Prediction on wear of a spur gearbox by on-line wear debris concentration monitoring

Research output: Contribution to journalArticlepeer-review

79 Scopus citations

Abstract

The aim of this work is to develop a method for quantifying and predicting gear wear based on on-line wear monitoring. A model of wear debris concentration has been built based on Kragelsky's method with different wear coefficients in corresponding wear stages. A gear test rig with oil-bath lubrication for accelerated wear test was built, and a full-life wear monitoring test was performed by employing an on-line visual ferrograph (OLVF). An index of particle coverage area (IPCA) characterizing wear debris concentration and an OLVF ferrogram were obtained by sampling in-use oil every 2. min. The experiment results indicate that the IPCA curve is consistent with the proposed model, and the early-warning signs of abnormalities can also be observed. Additionally, depositing experiments show that appropriate depositing time (usually not less than 30. s) is crucial for a valid OLVF sampling. Therefore, it is feasible to predict gear wear by on-line wear debris concentration monitoring.

Original languageEnglish
Pages (from-to)1-8
Number of pages8
JournalWear
Volume336-337
DOIs
StatePublished - 5 Aug 2015

Keywords

  • Ferrography
  • Gear
  • Wear debris analysis
  • Wear monitoring

Fingerprint

Dive into the research topics of 'Prediction on wear of a spur gearbox by on-line wear debris concentration monitoring'. Together they form a unique fingerprint.

Cite this