Numerical and Experimental Analysis of HorizontalAxis Wind Turbine Blade Fatigue Life
Abstract
:1. Introduction
2. Design of a Turbine Blade
3. Numerical Simulation Models
 U_{rel} = release energy
 P = power,
 c = speed,
 ρ = density
 $\Phi =$ angle of attack during wind interaction
 B = Blade Number
 C_{L} = Coefficient of Lift
 C_{D} = Coefficient of Drag
4. Results and Discussion
SN Curve
5. Experimental Setup and Specimen Fabrication
6. Experimental Investigation
Uncertainty Calculation
7. Conclusions
 In this research study, the operating system (VDAS) of the SM1090 (Figure 13) is calibrated with ANSYS, and the fatigue life is examined numerically and experimentally while the structure is being built;
 Fatigue failure only happens when the cyclic stresses are greater than the blade material’s yield strength;
 By slowing down the start of cyclic repeated stress, lengthening a blade’s chord immediately extends fatigue life;
 Increasing the leadingedge thickness reduces cyclic stress since it represents the immediate area and lengthens the blade’s fatigue life;
 Because the blade impacts the fraction of deformation, fatigue life relates inversely to blade length; therefore, blade length needs to be less to increase fatigue life;
 The substantial hub stress causes the minimum fatigue life to occur in both blade geometries at the blade root. By extending an airfoil chamber, you can reduce the hub stress propagation and prolong the blade root life fatigue life;
 The failure occurs at a low number of cycles governed by plastic deformation and related to cyclic loads, which is true for both turbine blade designs that experience fatigue.
8. Future Work
 I.
 In the future, a turbine blade’s fatigue behavior will be examined numerically and experimentally, allowing for various points during the blade’s revolution to be analyzed and interpreted.
 II.
 Within a predetermined framework, both the wind and the turbine blades are moving. Further tests may be carried out by using multiple direction loads to verify this numerically and empirically.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
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S.NO  Mechanical Properties  Value 

01  Density  2.7 g/cm^{3} 
02  Ultimate Strength  990 Mpa 
03  Yield Strength  240 Mpa 
04  Modulus of elasticity  70 Gpa 
05  Fatigue Strength  510 Mpa 
06  Poisson Ratio  0.33 
07  Melting Point  660 °C 
08  Fatigue Limit range  0.06–0.1 
09  Fatigue strength factor  01 
Original Design  Proposed Design 

Numerical Consideration  Numerical Consideration 
Minimum Fatigue life = F_{L} = 12,168  Minimum Fatigue life = F_{L} = 18,126 
Experimental Consideration  Experimental Consideration 
Minimum Fatigue life = F_{L} = 12,182  Minimum Fatigue life = F_{L} = 18,183 
Percentage Uncertainty  Percentage Uncertainty 


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Shah, I.; Khan, A.; Ali, M.; Shahab, S.; Aziz, S.; Noon, M.A.A.; Tipu, J.A.K. Numerical and Experimental Analysis of HorizontalAxis Wind Turbine Blade Fatigue Life. Materials 2023, 16, 4804. https://doi.org/10.3390/ma16134804
Shah I, Khan A, Ali M, Shahab S, Aziz S, Noon MAA, Tipu JAK. Numerical and Experimental Analysis of HorizontalAxis Wind Turbine Blade Fatigue Life. Materials. 2023; 16(13):4804. https://doi.org/10.3390/ma16134804
Chicago/Turabian StyleShah, Imran, Abdullah Khan, Muhsin Ali, Sana Shahab, Shahid Aziz, Muhammad Adnan Aslam Noon, and Javed Ahmad Khan Tipu. 2023. "Numerical and Experimental Analysis of HorizontalAxis Wind Turbine Blade Fatigue Life" Materials 16, no. 13: 4804. https://doi.org/10.3390/ma16134804