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Copyright of Journal of Harbin Institute of Technology. Social Sciences Edition / Haerbin Gongye Daxue Xuebao. Shehui Kexue Ban is the property of Harbin Institute of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Donghua University (Natural Science Edition) is the property of Journal of Donghua University (Natural Science) Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Machine Tool & Hydraulics is the property of Guangzhou Mechanical Engineering Research Institute (GMERI) and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Guangdong University of Technology is the property of Journal of Guangdong University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to study the structural performance of the new bend-twist coupling blade, NREL 5 MW blade was taken as the prototype, and the geometric model of the blade was established by using NX Open Grip parameterization language. The composite lamination design was carried out in accordance with the real processing technology, and the aerodynamic force of the blade was obtained by the computational fluid dynamics (CFD) method. The bend-twist coupling characteristics, harmonic response and strength of conventional and bending-torsional coupling blades were analyzed respectively. The results show that the blade tip displacement increases with the increase of the web deflection. For the same angle, the blade tip displacement of γ > 0 blades was smaller than that γ < 0 blades. The bend-twist coupling effect is the most obvious when γ = 10° and 15°. Compared with the conventional blade, the second-order displacement responses of bend-twist coupling blades are significantly reduced. The γ = 15° blade can reduce the stress on the surface and has a good load reduction performance.

Copyright of Journal of Chongqing University of Technology (Natural Science) is the property of Chongqing University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Mechanical Strength / Jixie Qiangdu is the property of Zhengzhou Research Institute of Mechanical Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Drainage & Irrigation Machinery Engineering / Paiguan Jixie Gongcheng Xuebao is the property of Editorial Department of Drainage & Irrigation Machinery Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Synthetic Fiber Industry is the property of Sinopec Baling Petrochemical Company and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Drainage & Irrigation Machinery Engineering / Paiguan Jixie Gongcheng Xuebao is the property of Editorial Department of Drainage & Irrigation Machinery Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Wind energy is an important clean energy, according to China's carbon peak and carbon neutral strategy, the policy of replacing small with large wind turbine blades and replacing old with new is imperative. The main material of wind turbine blades is glass fiber reinforced polymer, which has problems of difficult recycling technology and high recycling cost. Nowadays, there is no ideal large-scale recycling method. Therefore, the systematic and high-value utilization of waste wind turbine blades is imminent. In this paper, the material type, recycling methods and their respective characteristics of wind turbine blades are summarized. The recent developments of waste wind turbine blades in cement-based materials and thermoplastic polymer materials are thoroughly discussed. Overall, this paper can provide reference for the subsequent development and research on the recycling waste wind turbine blades. [ABSTRACT FROM AUTHOR]

To meet the monitoring requirements for a certain type of tower-mounted wind turbine blade， a structural monitoring method based on a fiber Bragg grating （FBG） sensing network is proposed. A threedimensional model of the blade is established and finite element simulation is conducted to obtain the strain distribution under operational conditions. The design of FBG packaging and layout scheme enables real-time monitoring of strain values and their variations at each sensing point. Through fast Fourier transform analysis of the vibration characteristics， the influence of environmental factors such as temperature and wind speed on the reliability of the monitoring system is investigated. The results indicate that the strain-vibration testing method based on FBG can effectively monitor the blade’s response to wind pressure and vibration frequency， with an error range within 0.04 Hz， thus meeting the requirements for practical engineering applications. [ABSTRACT FROM AUTHOR]

Copyright of Electric Power is the property of Electric Power Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to research the influence of the web deflection on the bend-twist coupling characteristics of large wind turbine blades, the CAD model of NREL 5 MW blade is established based on NX secondary development, the aerodynamic loads of the blade are obtained by CFD method, the blade bendind angle and twisting angle are solved by the node displacement method to analyze the influence of web deflection for bend-twist coupling blade. The results show that the offset web helps to achieve the bend-twist coupling of blades. Under the action of aerodynamic load, the bending and twisting angle both increase along spanwise direction of blade gradually, and reach the magnitude at the tip of the blade; in forward bias, negative correlation between twist angle and offset, reverse bias is the opposite; positive bias blades bend-twist coupling coefficient is decreasing trend with the increase of deflection angle, reverse bias blade are greater than the conventional blade.

