205
Views
4
CrossRef citations to date
0
Altmetric
Original Articles

Failure Progression of Spur Gears during a Simulated Loss-of-Lubrication Event in a Rotorcraft Drive System

&
Pages 718-725 | Received 24 Jan 2019, Accepted 27 Feb 2020, Published online: 14 Apr 2020
 

Abstract

Tests were conducted to identify and understand the failure mechanisms that control a gear’s longevity during a loss of lubrication (LoL) event by tracking the physical and tribological changes experienced by the gear teeth from operating without oil. A total of five tests were performed using 28-tooth, eight-pitch spur gears made from AMS 6308 on a single-mesh test rig. A new set of gears was used for each test, which consisted of run-in, failure, and matching the time of three of the inflection points present in the material’s failure progression curve. The tests were performed without lubrication at 10 krpm while supporting a torsional load of 58.8 N-m. Posttest analysis included optical microscopy of the tooth surfaces and measurements of the tooth involute profile using a stylus profilometer. Results showed that any face width crowning was lost almost immediately but the involute profile remained mostly intact until the period of thermal runaway. The results also suggest that the mesh friction coefficient, material case hot hardness, and thermal expansion play a significant role in the gear’s survivability, with eventual failure linked to the elimination of the available backlash.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 174.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.