...
首页> 外文期刊>Measurement Science & Technology >Feasibility study of sludge and blockage detection inside pipes using guided torsional waves
【24h】

Feasibility study of sludge and blockage detection inside pipes using guided torsional waves

机译:导波引导下管道内污泥和堵塞检测的可行性研究

获取原文
获取原文并翻译 | 示例
           

摘要

The accumulation of sludge and blockages in pipes is a problem whichaffects many industries. It has been previously reported that in principle sludge and blockages can be detected and even characterized by using guided ultrasonic torsional waves, based on an idealized model in which the sludge layer was simplified in terms of geometry and material properties. The work revealed that the presence of a layer inside a pipe scatters the guided wave propagating in the pipe and both the reflection and transmission of the guided wave can be used to effectively detect and characterize the layer. Accordingly, two guided wave measurement techniques have been proposed. This paper proceeds the work by taking into account more realistic sludge characteristics, including irregular axial and circumferential profiles of the sludge layer, imperfect bonding state between the sludge and the pipe and the material damping of the sludge. The influence of these issues is investigated to identify the critical factors that influence the detection and characterization capability of the two measurements. The study shows that both reflection and transmission measurements can be exploited usefully and non-intrusively to detect realistic accumulations of sludge and blockages; however, the quantification of such materials will be difficult due to their arbitrary shape and properties.
机译:污泥和管道堵塞的累积是一个影响许多行业的问题。先前已经报道,基于理想化模型,原则上可以通过使用引导的超声波扭转波来检测甚至确定污泥和堵塞,在该模型中,在几何形状和材料特性方面简化了污泥层。这项工作表明,管道内层的存在会散射在管道中传播的导波,并且导波的反射和透射都可以用来有效地检测和表征该层。因此,已经提出了两种导波测量技术。本文通过考虑更实际的污泥特性来进行工作,包括污泥层的轴向和圆周轮廓不规则,污泥与管道之间的粘结状态不完善以及污泥的材料阻尼。对这些问题的影响进行了调查,以找出影响两个测量值检测和表征能力的关键因素。研究表明,反射率和透射率测量都可以被有用地和非侵入性地利用,以检测污泥和堵塞物的实际积累。但是,由于这些材料的任意形状和特性,很难对其进行定量。

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