Measurement of Friction in Dynamic Systems

Abstract

The goal of this project concerned the development of an experimental method to accurately infer and identify friction force in a dynamic system. During this one-year project, it was proposed to develop a method to measure friction and identify its damping and tangential stiffness components. From the measurements between surfaces of selected materials, tangential stiffness, friction damping properties, and coefficient of friction values were inferred. These results favorably compared with computational results obtained using available theories. The regime of relative motion used in the tests was primarily in the microslip region, which closely replicates bolted joints in large space structures as well as contact dampers between gas turbine blades. A comparison of measurement results for tangential stiffness with those obtained using Cattaneo-Mindlin theory is shown in Fig 4 for two cases. The theoretical results agree well with those obtained from measurements for fresh surfaces, suggesting that the theories need further development for worn surfaces. This is a unique measurement device that allows repeatable and accurate measurements of relative motion and forces from which coefficient of friction, tangential stiffness, and friction damping properties can be inferred. Measurements are largely devoid of ancillary dynamic effects common in measurement systems.

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Document Details

Document Type
Technical Report
Publication Date
Sep 15, 2003
Accession Number
ADA418183

Entities

People

  • Adnan Akay
  • Jerry Griffin

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Bolted Joints
  • Coefficients
  • Engineering
  • Engineers
  • Friction
  • Gas Turbine Blades
  • Gas Turbines
  • Large Space Structures
  • Materials
  • Mechanical Engineering
  • Mechanics
  • Relative Motion
  • Resonant Frequency
  • Rotor Blades (Turbomachinery)
  • Stiffness
  • Turbine Blades
  • Turbines

Readers

  • Control Systems Engineering.
  • Mathematics or Statistics
  • Tribology (the study of the boundary interaction between sliding surfaces, lubrication, wear and friction).

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Space