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Health condition monitoring with multiple physical signals in tensile test for double-material friction welding

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Abstract

The manifold physical signals including micro resistance, infrared thermal signal and acoustic emission signal in the tensile test for double-material friction welding normative samples were monitored and collected dynamically by TH2512 micro resistance measuring apparatus, flir infrared thermal camera and acoustic emission equipment which possesses 18 bit PCI-2 data acquisition board. Applied acoustic emission and thermal infrared NDT (non-destructive testing) means were used to verify the feasibility of using resistance method and to monitor dynamic damage of the samples. The research of the dynamic monitoring system was carried out with multi-information fusion including resistance, infrared and acoustic emission. The results show that the resistance signal, infrared signal and acoustic emission signal collected synchronously in the injury process of samples have a good mapping. Electrical, thermal and acoustic signals can more accurately capture initiation and development of micro-defects in the sample. Using dynamic micro-resistance method to monitor damage is possible. The method of multi-information fusion monitoring damage possesses higher reliability, which makes the establishing of health condition diagnosing and early warning platform with multiple physical information monitoring possible.

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References

  1. SEOK C S, KOO J M. Evaluation of material degradation of 1Cr-1Mo-0.25V steel by ball indentation and resistivity [J]. Journal of Materials Science, 2006, 41: 1081–1087.

    Article  Google Scholar 

  2. STARKE P, WALTHER F, EIFLER D. Fatigue assessment and fatigue life calculation of quenched and tempered SAE 4140 steel based on stress-strain hysteresis, temperature and electrical resistance measurements [J]. Fatigue and Fracture of Engineering Materials and Structures, 2007, 30(11): 1044–1051.

    Article  Google Scholar 

  3. STARKE P, EIFLER D. Fatigue assessment and fatigue life calculation of metals on the basis of mechanical hysteresis, temperature, and resistance data: Extended version of the plenary lecture at the international conference low cycle fatigue [J]. Materials Testing, 2009, 51(5): 261–268.

    Google Scholar 

  4. JIANG Shu-fang. Infrared thermal wave imaging for identifing different subsurface defects [D]. Beijing: The Capital Normal University, 2006: 8–8. (in Chinese)

    Google Scholar 

  5. ZHONG Qun-peng, ZHAO Zi-hua. Fracture [M]. Beijing: Higher Education Publishing Company, 2005: 176. (in Chinese)

    Google Scholar 

  6. SUN Bin-xiang, GUO Yi-mu. Prediction of high-cycle fatigue life based on resistance changes [J]. Journal of Mechanical Strength, 2002, 24(4): 81–85. (in Chinese)

    Google Scholar 

  7. SUN Bin-xiang, GUO Yi-mu. A high-cycle fatigue accumulation model based on electrical resistance for structural steels [J]. Fatigue and Fracture of Engineering Materials and Structures, 2007, 30(11): 1052–1062.

    Article  Google Scholar 

  8. YOSHINOBU S, KEIKO O, AKIRA T, MASAHITO U. Detectability of bearing failure of composite bolted joints by electric resistance change method [J]. Key Engineering Materials, 2006, 321: 957–962.

    Article  Google Scholar 

  9. TIAN Shi. Material physics characteristic [M]. Beijing: Beijing University of Aeronautics and Aerospace Press, 2004: 41. (in Chinese)

    Google Scholar 

  10. LIU Zhi-en. Material science [M]. Beijing: Northwestern Polytechnic University Press, 2006: 2. (in Chinese)

    Google Scholar 

  11. BHALLA K S, ZENHDER A T, HAN X. Thermomechanics of slow stable crack growth: Closing the loop between experiments and computational modeling [J]. Engineering Fracture Mechanics, 2003, 70: 2439–2458.

    Article  Google Scholar 

  12. GUDURU P R. An investigation of dynamic failure events in steels using full field high-speed infrared thermography and high-speed photography [D]. Los Angeles: California Institute of Technology, 2001.

    Google Scholar 

  13. RANC N, WAGNER D, PARIS P C. Study of thermal effects associated with crack propagation during very high-cycle fatigue tests [J]. Acta Materialia, 2008, 56(15): 4012–4021.

