Journal of Materials Engineering and Performance, Год журнала: 2024, Номер unknown
Опубликована: Дек. 10, 2024
Язык: Английский
Coatings, Год журнала: 2025, Номер 15(2), С. 150 - 150
Опубликована: Янв. 30, 2025
The processes of rock excavation and processing involve intense mechanical stresses on cutting, displacing, transporting tools, inevitably leading to the phenomenon dry friction wear. factors influencing intensity mechanisms wear are complex interdependent, being conditioned by physical–mechanical properties rocks, geometric characteristics materials as well cutting process parameters (cutting force, feed rate). Previous studies have mainly addressed global aspect without delving into microstructural evolution contact surfaces during process. In this paper, through controlled tribometric tests, we investigated in detail abrasive metallic with different types an emphasis role played surface roughness mineralogical rocks. Experimentally, varied applied forces number cycles simulate working conditions evaluate how these influence morphology evolution. Microstructural analysis samples, combined measurements, allowed identification predominant degradation (abrasion, adhesion, fatigue) their correlation material parameters. results shown a strong between capacity rocks petrographic properties, such hardness, porosity, hard mineral content. It was also found that plays essential mechanisms, both initiation propagation its effects. Depending experimental data, developed classification based potential proposed criteria for optimal adoption tools technological equipment depending type encountered. study can contribute improving durability mining equipment, reducing operating costs.
Язык: Английский
Процитировано
1
Wear, Год журнала: 2025, Номер unknown, С. 205853 - 205853
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
0
Science China Technological Sciences, Год журнала: 2025, Номер 68(2)
Опубликована: Янв. 9, 2025
Язык: Английский
Процитировано
0
Applied Sciences, Год журнала: 2025, Номер 15(7), С. 3603 - 3603
Опубликована: Март 25, 2025
A two-year study (June 2022–May 2024) on the reliability and maintainability of technological equipment at Pătârș basalt quarry identified critical wear issues in metal components impacting operational continuity. The analysis focused identifying causes interruptions evaluating solutions to improve performance. Results showed that speed load significantly impact rate material selection influences abrasion resistance. Laboratory tribological tests provided valuable data influence properties wear, complementing field data. highlighted low components, such as sorting station trough, front loader bucket knife, excavator tooth, necessitating frequent replacements. For example, trough has only a 40% probability operating without defects after 182 days, with average roughness reaching 1.2 μm profile height up 22.5 μm. Similarly, knife tooth require replacement reduced intervals compared their nominal life achieve 80% reliability. To address these findings, proposes two solutions: (1) manufacturing experimental prototypes alternative materials for resistance reliability; (2) on-site welding reconditioning reduce costs downtime.
Язык: Английский
Процитировано
0
Advanced structured materials, Год журнала: 2025, Номер unknown, С. 373 - 387
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0
Soil and Tillage Research, Год журнала: 2024, Номер 242, С. 106161 - 106161
Опубликована: Май 22, 2024
Язык: Английский
Процитировано
3
Tribology International, Год журнала: 2024, Номер 196, С. 109724 - 109724
Опубликована: Апрель 30, 2024
Язык: Английский
Процитировано
2
Tribology International, Год журнала: 2024, Номер 199, С. 109988 - 109988
Опубликована: Июль 14, 2024
When modeling bearings in the context of entire transmissions or drivetrains, there are practical limits to calculation resources available calculate single even contacts. In settings such as these, curve-fitting methods have historically been deployed estimate elastohydrodynamic lubrication conditions. Machine learning potential enable more sophisticated physical larger computation environments, evaluation time a trained model is typically negligible. We present neural network that accurately evaluates locally variable film pressure and thickness distributions explore its application (e.g.) cylindrical roller bearings. Employing for EHL calculations rather than curve-fitted, simplified today's standard can physically precise strategy at almost no additional computational cost.
Язык: Английский
Процитировано
2
Lubricants, Год журнала: 2024, Номер 12(8), С. 290 - 290
Опубликована: Авг. 15, 2024
The present study aims to efficiently predict the wear volume of a journal bearing under start–stop operating conditions. For this purpose, data generated with coupled mixed-elasto-hydrodynamic lubrication (mixed-EHL) and simulation model are used develop neural network (NN)-based surrogate that is able based on operational parameters. suitability different time series forecasting NN architectures, such as Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), Nonlinear Autoregressive Exogenous Inputs (NARX), studied. highest accuracy achieved using NARX architectures.
Язык: Английский
Процитировано
2
Опубликована: Янв. 1, 2024
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Язык: Английский
Процитировано
1