首页> 外文期刊>Marine Structures >Eddy current thermography imaging for condition-based maintenance of overlay welded components under multi degradation
【24h】

Eddy current thermography imaging for condition-based maintenance of overlay welded components under multi degradation

机译:涡流热成像技术,用于在多次劣化下基于条件的堆焊件维护

获取原文
获取原文并翻译 | 示例
       

摘要

This paper presents a new multi-wave imaging method for the condition-based maintenance of offshore hydraulic systems containing overlay welded components under multi degradation. These components suffer from combined tribocorrosion interacting with static and cyclic loading, for which effective mathematical models have not yet been established. In this paper, we propose eddy current thermography imaging for real-time structural health monitoring to enable condition-based maintenance of these critical components. The main challenge for the structural health monitoring of these components is that defects are often embedded at the substrate-coating interfacial regions that have irregular shapes in anisotropic and heterogeneous material as a result of the welding process. The eddy current thermography imaging method utilizes coupled electromagnetic thermal fields and diffusion waves for robust detection of these hidden defects. A mathematical algorithm and software based on the discrete Fourier transform of thermal videos registered by an infrared detector was developed to characterize and visualize defects. The detectability of this method was investigated using a real cobalt superalloy overlay welded onto a carbon steel piston rod, in which an artificial volumetric defect was made at the interfacial region. The probability of detection and condition-based maintenance using the detected defect data is discussed based on the P-F curve and the probability of failure graphs. (C) 2017 Elsevier Ltd. All rights reserved.
机译:本文提出了一种新的多波成像方法,用于基于条件的海上液压系统的状态维护,其中包含多级退化情况下的堆焊零件。这些部件遭受摩擦摩擦与静载荷和循环载荷相互作用的影响,为此尚未建立有效的数学模型。在本文中,我们提出了涡流热像仪成像技术,用于实时结构健康监测,以使这些关键组件能够进行基于状态的维护。这些部件的结构健康监测的主要挑战在于,由于焊接工艺的原因,缺陷通常会嵌入在各向异性的异质材料中具有不规则形状的基材涂层界面区域。涡流热成像技术利用耦合的电磁热场和扩散波对这些隐藏缺陷进行稳健检测。开发了一种基于红外探测器记录的热视频离散傅立叶变换的数学算法和软件,以表征和可视化缺陷。使用焊接在碳钢活塞杆上的真实钴高温合金覆盖层研究了该方法的可检测性,其中在界面区域产生了人工体积缺陷。基于P-F曲线和故障概率图,讨论了使用检测到的缺陷数据进行检测和基于状态维护的概率。 (C)2017 Elsevier Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号