journal article·2025-03-25Open access

Influence of Abrasive Wear on Reliability and Maintainability of Components in Quarry Technological Equipment: A Case Study

Vlad Alexandru Florea, Mihaela Toderaș, Daniel Tihanov-Tănăsache

Applied Sciences· Volume 15· Issue 7

Abstract

A two-year study (June 2022–May 2024) on the reliability and maintainability of technological equipment at the Pătârș basalt quarry identified critical wear issues in metal components impacting operational continuity. The analysis focused on identifying causes of operational interruptions and evaluating solutions to improve equipment performance. Results showed that speed and load significantly impact wear rate and material selection significantly influences abrasion resistance. Laboratory tribological tests provided valuable data on the influence of basalt properties on wear, complementing field data. The study highlighted the low reliability of critical components, such as the sorting station trough, front loader bucket knife, and excavator bucket tooth, necessitating frequent replacements. For example, the trough has only a 40% probability of operating without defects after 182 days, with average roughness reaching 1.2 μm and wear profile height up to 22.5 μm. Similarly, the bucket knife and tooth require replacement at significantly reduced intervals compared to their nominal operating life to achieve 80% reliability. To address these findings, the study proposes two solutions: (1) manufacturing experimental prototypes with alternative materials for the trough to improve wear resistance and reliability; and (2) on-site welding reconditioning of metal components to reduce costs and downtime.
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Research context

OpenAlex topics: Tunneling and Rock Mechanics · Metal Alloys Wear and Properties · Advanced machining processes and optimization

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Mechanical, Industrial and Transportation Engineering, University of Petrosani, 332006 Petrosani, Romania

Mining Engineering, Surveying and Civil Engineering Department, Faculty of Mines, University of Petrosani, 332006 Petrosani, Romania

Min Expert Ltd., 300055 Timisoara, Romania

References (56)

