Mathematical models of changes in the surface layer of frictional pairs as a tool to optimize the wear process

Matuszewski, M.; Słomion, Małgorzata; Mazurkiewicz, A.; Pimenov, Danil Yurievich

doi:10.1051/matecconf/201818202008

Cited by 2 publications

(2 citation statements)

References 8 publications

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“…For mass loss, the radial basis networks (RBFs) method resulted in the most precise prediction, whereas for surface deformation, the multilayer perceptrons (MLPs) technique brought the best results in terms of indicator Ra. Matuszewski et al [ 39 ] developed mathematical models based on experimental results to describe the connection of the surface wear and the studied influencing factors (e.g., load, velocity, surface parameters). The output parameters included mass loss, change in geometry, as well as surface roughness parameters.…”

Section: Introductionmentioning

confidence: 99%

Abrasive Sensitivity of Martensitic and a Multi-Phase Steels under Different Abrasive Conditions

et al. 2021

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The wear behaviour of two martensitic and one multiphase steel targeted for abrasion and erosion applications in agriculture and mining industry were investigated in three abrasive test systems with different complexity. Scratch tests were performed with different indenter radii, shapes, and loads. The material behaviour was also investigated in multi-asperity contact systems. Pin-on-disc tests were performed with various loads and abrasive particles, as well as abrasive slurry-pot tests with different sliding velocities, distances, and impact angles of the abrasive media were performed. Comparing the test systems, the tested materials ranked similarly based on their wear performance, however, in each configuration, the dominant variable of the wear mechanism differed. The significance and contributions of test paramecenterters, the material’s mechanical properties (H, , , E, , , W, , ) and the dimensionless numbers formed from them were investigated on the wear behaviour and the surface deformation. Correlation between parameters was established by multiple linear regression models. The sensitivity of the tested materials to abrasion was evaluated taking into account the wide range of influencing parameters.

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Section: Introductionmentioning

confidence: 99%

Abrasive Sensitivity of Martensitic and a Multi-Phase Steels under Different Abrasive Conditions

et al. 2021

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“…These changes are generally the reason of loss kinematic pair ability to fulfill the design-related functions in a different grade. The knowledge of the changes taking place makes it possible to forecast the condition of a technical facility [1][2][3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Shaft hoist rope wear condition as a diagnostic signal

Mańka¹,

Styp-Rekowski

Matuszewski

et al. 2021

MATEC Web Conf.

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In the paper there were discussed factors which determine wear process intensity of shaft hoist rope. The ropes as the element or the elements set are appearing in numerous, diverse machines and mechanisms, fulfilling the most different functions in them. Mining shaft hoists are a very representative example of the object being used for a vertical transport, of both the staff of the mine and winning. Results of experimental investigations of rope were presented. Findings obtained different methods were compared.

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Mathematical models of changes in the surface layer of frictional pairs as a tool to optimize the wear process

Cited by 2 publications

References 8 publications

Abrasive Sensitivity of Martensitic and a Multi-Phase Steels under Different Abrasive Conditions

Abrasive Sensitivity of Martensitic and a Multi-Phase Steels under Different Abrasive Conditions

Shaft hoist rope wear condition as a diagnostic signal

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