Safeguarding conveyor performance: proactive maintenance lessons for mine engineers
Reviewed by Tom Sullivan
First reported on International Mining – News
30 Second Briefing
Safeguarding conveyor performance in mining and mineral processing, MATO Products sales engineer Keletso Mabula advocates comprehensive conveyor assessments focused on belt cleaners, carryback control and component wear. Proactive inspection of scraper alignment, blade tension, spillage patterns and chute loading conditions is positioned as essential to sustaining throughput and reducing unplanned stoppages on high‑tonnage overland and plant conveyors. The approach emphasises structured condition monitoring and timely maintenance interventions rather than reactive repairs once belt mistracking, excessive dust or material build-up have already escalated.
Technical Brief
- MATO Products’ assessments concentrate on primary and secondary belt scrapers and associated mounting structures.
- Inspections explicitly consider scraper type, blade material and compatibility with conveyed ore abrasivity and moisture.
- Mabula stresses that cleaner system design must suit belt speed, width and pulley diameters on each conveyor.
- Assessment scope includes condition of tensioning devices, mounting frames, fasteners and structural welds for fatigue or looseness.
- Dust and spillage control is linked to cleaner performance at both head and secondary discharge points.
- Safety focus extends to guarding around cleaner assemblies and safe access for adjustment and blade replacement.
- Findings from MATO’s audits are used to schedule planned shutdown tasks, minimising live-conveyor interventions.
- Mabula positions structured cleaner audits as a standardised input to mine conveyor safety management systems.
Our Take
Multotec Group appears frequently in our coverage as a plant-optimisation and wear-solutions provider, so MATO-branded conveyor maintenance offerings can give it a stronger ‘whole-of-circuit’ value proposition when bidding on new or brownfield projects.
Prepared by collating external sources, AI-assisted tools, and Geomechanics.io’s proprietary mining database, then reviewed for technical accuracy & edited by our geotechnical team.
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