基于无人机图像的风力发电机叶片缺陷识别

针对风力发电机叶片人工检测低效,缺陷诊断难的问题,提出一种基于无人机与图像处理的风力发电机叶片缺陷识别方法。通过Halcon 12与Visual Studio 2015的联合开发,实现图像处理流程、检测结果输出以及缺陷回放等功能,包括相机标定、通过快速自适应加权中值滤波处理图像、动态阈值分割叶片图像缺陷特征,利用区域处理识别裂纹和砂眼等缺陷,并对缺陷进行分类与测量以及输出对叶片质量的分析报告等,实现风力发电机叶片表面缺陷的自动检测功能。通过实例验证了该方法在风力发电机叶片表面缺陷检测中的较高精确性与算法稳定性。     

带冠涡轮叶片的接触分析

以航空发动机动力涡轮一级带锯齿形叶冠的转子叶片为例,用有限元接触分析方法对装配和工作状态下的叶冠紧度和叶冠接触力、叶身应力进行了计算和分析,着重考察了工作载荷(温度和离心力)对叶冠接触力的影响。分析结果表明,叶冠的紧度由预扭角和工作载荷决定,离心力对紧度的变化起主要作用。     

陶瓷涂层在航空发动机涡轮叶片表面处理中的应用

从涂层材料、制备方法、涂层特点及存在的问题等几个方面介绍了作层技术的研究和发展状况,并针对航空发动机涡轮叶片,在分析了陶瓷涂层作为叶片热障涂层的应用研究状况和效能的同时,提出在叶片易磨损部位的修复中应用陶瓷涂层以及直接用陶瓷涂层作为叶片耐磨涂层的设想。     

Modeling Smart Structure of Wind Turbine Blade

With the increasing size of wind turbine blades, the need for more sophisticated load control techniques has induced the interest for aerodynamic control systems with build-in intelligence on the blades. The paper aims to provide a way for modeling the adaptive wind turbine blades and analyze its ability for vibration suppress. It consists of the modeling of the adaptive wind turbine blades with the wire of piezoelectric material embedded in blade matrix, and smart sandwich structure of wind turbine blade. By using this model, an active vibration method which effectively suppresses the vibrations of the smart blade is designed.     

汽轮机叶片叶型测量综述

详细介绍了目前国内外汽轮机叶片和飞机叶片的主要测量方法的测量原理及每１种测量方法能达到的测量精度。最后，作者对叶片未来测量仪器的设计提出了一些自已的观点和建议，对叶片测量仪器的设计具有一定的参考价值。     

叶片结构形式和优化方法概述

本文总结了用于风机叶片主要组成部分结构设计的基本理论和方法,包括蒙皮、主梁、根部三个重要部分.此外,根据设计上采用的理论和经验公式描述的大型风力发电机组叶片结构形式,提出了结构设计改进中需要注意的主要问题,以及结构改进的主要方向.     

航空发动机离心叶轮叶片的振动设计

对航空发动机离心叶轮叶片的振动设计中的有关问题进行了探讨.介绍了离心叶轮的结构特点和振动破坏模式,探讨了引起共振的原因及相应的改进措施,讨论了离心叶轮叶片强度振动分析方法.     

自带冠叶片减振实验分析

通过实验研究了高维非线性系统--整圈自带冠叶片减振系统.实验采用了应变片-遥测技术采集叶片根部的动应变数据.通过对实验数据的分析得到了叶片减振效果与叶冠间间隙的关系.     

Issues of Simulation of Turbomachine Blade Vibration

Theoretical and experimental investigations confirm that the theory of beams can be used, within its applicability range, for express-analysis of the frequency spectrum of turbomachine blades. A detailed analysis of the displacement and stress fields in the vibration of blades requires using three-dimensional models.     

Microwaves Sensor for Wind Turbine Blade Inspection

The structural integrity of wind turbine blades can be adversely affected by their structural dynamics, temperature extremes, lightning strikes, ultraviolet radiation from sunlight and airborne particulate matter such as hailstones and sand. If subsurface delamination occurs and is undetected then this can lead to fibre breakage and catastrophic failures in composite blades. In this paper we introduce a microwave scanning technique that detects such delamination in practical blade assemblies. Using an open-ended waveguide sensor, the electromagnetic signal reflected from the composite is found to have a phase profile that can detect changes in the composite cross section. Glass fibre T-joints are scanned and the results used to detect thickness variations (e.g., the presence of the web) and delamination. Results are compared across the 18–20 GHz frequency band. The dielectric permittivity of the composite system is measured and is used to estimate the stand-off distance and operating frequency of the sensor. This is critical to the system’s ability to detect damage. When the sensor is close to the surface of the structure (standoff distance?≈?5 mm), delamination down to 0.2 mm in width could be detected.     