Copyright of Advances in New & Renewable Energy is the property of Editorial Office of Advances in New & Renewable Energy and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Mechanical Strength / Jixie Qiangdu is the property of Zhengzhou Research Institute of Mechanical Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Advances in New & Renewable Energy is the property of Editorial Office of Advances in New & Renewable Energy and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Acta Materiae Compositae Sinica is the property of Acta Materiea Compositae Sinica Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Engineering for Thermal Energy & Power / Reneng Dongli Gongcheng is the property of Journal of Engineering for Thermal Energy & Power and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Wind energy is an important renewable energy source with natural 'green' properties. However there may be certain ecological and environmental impacts during the production, manufacturing and installation of wind turbine components. The existing studies mainly focus on the ecological and climatic impacts of wind farms, and lack the environmental impact analysis on production and manufacturing process of wind turbine components, such as blades. Based on the life cycle assessment method, this study examines the environmental impact of 9 different types of major specifications of wind turbine blades, with consideration of acidification potential (AP), eutrophication potential (EP), global warming potential (GWP) and photochemical ozone creation potential (POCP). The results show that the impacts of AP, EP, GWP and POCP per unit length blade are approximately 7.5 kgSO2 eq/m, 0.7 kgPO43- eq/m, 2.6 tCO2 eq/m and 0.9 kgC2H4 eq/m, respectively. Taking GWP impact as an example, it is predicted that the cumulative carbon emissions from wind turbine blades during the whole life cycles will reach 2.3 x 107 t and 2.0 x 108 t of CO2 eq in 2030 and 2060 at national level, respectively. The combined use of carbon fiber and glass fiber composites and the recycling of decommissioned wind turbine blades can significantly reduce the environmental impact. This study can promote the low-carbon and green development of wind turbine blade industry, and provide reference for measuring the environmental impact of wind turbines and wind farms. [ABSTRACT FROM AUTHOR]

Acoustic emission technique can monitor the fatigue damage state of composite materials in real time. The identification accuracy of damage state depends on the processing and extraction of acoustic emission signals. A method of the acoustic emission signal processing based on harmonic wavelet power spectrum and energy spectrum is proposed. The damage state of composite materials with delamination defects can be identified. First, the uniaxial tensile experiment was carried out on the composite laminates with or without delamination defects. The acoustic emission signals during the process of damage evolution were recorded. Then, the frequency distribution range of different damage modes based on the harmonic wavelet packet decomposition was obtained according to the damage characteristics analyzed by frequency spectrum and energy spectrum. Compared with the traditional wavelet analysis, the harmonic wavelet analysis can detect the different damage characteristics and damage modes of composite blade with delamination defects accurately. It can be used to detect the operated state for in-service blades in practical engineering.

Copyright of Acta Materiae Compositae Sinica is the property of Acta Materiea Compositae Sinica Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Computer Measurement & Control is the property of Magazine Agency of Computer Measurement & Control and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Advances in New & Renewable Energy is the property of Editorial Office of Advances in New & Renewable Energy and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Synthetic Fiber Industry is the property of Sinopec Baling Petrochemical Company and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to study the structural characteristics of different types of bend-twist coupling blades, the NREL 5 MW wind turbine blade was used as the research object, combined with composite material laying design to establish finite element models of different BTC blades, the aerodynamic load of the blades were solved by CFD method. The modal, strength and buckling of the blades were calculated and the effects of different coupling regions and coupling angles on the structural characteristics of the blades were analyzed. The results show that the natural frequencies of BTC blades are mostly lower than that of the traditional blades. The skin-coupled blades have the smallest change and the fully coupled blades have the greatest influence; the BTC blades can reduce the internal von Mises stress and strain peak value and improve the fatigue life of the blade. The skin-coupled blades have the largest reduction and the spar cap-coupled blades have the smallest reduction. The skin-coupled blades have the best load reduction effect when θ=20°; the shear stress of the BTC blades are mostly higher than that of the traditional blades, only the maximum shear stress of the skin-coupled blades θ=20° is lower than that of traditional blades; the bend-twist coupling characteristics of the blades have a certain impact on its stability. The critical buckling load of spar cap-coupled blades have a large decrease, while other BTC blades have a slight increase, and the amount of the first-order buckling deformation is lower than traditional blades.

