Manufacturing Technology 2022, 22(6):747-753 | DOI: 10.21062/mft.2022.087

Evaluation of the Strengthening Effect of Different Surface Treatment Techniques in Steel Crankshaft Manufacturing Industry

Songsong Sun ORCID..., Xiaolin Gong ORCID...
College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing, 210037, China

At present, electromagnetic induction quenching and nitriding are two commonly used surface strengthening approaches applied in improving the strength of the steel parts. In this paper, a comparative study was proposed to research the strengthening effect of these two technologies in improving the fatigue strength of steel crankshaft. First a modified statistical analysis approach of the fatigue limit load was proposed to obtain the distribution of the fatigue limit load. Then two types of steel crankshafts were selected to be the object of research and treated by these two techniques. Finally the standard T and F hypothesis testing methods were conducted in evaluation the strengthening effect. The results showed that compared with the nitriding approach, the electromagnetic induction approach can improve the fatigue strength of the steel crankshaft more obviously, thus is more suitable for engineering applications.

Keywords: Crankshaft, Nitriding, Electromagnetic induction, Bending fatigue

Received: September 7, 2022; Revised: December 23, 2022; Accepted: December 23, 2022; Prepublished online: December 23, 2022; Published: January 6, 2023  Show citation

ACS AIP APA ASA Harvard Chicago IEEE ISO690 MLA NLM Turabian Vancouver
Sun S, Gong X. Evaluation of the Strengthening Effect of Different Surface Treatment Techniques in Steel Crankshaft Manufacturing Industry. Manufacturing Technology. 2022;22(6):747-753. doi: 10.21062/mft.2022.087.
Download citation