汽轮机振动保护的优化与分析

介绍了山西大唐国际临汾热电有限责任公司（以下简称临汾热电公司）2×300MW机组汽轮机振动保护优化的实际案例,重点对优化前后振动保护配置的情况进行了对比分析和探讨,并提出几点注意事项,对提高汽轮机振动保护的可靠性,减少保护误动和拒动的发生具有重要参考意义。     

风电叶片前缘防护

风能被认为是当今所有可用能源中最具有发展潜力的,已经成为新能源发电中不可或缺的一部分。风力机叶片是风力机的重要部件,对风力机的运行效率和使用寿命起着至关重要的作用。但风力发电场通常都建在具有高温或高寒、酸碱腐蚀和沙尘暴环境的地方,风力发电机组工作条件差,风电叶片的前缘由于线速度高,极易受到侵蚀。作者综述了影响风电叶片前缘防护的因素及前缘防护的保护方案,并提出了风电叶片前缘防护发展中所存在的问题。     

叶片泵振动机理特性分析及改进设计

机械设备振动和设备组成、工作机理、工作状态等息息相关,船用常见设备如水泵、风机等由于工作机理各不相同,其振动频率特性也各不相同。通过对旋转类设备振动特征进行对比分析,分析设备主要振源及其成因,提出设备改进方向,并进行针对性改进设计,试验结果表明,取得了良好的效果。     

Structural Analysis and Design of the Composite Wind Turbine Blade

The wind turbine blade sustains various kinds of loadings during the operation and parking state. Due to the increasing size of the wind turbine blade, it is important to arrange the composite materials in a sufficient way to reach the optimal utilization of the material strength. Most of the composite blades are made of glass fibers composites while carbon fibers are also employed in recent years. Composite materials have the advantages of high specific strength and stress. This study develops a GUI interface to construct the blade model for the stress analysis using ANSYS. With the aid of visualization interface, the geometric model of the blade can be constructed by only a few data inputs. Based on the numerical stress analysis of the turbine blade, a simple iterative method was proposed to design the structure of the composite blade.     

风力发电机耦合振动分析

采用叶素动量理论进行风力机气动力学的计算分析,并用MATLAB/simulink进行编程,建立风力机传动链的数学模型并在MATLAB/simulink中进行传动链系统的编程运算,建立风力机ADAMS柔性多体结构动力学仿真模型,将MATLAB/simulink和ADAMS进行风力机振动性能的联合仿真;将计算的气动载荷加载到风力机叶片结构上,将传动系统模型的反扭矩加到ADAMS风轮模型上,同时风力机的结构变形也对气动性能、传动性能产生耦合影响,仿真最终实现风力机系统振动性能耦合分析。仿真数据同实验测试数据比较表明,该联合仿真方法可以较好的模拟风力机的振动特性。研究为风力机振动特性分析进行了一次有益的探索。     

某发动机涡轮转子叶片断裂原因分析

发动机涡轮转子叶片在长期试车时发生断裂.对断裂叶片进行了宏观分析、断口分析、显微分析及化学成分分析,并对断裂原因进行了探讨.结果表明,叶片断裂主要是高温蠕变断裂.材料抗蠕变能力偏低和叶片内有较严重的铸造疏松及发动机涡轮部分工作温度有超高现象是叶片蠕变断裂的主要因素.     

Second Stage Gas Turbine Blade Premature Replacement Investigation

This article investigates the root causes of the premature failure and replacement of a set of second-stage turbine blades from a heavy industrial gas turbine engine. The investigations included dye-penetrant testing, optical microscopy, X-ray diffractometry (XRD), Environmental Scanning Electron Microscopy (ESEM), and energy dispersive X-ray spectroscopy (EDS) techniques. Moreover, the effect of heat treatment process on restoring the blade microstructure so that the properties were suitable for service was also explored. As a result of the investigation, the second-stage turbine blades premature failure was attributed to the grain boundary secondary phase precipitates. These precipitates were present in the “as-found” condition of the investigated blades.     

All-MXene-Printed RF Resonators as Wireless Plant Wearable Sensors for In Situ Ethylene Detection

Printed flexible electronics have emerged as versatile functional components of wearable intelligent devices that bridge the digital information networks with biointerfaces. Recent endeavors in plant wearable sensors provide real-time and in situ insights to study phenotyping traits of crops, whereas monitoring of ethylene, the fundamental phytohormone, remains challenging due to the lack of flexible and scalable manufacturing of plant wearable ethylene sensors. Here the all-MXene-printed flexible radio frequency (RF) resonators are presented as plant wearable sensors for wireless ethylene detection. The facile formation of additive-free MXene ink enables rapid, scalable manufacturing of printed electronics, demonstrating decent printing resolution (2.5% variation), ≈30000 S m⁻¹ conductivity and mechanical robustness. Incorporation of MXene-reduced palladium nanoparticles (MXene@PdNPs) facilitates 1.16% ethylene response at 1 ppm with 0.084 ppm limit of detection. The wireless sensor tags are attached on plant organ surfaces for in situ and continuously profiling of plant ethylene emission to inform the key transition of plant biochemistry, potentially extending the application of printed MXene electronics to enable real-time plant hormone monitoring for precision agriculture and food industrial management.