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Frontiers of Mechanical Engineering

ISSN 2095-0233

ISSN 2095-0241(Online)

CN 11-5984/TH

邮发代号 80-975

2019 Impact Factor: 2.448

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Frontiers of Mechanical Engineering  2016, Vol. 11 Issue (3): 233-241   https://doi.org/10.1007/s11465-016-0400-3
  本期目录
Fatigue features study on the crankshaft material of 42CrMo steel using acoustic emission
Yue SHI1,Lihong DONG2,*(),Haidou WANG2,*(),Guolu LI1,*(),Shenshui LIU1
1. School of Materials Science and Engineering, Hebei University of Technology, Tianjin 300130, China
2. National Key Laboratory for Remanufacturing, Academy of Armored Forces Engineering, Beijing 100072, China
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Abstract：

Crankshaft is regarded as an important component of engines, and it is an important application of remanufacturing because of its high added value. However, the fatigue failure research of remanufactured crankshaft is still in its primary stage. Thus, monitoring and investigating the fatigue failure of the remanufacturing crankshaft is crucial. In this paper, acoustic emission (AE) technology and machine vision are used to monitor the four-point bending fatigue of 42CrMo, which is the material of crankshaft. The specimens are divided into two categories, namely, pre-existing crack and non-pre-existing crack, which simulate the crankshaft and crankshaft blank, respectively. The analysis methods of parameter-based AE techniques, wavelet transform (WT) and SEM analysis are combined to identify the stage of fatigue failure. The stage of fatigue failure is the basis of using AE technology in the field of remanufacturing crankshafts. The experiment results show that the fatigue crack propagation style is a transgranular fracture and the fracture is a brittle fracture. The difference mainly depends on the form of crack initiation. Various AE signals are detected by parameter analysis method. Wavelet threshold denoising and WT are combined to extract the spectral features of AE signals at different fatigue failure stages.
Key words： acoustic emission    fatigue failure    remanufacturing crankshaft    wavelet analysis
收稿日期: 2016-04-08      出版日期: 2016-08-31
Corresponding Author(s): Lihong DONG,Haidou WANG,Guolu LI   
 引用本文:   
. [J]. Frontiers of Mechanical Engineering, 2016, 11(3): 233-241.
Yue SHI,Lihong DONG,Haidou WANG,Guolu LI,Shenshui LIU. Fatigue features study on the crankshaft material of 42CrMo steel using acoustic emission. Front. Mech. Eng., 2016, 11(3): 233-241.
 链接本文:  
https://academic.hep.com.cn/fme/CN/10.1007/s11465-016-0400-3
https://academic.hep.com.cn/fme/CN/Y2016/V11/I3/233
Element Mass fraction/% Element Mass fraction/%
C 0.380 to 0.450 Cr 0.900 to 1.200
Si 0.170 to 0.370 Ni ≤0.030
Mn 0.500 to 0.800 Cu ≤0.030
S ≤0.035 Mo 0.150 to 0.250
Tab.1  
Property Numerical value
Yield strength 930 MPa
Tensile strength 1080 MPa
Elongation percentage 12%
Percentage reduction of area 45%
Tab.2  
Fig.1  
Fig.2  
Fig.3  
Fig.4  
Fig.5  
Fig.6  
Fig.7  
Fig.8  
Fig.9  
Fig.10  
Fig.11  
Fig.12  
Specimen Stress intensity/MPa The numberof cycles The number of hits The numberof waveform Average AE hits
Non-pre-exiting crack 650 135900 709188 709156 5
600 294300 852427 852733 3
550 436650 921666 922451 2
Pre-existing crack 550 8040 112425 112425 14
Tab.3  
Fig.13  
Fig.14  
Fatigue failure stage Waveform signal Signal types
Crack initiation Continuous
Crack propagation Mixed
Crack propagation Burst
Fracture Burst
Tab.4  
Fatigue failure stage Spectral feature Spectral content/kHz Highest frequency/kHz
Crack initiation 63 to 114 Low frequency: 96
Crack propagation 71 to 295 Low frequency: 89High frequency: 278
Crack propagation 83 to 308 Low frequency: 108High frequency: 286
Fracture 69 to 327 High frequency: 252
Tab.5  
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