EFFECTS OF IN718 GRAIN SIZE ON ULTRASONICBACKSCATTING SIGNALS AND ITS NONDE-STRUCTIVE EVALUATION METHOD

doi:10.11900/0412.1961.2015.00367

Acta Metall Sin

2016, Vol. 52

Issue (3): 378-384 DOI: 10.11900/0412.1961.2015.00367

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EFFECTS OF IN718 GRAIN SIZE ON ULTRASONICBACKSCATTING SIGNALS AND ITS NONDE-STRUCTIVE EVALUATION METHOD

Yongfeng SONG¹,Xiongbing LI^1,²(

),Haiping WU¹,Jiayong SI²,Xiaoqin HAN¹

1 School of Traffic & Transportation Engineering, Central South University, Changsha 410075, China
2 State Key Laboratory of Powder Metallurgy, Central South University, Changsha 410083, China

Cite this article:

Yongfeng SONG, Xiongbing LI, Haiping WU, Jiayong SI, Xiaoqin HAN. EFFECTS OF IN718 GRAIN SIZE ON ULTRASONICBACKSCATTING SIGNALS AND ITS NONDE-STRUCTIVE EVALUATION METHOD. Acta Metall Sin, 2016, 52(3): 378-384.

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Abstract

Superalloy In718 enjoys wide application in such crucial parts as turbine engine disks due to high strength, great toughness and corrosion resistance in different temperature environment. Since the mechanical properties of superalloy In718 are greatly influenced by the grain size, a nondestructive detection method is studied in order to determine the grain size quickly and effectively. In this work, superalloy In718 samples of different grain sizes were produced and the empirical mode decomposition (EMD) method was employed to find the characteristics of the time-frequency domain of the ultrasonic backscattering signals. Then the effects of the grain size over the intrinsic mode function (IMF) of different frequency bands were analyzed to seek the relations between the grain size and the power of the IMF signals. The original backscattering signals and IMF1 (the first IMF) signals barely respond to the change of the grain size because of their wide frequency bandwidths; the distribution of the frequency domain of the IMF2 signals is centralized and the amplitude of the peak frequency increases with the grain size, and the correlation coefficient between the power and the grain size is 0.995, much higher than that of other modes. This method eliminates the components irrelative to the grain size and takes the IMF2 components which fully reflect the intensity of the grain scattering as the characteristic signals of the grain size evaluation to build an ultrasonic backscattering EMD model evaluating the grain size of superalloy In718. The actual measurement results of the grain size show that the sensitivity of this method is 3.7 times over the traditional backscattering method; the evaluation errors over the two verification test samples are -3.72% and 2.87%, apparently more accurate than the ultrasonic velocity method; compared with the attenuation method, this method requires no information of the thickness so that the evaluation results are independent of the thickness measuring error; compared with the metallographic method, this method is more efficient and requires no damage on the components to be evaluated.

Key words: superalloy In718 grain size ultrasonic nondestructive evaluation backscattering signal empirical mode decomposition intrinsic mode function

Received: 10 July 2015

Fund: Supported by National Natural Science Foundation of China (Nos.61271356 and 51575541), High Technology Research and Development Program of China (No.2012AA03A514), Fundamental Research Funds for the Central Universities (No.2014zzts203) and State Key Laboratory of Powder Metallurgy Foundation (No.2014M562126)

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	Yongfeng SONG
	Xiongbing LI
	Haiping WU
	Jiayong SI
	Xiaoqin HAN

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https://www.ams.org.cn/EN/10.11900/0412.1961.2015.00367 OR https://www.ams.org.cn/EN/Y2016/V52/I3/378

Fig.1 Schematics of ultrasonic A-wave signal collection (a) backscattering of acoustic beams(b) ultrasonic A-wave signal (t--serial number of sampling points, u(t)--voltage amplitude)

Fig.2 OM images of samples No.1 (a), No.2 (b), No.3 (c), No.4 (d) and No.5 (e) (Inset shows the SEM image of δ phase)

Fig.3 Backscattering signals of samples No.1 (a), No.3 (b) and No.5 (c)

Fig.4 Spectrograms of the backscattering signals of samples No.1 (a), No.3 (b) and No.5 (c) (f--frequency)

Fig.5 Original backscattering signal (s), the mean intrinsic mode function for five different siftings (IMF1~ IMF5) and the residue (r) of sample No.1

Fig.6 Relationships between the mean power of each IMF and the grain size

Fig.7 Spectrograms of IMF of samples No.1 (a), No.3 (b) and No.5 (c)

Fig.8 Spectrograms of the IMF2 components of samples No.1, No.3 and No.5

Table 1 Performance analysis of the four models

Fig9 Different models for grain size evaluation
(a) empirical mode decomposition (EMD) backscattering model (b) traditional backscattering model
(c) attenuation model (d) velocity model

Fig 10 OM images of samples T1 (a) and T2 (b)

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