 |
0.11 |
Stiffness |
0.28 |
0.21 |
0.2 |
0.21 |
0.2 |
0.2 |
Shape |
0.11 |
0.19 |
0.13 |
0.17 |
0.16 |
0.16 |
Environmental Factor |
0.16 |
0.22 |
0.19 |
0.22 |
0.2 |
0.21 |
Total |
12.65 |
4.32 |
10.29 |
4.73 |
6.26 |
4.77 |
TABLE 9 The Pair Comparison Matrix's Comprehensive Consistency Analysis Result
Criteria |
Price/Cost |
Light-Weight |
Corrosion Resistance |
Stiffness |
Shape |
Environmental Factor |
Criteria Weight (%) |
Price/Cost |
0.08 |
0.06 |
0.13 |
0.06 |
0.12 |
0.1 |
9.166667 |
Light-Weight |
0.31 |
0.23 |
0.25 |
0.24 |
0.2 |
0.22 |
24.16667 |
Corrosion Resistance |
0.06 |
0.09 |
0.1 |
0.1 |
0.12 |
0.11 |
9.666667 |
Stiffness |
0.28 |
0.21 |
0.2 |
0.21 |
0.2 |
0.2 |
21.66667 |
Shape |
0.11 |
0.19 |
0.13 |
0.17 |
0.16 |
0.16 |
15.33333 |
Environmental Factor |
0.16 |
0.22 |
0.19 |
0.22 |
0.2 |
0.21 |
20 |
Total |
1 |
1 |
1 |
1 |
1 |
1 |
100% |
|
|
|
|
|
|
Eigen Value(λmax) |
6.136983333 |
|
|
|
|
|
|
C.I. |
0.027396667 |
|
|
|
|
|
|
C.R.= C.I/R.I. |
2.209408602 % |
Since the consistency ratio's proportion of inconsistency is less than 0.1, the resulting pair-wise comparison matrix is therefore consistent for the four alternatives. The decision-maker used weight criteria in this study when making decisions. Figure 2 displays the weighted criteria value for the six criteria that were chosen for the decision-making process of the material for the sandwich structure's face sheet used in wind turbine blades.
VI. USING TOPSIS METHODOLOGIES, RANK THE OPTIONS
The study used the TOPSIS technique to rank the chosen alternatives after calculating the criteria weight with the AHP. As a result, the normalized vector matrix is displayed in Table 10 below.
Figures 3 display the performance evaluation of the four options based on the chosen parameters, such as cost, weight, corrosion resistance, stiffness, shape and environmental factor. The examples show the professional's ideals as they related to the alternative's functional capabilities in those areas.
Using the pair-wise matrix C. I and C. R developed using the AHP approach and the data gathered from the questionnaire, Eq. (8) converts the normalized decision matrix. The ideal best & the ideal worst from the four choices can also be found using Eq. (9). In order to analyses the performance score for the final ranking of the alternatives, Eq’s. (12), (13), and (14) are used to calculate the Euclidean distance between the ideal best (Ed+) and ideal worst (Ed-). The results are presented in Tables 10, 11, 12, and 13, correspondingly.
Determine the effectiveness of the four alternative criteria by using the normalized decision matrix, CR, CI, RI, Euclidean distance, and ideal best analysis. Figure 9 displays the outcome of the MCDM in choosing a suitable material for the creation of the sandwich plate face sheet utilized in turbine blades. The best performance value is 0.52 for CFRP, followed by 0.50 for mild aluminum alloy and steel alloy and 0.29 for GFRP. Because of its high stiffness and low weight, CFRP is the ideal material for creating the face sheet of sandwich structures used in wind turbine blades, according to the results of the investigation. Although GFRP, Aluminum alloy, and mild steel are other viable options, CFRP material is the greatest suit for this study because of its low density and high stiffness value. Additionally, it is lighter than any of them, giving it an advantage over other options when it comes to the creation of sandwich plate faces for use in wind turbine blades. This outcome also goes against the findings of Babu et al. (2006) [1], who looked at pure aluminum, steel, carbon fibers, aramid fibers, and electrical glass in their study. The outcome of the analysis and the decision-makers' approval of carbon fiber as the best substitutes. The authors failed to take into account the fact that carbon fiber, when utilized for the production of wind turbine blades, is stiff and can fail with little to no warming during operation. The use of carbon fiber in the manufacture of wind turbine blades, according to the author [37], may result in rigidity and the possibility for failure during operation without warning. However, this issue was not taken into account by the study's authors. Author [37] advises using an alternative material, specifically the aluminum 6061-T9 alloy, to address this issue.
VII. ACKNOWLEDGMENT
We would like to express our deepest appreciation to everyone who has contributed to the completion of this research paper on material selection for wind turbine blade sandwich structures using the MCDM method. We extend our heartfelt thanks to our supervisor, whose guidance and expertise have been invaluable in shaping this study. We also acknowledge the researchers and scientists whose work provided the foundation for our research, the anonymous reviewers and editors for their valuable feedback, and our institutions for their support and resources. Lastly, we express our gratitude to our families, friends, and colleagues for their unwavering support and inspiration. We recognize that many individuals have contributed to this research, and although we cannot name everyone, we are sincerely grateful for your contributions.
The study in question used the AHP and TOPSIS in MCDM to carry out a material selection procedure for the face sheet of sandwich structure used in the development of wind turbine blades. The Multi-Criteria Decision Making (MCDM) approaches AHP and TOPSIS are both frequently used for assessing alternatives based on several criteria. The study took into account four options for the material selection process: mild steel, aluminum alloy, carbon fibre reinforced polymer (CFRP), and glass fibre reinforced polymer (GFRP). Following the evaluation, the study discovered that mild steel and aluminum alloy both received scores of 50%, while CFRP received the maximum performance rating of 52%. GFRP, on the other hand, had the lowest rating of 0.29%. These findings imply that CFRP is the best material for the sandwich face sheet utilized in the manufacturing of wind turbine blades because it outperformed all other materials according to the study\'s criteria. This might be a result of CFRP\'s special qualities, namely its high strength-to-weight ratio, which makes it a good material for use in wind turbines where little weight and great strength are essential. In order to make the best choice for a given application, it is crucial to evaluate materials using a variety of factors, according to the study\'s conclusion. Due to its poor performance in the study, it also implies that GFRP could not be a suitable material for the construction of wind turbine blades.
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Copyright © 2023 Arif Shaikh. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Paper Id : IJRASET52914
Publish Date : 2023-05-24
ISSN : 2321-9653
Publisher Name : IJRASET
DOI Link : Click Here