Show source-provided references
1. Birolini, A. (2010). Reliability Engineering. Theory and Practice, Springer. [6th ed.].10.1007/978-3-642-14952-8 ↗
2. Bradley, E. (2017). Reliability Engineering: A Life Cycle Approach, CRC Press.10.1201/9781315367422 ↗
3. Florea, V.A. (2022). Fiabilitatea Sistemelor Mecanice, Editura Universitas.
4. Practical estimates of rock mass strength10.1016/S1365-1609(97)80069-X ↗
5. Florea, V.A. (2020). Mentenanța Echipamentelor Industriale, Editura Universitas.
6. Dhillon, B.S. (2006). Maintainability, Maintenance, and Reliability for Engineers, CRC Press. [1st ed.].10.1201/9781420006780 ↗
7. Florea, V.A., and Toderaș, M. (2024). Efficiency of Maintenance Activities in Aggregate Quarries: A Case Study of Wear Parts on Loaders and Excavators. Appl. Sci., 14.10.3390/app14177649 ↗
8. Rupar, V., Čebašek, V., Milisavljević, V., Stevanović, D., and Živanović, N. (2021). Determination of Mechanical Properties of Altered Dacite by Laboratory Methods. Minerals, 11.10.3390/min11080813 ↗
9. Mucha, K. (2023). Application of Rock Abrasiveness and Rock Abrasivity Test Methods—A Review. Sustainability, 15.10.3390/su151411243 ↗
10. Voit, K., Zeman, O., Gappmaier, P., Wriessnig, K., and Adamcova, R. (2023). Influence of Measurement Uncertainty in the Determination of Selected Rock Parameters—A Realistic Approach. Materials, 16.10.3390/ma16083045 ↗
11. Abrasive wear mechanisms and their relation to rock properties10.1016/j.wear.2013.10.005 ↗
12. Wieczorek, A.N., Jonczy, I., Filipowicz, K., Kuczaj, M., Pawlikowski, A., Mucha, K., and Gerle, A. (2024). Effect of the Mineralogical Composition of Sandstones on the Wear of Mining Machinery Components. Coatings, 14.10.20944/preprints202405.1730.v1 ↗
13. Wei, T., Zhou, Z., Ling, X., Lv, M., Di, Y., Qin, K., and Zhou, Q. (2024). A Study of the Effect of Roughness on the Three-Body Wear Mechanism from a Microscopic Point of View: Asperity Peak Removal. Metals, 14.10.3390/met14121385 ↗
14. Kuźnar, M., Lorenc, A., and Kaczor, G. (2021). Pantograph Sliding Strips Failure—Reliability Assessment and Damage Reduction Method Based on Decision Tree Model. Materials, 14.10.3390/ma14195743 ↗
15. A new method to test rock abrasiveness based on physico-mechanical and structural properties of rocks10.1016/j.jrmge.2014.12.004 ↗
16. Jimenez-Cortadi, A., Irigoien, I., Boto, F., Sierra, B., and Rodriguez, G. (2020). Predictive maintenance on the machining process and machine tool. Appl. Sci., 19.10.3390/app10010224 ↗
17. Criticality-based maintenance of a coal-fired power plant10.1016/j.energy.2018.01.048 ↗
18. Teera-Achariyakul, N., and Rerkpreedapong, D. (2022). Optimal Preventive Maintenance Planning for Electric Power Distribution Systems Using Failure Rates and Game Theory. Energies, 15.10.3390/en15145172 ↗
19. Component Reliability Modeling of Distribution Systems Based on the Evaluation of Failure Statistics10.1109/TDEI.2007.4339478 ↗
20. García, F.J.Á., and Salgado, D.R. (2022). Analysis of the Influence of Component Type and Operating Condition on the Selection of Preventive Maintenance Strategy in Multistage Industrial Machines: A Case Study. Machines, 10.10.3390/machines10050385 ↗
21. Influence of Cyclic Wetting–Drying on the Shear Strength of Limestone with a Soft Interlayer10.1007/s00603-021-02502-2 ↗
22. Cross-scale quantitative and qualitative study of grotto sandstone under salt weathering10.1007/s00603-024-04130-y ↗
23. Zhang, M., Liu, S., Hou, X., Dong, H., Cui, C., and Li, Y. (2022). Reliability Modeling and Analysis of a Diesel Engine Design Phase Based on 4F Integration Technology. Appl. Sci., 12.10.3390/app12136513 ↗
24. Assessment of the optimal preventive maintenance period using stochastic hybrid modelling10.1016/j.procs.2022.01.367 ↗
25. Irfan, A., Umar Muhammad, M., Omer, A., and Mohd, A. (2021). Optimization and estimation in system reliability allocation problem. Reliab. Eng. Syst. Saf., 212.10.1016/j.ress.2021.107620 ↗
26. Iheukwumere-Esotu, L.O., and Yunusa-Kaltungo, A. (2022). Knowledge Management and Experience Transfer in Major Maintenance Activities: A Practitioner’s Perspective. Sustainability, 14.10.3390/su141711041 ↗
27. Motamedi, N., Magnier, V., and Wannous, H. (2023). Towards the identification of the link between the contact roughness and the friction-induced vibration: Use of deep learning. Eur. J. Mech. A Solids, 99.10.1016/j.euromechsol.2023.104949 ↗
28. Dangal, S., Faludi, J., and Balkenende, R. (2022). Design Aspects in Repairability Scoring Systems: Comparing Their Objectivity and Completeness. Sustainability, 14.10.3390/su14148634 ↗
