Donar DE-XRT Pro Sorting System

Mining operations present a sorting challenge where valuable ore is buried within overwhelming volumes of waste rock — and the cost of processing that waste through energy-intensive grinding, water-heavy beneficiation, and reagent-dependent circuits can render even high-grade deposits economically marginal. For mining operations worldwide, the ability to detect and reject waste rock early in the process — based on intrinsic atomic density and composition rather than surface appearance alone — is the key to pre-concentrating high-grade ore before it ever enters downstream processing, dramatically reducing the volume of material sent to grinding and beneficiation circuits, and transforming low-margin operations into profitable, sustainable producers. Intelligent dual-sensor ore sorting is the key to unlocking value that conventional processing leaves behind.

The Donar DE-XRT Pro is an intelligent dual-sensor sorting system custom-designed for mining operations worldwide. By fusing Dual-Energy X-ray Transmission (DE-XRT) — which identifies minerals based on atomic density and composition — with high-resolution RGB imaging — which captures surface features — the system achieves precise detection and rejection of waste rock from high-grade ore during pre-concentration, with high-pressure air ejection ensuring accurate material separation at industrial throughput and significantly reducing the volume of material entering downstream grinding and beneficiation circuits.

AI-driven surface feature recognition algorithms — trained on real-world production data using deep learning, with sorting precision refined continuously — ensure consistently high sorting accuracy across varying ore mineralogy — while its non-contact detection principle and modular design enable rapid configuration for diverse ore types, from gold and copper to lithium, chrome, and industrial minerals, delivering a cost-effective, dry pre-concentration solution that reduces operating costs, minimizes energy and water consumption, and lowers the environmental footprint of mining operations with unmatched confidence.

Technical Features

● DE-XRT + High-Resolution RGB Hybrid Sensing

Dual-Energy X-ray Transmission (DE-XRT) identifies minerals based on atomic density and internal composition, while high-resolution RGB imaging captures surface features — enabling real-time differentiation of high-grade ore from waste rock through complementary detection capabilities.

● Proprietary AI Deep Learning Algorithms

The intelligent sorting system is trained on real-world production data to replicate expert operator decision-making, learning the full range of ore characteristics and sorting criteria. Deep learning models are continuously retrained on new production samples, progressively improving sorting accuracy over time.

● High-Performance Air Ejection System

Powerful high-speed air ejectors, designed and manufactured in-house, deliver precise material rejection with rapid response times, ensuring accurate separation and reliable performance even at high-capacity throughput.

● Flexible Modular Design

Modular design with two available models — 1300 mm and 2000 mm belt width — enables rapid deployment and easy adaptation to diverse ore types and site-specific requirements, providing processors with scalable sorting capacity and reduced integration costs.

Typical Application Scenarios

✦ Low-Grade Ore Pre-Concentration

Rapid waste rejection at mine sites or plant feed stages to upgrade ore grade and reduce hauling and processing costs.

✦ Bulk Mineral Sorting (Copper/Lead-Zinc/Iron)

Reject low-grade material before crushing and grinding to optimize downstream beneficiation processes.

✦ Precious Metal Ore Sorting (Gold/Silver/PGMs)

XRT identifies gold-bearing sulfide minerals based on density contrast with barren gangue, enabling early recovery of low-grade precious metal ore that would otherwise be discarded.

✦ Diamond/Gemstone Rough Ore Sorting

Non-destructive sorting preserves crystal integrity while rejecting barren gangue, delivering significant recovery improvements.

✦ Lithium Ore Sorting

Separates lithium-bearing pegmatite ore from gangue based on density differences, enabling on-site pre-concentration that reduces shipping volumes and downstream water and reagent consumption.

✦ Industrial Minerals Sorting

High-purity separation of industrial minerals — including quartz, fluorspar, and feldspar — from associated gangue, delivering feed material that meets stringent quality specifications.

✦ Tailings Reprocessing

Recover residual valuables from legacy tailings for resource recovery and mine site rehabilitation.

Benefits

✦ Cost Efficiency

Rejects up to 50–90% of waste rock upfront, significantly reducing hauling, grinding, water, and reagent expenses while increasing mill feed grade and overall recovery.

✦ Sustainability

Reduces tailings volume, energy consumption, water usage, and greenhouse gas emissions per ton of product, supporting ESG commitments and responsible mining practices.

✦ Fast ROI

Delivers payback typically within 12–18 months through reduced operating costs, lower capital expenditure on downstream infrastructure, and improved productivity.

✦ Extended Mine Life

Upgrades previously uneconomic, low-grade material into processable ore, unlocking additional reserves and extending the productive life of mining operations.

✦ Enhanced Process Control

Real-time material characterization and AI-driven sorting decisions deliver consistent, high-grade feed to downstream processes, reducing variability and improving overall plant stability.

Specifications