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Tribologists often rely on triboexperiments to investigate factors that affect a tribosystem. The inherent dynamic behavior of the respective tribometer setups and its effect on data interpretation remain often unknown. In this study, a comprehensive analysis of sensor data obtained from lubricated and dry triboexperiments is performed. Data are generated on a pin-on-disc test rig with a silicon nitride ball on a steel disc contact with a rotation frequency of ~3 Hz. High-speed acquisition of sensor data up to 5 kHz is performed to resolve changes in the data within individual cycles. The characteristic frequencies of the system and their temporal evolution are determined via time-frequency analysis, which reveals periodic patterns in the sensor data. Cycle-based data evaluation allows the detection of localized events and changes during an operation and considerably reduces the apparent measurement uncertainty, as compared with an unreduced dataset. The data analysis and visualization routines presented herein may serve as a prototype for further application to tribometer setups.


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Comprehensive review of tribometer dynamics—Cycle-based data analysis and visualization

Show Author's information Josef PROST( )Guido BOIDIThomas LEBERSORGERMarkus VARGAGeorg VORLAUFER
AC2T research GmbH, Wiener Neustadt 2700, Austria

Abstract

Tribologists often rely on triboexperiments to investigate factors that affect a tribosystem. The inherent dynamic behavior of the respective tribometer setups and its effect on data interpretation remain often unknown. In this study, a comprehensive analysis of sensor data obtained from lubricated and dry triboexperiments is performed. Data are generated on a pin-on-disc test rig with a silicon nitride ball on a steel disc contact with a rotation frequency of ~3 Hz. High-speed acquisition of sensor data up to 5 kHz is performed to resolve changes in the data within individual cycles. The characteristic frequencies of the system and their temporal evolution are determined via time-frequency analysis, which reveals periodic patterns in the sensor data. Cycle-based data evaluation allows the detection of localized events and changes during an operation and considerably reduces the apparent measurement uncertainty, as compared with an unreduced dataset. The data analysis and visualization routines presented herein may serve as a prototype for further application to tribometer setups.

Keywords: high-speed data acquisition, time-frequency analysis (TFA), cycle-resolved analysis, pin-on-disc tribometer

References(46)

