Journal Home > Volume 8 , Issue 3

A structured transdisciplinary method for the experimental determination of friction in the nanometric domain is proposed in this paper. The dependence of nanoscale friction on multiple process parameters on these scales, which comprise normal forces, sliding velocities, and temperature, was studied via the lateral force microscopy approach. The procedure used to characterize the stiffness of the probes used, and especially the influence of adhesion on the obtained results, is thoroughly described. The analyzed thin films were obtained by using either atomic layer or pulsed laser deposition. The developed methodology, based on elaborated design of experiments algorithms, was successfully implemented to concurrently characterize the dependence of nanoscale friction in the multidimensional space defined by the considered process parameters. This enables the establishment of a novel methodology that extends the current state-of-the-art of nanotribological studies, as it allows not only the gathering of experimental data, but also the ability to do so systematically and concurrently for several influencing variables at once. This, in turn, creates the basis for determining generalizing correlations of the value of nanoscale friction in any multidimensional experimental space. These developments create the preconditions to eventually extend the available macro- and mesoscale friction models to a true multiscale model that will considerably improve the design, modelling and production of MEMS devices, as well as all precision positioning systems aimed at micro- and nanometric accuracy and precision.


menu
Abstract
Full text
Outline
About this article

An experimental methodology for the concurrent characterization of multiple parameters influencing nanoscale friction

Show Author's information Marko PERČIĆ1,2Saša ZELENIKA1,2( )Igor MEZIĆ2,3Robert PETER2,4Nikša KRSTULOVIĆ5
University of Rijeka, Faculty of Engineering, Vukovarska 58, Rijeka 51000, Croatia
University of Rijeka, Centre for Micro- and Nanosciences and Technologies, Radmile Matejčić 2, Rijeka 51000, Croatia
Department of Mechanical Engineering, UC Santa Barbara, Santa Barbara, CA 93105, USA
University of Rijeka, Department of Physics, Radmile Matejčić 2, Rijeka 51000, Croatia
Institute of Physics, Bijenička 46, Zagreb 10000, Croatia

Abstract

A structured transdisciplinary method for the experimental determination of friction in the nanometric domain is proposed in this paper. The dependence of nanoscale friction on multiple process parameters on these scales, which comprise normal forces, sliding velocities, and temperature, was studied via the lateral force microscopy approach. The procedure used to characterize the stiffness of the probes used, and especially the influence of adhesion on the obtained results, is thoroughly described. The analyzed thin films were obtained by using either atomic layer or pulsed laser deposition. The developed methodology, based on elaborated design of experiments algorithms, was successfully implemented to concurrently characterize the dependence of nanoscale friction in the multidimensional space defined by the considered process parameters. This enables the establishment of a novel methodology that extends the current state-of-the-art of nanotribological studies, as it allows not only the gathering of experimental data, but also the ability to do so systematically and concurrently for several influencing variables at once. This, in turn, creates the basis for determining generalizing correlations of the value of nanoscale friction in any multidimensional experimental space. These developments create the preconditions to eventually extend the available macro- and mesoscale friction models to a true multiscale model that will considerably improve the design, modelling and production of MEMS devices, as well as all precision positioning systems aimed at micro- and nanometric accuracy and precision.

Keywords: contact mechanics, nanoscale friction, lateral force microscopy, experimental determination methodology, multivariate space

References(48)

