Wood waste recycling presents a sorting challenge where material quality is defined by internal properties invisible to the naked eye — wood waste streams contain a complex mixture of quality grades, moisture levels, and hidden contaminants such as metals, stones, and dense foreign objects, all commingled in unpredictable combinations. For wood recyclers and biomass processors, the ability to accurately classify wood by density and quality grade while simultaneously detecting and removing contaminants is the key to producing clean, high-purity wood fractions that protect downstream equipment, maximize recycling efficiency, and command premium market value. Intelligent dual-sensor sorting is the key to unlocking what conventional surface-only systems cannot detect.
The Donar DE-XRT Pro Sorting System leverages the cutting-edge fusion of Dual-Energy X-ray Transmission (DE-XRT) and high-resolution RGB (HR-RGB) imaging technology powered by state-of-the-art AI algorithms to accurately identify and classify wood quality grades by jointly calibrating wood density, dual-energy ratio (DER), characteristic absorption, and surface features — efficiently removing contaminants from wood waste, enhancing recycling efficiency, and improving material purity.
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 diverse wood compositions and contamination profiles — helping processors maximize quality-grade recovery, eliminate hidden contaminants, and deliver clean, high-purity wood output that protects downstream equipment and meets the exacting standards of modern wood recycling with unmatched confidence.
Applications

Two X-ray Energy Levels:
Low-Energy X-Ray (20-50 keV)
High-Energy X-Ray (80-150 keV)
Softwood
✦ DER 1.1-1.3
✦ Density 0.35-0.55 g/cm³
Hardwood
✦ DER 1.5-1.8
✦ Density 0.65-1.05 g/cm³
MDF
✦ DER 1.2-1.6
✦ Density 0.65-0.80 g/cm³
Contaminants
✦ DER > 2.0
Technical Features
● Exceptional Hybrid of Dual-Energy X-ray Transmission and High-Resolution RGB Imaging Technology
Precise wood quality classification and efficient contaminant removal by measuring differences in density, dual-energy ratio (DER), characteristic absorption and surface features.
● Proprietary AI Deep Learning Algorithms
Innovative simulation of manual picking operation by teaching and training the intelligent sorting system all the standards and features of identification and sorting. AI algorithms continuously improve sorting accuracy, with models retrained on new production samples via deep learning.
● Reliable High-Performance Air Ejector System
Powerful high-speed air ejectors designed and produced in-house ensure accurate rejection and reliable performance at high-capacity sorting.
● Flexible Modular Design
Modular design of belt width from 1300 to 2000mm (1300/2000) provides processors more flexibility, ideal for wood recyclers, recycled panel producers and biomass power plants.
Benefits
✦ Enhanced Material Purity
✩ Precision sorting: Separates softwood, hardwood, MDF, and contaminants (metals, plastics, stones).
✩ Higher-quality recycled wood: Suitable for premium applications (furniture, construction).
✦ Reduced Processing Costs
✩ Less manual labor: 3-5x faster than manual sorting.
✩ Lower contamination costs: Removes hazardous materials early.
✦ Environmental & Sustainable Benefits
✩ Less landfill waste: >90% recovery rate (vs. 60-70% conventional).
✩ Lower CO₂ emissions: 75% less carbon than virgin wood.
✦ Increased Revenue
✩ Higher resale value: Purified wood sells for 30-50% more.
✩ Optimized resource use: MDF→biofuel, hardwood→furniture.
Specifications
| Model | Donar DE-XRT1300 Pro |
Donar DE-XRT2000 Pro |
|
Belt Width (mm) |
1300 | 2000 |
|
Inspection Width (mm) |
1200 | 1800 |
|
Air Nozzle |
202 | 304 |
|
Sorting Size (mm) |
10~80 |
10~80 |
|
Throughput (t/h) |
4~10 |
6~16 |
|
Air Consumption (m3/min) |
15 | 15 |
|
Power (kW) |
12 | 15 |
|
Dimension (mm) |
5,675×2,436×2,349 |
5,593×2,770×2,703 |
|
Unpacked Weight (t) |
5.8 | 8.7 |