Sonic infrared imaging of fatigue cracks

Favro, L. D.; Thomas, R. L.; Han, Xiaoyan; Ouyang, Zi; Newaz, Golam; Gentile, Domenico

doi:10.1016/s0142-1123(01)00151-7

Cited by 82 publications

(27 citation statements)

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“…Thermosonic imaging or vibrothermography was first developed by Favro et al (2001). Ultrasounds are employed as a source of excitation to cause the interfaces of defects to clap or rub against each other, and the heat thus produced can be observed with an infrared camera.…”

Section: Nondestructive Inspectionmentioning

confidence: 99%

Compression After Impact and Fatigue of Reconsolidated Fiber-reinforced Thermoplastic Matrix Solid Composite Laminate

Tarpani

Canto

Saracura

et al. 2014

Procedia Materials Science

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Carbon fiber-reinforced poly-phenylene sulfide laminate coupons were impacted at low-energy in a drop-tower machine and subsequently fatigued in a four-point bending fixture. The doubly damaged test pieces were then hot-press reconsolidated and inspected nondestructively by vibrothermography to check their structural integrity. The residual mechanical properties of the laminate in both the as-damaged and as-repaired conditions were determined by compression loading with the in-plane strain fields determined via a digital image correlation system. Cross-section views of damaged and repaired samples were analyzed by light optical microscopy and correlated to residual mechanical properties, as were the digital image correlation and nondestructive test results. Based on the values of stiffness and ultimate strength of the repaired laminates, 10 J was inferred as the maximum impact energy at which it is worthwhile performing hot-press reconsolidation, in view of the applied fatigue history following impact.

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Section: Nondestructive Inspectionmentioning

confidence: 99%

Compression After Impact and Fatigue of Reconsolidated Fiber-reinforced Thermoplastic Matrix Solid Composite Laminate

Tarpani

Canto

Saracura

et al. 2014

Procedia Materials Science

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“…[1][2][3][4][5][6][7] This heat appears bright in the experimental image as the indication of a defect. The effect appears to begin on a time scale of milliseconds or less after the initiation of a sound pulse in the sample.…”

Section: Introductionmentioning

confidence: 98%

Developing signal processing method for recognizing defects in metal samples based on heat diffusion properties in sonic infrared image sequences

et al. 2013

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Abstract. In sonic infrared (SonicIR) imaging, heat is generated in defect areas during the sonic pulse; the heat appears bright in SonicIR images as the indication of a defect. However, in practical applications of SonicIR, there are lots of disturbing bright areas in infrared images, such as heat reflection and paint problem. When crack size is small, the generated heat appears not bright enough to be recognizable. Based on heat diffusion properties in the one-dimensional temporal and two-dimensional spatial domain, a method is developed to automatically recognize defect signals from SonicIR image sequences. The algorithm is verified with the SonicIR image sequences of 100 metal plates which may have different thickness, materials, or crack sizes. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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“…Sonic IR inspection is performed by exciting the structure under inspection by an ultrasonic pulse. The sound vibrations will cause frictional heating at the defect, and an IR camera is then used to capture the resulting heating [2][3][4].This technology can detect both surface and subsurface defects such as cracks and disbands/delaminations in various materials, metal/metal alloy or composites [5][6][7].…”

Section: Introductionmentioning

confidence: 99%