A stationary cast-iron button sliding against a rotating cast-iron disk generated a time-varying friction signal. The signal was recorded using digital computer data-acquisition techniques. Sixty runs were taken, using different values for various parameters (such as load, velocity, and temperature). The data were analyzed on a digital computer by two different techniques. The first was a time-series analysis: the Fourier transform of each run was taken and the power spectral density of the runs was studied. The second technique was a standard statistical analysis using the Kolmogorov-Smirnov goodness-of-fit test. From the two analyses, some interesting conclusions were made: (1) the friction behaves like a random process; (2) friction may be treated as a constant signal with superimposed white noise; (3) the instantaneous coefficient of friction is normally distributed; (4) friction is influenced by load and velocity; and (5) the mean value and standard deviation are functionally related.

  • Corporate Authors:

    American Society of Mechanical Engineers

    Two Park Avenue
    New York, NY  United States  10016-5990
  • Authors:
    • Kilburn, R F
  • Publication Date: 1973-8

Media Info

  • Features: Figures; References;
  • Pagination: 9 p.

Subject/Index Terms

Filing Info

  • Accession Number: 00054341
  • Record Type: Publication
  • Source Agency: American Society of Mechanical Engineers
  • Report/Paper Numbers: 73-LUB-3
  • Files: TRIS
  • Created Date: Jun 10 1974 12:00AM