Article
Engineering, Chemical
Panagiotis Zouboulis, Elias P. Koumoulos, Anna Karatza
Summary: Curved bladelets on wind turbine blades have a significant impact on improving performance and efficiency. Optimizing the shape and interior structure of the bladelet contributes to enhanced aerodynamic properties and reduced mass, leading to increased energy capture and cost reduction. The proposed workflow combines shape optimization, topology refinement, fluid dynamics studies, finite element analysis, and additive manufacturing to optimize the bladelet, resulting in a 30% torque improvement and 70% mass reduction.
Article
Engineering, Electrical & Electronic
Kyle Clocker, Congcong Hu, Jason Roadman, Roberto Albertani, Matthew L. Johnston
Summary: This paper presents an automated blade collision detection system for wind turbines, aiming to monitor and assess the impact of wind energy on wildlife. The system utilizes a wireless, multisensor module and a blade-mounted camera to measure surface vibrations and capture images of colliding objects. The development, training, and testing of automated detection algorithms using machine-learning approaches are described, with a focus on comparing different classification techniques. The integrated sensor and classification system demonstrates a novel approach for on-blade collision detection in wind turbines, applicable to various structural health monitoring applications.
IEEE SENSORS JOURNAL
(2022)
Article
Engineering, Mechanical
Dong Wang, HongRui Cao, YingYing Zhang
Summary: The dynamic characteristics of cracked turbine disks were investigated and three observation parameters were proposed as crack indicators. The qualitative and quantitative analysis results confirmed the sensitivity of these observation parameters to crack types and size parameters.
ENGINEERING FAILURE ANALYSIS
(2022)
Article
Physics, Fluids & Plasmas
Benjamin Frey, Patrick Snyder, Klaus Ziock, Ali Passian
Summary: The fiber Bragg grating (FBG) is studied for its spectral properties in sensing applications and emerging quantum squeezing and solitons. Despite the complex response of FBG sensors to external stimuli, there is no known analytical solution. By presenting a solid mechanics model and computing the optical modes and their behavior induced by temperature and stress, this problem is addressed.
Article
Engineering, Environmental
Pu Liu, Fanran Meng, Claire Y. Barlow
Summary: This study aims to investigate the economic feasibility of recycling options for wind turbine blade waste management. It suggests that mechanical recycling and fluidised-bed recycling are the optimal choices among the ready-to-go technologies, while chemical recycling is the best option for technologies currently available only at the lab scale.
RESOURCES CONSERVATION AND RECYCLING
(2022)
Article
Green & Sustainable Science & Technology
Rustem Manatbayev, Zhandos Baizhuma, Saltanat Bolegenova, Aleksandar Georgiev
Summary: The study focuses on the icing effects and ice accretion shapes on vertical axis wind turbines. Results show that ice shapes under different angles of attack significantly affect aerodynamic performance, especially in glaze ice conditions.
Article
Engineering, Marine
Hu Jiang, Yongying Jiang, Jiawei Xiang
Summary: Structural damage detection based on vibration signals has gained attention for its easy implementation. However, this method is not directly applicable to structures in operation. To address this limitation, a two-stage multi-damage detection method using operating deflection shape (ODS) and random forest (RF) techniques has been developed. It utilizes 2D wavelet transform and finite element method (FEM) to identify damage locations and establish relationships between natural frequencies and damage severities. Numerical simulations and experimental tests show that this method achieves acceptable damage-detection precision.
Article
Engineering, Electrical & Electronic
Zhonglin Ji, Franklin Li Duan, Ziyi Xie
Summary: Smart sensors are essential for achieving a more intelligent aero-engine, with a thin-film sensor array fabricated on the turbine blade surface using MEMS technology. The PtRh/Pt thin film thermocouples exhibit good stability and consistency on the blade surface, able to capture temperature distribution and respond quickly to dynamic heat flow.
IEEE SENSORS JOURNAL
(2021)
Article
Engineering, Marine
Zedong Wang, Ziqi Lu, Wenwu Yi, Junbo Hao, Yan Chen
Summary: This study develops a large deflection blade model to investigate the dynamic response of wind turbines. The results show that the flapwise deflection of the nonlinear blade is smaller than that of the linear blade under steady and below-rated wind speeds, but the opposite is true for above-rated wind speeds. In turbulence, the results of the linear and nonlinear models are consistent, indicating the reliability of the nonlinear blade based on the linear Euler-Bernoulli beam.
Article
Materials Science, Multidisciplinary
Antonios Tempelis, Leon Mishnaevsky Jr
Summary: This paper presents a computational model for predicting the roughness evolution of wind turbine blade surfaces. The model takes into account fatigue damage calculations and rain droplet impact simulations, and incorporates a novel method for calculating material roughness caused by multiple random liquid impacts. The model's accuracy was verified by comparing its output to measurements from a rain erosion tester.
MATERIALS & DESIGN
(2023)
Article
Engineering, Mechanical
Le Zhang, Jiadan Wei
Summary: This paper presents a method using millimeter-wave radar sensor for measuring windturbine blade clearance and proposes a control method to increase the blade clearance distance for safety.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Engineering, Electrical & Electronic
Junfeng Yu, Yunze He, Hao Liu, Fan Zhang, Jie Li, Gaosen Sun, Xiaofei Zhang, Ruizhen Yang, Pan Wang, Hongjin Wang
Summary: This study improves the basic U-Net semantic segmentation neural network for infrared image segmentation of wind turbine blades by integrating hierarchical-split depthwise separable convolution block to increase segmentation accuracy. Fusion of convolution layer and batch normalization layer is performed to achieve a better speed-accuracy tradeoff. Experimental results show that the proposed approach outperforms all the comparing methods and demonstrates superior runtime performance and accurate segmentation with excellent anti-interference performance.
IEEE SENSORS JOURNAL
(2023)
Article
Thermodynamics
Minho Bang, Seungyeong Choi, Seok Min Choi, Dong-Ho Rhee, Hee Koo Moon, Hyung Hee Cho
Summary: This study investigates the cooling effectiveness and flow characteristics of a turbine blade tip using a special slot cooling scheme. The slot cooling exhibits significantly enhanced cooling performance compared to cooling holes, providing better thermal durability and reliability for the blade tip.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2023)
Article
Green & Sustainable Science & Technology
Bridget Moynihan, Babak Moaveni, Sauro Liberatore, Eric Hines
Summary: This paper introduces an inference method for computing the forces and bending moments on operating wind turbine blades using strain measurements and SCADA data. The method accurately estimates the internal forces and bending moments on the blades by inferring missing information and comparing with a reference turbine.
Article
Engineering, Electrical & Electronic
Ruining Tong, Peng Li, Lian Gao, Xun Lang, Aimin Miao, Xin Shen
Summary: A novel ellipsoidal semisupervised extreme learning machine (ESS-ELM) algorithm is proposed in this study, which uses an ellipsoidal nearest neighbor graph (ENNG) calculation strategy to improve the performance of wind turbine blade icing fault detection. By adaptively assigning calculation weights to each feature in the data space, the ENNG matches the smoothness assumption of the manifold regularization learning framework, and the introduction of enhancement and degradation factors further enhances the applicability and security of the proposed ESS-ELM algorithm.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2022)