[1]
B Bhushan. Springer Handbook of Nanotechnology. Berlin, Heidelberg (Germany): Springer-Verlag, 2010.
DOI
[2]
F Marques, P Flores, J C P Claro, H M Lankarani. A survey and comparison of several friction force models for dynamic analysis of multibody mechanical systems. Nonlinear Dyn 86(3): 1407-1443 (2016)
[3]
S Mekid. Precision design aspects for friction actuation with error compensation. J Mech Sci Technol 23(11): 2873-2884 (2009)
[4]
F Al-Bender, V Lampaert, J Swevers. Modeling of dry sliding friction dynamics: From heuristic models to physically motivated models and back. Chaos 14(2): 446-460 (2004)
[5]
E Kamenar, S Zelenika. Issues in validation of pre-sliding friction models for ultra-high precision positioning. Proc Inst Mech Eng Part C J Mech Eng Sci 233(3): 997-1006 (2019)
[6]
T Piatkowski. GMS friction model approximation. Mech Mach Theory 75: 1-11 (2014)
[7]
J Y Yoon, D L Trumper. Friction modeling, identification, and compensation based on friction hysteresis and Dahl resonance. Mechatronics 24(6): 734-741 (2014)
[8]
E Kamenar, S Zelenika. Nanometric positioning accuracy in the presence of presliding and sliding friction: Modelling, identification and compensation. Mech Based Des Struc Mach 45(1): 111-126 (2017)
[9]
Y F Liu, J Li, Z M Zhang, X H Hu, W J Zhang. Experimental comparison of five friction models on the same test-bed of the micro stick-slip motion system. Mech Sci 6(1): 15-28 (2015)
[10]
C M Mate. Tribology on the Small Scale: A Bottom Up Approach to Friction, Lubrication, and Wear. Oxford (UK): Oxford University Press, 2007.
DOI
[11]
K De Moerlooze, F Al-Bender. On the relationship between normal load and friction force in pre-sliding frictional contacts. Part 2: Experimental investigation. Wear 269(3-4): 183-189 (2010)
[12]
S Y Krylov, J W M Frenken. The crucial role of temperature in atomic scale friction. J Phys Condens Mat 20(35): 354003 (2008)
[13]
J X Yu, H L Hu, F Jia, W F Yuan, H B Zang, Y Cai, F Ji. Quantitative investigation on single-asperity friction and wear of phosphate laser glass against a spherical AFM diamond tip. Tribol Int 81: 43-52 (2015)
[14]
S Zelenika. Analytical and experimental characterization of ball-groove contact problems. In Proceedings of the 3rd DAAAM International Conference on Advanced Technologies for Developing Countries, Split, Croatia, 2004: 75-80.
[15]
N Manini, G Mistura, G Paolicelli, E Tosatti, A Vanossi. Current trends in the physics of nanoscale friction. Adv Phys 2(3): 569-590 (2017)
[16]
University of Rijeka, Croatia. Equipment of the centre for micro- and nanosciences and technologies. http://cmnzt.uniri.hr/wp-content/uploads/2018/04/Katalog-CMNZT_ENG.pdf, 2018.
[17]
University of Rijeka, Croatia. Centre for micro- and nanosciences and technologies. http://nanori.uniri.hr/, 2018.
[18]
K Simonovic, M Kalin. Methodology of a statistical and DOE approach to the prediction of performance in tribology—A DLC boundary-lubrication case study. Tribol Int 101: 10-24 (2016)
[19]
K Hinkelmann, O Kempthorne. Design and Analysis of ExperimentsVol. 1: Introduction to Experimental Design. 2nd ed. Hoboken (Belgium): John Wiley & Sons, 2008.
[20]
F M Alam, K R McNaught, T J Ringrose. A comparison of experimental designs in the development of a neural network simulation metamodel. Simul Model Pract Theory 12(7-8): 559-578 (2004)
[21]
Q Du, V Faber, M Gunzburger. Centroidal voronoi tessellations: Applications and algorithms. SIAM Rev 41(4): 637-676 (1999)
[22]
V Kecman. Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models. Cambridge (USA): MIT Press, 2001.
[23]
AIMdyn System Analytics, Engineering Consulting and Software Development. GoSUMD software. https://aimdyn.com/gosumd, 2018.
[24]
M Perčić, S Zelenika, I Mezic, R Peter, N Krstulović. Experimental approach to establishing a model of nanoscale friction. In Proceedings of the 18th EUSPEN International Conference, Cranfield, UK, 2018: 63-64.
[25]
L Yang, J H Hu, H P Xiao, W W Quan. Analysis of humidity- dependent adhesion between a probe tip and a surface. Particuology 33: 91-97 (2017)
[26]
D Meljanac, K Juraić, M Plodinec, Z Siketić, D Gracin, N Krstulović, K Salamon, H Skenderović, Z Kregar, I Š Rakić, et al. Influence of RF excitation during pulsed laser deposition in oxygen atmosphere on the structural properties and luminescence of nanocrystalline ZnO:Al thin films. J Vac Sci Technol A 34(2): 021514 (2016)
[27]
