Abrasive Sensitivity of Martensitic and a Multi-Phase Steels under Different Abrasive Conditions
| Autor: | Kalácska, Ádám, Székely, László, Keresztes, Róbert Zsolt, Gábora, András, Mankovits, Tamás, De Baets, Patrick |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Technology and Engineering
regression model lcsh:QH201-278.5 lcsh:T mechanical properties lcsh:Technology surface analysis Article lcsh:TA1-2040 General Materials Science lcsh:Descriptive and experimental mechanics lcsh:Electrical engineering. Electronics. Nuclear engineering steel lcsh:Engineering (General). Civil engineering (General) lcsh:Microscopy abrasive wear lcsh:TK1-9971 lcsh:QC120-168.85 |
| Zdroj: | Materials Volume 14 Issue 6 Materials, Vol 14, Iss 1343, p 1343 (2021) MATERIALS |
| ISSN: | 1996-1944 |
| DOI: | 10.3390/ma14061343 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|