Discharging granularity: 0.074-0.89㎜
Ball weight: 1.5-338t
Configuration power: 18.5-4500kw
Scope of application: Power plants, cement plants, stone plants, electronic products, new materials, refractory materials and other production fields.
1. Fine discharge particle, better finished product particle, less powder, cheaper price.
2. Long lifespan of wearing parts.
3. Small footprint, easy operation, durable working hours, reliable performance, simple maintenance, simple structure.
Performance of the classifiers was measured by using receiver operation characteristic curves RESULTS The classification system developed here with the quadratic classifier yielded 50 falsepositive rate and zero falsenegative rate which means that no malignant lesions would be missed by this classifier
Model | Max. Feeding Size (mm) |
Processing Capacity (t/h) |
Motor Power (kw) |
Obliquity of material trough (°) |
Trough size (mm) |
Dimensions (L×W×H)(mm) |
GZD-650×2300 | 300 | 80-100 | 1.2×2 | 10-20 | 650×2300 | 2300×1360×780 |
GZD-750×2500 | 350 | 100-130 | 1.5×2 | 10-20 | 750×2500 | 2500×1460×780 |
GZD-850×3000 | 400 | 120-150 | 3×2 | 10-20 | 850×3000 | 3110×1800×1600 |
GZD-1000×3600 | 500 | 150-200 | 3.7×2 | 10-20 | 1000×3600 | 3850×1950×1630 |
GZD-1100×3600 | 580 | 240-300 | 3.7×2 | 10-20 | 1100×3600 | 3600×2050×1660 |
GZD-1300×3600 | 650 | 450-600 | 7.5×2 | 10-20 | 1300×3600 | 3900×2350×1750 |
GZD-1500×3600 | 1050 | 450-1000 | 7.5×2 | 10-20 | 1500×3600 | 3900×2000×1750 |
GZD-2000×3600 | 1200 | 550-1000 | 10×2 | 10-20 | 2000×3600 | 3600×2000×1750 |
GZD-2500×5000 | 1500 | 650-1500 | 18×2 | 10-20 | 2500×5000 | 5000×2500×1800 |
ZSW-380×95 | 500 | 100-180 | 11 | 0-10 | 3800×960 | 3920×1640×1320 |
ZSW-490×110 | 630 | 150-400 | 15 | 0-10 | 4900×1100 | 4980×1830×1320 |
ZSW-490×130 | 750 | 400-700 | 22 | 0-10 | 4900×1300 | 4980×2580×2083 |
ZSW-600×130 | 750 | 400-700 | 22 | 0-10 | 6000×1300 | 6082×2580×2083 |
ZSW-600×150 | 800 | 500-900 | 30 | 0-10 | 6000×1300 | 6086×2662×1912 |
ZSW-600×180 | 900 | 700-1300 | 45 | 0-10 | 6000×1500 | 6310×3262×2230 |
ZSW-600×200 | 1200 | 800-1500 | 55 | 0-10 | 6000×2000 | 6310×3462×2230 |
Model | Max. Feeding Size (mm) |
Processing Capacity (t/h) |
GZD-650×2300 | 300 | 80-100 |
GZD-750×2500 | 350 | 100-130 |
GZD-850×3000 | 400 | 120-150 |
GZD-1000×3600 | 500 | 150-200 |
GZD-1100×3600 | 580 | 240-300 |
GZD-1300×3600 | 650 | 450-600 |
GZD-1500×3600 | 1050 | 450-1000 |
GZD-2000×3600 | 1200 | 550-1000 |
GZD-2500×5000 | 1500 | 650-1500 |
ZSW-380×95 | 500 | 100-180 |
ZSW-490×110 | 630 | 150-400 |
ZSW-490×130 | 750 | 400-700 |
ZSW-600×130 | 750 | 400-700 |
ZSW-600×150 | 800 | 500-900 |
ZSW-600×180 | 800 | 700-1300 |
ZSW-600×200 | 1200 | 800-1500 |
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DetailsPDF Subject of propose an approach for solving machine learning classification problem that uses the information about the probability Find read and cite all the research you
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