Abrasive wear behaviour of 27MnB5 steel used in agricultural tines

Kalácska, Ádám; Baets, Patrick De; Fauconnier, Dieter; Schramm, Florian; Frerichs, Ludger; Sukumaran, Jacob

doi:10.1016/j.wear.2019.203107

Cited by 25 publications

(27 citation statements)

References 19 publications

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“…Using the abrasive pin-on-plate method, micro- and macro- cutting occurred on the polymer surface due to the abrasive particles of standardized commercial clothes, that were originally designed for use as surface cutting/polishing tools. This phenomenon is reportedly dominant—as mentioned in the introduction—with tillage or cultivator elements [ 4 ] in a lower speed range ( v = 0–10 km/h). The slurry containing model can achieve abrasive erosion, which is common for harvester components which are exposed to wet, soil-contaminated products (different plants, e.g., potatoes, rice).…”

Section: Methods and Tested Materialsmentioning

confidence: 97%

Abrasive Sensitivity of Engineering Polymers and a Bio-Composite under Different Abrasive Conditions

et al. 2020

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Two different test systems were designed to evaluate the tribological behavior of five engineering plastics (Polyamide—PA grades and Ultra High Molecular Weight Polyethylene—UHMW-PE) and a fully degradable bio-composite (Polylactic Acid—PLA/hemp fibers) targeted to agricultural machinery abrasive conditions. Pin-on-plate tests were performed with different loads, sliding velocity and abrasive particles. The material response was further investigated in a slurry containing abrasive test system with different sliding velocities and distances, abrasive media compositions and impact angles. The abrasive wear, the change of the 3D surface roughness parameters, the friction force and contact temperature evolution were also analyzed as a function of the materials’ mechanical properties (H,E,σy,σc,εB,σF,σM) and the dimensionless numbers derived from them. Using the IBM SPSS 25 software, multiple linear regression models were used to statistically evaluate the measured data and to examine the sensitivity of the material properties and test system characteristics on the tribological behavior. For both test setups, the system and material characteristics influencing the dependent variables (wear, friction, heat generation) and the dimensionless numbers formed from the material properties were ranked using standardized regression coefficients derived from the regression models. The abrasion sensitivity of the tested materials were evaluated taking into account a wide range of influencing parameters.

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Section: Methods and Tested Materialsmentioning

confidence: 97%

Abrasive Sensitivity of Engineering Polymers and a Bio-Composite under Different Abrasive Conditions

et al. 2020

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“…In the multi-asperity contact abrasive pin-on-disc, the contact surface of the steel samples interacts with new SiC particles during the sliding resulting in surface deformation and wear of the specimen. The mentioned wear process was found to be dominant in case of agricultural tines and cultivator elements operating below 5 m/s [ 1 ]. Abrasive slurry erosion was accomplished in the slurry pot system, which is often encountered in agriculture (e.g., when wet, soil contaminated crops are harvested, and in mining in the environment of abrasive slurry (e.g., slurry pipes).…”

Section: Methodsmentioning

confidence: 99%

“…The test configuration was designed to experimentally simulate the wear of components that experiences abrasive erosion wear mechanisms. This test set-up enables to test in a more complex environment closer to the real application, where co-existing wear mechanism occurs e.g., on agricultural tines [ 1 ]. Although more uncertainties are involved in the slurry-contact mechanism, the effects of the controlled wear-influencing parameters are investigated.…”

Section: Methodsmentioning

confidence: 99%

“…In engineering applications, where harsh operating conditions prevail such as in mineral industry, soil processing, and agriculture, tribological investigation of the operational variable dependent, location-specific wear and damage mechanisms are particularly important [ 1 , 2 ]. The demand of extended lifetime for machine elements and an increase in cost efficiency urges developing new materials, and the most cost-effective wear-resistant materials should be identified and applied [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

“…In 1986, the total annual cost due to wear in the agricultural sector of Canada reached around $940 million [ 4 ]. In agricultural machinery wear parts are frequently produced from specific steels, e.g., tillage tools, which are exposed to abrasive wear are made of 27MnB5 [ 1 ]. Other components such as slurry pumps, extruders, pipes carrying ores, and coal slurry nozzles are exposed to slurry abrasive wear in power plants and mineral processing industries [ 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

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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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