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Nondestructive characterization of fretting fatigue damage

机译:微动疲劳损伤的非破坏性表征

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Fretting fatigue has been the cause of many premature failures in aerospace components. There is a growing need of nondestructive evaluation techniques to characterize damage and detect cracks due to fretting fatigue. This paper presents a methodology to characterize the fretting fatigue damage by analyzing the surface topography and to detect cracks under fretting fatigued surface by imaging heat generation due to high amplitude acoustic excitation. The White Light Interference Microscopy (WLIM) was used to obtain three-dimensional surface profilometry data of fretted and non-fretted regions of titanium alloy (Ti-6A1-4V) specimens subjected to different number of fretting fatigue cycles. Surface topography measurements were analyzed in terms of the Power Spectral Density (PSD) and Fretting Fatigue Damage Parameter (FFDP). The FFDP showed an increasing trend in magnitude with increasing numbers of fretting fatigue cycles, when the fretting fatigue damage occurred through stick-slip condition. When the fretting fatigue damage occurred due to gross sliding, the FFDP did not show enough change. Thus, it appears that FFDP may be used as an indicator of the degradation of fretted surface under stick-slip condition. Cracks in presence of fretting fatigue damage were imaged using Sonic infrared technique. This technique appears to have a capability to detect cracks with a resolution of at least 200 mum. The benefits and limitations of thes two NDE techniques for fretting fatigue damage evaluation and crack detection are discussed.
机译:微动疲劳已成为航空航天组件中许多过早失效的原因。越来越需要无损评估技术来表征损伤并检测由于微动疲劳而产生的裂纹。本文提出了一种通过分析表面形貌来表征微动疲劳损伤的方法,并通过对由于高振幅声激发而产生的热量进行成像来检测微动疲劳表面下的裂纹。使用白光干涉显微镜(WLIM)来获得经受不同微动疲劳循环次数的钛合金(Ti-6A1-4V)试样的有毛和无毛区域的三维表面轮廓数据。根据功率谱密度(PSD)和微动疲劳损伤参数(FFDP)分析了表面形貌测量结果。当微动疲劳损伤是通过粘滑状态发生时,FFDP随微动疲劳循环次数的增加而显示出大小趋势。当由于整体滑动而导致微动疲劳损坏时,FFDP的变化不足。因此,似乎FFDP可以用作粘滑条件下玻璃表面退化的指标。使用声波红外技术对存在微动疲劳损伤的裂纹进行成像。该技术似乎具有检测至少200微米分辨率的裂缝的能力。讨论了这两种无损检测技术在微动疲劳损伤评估和裂纹检测方面的优势和局限性。

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