References

  1. HAMMOUDA, M. M. I., SALLAM, H. E. M., & OSMAN, H. G. (2004). Significance of crack tip plasticity to early notch fatigue crack growth. International Journal of Fatigue, 26(2): 173-182.https://doi.org/10.1016/S0142-1123(03)00094-X Go to original source...
  2. HAMMOUDA, M. M. I., OSMAN, H. G., & SALLAM, H. E. M. (2004). Mode I notch fatigue crack growth behaviour under constant amplitude loading and due to the application of a single tensile overload. International Journal of Fatigue, 26(2): 183-192.https://doi.org/10.1016/S0142-1123(03)00093-8 Go to original source...
  3. GOMES, J., GAIVOTA, N., MARTINS, R. F., & SILVA, P. P. (2018). Failure analysis of crankshafts used in maritime V12 diesel engines. Engineering Failure Analysis, 92: 466-479. https://doi.org/10.1016/j.engfailanal.2018.06.020 Go to original source...
  4. XU, X. L., & YU, Z. W. (2018). Failure analysis of a truck diesel engine crankshaft. Engineering Failure Analysis, 92: 84-94.https://doi.org/10.1016/j.engfailanal.2018.05.007 Go to original source...
  5. KHAMENEH, M. J., & AZADI, M.(2018). Evaluation of high-cycle bending fatigue and fracture behaviors in EN-GJS700-2 ductile cast iron of crankshafts. Engineering Failure Analysis, 85: 189-200.https://doi.org/10.1016/j.engfailanal.2017.12.017 Go to original source...
  6. LEITNER, M., TUNCALI, Z., STEINER, R., & GRÜN, F. (2017). Multiaxial fatigue strength assessment of electroslag remelted 50CrMo4 steel crankshafts. International Journal of Fatigue, 100(Part 1): 159-175.https://doi.org/10.1016/j.ijfatigue.2017.03.023 Go to original source...
  7. JIAO, A., LIU, B., CHEN, X., ZOU, X., & WANG, F. (2020). Fracture failure analysis of KL crankshaft. Engineering Failure Analysis, 112: 104498.https://doi.org/10.1016/j.engfailanal.2020.104498 Go to original source...
  8. SUN, S. S., YU, X. L., & CHEN, X. P. (2016). Study of component structural equivalent fatigue based on a combined stress gradient approach and the theory of critical distance. Engineering Failure Analysis, 60: 199-208.https://doi.org/10.1016/j.engfailanal.2015.11.053 Go to original source...
  9. SUN, S. S., YU, X. L., CHEN, X. P., & LIU, Z. T. (2016).Component structural equivalent research based on different failure strength criterions and the theory of critical distance. Engineering Failure Analysis, 70: 31-43.https://doi.org/10.1016/j.engfailanal.2016.07.005 Go to original source...
  10. SUN, S., YU, X., LIU, Z., & CHEN, X.(2016). Component HCF research based on the theory of critical distance and a relative stress gradient modification. PLoS ONE, 11(12): e0167722.https://doi.org/10.1371/journal.pone.0167722 Go to original source...
  11. HÖMBERG, D., LIU, Q., MONTALVO-URQUIZO, J., NADOLSKI, D., PETZOLD, T., SCHMIDT, A., & SCHULZ, A. (2016). Simulation of multi-frequency-induction-hardening including phase transitions and mechanical effects. Finite Elements in Analysis and Design, 121: 86-100.https://doi.org/10.1016/j.finel.2016.07.012 Go to original source...
  12. PROCHAZKA, J., POKORNY, Z., & DOBROCKY, D.(2020). Service Behavior of Nitride Layers of Steels for Military Applications. Coatings, 10(10): 975.https://doi.org/10.3390/coatings10100975 Go to original source...
  13. SUN, S.S., WAN, M.S., WANG, H., ZHANG, Y., XU, X.M.(2019). Study of component high cycle bending fatigue based on a new critical distance approach. Engineering Failure Analysis, 102: 395-406.https://doi.org/10.1016/j.engfailanal.2019.04.050 Go to original source...
  14. SUN S.S. (2020). A new stress field intensity model and its application in component high cycle fatigue research. PLoS One, 15(7): e0235323.https://doi.org/10.1371/journal.pone.0235323 Go to original source...
  15. YANG, L.S. (1980).Internal combustion engine design. China Agricultural Machinery Press.
  16. HAN, P, WANG, X. (2021). The Mechanical Performance evaluation of Vertical Stability Coil under Electromagnetic-structure Coupling Analyses. Manufacturing Technology, 21(1):65-70. Doi: 10.21062/mft.2021.016 Go to original source...
  17. ZHOU, X., YU, X.L.(2007).Failure criterion in resonant bending fatigue test for crankshafts. Chinese Internal Combustion Engine Engineering, 28(5): 45-47.
  18. ZHOU, X., YU, X.L.(2007).Error analysis and load calibration technique investigation of resonant loading fatigue test for crankshaft. Transactions of the Chinese Society for Agricultural Machinery,38(4): 35-38.
  19. SALINAS, D. G.(2022). Average and Standard Deviation of the Error Functionfor Random Genetic Codes with Standard Stop Codons. Acta Biotheoretica, 70: 7.https://doi.org/10.1007/s10441-021-09427-x Go to original source...
  20. PING, C. X., LI, Y. X., FU, H. R., & FENG, L. J.(2012). Analysis of Nitridation Time Impact on Crankshaft Fatigue Strength. Advanced Science Letters, 5(2): 856-859.https://doi.org/10.1166/asl.2012.1794 Go to original source...
  21. CHEN, Y.T., TANG, J.H., SUN, S.S.(2021). Research on Statistical Analysis Method for Failure Data ofCrankshaft's Bend Experiment Based on Improved SAFL. Agricultural Equipment & Vehicle Engineering, 59(12): 143-145.
  22. TANG, J.H., SUN, S.S., CHEN, Y.T.(2021). Research on Improvement of Statistical Method for Fatigue Test Data of Crankshafts. Agricultural Equipment & Vehicle Engineering, 59(10): 60-62.
  23. ¯URAWSKI P. (2022). Analysis of the Welding Process of Steel Pistons of Internal Combustion Engines. Manufacturing Technology, 22(4):494-509. Doi: 10.21062/mft.2022.048 Go to original source...
  24. DOBROCKÝ D, JOSKA Z, PROCHÁZKA J, SVOBODA E, DOSTÁL P. (2021). Evaluation of Structural and Mechanical Properties of the Nitrided Layer on Steel for Weapons. Manufacturing Technology, 21(2):184-192. Doi: 10.21062/mft.2021.031 Go to original source...

This is an open access article distributed under the terms of the Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0), which permits non-comercial use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.