29. Pacana, A., and Siwiec, D. (2022). Method of Determining Sequence Actions of Products Improvement. Materials, 15.10.3390/ma15186321 ↗
30. Kowalski, S., Pexa, M., Aleš, Z., and Čedík, J. (2021). Failure Analysis and the Evaluation of Forced-in Joint Reliability for Selected Operation Conditions. Coatings, 11.10.3390/coatings11111305 ↗
31. Pavelescu, D. (1983). Tribotehnica, Editura Tehnică.
32. Tihanov-Tănăsache, D. (2017). Research on the Posibilities of Improving the Maintenance Activities of Technological Equipment in Quarries. [Ph.D. Thesis, University of Petrosani].
33. On the use of machine learning methods to predict component reliability from data-driven industrial case studies10.1007/s00170-017-1039-x ↗
34. Predictive asset availability optimization for underground trucks and loaders in the mining industry10.1007/s12597-020-00502-4 ↗
35. Lemecha, M., Ligier, K., Napiórkowski, J., and Vrublevskyi, O. (2024). Analysis of Tribological Properties of Hardfaced High-Chromium Layers Subjected to Wear in Abrasive Soil Mass. Materials, 17.10.3390/ma17143461 ↗
36. Lemecha, M., Napiórkowski, J., Ligier, K., Tarasiuk, W., and Sztukowski, K. (2022). Analysis of Wear Properties of Powder Metallurgy Steel in Abrasive Soil Mass. Materials, 15.10.3390/ma15196888 ↗
37. Chang, X.-D., Peng, Y.-X., Zhu, Z.-C., Zou, S.-Y., Gong, X.-S., and Xu, C.-M. (2018). Evolution Properties of Tribological Parameters for Steel Wire Rope under Sliding Contact Conditions. Metals, 8.10.3390/met8100743 ↗
38. AI for tribology: Present and future10.1007/s40544-024-0879-2 ↗
39. Freschi, M., Paniz, A., Cerqueni, E., Colella, G., and Dotelli, G. (2022). The twelve principles of green tribology: Studies, research, and case studies—A brief anthology. Lubricants, 10.10.3390/lubricants10060129 ↗
40. Uniaxial Compressive Strength of Composite Rock Material with respect to Shale Thickness Ratio and Moisture Content
41. Effect of rock strength on failure mode and mechanical behavior of composite samples10.1007/s12517-014-1574-9 ↗
42. Marian, I. (1983). Mecanizarea Transportului Minier în Subteran, Editura Tehnică.
43. Popa, A., Rotunjanu, I., Arad, V., and Gâf-Deac, I. (1993). Exploatări Miniere, Editura Didactică și Pedagogică, R.A.
44. Todorescu, A. (1984). Proprietățile Rocilor, Editura Tehnică.
45. Nan, M.S., and Kovacs, I. (1998). Cercetări în Domeniul Stabilirii Parametrilor Constructive și Funcționali ai Organelor Tăietoare la Combinele de Înaintare cu Atac Parțial, Lucrările Științifice ale U.T. Petroșani.
46. Kovacs, I., Ilias, N., and Nan, M.S. (2000). Regimul de Lucru al Combinelor Miniere, Editura Universitas.
47. Ateya, S.F., Alghamdi, A.S., and Mousa, A.A.A. (2022). Future Failure Time Prediction Based on a Unified Hybrid Censoring Scheme for the Burr-X Model with Engineering Applications. Mathematics, 10.10.3390/math10091450 ↗
48. Chen, Y., Ma, X., Wei, F., Yang, L., and Qiu, Q. (2022). Dynamic Scheduling of Intelligent Group Maintenance Planning under Usage Availability Constraint. Mathematics, 10.10.3390/math10152730 ↗
49. Bachchhav, B.D., Chaitanya, S.V., Salunkhe, S., Chandrakumar, P., Pagáč, M., and Nasr, E.A. (2023). Wear Performance of Cu–Cd, Cu–Be and Cu–Cr–Zr Spot Welding Electrode Materials. Lubricants, 11.10.3390/lubricants11070291 ↗
50. Lavrys, S., Pohrelyuk, I., Padgurskas, J., and Shliakhetka, K. (2023). Improving Wear Resistance of Highly Porous Titanium by Surface Engineering Methods. Coatings, 13.10.3390/coatings13101714 ↗
51. Weibull, W. (1939). A Statistical Theory of the Strength of Materials, The Royal Swedish Institute for Engineering Research. Available online: https://scholar.google.com/scholar_lookup?title=A+Statistical+Theory+of+the+Strength+of+Materials&author=Weibull,+W.&publication_year=1939.
52. A fuzzy decision support system for managing maintenance activities of critical components in manufacturing systems10.1016/j.jmsy.2019.06.002 ↗
53. Brase, M., Binder, J., Jonkeren, M., and Wangenheim, M. (2024). A generalised method for friction optimisation of surface textured seals by machine learning. Lubricants, 12.10.3390/lubricants12010020 ↗
54. The effect of temperature on wear and friction of a high strength steel in fretting10.1016/j.wear.2013.03.048 ↗
55. (2024, November 06). Available online: https://pucest.com/pdf/product-sheet/P0004-Pucest-Plates-EN.pdf.
56. Florea, V.A., Ionică, A.C., Florea, A., Itu, R.-B., and Popescu-Stelea, M. (2022). Study of the Possibilities of Improving Maintenance of Technological Equipment Subject to Wear. Processes, 10.10.3390/pr10122550 ↗