Scott Technology AMS crush cell: implications for commercial assay workflows
Reviewed by Tom Sullivan
First reported on International Mining – News
30 Second Briefing
Scott Technology has secured a major contract to supply an Automated Modular Solution (AMS) crush cell to one of the world’s largest testing, inspection and certification providers, its first deployment of the Rocklabs AMS platform in a large-scale commercial minerals laboratory rather than an on-site mine lab. The modular crush cell automates sample receiving, crushing and splitting, aiming to standardise preparation workflows and reduce manual handling in high-throughput commercial assay operations. For geometallurgy and grade control teams, this signals growing availability of off-the-shelf automation in third‑party lab chains, not just bespoke mine-site systems.
Technical Brief
- Rocklabs AMS architecture allows cell-level deployment, enabling staged automation of discrete preparation steps.
- System design targets compatibility with existing commercial lab sample flows and barcode-based tracking systems.
- Automation reduces direct operator contact with crushed material, lowering dust exposure and repetitive handling.
- Modular configuration supports later addition of drying, pulverising and subsampling modules as throughput grows.
- Deployment with a global TIC provider positions AMS for multi-site replication across standardised lab networks.
- For mine–lab interfaces, off-site AMS cells could stabilise preparation bias between different commercial laboratories.
Our Take
For projects tagged as Product in our coverage, commercial minerals labs are often a bottleneck for turnaround time; modular automation like this typically signals a push by operators to standardise QA/QC workflows across multiple sites rather than upgrade a single in-house lab.
Vendors such as Scott Technology that can demonstrate reliable automated sample preparation at commercial labs often gain a route into greenfield feasibility work, as engineering houses prefer to design new projects around lab workflows that are already proven at scale.
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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