Non-Linear Signal Analysis Applied to Surface Wear Condition Monitoring in Reciprocating Sliding Testing Machines

When the surfaces of two elastic bodies present relative motions under certain amount of contact pressure the mechanical system can be unstable. Experiments conducted on elastic bodies in contact shown that the dynamic system is self-excited by the non-linear behavior of the friction forces. The mai...

Full description

Saved in:
Bibliographic Details
Main Authors: Francisco Paulo Lépore Neto, José Daniel Biasoli de Mello, Marcelo Braga dos Santos
Format: Article
Language:English
Published: Wiley 2006-01-01
Series:Shock and Vibration
Online Access:http://dx.doi.org/10.1155/2006/938951
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832551978539941888
author Francisco Paulo Lépore Neto
José Daniel Biasoli de Mello
Marcelo Braga dos Santos
author_facet Francisco Paulo Lépore Neto
José Daniel Biasoli de Mello
Marcelo Braga dos Santos
author_sort Francisco Paulo Lépore Neto
collection DOAJ
description When the surfaces of two elastic bodies present relative motions under certain amount of contact pressure the mechanical system can be unstable. Experiments conducted on elastic bodies in contact shown that the dynamic system is self-excited by the non-linear behavior of the friction forces. The main objective of this paper is to estimate the friction force using the vibrations signals, measured on a reciprocating wear testing machine, by the proposed non-linear signal analysis formulation. In the proposed formulation the system global output is the sum of two outputs produced by a linear path associated in parallel with a non-linear path. This last path is a non-linear model that represents the friction force. Since the linear path can be identified by traditional signal analysis, the non-linear function can be evaluated by the global input/output relationships. Validation tests are conducted in a tribological system composed by a sphere in contact with and a prismatic body, which has an imposed harmonic motion. The global output force is simultaneously measured by a piezoelectric and by a piezoresistive load cells. The sphere and prismatic body vibrations are measured by a laser Doppler vibrometer and by an accelerometer respectively. All signals are digitalized at the same time base and the data is transferred to a microcomputer. The non-linear signal analysis technique uses this data to identify the friction force.
format Article
id doaj-art-cdd6cda0b80d44e2ae48cd27b1a98df2
institution Kabale University
issn 1070-9622
1875-9203
language English
publishDate 2006-01-01
publisher Wiley
record_format Article
series Shock and Vibration
spelling doaj-art-cdd6cda0b80d44e2ae48cd27b1a98df22025-02-03T05:59:56ZengWileyShock and Vibration1070-96221875-92032006-01-01134-532734110.1155/2006/938951Non-Linear Signal Analysis Applied to Surface Wear Condition Monitoring in Reciprocating Sliding Testing MachinesFrancisco Paulo Lépore Neto0José Daniel Biasoli de Mello1Marcelo Braga dos Santos2Mechanical System Laboratory, School of Mechanical Engineering, Federal University of Uberlandia, Av Joao Naves de Avila 2121, Campus Santa Monica, Bloco 1M, Uberlandia, MG, 38400-902, BrazilTribology and Materials Laboratory, School of Mechanical Engineering, Federal University of Uberlandia, Av Joao Naves de Avila 2121, Campus Santa Monica, Bloco 1M, Uberlandia, MG, 38400-902, BrazilMechanical System Laboratory, School of Mechanical Engineering, Federal University of Uberlandia, Av Joao Naves de Avila 2121, Campus Santa Monica, Bloco 1M, Uberlandia, MG, 38400-902, BrazilWhen the surfaces of two elastic bodies present relative motions under certain amount of contact pressure the mechanical system can be unstable. Experiments conducted on elastic bodies in contact shown that the dynamic system is self-excited by the non-linear behavior of the friction forces. The main objective of this paper is to estimate the friction force using the vibrations signals, measured on a reciprocating wear testing machine, by the proposed non-linear signal analysis formulation. In the proposed formulation the system global output is the sum of two outputs produced by a linear path associated in parallel with a non-linear path. This last path is a non-linear model that represents the friction force. Since the linear path can be identified by traditional signal analysis, the non-linear function can be evaluated by the global input/output relationships. Validation tests are conducted in a tribological system composed by a sphere in contact with and a prismatic body, which has an imposed harmonic motion. The global output force is simultaneously measured by a piezoelectric and by a piezoresistive load cells. The sphere and prismatic body vibrations are measured by a laser Doppler vibrometer and by an accelerometer respectively. All signals are digitalized at the same time base and the data is transferred to a microcomputer. The non-linear signal analysis technique uses this data to identify the friction force.http://dx.doi.org/10.1155/2006/938951
spellingShingle Francisco Paulo Lépore Neto
José Daniel Biasoli de Mello
Marcelo Braga dos Santos
Non-Linear Signal Analysis Applied to Surface Wear Condition Monitoring in Reciprocating Sliding Testing Machines
Shock and Vibration
title Non-Linear Signal Analysis Applied to Surface Wear Condition Monitoring in Reciprocating Sliding Testing Machines
title_full Non-Linear Signal Analysis Applied to Surface Wear Condition Monitoring in Reciprocating Sliding Testing Machines
title_fullStr Non-Linear Signal Analysis Applied to Surface Wear Condition Monitoring in Reciprocating Sliding Testing Machines
title_full_unstemmed Non-Linear Signal Analysis Applied to Surface Wear Condition Monitoring in Reciprocating Sliding Testing Machines
title_short Non-Linear Signal Analysis Applied to Surface Wear Condition Monitoring in Reciprocating Sliding Testing Machines
title_sort non linear signal analysis applied to surface wear condition monitoring in reciprocating sliding testing machines
url http://dx.doi.org/10.1155/2006/938951
work_keys_str_mv AT franciscopauloleporeneto nonlinearsignalanalysisappliedtosurfacewearconditionmonitoringinreciprocatingslidingtestingmachines
AT josedanielbiasolidemello nonlinearsignalanalysisappliedtosurfacewearconditionmonitoringinreciprocatingslidingtestingmachines
AT marcelobragadossantos nonlinearsignalanalysisappliedtosurfacewearconditionmonitoringinreciprocatingslidingtestingmachines