[1]
Cabboi A, Woodhouse J. Validation of a constitutive law for friction-induced vibration under different wear conditions. Wear 396-397: 107-125 (2018)
[2]
Cabboi A, Woodhouse J. Identifying short-term variation of dynamic friction by means of its frequency response function. J Sound Vib 472: 115212 (2020)
[3]
Becker S, Popp U, Greiner C. A reciprocating optical in situ tribometer with high-speed data acquisition. Rev Sci Instrum 87(8): 085101 (2016)
[4]
US-ASTM. ASTM G99 Standard test method for wear testing with a pin-on-disk apparatus. ASTM, 2000.
[5]
ISO. ISO 7148-1:1999 Plain bearings—Testing of the tribological behaviour of bearing materials—Part 1: Testing of bearing metals. ISO, 2001.
[6]
ISO. ISO 7148-2:1999 Plain bearings—Testing of the tribological behaviour of bearing materials—Part 2: Testing of polymer-based bearing materials. ISO, 2001.
[7]
Ahmer S M H, Jan L S, Siddig M A, Abdullah S F. Experimental results of the tribology of aluminum measured with a pin-on-disk tribometer: Testing configuration and additive effects. Friction 4(2): 124-134 (2016)
[8]
Uflyand I E, Zhinzhilo V A, Burlakova V E. Metal- containing nanomaterials as lubricant additives: State-of-the-art and future development. Friction 7(2): 93-116 (2019)
[9]
Zhang X A, Zhao Y Z, Ma K, Wang Q. Friction behavior and wear protection ability of selected base lubricants. Friction 4(1): 72-83 (2016)
[10]
Riva G, Varriale F, Wahlström J. A finite element analysis (FEA) approach to simulate the coefficient of friction of a brake system starting from material friction characterization. Friction 9(1): 191-200 (2021)
[11]
Prajapati D K, Tiwari M. The correlation between friction coefficient and areal topography parameters for AISI 304 steel sliding against AISI 52100 steel. Friction 9(1): 41-60 (2021)
[12]
Blutmager A, Spahn T, Varga M, Friesenbichler W, Riedl H, Mayrhofer P H. Processing fiber-reinforced polymers: Specific wear phenomena caused by filler materials. Polym Eng Sci 60(1): 78-85 (2020)
[13]
Rodríguez Ripoll M, Scheichl B, Bianchi D, Jakab B, Franek F. Development of a mechanical model of doctor blade-press roll tribosystem with aim to optimise cleaning performance: Numerical predictions and first experimental verification. Tribol Mater Surf Interfaces 8(1): 41-47 (2014)
[14]
Aronov V, D'Souza A F, Kalpakjian S, Shareef I. Experimental investigation of the effect of system rigidity on wear and friction-induced vibrations. J Lubric Technol 105(2): 206-211 (1983).
[15]
Godfrey D. Friction oscillations with a pin-on-disc tribometer. Tribol Int 28(2): 119-126 (1995)
[16]
Hsiao E, Kim S H. Analyzing periodic signals in rotating pin-on-disc tribotest measurements using discrete Fourier transform algorithm. Tribol Lett 35(2): 141-147 (2009)
[17]
Balarini R, Diniz G A S, Profito F J, Souza R M. Comparison of unidirectional and reciprocating tribometers in tests with MoDTC-containing oils under boundary lubrication. Tribol Int 149: 105686 (2020)
[18]
Larsson R. Modelling the effect of surface roughness on lubrication in all regimes. Tribol Int 42(4): 512-516 (2009)
[19]
Jin L, Scheerer H, Andersohn G, Oechsner M, Hellmann D. Experimental study on the tribo-chemical smoothening process between self-mated silicon carbide in a water-lubricated surface-contact reciprocating test. Friction 7(2): 181-191 (2019)
[20]
Vengudusamy B, Grafl A, Novotny-Farkas F, Schöfmann W. Comparison of frictional properties of gear oils in boundary and mixed lubricated rolling-sliding and pure sliding contacts. Tribol Int 62: 100-109 (2013)
[21]
Blau P J. The significance and use of the friction coefficient. Tribol Int 34(9): 585-591 (2001)
[22]
Patzer G, Shah R, Schneider A, Iaccarino P. New approach to interpreting seizure tests on the translatory oscillation tribometer (SRV). Lubricants 7(11): 93 (2019)
[23]
Cohen L. Time-frequency distributions—A review. Proc IEEE 77(7): 941-981 (1989)
[24]
Sejdić E, Djurović I, Jiang J. Time-frequency feature representation using energy concentration: An overview of recent advances. Digit Signal Process 19(1): 153-183 (2009)
[25]
Yang Y, Peng Z K, Zhang W M, Meng G. Parameterised time-frequency analysis methods and their engineering applications: A review of recent advances. Mech Syst Signal Process 119: 182-221 (2019)
[26]
Jáuregui J C, Reséndiz J R, Thenozhi S, Szalay T, Jacsó Á, Takács M. Frequency and time-frequency analysis of cutting force and vibration signals for tool condition monitoring. IEEE Access 6: 6400-6410 (2018)
[27]
Sun J L, Wang R H, Duan H F. Multiple-fault detection in water pipelines using transient-based time-frequency analysis. J Hydroinform 18(6): 975-989 (2016)
[28]
Feng Z P, Liang M, Chu F L. Recent advances in time- frequency analysis methods for machinery fault diagnosis: A review with application examples. Mech Syst Signal Process 38(1): 165-205 (2013)
[29]
Eder S J, Bianchi D, Neacşu I A, Vorlaufer G. An experimental and signal analysis workflow for detecting cold-induced noise emissions (cold squealing) from porous journal bearings. Mech Syst Signal Process 115: 60-69 (2019)
[30]
Menon A K, Boutaghou Z E. Time-frequency analysis of tribological systems—Part I: Implementation and interpretation. Tribol Int 31(9): 501-510 (1998)
[31]
Menon A K, Boutaghou Z E. Time-frequency analysis of tribological systems—Part II: Tribology of head-disk interactions. Tribol Int 31(9): 511-518 (1998)
[32]
Song J, Liu T, Shi H Y, Yan S Z, Liao Z H, Liu Y H, Liu W Q, Peng Z X. Time-frequency analysis of the tribological behaviors of Ti6Al4V alloy under a dry sliding condition. J Alloys Compd 724: 752-762 (2017)
[33]
ISO. ISO 683-17:2014 Heat-treated steels, alloy steels and free-cutting steels—Part 17: Ball and roller bearing steels. ISO, 2014.
[34]
[35]
[36]
[37]
[38]
Shannon C E. Communication in the presence of noise. Proc IRE 37(1): 10-21 (1949)
[39]
[40]
Vio R, Wamsteker W. Joint time-frequency analysis: A tool for exploratory analysis and filtering of non-stationary time series. Astron Astrophys 388(3): 1124-1138 (2002)
[41]
Harris F J. On the use of windows for harmonic analysis with the discrete Fourier transform. Proc IEEE 66(1): 51-83 (1978)
[42]
Savitzky A, Golay M J E. Smoothing and differentiation of data by simplified least squares procedures. Anal Chem 36(8): 1627-1639 (1964)
[43]
Kalin M, Vižintin J, Novak S, Dražič G. Wear mechanisms in oil-lubricated and dry fretting of silicon nitride against bearing steel contacts. Wear 210(1-2): 27-38 (1997)
[44]
Hutchings I, Shipway P. Tribology: Friction and Wear of Engineering Materials. 2nd edn. Oxford (UK): John Wiley & Sons, 2017.
DOI
[45]
Wang L, Wood R J K, Harvey T J, Morris S, Powrie H E G, Care I. Wear performance of oil lubricated silicon nitride sliding against various bearing steels. Wear 255(1-6): 657-668 (2003)
[46]
Zhao B, Khader I, Raga R, Degenhardt U, Kailer A. Tribological behavior of three silicon nitride ceramics in dry sliding contact against Inconel 718 over a wide range of velocities. Wear 448-449: 203206 (2020)
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Publication history

Received: 18 December 2020
Revised: 09 April 2021
Accepted: 03 June 2021
Published: 18 September 2021
Issue date: May 2022

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© The author(s) 2021.

Acknowledgements

This work was funded by the Austrian COMET Program (Project InTribology, No. 872176) via the Austrian Research Promotion Agency (FFG) and the Provinces of Niederösterreich and Vorarlberg, and has been carried out within the Austrian Excellence Centre of Tribology (AC2T research GmbH).

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