Vector characterization and evolution of the running-in attractor. (May 2021)

• Record Type: Journal Article
• Authors: Lang, Shihui; Zhu, Hua; You, Shaoze
• Is Part Of: Tribology international. Volume 157(2021)
• Publication Date: 2021-05
• Subjects: Running-in attractor -- Phase space reconstruction -- Vector characterization parameters -- Evolution features; Tribology -- Periodicals; 621.89
• DOI: 10.1016/j.triboint.2021.106888
• Languages: English
• ISSNs: 0301-679X

Abstract

Abstract: Running-in is an important stage in friction and wear, the research on its process and evolution law is significant for running-in state identification and prediction. Running-in process tests were conducted on a tribometer under different conditions and its signals were collected. The phase space reconstruction and principal component analysis methods are introduced to reconstruct phase trajectory. Considering the limitations existing in traditional parameters, the vector characterization parameters of the minimum cosine similarity and the maximum distance between the adjacent phase points are proposed and their validity is studied. They can identify the state changes and characteristics of the running-in attractor and describe the evolution law of the running-in process. Thus, the vector characterization parameters have important application value and theoretical significance. Highlights: The vector representation method and parameters is proposed for studying the running-in attractor and its evolution law using fractal and chaos theory. The minimum cosine similarity S cos _ min and the distance d pmax between adjacent phase points can effectively describe the process by which the running-in attractor gradually converges and reaches equilibrium during the running-in process. These vector characterization parameters reveal the internal randomness, convergence degree and stability of the system.