Development of a New Method to Investigate the Dynamic Friction Behavior of Interfaces Using a Kolsky Tension Bar
Abstract
In order to understand interfacial interaction of a bi-material during an impact loading event, the dynamic friction coefficient is one of the key parameters that must be characterized and quantified. In this study, a new experimental method to determine the dynamic friction coefficient between two metals was developed by using a Kolsky tension bar and a custom-designed friction fixture. Polyvinylidene fluoride (PVDF) force sensors were used to measure the normal force applied to the friction tribo pairs and the friction force was measured with conventional Kolsky tension bar method. To evaluate the technique, the dynamic friction coefficient between 4340 steel and 7075-T6 aluminum was investigated at an impact speed of approximately 8 m/s. Additionally, the dynamic friction coefficient of the tribo pairs with varied surface roughness was also investigated. The data suggest that higher surface roughness leads to higher friction coefficients at the same speed of 8 m/s.
- Authors:
-
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Publication Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE National Nuclear Security Administration (NNSA)
- OSTI Identifier:
- 1411602
- Report Number(s):
- SAND-2017-3895J
Journal ID: ISSN 0014-4851; PII: 350; TRN: US1800242
- Grant/Contract Number:
- AC04-94AL85000; NA0003525
- Resource Type:
- Journal Article: Accepted Manuscript
- Journal Name:
- Experimental Mechanics
- Additional Journal Information:
- Journal Volume: 58; Journal Issue: 2; Journal ID: ISSN 0014-4851
- Publisher:
- Springer
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; 36 MATERIALS SCIENCE; kolsky bar; SHPB; friction coefficient; tension; sliding velocity
Citation Formats
Sanborn, B., Song, B., and Nishida, E. Development of a New Method to Investigate the Dynamic Friction Behavior of Interfaces Using a Kolsky Tension Bar. United States: N. p., 2017.
Web. doi:10.1007/s11340-017-0350-7.
Sanborn, B., Song, B., & Nishida, E. Development of a New Method to Investigate the Dynamic Friction Behavior of Interfaces Using a Kolsky Tension Bar. United States. https://doi.org/10.1007/s11340-017-0350-7
Sanborn, B., Song, B., and Nishida, E. 2017.
"Development of a New Method to Investigate the Dynamic Friction Behavior of Interfaces Using a Kolsky Tension Bar". United States. https://doi.org/10.1007/s11340-017-0350-7. https://www.osti.gov/servlets/purl/1411602.
@article{osti_1411602,
title = {Development of a New Method to Investigate the Dynamic Friction Behavior of Interfaces Using a Kolsky Tension Bar},
author = {Sanborn, B. and Song, B. and Nishida, E.},
abstractNote = {In order to understand interfacial interaction of a bi-material during an impact loading event, the dynamic friction coefficient is one of the key parameters that must be characterized and quantified. In this study, a new experimental method to determine the dynamic friction coefficient between two metals was developed by using a Kolsky tension bar and a custom-designed friction fixture. Polyvinylidene fluoride (PVDF) force sensors were used to measure the normal force applied to the friction tribo pairs and the friction force was measured with conventional Kolsky tension bar method. To evaluate the technique, the dynamic friction coefficient between 4340 steel and 7075-T6 aluminum was investigated at an impact speed of approximately 8 m/s. Additionally, the dynamic friction coefficient of the tribo pairs with varied surface roughness was also investigated. The data suggest that higher surface roughness leads to higher friction coefficients at the same speed of 8 m/s.},
doi = {10.1007/s11340-017-0350-7},
url = {https://www.osti.gov/biblio/1411602},
journal = {Experimental Mechanics},
issn = {0014-4851},
number = 2,
volume = 58,
place = {United States},
year = {Thu Nov 02 00:00:00 EDT 2017},
month = {Thu Nov 02 00:00:00 EDT 2017}
}
Web of Science
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