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Rotary Bending Fatigue Characteristics According to Optimal Friction Welding of SF45 to SM45C Steel Bars

SF45와 SM45C의 마찰용접 최적화에 따른 회전굽힘피로 특성

  • Received : 2016.06.20
  • Accepted : 2016.11.22
  • Published : 2017.03.01

Abstract

A study on dissimilar friction-welded joints was performed for cam shaft applications using solid bar samples, 20mm in diameter, of forging steel(SF45) and carbon steel(SM45C). The main parameters of friction welding such as tensile tests, Vickers hardness surveys of the bond of area, the heat affected zone (HAZ), and the observation of microstructure were investigated to ensure a good quality of friction welding through visual observations. The specimens were tested as-welded and post weld heat treatment(PWHT). This paper deals with optimizing the welding conditions and analyzing various rotary bending fatigue test(RBFT) properties about heat-treated base metal(BM), as-welded and PWHT. Consequently, two materials for friction welding are strongly mixed with a well-combined structure of micro-particles without any molten material, particle growth, or any defect. Moreover, the fatigue limit of BM(SF45) and PWHT for the RBFT were observed as 180MPa and 250MPa, respectively. It was confirmed that the PWHT causes approximately 40% improvement in the fatigue limit when compared to the BM(SF45).

본 연구는 수송기계 축 등에 이용되는 캠 형상 부분만을 기존의 단조품인 SF45와 축 부분은 일반기계구조용 탄소강재인 SM45C를 직경 20 mm를 이용하여 이종 마찰용접을 수행하였다. 최적조건을 규명하기 위해 인장시험 등 용접품질과의 상관관계를 고찰하였고, 또한 최적조건에서 마찰용접 후 열처리를 시행하여 용접재(As-welded)와 후열처리재(PWHT)에 대한 회전굽힘 피로시험을 시행하였다. 결과적으로 두 이종재가 강한 혼합으로 계면에서도 개재물 및 산화막이 플래시로 토출되어 양호한 접합상태임을 확인하였다. 더욱이 모재(SF45)와 후열처리재의 피로한도 각각 180 MPa, 250 MPa로 나타났다. 이는 후열처리재가 SF45 모재에 비해 약 40 %의 피로수명이 향상되었음을 확인하였다.

Keywords

References

  1. Cho, H. S. and Suh, S. J., 1997, "Friction Welding of Inconel 713C and SCM440," Journal of KWS, Vol. 15, No. 6, pp. 78-84.
  2. Oh, S. K., Kim, B. A., Kim, S. J. and Nam, S. H., 1988, "A Study on Friction Welding of SM45C to SCM4 Steel Bars and the Fatigue Properties," Journal of KSOE, Vol. 2, No. 2, pp. 312-321.
  3. Kong, Y. S., Yoon, S. P. and Kim, S. J., 2010, "Mechanical Properties of Friction Welded SM45CSF45 Joints for Automobile Reverse Idle Gear Shaft Applications," Journal of KSME-A, Vol. 34, No. 1, pp. 85-90.
  4. Kong, Y. S. and Kim, S. J., 2006, "Mechanical Properties of Dissimilar Friction Welded Steel Bars in Relation to Post Weld Heat Treatment," Trans. Korean Soc. Mech. Eng. A, Vol. 30, No. 4, pp. 402-408. https://doi.org/10.3795/KSME-A.2006.30.4.402
  5. Suh, M. S., Fean, Y. S. and Suh, C. M., 2012, "Variation of Fatigue Properties in Nanoskinned Ti-6Al-4V-Rotating Bending and Axial Loading Tension-Compression Cycle," Trans. Korean Soc. Mech. Eng. A, Vol. 36, No. 4, pp. 443-449. https://doi.org/10.3795/KSME-A.2012.36.4.443
  6. Oh, K. K., Kim, J. H. and Choi, H. S., 2015, "Effect of Nitriding on Fatigue Characteristics of Cr-Mo Alloy Steel," Trans. Korean Soc. Mech. Eng. A, Vol. 39, No. 6, pp. 597-602. https://doi.org/10.3795/KSME-A.2015.39.6.597
  7. ASTM, 1981, "Statistical Analysis of Fatigue Data," ASTM-STP, p. 744.
  8. Jung, H.S., Cho, J.R., Oh, J.S. Kim, E.N. Choi, S.G. and Ha, M.Y., 2010, "Inertia Friction Welding Process Analysis and Mechanical Properties Evaluation of Large Rotor Shaft in Marine Turbo Charger," International Journal of Precision Engineering and Manufacturing, Vol. 11 No. 1, pp. 83-88.
  9. Sohn, H. J. and Kim, S. J., 2012, "Marco and Microscopic Observations of Fatigue Crack Growth Behavior in API2WGr.50 Steel Joints," Journal of Ocean Engineering and Technology, Vol. 26, No. 5, pp. 73-80. https://doi.org/10.5574/KSOE.2012.26.5.073
  10. Castillo, E., Fermansez, Canteli, A. and Hadi, A. S., 1999, "On Fitting a Fatigue Model to Data," International Journal of Fatigue, No. 21, pp. 97-106.
  11. Hanaki, S., Yamashita M. and Uchida, H., 2010, "On Stochastic Evaluation of S-N Data Based on Fatigue Strength Distribution," International Journal of Fatigue, Vol. 32, No. 3, pp. 605-609. https://doi.org/10.1016/j.ijfatigue.2009.06.001
  12. Fouchereau, R., Celeus, G. and Pamphile, P., 2014, "Probabilistic Modeling of S-N Curves," International Journal of Fatigue, No. 68, pp. 217-223.
  13. Zhai., J. M. and Li, X. Y., 2012, "A Methodology to Determine a Conditional Probability Density Distribution Surface from S-N Data," International Journal of Fatigue, No. 44, pp. 107-115.