首页> 外文会议>1997 ASNT's spring conference and Sixth annual research symposium >Preliminary computational identification of signature frequencies and amplitudes indicative of faults in carbon composite samples
【24h】

Preliminary computational identification of signature frequencies and amplitudes indicative of faults in carbon composite samples

机译:初步计算识别表明碳复合材料样品中断层的特征频率和幅度

获取原文
获取原文并翻译 | 示例

摘要

This paper reports on results from a series of experiments designed to establish the viability of identifying faults in carbon composite structures by computer. The hypothesis under vestigation is that good and faulty areas exhibit different characteristics when tapped and that these characteristics can be idenified by computer. The experiments were undertaken using a manufactured carbon composite sample with induced faults, but the technique is ultimately envisaged as applying to large-scale Non-Destructive Evaluation (NDE) of aircraft. The trace of the relaxation frequency resulting from the carbon composite sample being tapped was downloaded to a computer and analyzed. The results of the experiments are discussed, and it is argued that the experiments were successful in establishing the viability of the approach as it was possible to program the computer to isolate and report on the differences between good and faulty areas. At this stage of the project use was made of standard software applications packages and it is acknowledged it would not be practical in the field, it is too slow and unwieldy. However, the experiments did point the way to automating the processes so that it ultimately will be fast, user friendly and robust enough for use in the field.
机译:本文报告了一系列旨在通过计算机确定碳复合材料结构缺陷的可行性的实验结果。进行调查的假设是,点击时好的区域和故障区域显示出不同的特征,并且可以通过计算机识别这些特征。实验是使用人造碳复合材料样品制造的,该复合材料具有诱发故障,但最终设想将该技术应用于飞机的大规模无损评估(NDE)。将碳复合材料样品被敲击所产生的弛豫频率轨迹下载到计算机中并进行分析。讨论了实验结果,并认为实验成功地确立了方法的可行性,因为可以对计算机进行编程以隔离并报告好区和故障区之间的差异。在该项目的现阶段,使用的是标准的软件应用程序包,并且公认它在该领域不可行,因为它太慢且笨拙。但是,实验确实指出了使过程自动化的方法,这样它最终将很快,对用户友好并且足够健壮,可以在现场使用。

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