SYNTHESIS OF STRENGTH DISTRIBUTIONS AS A FUNCTION OF WEAR. APPENDIX III. WEAR LITERATURE SURVEY.

Abstract

The results of a detailed study of wear for carbon brushes, sliding bearings, friction clutches, gears, and rolling element bearings are described. The findings of a search and appraisal of the literature for each of these components are presented. A mathematical model is proposed for carbon brush wear, but found only to account for part of the observed variation in the given data. Further data analyses evaluate the effect of a large number of variables, measure and break down variability into individual components, consider the change in wear with exposure time and possible distribution models. The linear wear relation is applied to sliding bearings and friction clutches. Mean values of the constant of proportionality in Archard's Law termed the wear coefficient, are tabulated for over 800 material-lubricant combinations. Where multiple observations are available, the estimated standard deviation is also given. The wear of gears has been formulated in terms of Tartakovskii's model, and the unknown coefficients evaluated for two conditions. Wear of the case, races, and rolling elements of rolling element bearing was not considered due to the lack of experimental data. Methods for the prediction of fatigue failure or rolling element are cited but not repeated due to their availability in the open literature. Appendix III to this report is bound separately under Research and Development Center No. S-67-1123 dated 25 July 1967 and consists of the results of a critical wear literature survey. (Author)

Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1967
Accession Number
AD0825130

Entities

People

  • R. E. Lee Jr.
  • W. E. Campbell

Organizations

  • General Electric

Tags

DTIC Thesaurus Topics

  • Bearings
  • Carbon Brushes
  • Coefficients
  • Data Analysis
  • Data Science
  • Experimental Data
  • Friction
  • Literature
  • Literature Surveys
  • Lubricants
  • Mathematical Models
  • Models
  • Surveys

Readers

  • Business Analytics
  • Regression Analysis.
  • Tribology (the study of the boundary interaction between sliding surfaces, lubrication, wear and friction).