Skip to main content
SpringerLink
Log in

Condition Monitoring Approach for Wear Recognition in Gear Pump

  • Technical Article---Peer-Reviewed
  • Published:
Journal of Failure Analysis and Prevention Aims and scope Submit manuscript

Abstract

This investigation aims to perform the experimentation on the external gear pump for wear particle analysis of gear pump parts. In the first part of the study, the different experimental parameters are set and gear pump was run on the test rig for fixed duration of time. When any machine component is having wear debris metal particles suspended in the circulating oil, then wear starts in the component also. These wear particles are the indicators of the component being wear. Gears, casing, and bush material can be considered for wear analysis since these are the main gear pump components that are most susceptible to wear. The source of the aluminium in the gear pump is casing while the main source of copper is the bushes, while in the second part of the study ferrous particles from gears or any other components in the system were entrapped by ferrography technique. Wear particle concentration with severity index was found out at the end.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

References

  1. Y.A. Khalid, S.M. Sapuan, Wear Analysis of Centrifugal Slurry Pump Impellers. Ind. Lubr. Tribol. 59(1), 18–28 (2007)

    Article  Google Scholar 

  2. N. Govindarajan, R. Gnanamoorthy, Ferrography – A Procedure for Measuring Wear Rate. Indian J. Eng. Mater. Sci. 15(5), 77–381 (2008)

    Google Scholar 

  3. Y.T. Yan, Z.L. Sun, T. Zhu, Wear Rate Predication for Steel Based on Regression Analysis. Adv. Mater. Res. 126–128, 965–969 (2010)

    Article  Google Scholar 

  4. J.A. Palkendo, J. Kovach, T.A. Betts, Determination of Wear Metals in Used Motor Oil by Flame Atomic Absorption Spectroscopy. J. Chem. Educ. 91(4), 579–582 (2014)

    Article  CAS  Google Scholar 

  5. M. Masjedi, Prediction of steady-state wear rate in spur gear, 13. (Elsevier, 2015)

    Google Scholar 

  6. S.Y. Akl, A.A. Abdel-Rehim, Condition Monitoring of a Gear-Box Using Wear Particle Analysis Technique. Adv. Mater. Res. 1125, 511–515 (2015)

    Article  Google Scholar 

  7. A. Dube, M.D. Jaybhaye, Wear Analysis of Gear Box Using Natural Castor Oil Blends Through Ferrography. J. Fail. Anal. Prev. 22, 286–291 (2022)

    Article  Google Scholar 

  8. P.V. Joseph, D. Saxena, D.K. Sharma, Study of Some Non-Edible Vegetable Oils of Indian Origin for Lubricant Application. J. Synth. Lubr. 24(4), 181–197 (2007)

    Article  CAS  Google Scholar 

  9. P.P. More, M.D. Jaybhaye, Wear Pattern and Debris Analysis in Gearbox System. J. Fail. Anal. Prev. 21, 1697–1703 (2021)

    Article  Google Scholar 

  10. F. Song, F. Bin, M. Junhong, X. Youbai, Prediction on Wear of a Spur Gearbox by On-line Wear Debris Concentration Monitoring. Wear. 336, 1–8 (2015)

    Google Scholar 

  11. L. Wedeven, R. Bourdoulous, Hydraulic Gear Pump Failure Analysis and Tribology Simulation, Hydraulic Failure Analysis: Fluids, Components, and System Effects, ASTM International, 105–118. (2001)

  12. N.K. Myshkin, L.V. Markova, M.S. Semenyuk, H. Kong, H.G. Han, E.S. Yoon, Wear Monitoring Based on the Analysis of Lubricant Contamination by Optical Ferroanalyzer, 14th International Conference on Wear of Materials, 255, 7–12, 1270–1275, (2003)

  13. O.E. Adedeji, Y. Wenchao, R. Sean Sanders, Analysis of Local Wear Variables for High-Precision Erosion Modelling in Complex Geometries. Wear. 426–427, 562–569 (2019)

    Article  CAS  Google Scholar 

  14. M. Woldman, E. Van Der Heide, T. Tinga, M.A. Masen, A Finite Element Approach to Modeling Abrasive Wear Modes. Tribol. Trans. 60, 230–239 (2015)

    Google Scholar 

  15. H. Shen, Z. Li, L. Qi, L. Qiao, Method for Gear Fatigue Life Prediction Considering the Internal Flow Field of the Gear Pump. Mech. Syst. Signal Process. 99, 921–929 (2018)

    Article  Google Scholar 

  16. E. Lisowski, J. Fabiś, Prediction of Potential Failures in Hydraulic Gear Pumps. Arch. Foundry Eng. 10, 73–76 (2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. College of Engineering, Pune, Maharashtra, India

    N. D. Dhote & M. P. Khond

Authors
  1. N. D. Dhote
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. M. P. Khond
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to N. D. Dhote.

Ethics declarations

Conflict of interest

Authors declare that there is no conflict of interest for the work presented in this paper.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Dhote, N.D., Khond, M.P. Condition Monitoring Approach for Wear Recognition in Gear Pump. J Fail. Anal. and Preven. 22, 1558–1565 (2022). https://doi.org/10.1007/s11668-022-01448-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11668-022-01448-z

Keywords

Search

Navigation