The friction coefficient is difficult to measure in a real application, whether friction coefficient and vibration signals have the same dynamic characteristics is an urgent issue to be solved. The running-in friction...
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The friction coefficient is difficult to measure in a real application, whether friction coefficient and vibration signals have the same dynamic characteristics is an urgent issue to be solved. The running-in friction tests were carried out under dry friction, starved, and flooded lubrications. Cross recurrence plots (CRPs) and their measures were used to explore the correlation between friction signals. The results show that the more obvious the diagonal structures in CRPs, the better the correlation between the two signals. The measures from different friction systems are smaller than those from the same system. average diagonal length is more sensitive to characterize the correlation. Irrespective of lubrication conditions, friction coefficient and vibration in the same friction system have a strong correlation. The correlation under boundary lubrication is the strongest, followed by oil-rich and dry friction. Thus, friction coefficient or vibration can be selected according to the convenience of measurement to monitor the running-in process.
This paper presents a new methodology of wear state recognition by using fractal parameters, nuillifractal parameters and recurrence parameters. The relationship between these nonlinear parameters is analyzed. A nonli...
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This paper presents a new methodology of wear state recognition by using fractal parameters, nuillifractal parameters and recurrence parameters. The relationship between these nonlinear parameters is analyzed. A nonlinear state point of worn surface is established by fractal dimension, average diagonal length and spectrum width. Further, a steady state sphere is obtained by the nonlinear state point and K-means clustering algorithm. Results show that fractal, multifractal and recurrence parameters characterize the worn surface from different perspectives. They should be used simultaneously to comprehensively characterize the integral structures, partial structures and internal structures of worn surface. The proposed nonlinear state point shows a variation process of concentration-stabilization-separation during the wear process. The wear states can be identified effectively by the relationship between nonlinear state points and steady state sphere.
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