C D Wagner, W M Riggs, L E Davis, J F Moulder, G E Muilenberg. Handbook of X-Ray Photoelectron Spectroscopy. Eden Prairie (USA): Perkin-Elmer Corporation, 1979.
[28]
B P Payne, M C Biesinger, N S McIntyre. X-ray photoelectron spectroscopy studies of reactions on chromium metal and chromium oxide surfaces. J Electron Spectrosc Relat Phenomena 184(1-2): 29-37 (2011)
[29]
[30]
Bruker. AFM probes SNL-10. https://www.brukerafmprobes.com/p-3693-snl-10.aspx, 2018.
[31]
S Belikov, J Alexander, C Wall, I Yermolenko, S Magonov, I Malovichko. Thermal tune method for AFM oscillatory resonant imaging in air and liquid. In Proceedings of 2014 American Control Conference, Portland, OR, USA, 2014: 1009-1014.
DOI
[32]
M Perčić, S Zelenika, E Kamenar. Issues in validation of friction in the nanometric domain. In Proceedings of the 17th EUSPEN International Conference, Cranfield, UK, 2017: 105-106.
[33]
J E Sader. Parallel beam approximation for V-shaped atomic force microscope cantilevers. Rev Sci Instrum 66(9): 4583-4587 (1995)
[34]
X R Zhang, T S Fisher, A Raman, T D Sands. Linear coefficient of thermal expansion of porous anodic alumina thin films from atomic force microscopy. Nanosc Microsc Therm Eng 13(4): 243-252 (2009)
[35]
MIKROMASCH. Test structures - TGF11 series. https://www.spmtips.com/test-structures-TGF11-series.html, 2018.
[36]
M Varenberg, I Etsion, G Halperin. An improved wedge calibration method for lateral force in atomic force microscopy. Rev Sci Instrum 74(7): 3362-3367 (2003)
[37]
University of Trieste, Italy. Laboratorio MOSE. http://www.mose.units.it/default.aspx, 2018.
[38]
M D‘Acunto. Theoretical approach for the quantification of wear mechanisms on the nanoscale. Nanotechnology 15(7): 795-801 (2004)
[39]
J J Liu, J K Notbohm, R W Carpick, K T Turner. Method for characterizing nanoscale wear of atomic force microscope tips. ACS Nano 4(7): 3763-3772 (2010)
[40]
B Bhushan. Adhesion and stiction: Mechanisms, measurement techniques, and methods for reduction. J Vac Sci Technol B 21(6): 2262 (2003)
[41]
A Çolak, H Wormeester, H J W Zandvliet, B Poelsema. Surface adhesion and its dependence on surface roughness and humidity measured with a flat tip. Appl Surf Sci 258(18): 6938-6942 (2012)
[42]
Y I Rabinovich, J J Adler, A Ata, R K Singh, B M Moudgil. Adhesion between nanoscale rough surfaces: II. Measurement and comparison with theory. J Colloid Interface Sci 232(1): 17-24 (2000)
[43]
D Tranchida, S Piccarolo, R A C Deblieck. Some experimental issues of AFM tip blind estimation: The effect of noise and resolution. Meas Sci Technol 17(10): 2630-2636 (2006)
[44]
Bruker. AFM Probes - RS titanium roughness sample. https://www.brukerafmprobes.com/a-3552-rs.aspx, 2018.
[45]
D C Miller, R R Foster, S H Jen, J A Bertrand, S J Cunningham, A S Morris, Y C Lee, S M George, M L Dunn. Thermo- mechanical properties of alumina films created using the atomic layer deposition technique. Sensor Actuat A Phys 164(1-2): 58-67 (2010)
[46]
J Mandel. The Statistical Analysis of Experimental Data. New York (USA): John Wiley & Sons, 1964.
[47]
O E Dagdeviren. Exploring load, velocity, and surface disorder dependence of friction with one-dimensional and two-dimensional models. Nanotechnology 29(31): 315704 (2018)
[48]
N S Tambe, B Bhushan. Friction model for the velocity dependence of nanoscale friction. Nanotechnology 16(10): 2309-2324 (2005)
Publication history
Copyright
Acknowledgements
Rights and permissions

Publication history

Received: 08 January 2019
Revised: 18 February 2019
Accepted: 15 March 2019
Published: 17 April 2019
Issue date: June 2020

Copyright

© The author(s) 2019

Acknowledgements

The work described in this paper is enabled by using the equipment funded via the ERDF project RC.2.2.06-0001 "Research Infrastructure for Campus- based Laboratories at the University of Rijeka - RISK", as well as via the support of the University of Rijeka grants uniri-tehnic-18-32 "Advanced mechatronics devices for smart technological solutions" and 4581 "Measuring, modelling and compensating friction in high-precision devices: From macro- to nanometric scale". The work was partially supported also by the Croatian Science Foundation project IP-11-2013-2753 "Laser Cold Plasma Interaction and Diagnostics". The GoSumD software is provided by AIMdyn, Inc.

Rights and permissions

Open Access: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.

The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Return