    Article  Google Scholar 

  14. CHARKALUK E, CONSTANTINESCU A. Estimation of the mesoscopic thermoplastic dissipation in high-cycle fatigue [J]. Comptes Rendus Mecanique, 2006, 334(6): 373–379.

    Article  MATH  Google Scholar 

  15. AMIRI M, KHONSAN M M. Rapid determination of fatigue failure based on temperature evolution: Fully reversed bending load [J]. International Journal of Fatigue, 2010, 32(2): 382–389.

    Article  Google Scholar 

  16. XIA Yong-fa, LI Hai-ling. Application of acoustice mission(AE) technique in crack monitor during fatigue test of pump rod [J]. Material and Metallurgy Academic Journal, 2007, 6(1): 60–61.

    Google Scholar 

  17. DRUMMOND G, WATSON J F, ACAMLEY P P. Acoustic emission from wire ropes during proof load and fatigue testing [J]. NDT & E International, 2007, 40(1): 94–101.

    Article  Google Scholar 

  18. SONG Wei-xi. Metallography [M]. Beijing: Metallurgy Industry University Publishing Company, 1980: 183. (in Chinese)

    Google Scholar 

  19. LIU Guo-guang, CHENG Qing-chan, ZHOU Li-hui, XUE Zhi-yun, XU Guo-zhen. Acoustic emission monitoring of tensile test of A3 steel plate specimen [J]. Shanghai Metals, 2003, 25(3): 33–37. (in Chinese)

    Google Scholar 

  20. ROBERTS T M, TALEBZADEH M. Acoustic emission monitoring of fatigue crack propagation [J]. Journal of Constructional Steel Research, 2003, 59: 695–712.

    Article  Google Scholar 

  21. GRONDEL S, DELEBARRE C, ASSAAD J. Fatigue crack monitoring of riveted aluminium strap joints by Lamb wave analysis and acoustic emission measurement techniques [J]. NDT & E International, 2002, 35(3): 137–146.

    Article  Google Scholar 

  22. ZHU Bo, WANG Cheng-guo, CAI Hua. Acoustic emission characteristic and relative research of material fracture toughness [J]. Physic Academic Journal, 2003, 52(8): 1960–1964. (in Chinese)

    Google Scholar 

  23. ENNACEUR C, LAKSIMI A, HERVE C. Monitoring crack growth in pressure vessel steels by the acoustic emission technique and the method of potential difference [J]. International Journal of Pressure Vessels and Piping, 2006, 83(3): 197–204.

    Article  Google Scholar 

  24. RAVISHANKAR S R, MURTHY C R L. Application of acoustic emission in drilling of composite laminates[J]. NDT & E International, 2000, 33: 429–435.

    Article  Google Scholar 

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Authors and Affiliations

  1. State Key Lab for Remanufacturing, Academy of Armored Forces Engineering, Beijing, 100072, China

    Yu-bo Zhang  (张玉波), Bin-shi Xu  (徐滨士), Hai-dou Wang  (王海斗), Da-xiang Yang  (杨大祥) & Li-na Zhu  (朱丽娜)

  2. School of Engineering and Technology, China University of Geosciences, Beijing, 100083, China

    Li-na Zhu  (朱丽娜)

Authors
  1. Yu-bo Zhang  (张玉波)
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  2. Bin-shi Xu  (徐滨士)
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  3. Hai-dou Wang  (王海斗)
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  4. Da-xiang Yang  (杨大祥)
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  5. Li-na Zhu  (朱丽娜)
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Corresponding author

Correspondence to Hai-dou Wang  (王海斗).

Additional information

Foundation item: Project(51125023) supported by Distinguished Young Scholars of Natural Science Foundation of China; Project(2011CB013405) supported by the National Basic Research Program of China; Project supported by China Equipment Maintenance Program; Project (3120001) supported by the Natural Science Foundation of Beijing, China

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Zhang, Yb., Xu, Bs., Wang, Hd. et al. Health condition monitoring with multiple physical signals in tensile test for double-material friction welding. J. Cent. South Univ. 19, 2705–2711 (2012). https://doi.org/10.1007/s11771-012-1330-9

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  • DOI: https://doi.org/10.1007/s11771-012-1330-9

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