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小型风力发电机叶片的红外无损检测研究 被引量:2

Research on infrared nondestructive detection of small wind turbine blades
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摘要 为获得风力发电机叶片现场红外无损检测的最佳光照条件,该文以赋有不同损伤类型及不同损伤程度的2 kW小型风力发电机叶片为研究对象,利用被动式红外热成像检测方式,在夏季光照充足的室外条件下对损伤叶片进行自然激励,采集红外热像图。研究结果表明光照强度对损伤检测有着极大的影响,并且得到风机叶片三种典型损伤的最佳检测光照条件,其中异物附着和面部损伤在午间光照强度达到1000 W/m^(2)及以上检测效果最佳,而裂纹损伤在晴朗的午后光照强度为900 W/m^(2)左右检测效果佳,从而证明利用太阳辐射作为发射源的被动式红外热成像检测技术来检测风机叶片损伤的方法在一定光照强度范围之内是可行的。 In order to obtain the best lighting conditions for on-site infrared nondestructive testing of wind turbine blades,this paper takes 2 kW small wind turbine blades with different damage types and different damage degrees as the research object,and uses passive infrared thermal imaging detection method to perform natural excitation on damaged blades under outdoor conditions with sufficient light in summer,and collect infrared thermal images.The research results show that the light intensity has a great impact on the damage detection,and the best light conditions for the detection of three typical damage of fan blades are obtained.Among them,foreign body attachment and facial damage have the best detection effect when the light intensity reaches 1000 W/m2 or above at noon.The crack damage detection effect is good when the light intensity is about 900 W/m2 in a clear afternoon,which proves that the passive infrared thermal imaging detection technology using solar radiation as the emission source to detect fan blade damage is feasible within a certain light intensity range.
作者 王晨 顾永强 WANG Chen;GU Yongqiang(School of Civil Engineering,Inner Mongolia University of Science and Technology,Baotou 014010,China)
出处 《中国测试》 CAS 北大核心 2023年第7期35-40,共6页 China Measurement & Test
基金 内蒙古自治区自然科学联合基金(2018LH05008)。
关键词 风力机叶片 无损检测 红外热成像 损伤 wind turbine blade nondestructive detection infrared thermal imaging damage
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