A novel random void model and its application in predicting void content of composites based on ultrasonic attenuation coefficient

Liu, Lin; Zhang, Xiang; Mu, Yunfei; Li, Ximeng

doi:10.1007/s00339-010-6061-x

Cited by 33 publications

(14 citation statements)

References 27 publications

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“…The porosity is obtained by calculating the derivative of the decay rate with respect to frequency d df D . In order to obtain the derivative, it often takes more than one location measurement and then calculate the average because of the heterogeneity of pore distribution in the material [6]. It shows a good linear relationship between the derivative of the decay rate with respect to frequency and porosity.…”

Section: A Porosity Measurement Theorymentioning

confidence: 98%

Ultrasonic transmission method for testing curved composite parts

Wang

Pan

et al. 2012

2012 IEEE International Conference on Mechatronics and Automation

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In this paper, the detection of common defects such as inclusion, delamination for curved composite materials is studied. The principle of measuring porosity is focused on introducing. The technology of trajectory planning and motion control for twin-robot system of testing various curved composite parts using ultrasonic transmission method is also discussed. An ultrasonic NDT system is developed for testing large-scaled curved composite components used in aerospace and other fields. With many advantages, it will be very significant for our nondestructive testing work.

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Section: A Porosity Measurement Theorymentioning

confidence: 98%

Ultrasonic transmission method for testing curved composite parts

Wang

Pan

et al. 2012

2012 IEEE International Conference on Mechatronics and Automation

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“…The probe was placed at the upper boundary of RMVM, and a Sine-Gauss function was chosen as the pulse function, which was similar to the actual emission pulse. The other parameters were referred to [9]. lg p dp   (2) where p 0 and p were the acoustic pressure of incident wave and reflected wave, respectively.…”

Section: Numerical Calculationsmentioning

confidence: 99%

“…Birt and Smith [3] summarized the previous ultrasonic methods for porosity measurement, and concluded that the void morphology played an important role on the porosity detection. Thus, based on random medium theory and statistical principle, Lin et al [8][9][10] proposed a random void model (RVM). The spatial autocorrelation function and statistical parameters were used to describe the large-scale heterogeneity from the composite matrix and the small-scale heterogeneities of elastic fluctuations from random voids.…”

Section: Introductionmentioning

confidence: 99%

Pore Morphology Influence at Porosity Ultrasonic Testing of CFRP by Pulse-Echo Method

Boychuk¹,

Chertischev²,

Dikov³

et al. 2018

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At present, the porosity of carbon fiber reinforced plastic (CFRP) is usually determined by measuring ultrasonic attenuation coefficient. The available detection models mainly focus on the ultrasonic scattering mechanism from regular voids, and pay little attention to the real random voids. However, some researches have demonstrated that the interaction between natural voids and ultrasonic beam is much more complicated than that of regular voids. Due to random and complex morphology of actual voids, is it is extremely difficult to precisely describe the voids as well as their effects on ultrasonic scattering. In this paper, based on image processing technology and statistical methods, a real morphology void model (RMVM) was established for CFRP laminates. A series of photomicrograph with the porosity from 0.58% to 3.49% were simulated to investigate the relationship between porosity P and ultrasonic attenuation coefficient α. Simulated results showed that the P-α scatter diagram presented a banded distribution, and the fluctuation range of attenuation coefficient enlarged with the increase of porosity. The non-unique corresponding relationship between P and α was further verified by experiments. It is concluded that the complex void morphology affects the relationship between porosity and ultrasonic attenuation coefficient.

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“…method is a useful tool for the simulation of ultra-226 sonic propagation in the anisotropic medium[23][24][25]. The model227 with an area of 96 mm Â 144 mm was acquired for FDTD process-228 ing shown inFig.…”

mentioning

confidence: 99%