As an important connecting and fastening part of wind turbine blade,blade root bolt plays an important role in the operation of wind turbine. In this paper,the connecting bolt between blade and pitch bearing of 2 MW wind turbine is taken as the research object,and a dynamic strength analysis model of blade root bolt of wind turbine is established under the conditions of three-dimensional turbulent aerodynamic load,gravity load and centrifugal force load. Under the condition of normal operation and partial bolt fracture failure,the stress distribution of blade root connecting bolt is obtained by finite element analysis.Compared with the traditional bolt strength analysis,this paper can get a more real trend of bolt stress change,the maximum stress value and its location. In order to provide theoretical basis for more accurate monitoring of some key points of blade root,it is of great significance to ensure the normal operation of wind turbine.

Aiming at the early damage characteristics such as wear on the surface of wind turbine blades and the problems of high cost and low efficiency in traditional damage detection methods, a wind turbine blade damage detection system based on the combination of machine vision and image processing was designed. The machine vision experimental platform was built to complete the image acquisition and processing of the damaged blade of the wind turbine. The HSV was used for color plane extraction, convolution operation, highlight operation and filtering. The minimum uniformity measurement method in the automatic threshold segmentation method was selected for threshold segmentation. Finally, the mathematical morphology denoising was used to eliminate corrosion, expansion open operation and other operations to complete feature extraction. An intelligent image recognition system of wind turbine blade based on LabVIEW was designed. Through the debugging of damage feature recognition effect after image processing, the performance test was completed. The experimental results show that the image processed based on the algorithm has an accurate recognition rate of 92. 3% in the designed recognition system, and the actual length of crack damage is measured, and the maximum absolute error is 3 mm. The system meets the requirements of blade damage detection, realizes the image processing and identification of wind turbine blade surface cracks, contour wear and other damage, marks, counts and measures the damage, and realizes non-destructive flaw detection, which provides method reference and technical support for image processing and system design for megawatt wind turbine blade damage detection. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Harbin Institute of Technology. Social Sciences Edition / Haerbin Gongye Daxue Xuebao. Shehui Kexue Ban is the property of Harbin Institute of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The methods of damage state detection and fault diagnosis of wind turbine blades were reviewed, and the research status and problems worthy of study were pointed out. The fault types and corresponding fault mechanism of wind turbine blades, several commonly used methods of state detection and fault diagnosis of wind turbine blades were summarized. The advantages and disadvantages of various detection techniques were analyzed. It is found that all kinds of damage detection technology can effectively detect defects in wind turbine blades, but single detection technology has been unable to meet the requirements of blade damage fault detection. Therefore, a variety of detection techniques can be used to conduct comprehensive detection of the blade.

binocular photogrammetry vibration measurement method for considering the radial and tangential distortion parameters calibration by using the Levenberg-Marquardt algorithm based nonlinear optimization was proposed. As an example,the modal frequency identified of a wind turbine blade. The vibration images sequence of the blade was acquired synchronously by two cameras and the target was segmented by adaptive binary dynamic threshold method,the direction with fastest grayscale gradient of the coding point as the edge,the circle curve was fitted by the least squares and iterative method,and the precise suppixel central coordinates of the coding point in the dynamic consecutive images were obtained by the gray square centroid method.Each coding point is similar to a small "displacement transducer"that reflects the blade’s time domain vibration response.Finally,the blade’s natural modal frequency was obtained from the time domains response,and compared with the results of the finite element and Laser Doppler Vibrometry,the relative error of vibration frequencies less than 5%,which verified the reliability and effectiveness of binocular photogrammetry method.

Copyright of Journal of Engineering for Thermal Energy & Power / Reneng Dongli Gongcheng is the property of Journal of Engineering for Thermal Energy & Power and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Mechanical Engineering is the property of Editorial Board of China Mechanical Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In view of the problem of crack location in wind turbine blade, based on the relation between the difference ratio parameter of natural frequency of cracked blade and damage location, the crack location parameter of natural frequency difference ratio was put forward.The database of crack location parameters was established by numerical simulation calculation, the crack location parameters and crack location criteria were put forward to realize the crack location in the blade. Meanwhile, the variation law of crack location parameters in the crack zone was studied. The mapping relationship between the crack location parameters and the relative position of the crack region was established, and the accurate location of the blade crack interval was realized. The effectiveness of the method is verified by numerical simulation, and the positioning accuracy is high, which provides a powerful basis for practical application.

