Technical Brief: Technical Brief

Wear Modeling Revisited Using Electrical Analogy

[+] Author and Article Information
M. Hanief

Mechanical Engineering Department,
National Institute of Technology,
Srinagar 190006, Jammu and Kashmir, India
e-mail: hanief@nitsri.net

M. F. Wani

Mechanical Engineering Department,
National Institute of Technology,
Srinagar 190006, Jammu and Kashmir, India
e-mail: mfwani@nitsri.net

Contributed by the Tribology Division of ASME for publication in the JOURNAL OF TRIBOLOGY. Manuscript received August 18, 2016; final manuscript received January 8, 2017; published online July 18, 2017. Assoc. Editor: Sinan Muftu.

J. Tribol 139(6), 064502 (Jul 18, 2017) (5 pages) Paper No: TRIB-16-1267; doi: 10.1115/1.4035780 History: Received August 18, 2016; Revised January 08, 2017

Electrical analogy has been used extensively in modeling various mechanical systems such as thermal, hydraulic, and other dynamic systems. However, wear modeling of a tribosystem using electrical analogy has not been reported so far. In this paper, an equivalent electrical analogous system is proposed to represent the wear process. An analogous circuit is developed by mapping the wear process parameters to that of the electrical parameters. The circuit, thus, developed is solved by conventional electrical circuit theory. The material properties and operating conditions are taken into account by model parameters. Accordingly, a model equation in terms of model parameters is developed to represent the wear rate. It is also demonstrated how this methodology can be used to take various system parameters into account by incorporating the equivalent resistance of the parameters. The nonlinear model parameters are evaluated by Gauss–Newton (GN) algorithm. The proposed model is validated by using experimental data. A comparison of the proposed model with the experimental results, based on statistical methods: coefficient of determination (R2), mean-square-error (MSE) and mean absolute percentage error (MAPE), indicates that the model is competent to predict the wear with a high degree of accuracy.

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Grahic Jump Location
Fig. 3

Equivalent resistance of material properties and operating conditions

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Fig. 2

Schematic representation of change of (a) wear rate (b) wear volume, with time

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Fig. 1

Interaction between the asperities and the direction of velocity and forces

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Fig. 4

Analogous electrical circuit for wear process

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Fig. 5

Change of wear rate with time during running-in and steady-state

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Fig. 6

Analogous characteristics of wear and capacitor discharge

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Fig. 7

Comparison of experimental and predicted wear volume of steel sample using electrical analogy and Zhang et al. [18] model

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Fig. 8

Comparison of experimental and predicted wear volume of aluminum composite pin using electrical analogy and Zhang et al. [18] model



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