Akademik Veri Yönetim Sistemi
ENGINEERING SCIENCES, cilt.14, sa.4, ss.1604-1611, 2025 (TRDizin)
This study evaluated the effectiveness of sensor-based optical sorting technology for recovering magnesite from triage waste. Approximately one ton of magnesite waste samples, containing 45.9% MgO, 4.7% Fe₂O₃, and 10.6% SiO₂, were sampled from different regions of a waste site at a magnesite plant in the Eskişehir region. Two size fractions (-35+15 mm and -15+8 mm) were subjected to magnetic separation, washing, and two-stage optical sorting. For the -35+15 mm fraction, impurity levels were reduced from 9.94% to 1.91% SiO₂, 1.22% to 0.15% Fe₂O₃, and 2.41% to 0.81% CaO, achieving 65.12% concentrate yield. The -15+8 mm fraction showed similar improvements with a 72% concentrate yield. Results demonstrate that optical sorting technology can effectively upgrade magnesite waste to acceptable quality levels, supporting sustainable mining practices and circular economy principles while providing economic benefits through waste evaluation.