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首页> 外文会议>AIAA SciTech forum;ASME wind energy symposium >Development and Assessment of Advanced Inspection Methods for Wind Turbine Blades Using a Focused WINDIE Experiment
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Development and Assessment of Advanced Inspection Methods for Wind Turbine Blades Using a Focused WINDIE Experiment

机译：利用聚焦WINDOW实验开发和评估先进的风力涡轮机叶片检查方法

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Wind turbine blades pose a unique set of inspection challenges that span from very thick and attentive spar cap structures to porous bond lines, varying core material and a multitude of manufacturing defects of interest. The need for viable, accurate nondestructive inspection (NDI) technology becomes more important as the cost per blade, and lost revenue from downtime, grows. NDI methods must not only be able to contend with the challenges associated with inspecting extremely thick composite laminates and subsurface bond lines but must also address new inspection requirements stemming from the growing understanding of blade structural aging phenomena. Under its Blade Reliability Collaborative program, Sandia Labs quantitatively assessed the performance of a wide range of NDI methods that are candidates for wind blade inspections. Custom wind turbine blade test specimens, containing engineered defects, were used to determine critical aspects of NDI performance including sensitivity, accuracy, repeatability, speed of inspection coverage, and ease of equipment deployment. The Sandia Wind NDI Experiment (WINDIE) was completed to evaluate fifteen different NDI methods that have demonstrated promise for interrogating wind blades for manufacturing flaws or in-service damage. These tests provided the information needed to identify the applicability and limitations of advanced inspection methods for wind turbine blades. Ultimately, the proper combination of several inspections methods may be required to produce the best inspection sensitivity and reliability for both near-surface and deep, subsurface damage. Based on these results, phased array ultrasonics was selected for further development and introduction at blade manufacturing facilities. Hardware was developed and customized to optimize UT sensitivity and deployment to address blade inspection needs. Inspection procedures were produced and beta tested at blade production facilities. This study has identified one optimum overall NDI method while determining complimentary NDI methods that can be applied to produce a comprehensive blade inspection system. The detection of fabrication defects helps enhance plant reliability and increase blade life while improved inspection of operating blades can result in efficient blade maintenance, facilitate repairs before critical damage levels are reached and minimize turbine downtime.
机译：风力涡轮机叶片带来了一系列独特的检查挑战，从非常厚且细心的翼梁盖结构到多孔粘结线，变化的芯材以及许多令人关注的制造缺陷。随着每个刀片的成本以及停机造成的收入损失的增加，对可行，准确的无损检测（NDI）技术的需求变得越来越重要。 NDI方法不仅必须能够应对与检查极厚的复合材料层压板和地下粘结层相关的挑战，而且还必须满足对叶片结构老化现象日益了解的新检查要求。在其叶片可靠性合作计划下，桑迪亚实验室（Sandia Labs）定量评估了各种NDI方法的性能，这些方法适合进行叶片检查。使用定制的包含工程缺陷的风轮机叶片测试样本来确定NDI性能的关键方面，包括灵敏度，准确性，可重复性，检查范围的速度以及设备部署的便利性。桑迪亚风NDI实验（WINDIE）已完成，以评估15种不同的NDI方法，这些方法已证明可以对制造制造缺陷或使用中的损坏的风力涡轮机进行询问。这些测试提供了确定风力涡轮机叶片高级检查方法的适用性和局限性所需的信息。最终，可能需要对几种检查方法进行适当的组合，以针对近表面和深层，地下损伤产生最佳的检查灵敏度和可靠性。基于这些结果，选择了相控阵超声以进一步开发和引入叶片制造设备。硬件已开发和定制，以优化UT灵敏度和部署，从而满足刀片检查需求。制定了检查程序，并在刀片生产设备上进行了Beta测试。这项研究确定了一种最佳的总体NDI方法，同时确定了可用于生产综合刀片检查系统的互补NDI方法。对制造缺陷的检测有助于提高设备可靠性并延长叶片寿命，而对运行中的叶片进行更好的检查可以提高叶片的维护效率，在达到关键损坏水平之前便于维修，并最大程度地缩短了涡轮机的停机时间。

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