Copyright of Chinese Journal of Computational Mechanics / Jisuan Lixue Xuebao is the property of Chinese Journal of Computational Mechanics Editorial Office, Dalian University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The maximum stress of the blade occurs in the 1/3 region of the blade, which may cause the fatigue failure of the blade. The particle swarm optimization (PSO) algorithm combined with the finite element method was used to optimize the layer thickness of a 1.5 MW wind turbine blade root dangerous area. The maximum stress mathematical model was established and the layer thickness was used as variable. The optimal solution was obtained through iterative search. The results showed that the maximum stress in the dangerous area of the blade was reduced by 5.25 MPa, the maximum deformation of the blade was decreased by 78 mm, the optimized first-order natural frequency of the blade was 0.73 Hz and the first-order buckling factor was 2.79, which satisfied the requirements of vibration and stability and improved the blades fatigue life. [ABSTRACT FROM AUTHOR]

Copyright of Chinese Journal of Computational Mechanics / Jisuan Lixue Xuebao is the property of Chinese Journal of Computational Mechanics Editorial Office, Dalian University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Engineering for Thermal Energy & Power / Reneng Dongli Gongcheng is the property of Journal of Engineering for Thermal Energy & Power and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Engineering for Thermal Energy & Power / Reneng Dongli Gongcheng is the property of Journal of Engineering for Thermal Energy & Power and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Engineering for Thermal Energy & Power / Reneng Dongli Gongcheng is the property of Journal of Engineering for Thermal Energy & Power and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Acta Materiae Compositae Sinica is the property of Acta Materiea Compositae Sinica Editorial Department and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

With the problems like complicated relationship between various influencing factors (such as temperature, humidity, wind speed and diameter of water droplets) on wind turbine blade icing and the morphology of ice coating and the overlap between the ice coating and the cause of its formation, a model to predict the wind turbine blade icing was proposed based on the grey correlation analysis. Firstly, the conventional prediction model was obtained through orthogonal experiments. Then the experimental data were processed by the grey correlation analysis method to obtain the correlation between temperature, humidity, wind speed, diameter of the water droplets and the ice coating morphology. The comparison between the values of the grey correlation analysis and the conventional prediction indicates that the conclusions are consistent. Therefore, it is concluded that the most serious Ling position locates in leaf front edge, three-quarters of the blade root. The influencing factors on the ice thickness of the wind turbine blades are sequentially humidity, water droplet diameter, wind speed and temperature. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Engineering for Thermal Energy & Power / Reneng Dongli Gongcheng is the property of Journal of Engineering for Thermal Energy & Power and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The ice will cause some harm to the wind turbine blades. In order to study the effect of icing on the aerodynamic performance of wind turbine blade, using the к-ε turbulence model, NACA 23012 airfoil was simulated and analyzed, the dynamic performances before and after the 40° angle of attack of the airfoil icing gas were emphatically analyzed. It was found that in the simulation of the airfoil under the condition of lift reduces and the resistance increases, the lift drag ratio decreases from 1.594 down to the 0. 7. The pressure cloud near wing displays that on the airfoil surface there is a vortex area. It shows that the aerodynamic performance deteriorates, and the airfoil stalls. At the same time, the pressure and air velocity around the airfoil were compared, the simulation results show that the air pressure and velocity fields around the airfoil are more serious. [ABSTRACT FROM AUTHOR]

In order to solve the problems in the design for wind turbine blade and in the modeling using design data, this paper expounds the main method for the design and calculation of aerodynamic performance of wind turbine blade and the programming process of the calculation with Visual C + + , compares the relevant data by examples, and analyzes the advantages and disadvantages of modeling methods through Solidworks, from which working out the accurate mode and method for blade modeling. The analysis result shows that the design and calculation based on dynamic stall theory can accurately design for blades, the accuracy of which depending on the number of stall sections. [ABSTRACT FROM AUTHOR]