WEBINAR | Correlated Microanalytical Workflows for Particle Analysis Using Automated Mineralogy, FIB-SEM and SIMS

Preventing Future Losses: Metallurgical Ore Textural Analysis using Tescan TIMA™

In mineral processing, inconsistent recoveries and unexpected losses often stem from a single blind spot: unrepresentative ore texture data during the resource characterization stage. A flowsheet based on limited mineralogical input often leads to an incorrect target grind size, resulting in either over-grinding (wasted energy) or under-grinding (lost value).

Traditional logging methods provide only snapshots, failing to capture the quantitative, mining-scale insight needed for confident production decisions. The Tescan TIMA™ addresses this by characterizing unbroken ore textures and mineralogy, directly contributing to the definition of geometallurgical domains.

 

Discover how Tescan TIMAprovides the data required to support your most critical flowsheet and recovery decisions. 

Metallurgical Ore Textural Analysis using Tescan TIMATM

Download Application note