Smart material surfaces/interfaces are playing important role in making hybrid nano particulate coated sensors and smart composite structures for applications in space, defense, infrastructure and biological system. The reliability and performance of these coatings on the smart surface depends upon the stability and life of their nano/micro-structures and interface properties. Atomic Force Microscopy is used extensively to study friction, wear and surface forces. In this paper a tool has been developed to have an insight of signals associated with friction and tribo-acoustics. This research aims to develop a combination of tools using High Speed Data Capture tools used in conjunction with the AFM to collect the frictional signal at the frequency of 500 kHz for 500 ms and phase fluctuation processor for study of friction signal. Friction signal from the AFM has poor information on the interfacial material properties like the stick-slip, plastic deformation of the contact surface. Clearer, information can be attained using the phase fluctuation based processor. This method provides friction signal and generation of the tribo-acoustics due to surface plastic deformation with excellent signal to noise ratio.
Skip Nav Destination
ASME/STLE 2007 International Joint Tribology Conference
October 22–24, 2007
San Diego, California, USA
Conference Sponsors:
- Tribology Division
ISBN:
0-7918-4810-8
PROCEEDINGS PAPER
Tribo-Diagnostics of Nanoparticle Coated Smart Surface Using Phase Fluctuation Based Processor Available to Purchase
Deepak H. Veeregowda,
Deepak H. Veeregowda
University of Mississippi, University, MS
Search for other works by this author on:
Jagdish P. Sharma,
Jagdish P. Sharma
University of Mississippi, University, MS
Search for other works by this author on:
Ronald A. Wagstaff,
Ronald A. Wagstaff
University of Mississippi, University, MS
Search for other works by this author on:
Qian J. Wang
Qian J. Wang
Northwestern University, Evanston, IL
Search for other works by this author on:
Deepak H. Veeregowda
University of Mississippi, University, MS
Jagdish P. Sharma
University of Mississippi, University, MS
Ronald A. Wagstaff
University of Mississippi, University, MS
Qian J. Wang
Northwestern University, Evanston, IL
Paper No:
IJTC2007-44390, pp. 877-879; 3 pages
Published Online:
March 23, 2009
Citation
Veeregowda, DH, Sharma, JP, Wagstaff, RA, & Wang, QJ. "Tribo-Diagnostics of Nanoparticle Coated Smart Surface Using Phase Fluctuation Based Processor." Proceedings of the ASME/STLE 2007 International Joint Tribology Conference. ASME/STLE 2007 International Joint Tribology Conference, Parts A and B. San Diego, California, USA. October 22–24, 2007. pp. 877-879. ASME. https://doi.org/10.1115/IJTC2007-44390
Download citation file:
5
Views
Related Articles
Tribochemical Interactions of Friction Modifier and Antiwear Additives With CrN Coating Under Boundary Lubrication Conditions
J. Tribol (October,2008)
Effects of Particle-Induced Crystallization on Tribological Behavior of Polymer Nanocomposites
J. Tribol (April,2011)
Tribological Properties of Electrodeposited Ni–Co 3 O 4 Nanocomposite Coating on Steel Substrate
J. Tribol (November,2017)
Related Chapters
Surface Analysis and Tools
Tribology of Mechanical Systems: A Guide to Present and Future Technologies
An Approach to the Tool Wear Model Construction Using Acoustic Signals of Cutting Process
Intelligent Engineering Systems Through Artificial Neural Networks, Volume 17
On the Evaluation of Thermal and Mechanical Factors in Low-Speed Sliding
Tribology of Mechanical Systems: A Guide to Present and Future Technologies