| Attribute | Details |
|---|---|
| Machine Type | Precious Metal Gold Refining Recycling Machine |
| Voltage | 380 V / 230 V |
| Power (kW) | 180 |
| Core Components | PLC, Engine, Motor, Gear |
| Warranty | 1 Year |
| Machinery Test Report | Provided |
| Video Outgoing-Inspection | Provided |
| Place of Origin | Henan, China |
| Weight | 1020 kg |
| Brand Name | WOLFU |
| Product Name | Precious Metal Refining Plant Ceramic CPU Gold Extracting Plant |
| Application | E-Waste Treatment, PCB Board, CPU, RAM, IC chips, Anode Mud |
| Final Product | Gold, Silver, Palladium, Platinum, Copper |
| Key Selling Points | Eco-Friendly, Automation, High Recovery Rate, High Purity |
| Recycle Rate | ≥99% |
| Purity | ≥99% (up to 99.99% after extraction) |
| Raw Material | Gold Plate Contained, CPU, RAM, IC Chips |
| Color | Customer’s Requirement |
Technical Parameters
| Model | Capacity | Power | Recycle Rate | Purity |
|---|---|---|---|---|
| 100 | 100 Kg/Day | 27 KW | ≥99% | ≥99% |
| 300 | 300 Kg/Day | 34.8 KW | ≥99% | ≥99% |
Product Details
The WOLFU Precious Metal Refining Plant is an automated system designed to recover and refine precious metals including **gold, silver, palladium, and platinum** from electronic waste such as CPUs, RAM, PCB boards, MLCC components, and memory cards. It features full automation, PLC control, and integrated modules including carbonization furnace, grinding, chemical leaching, and separation systems to maximize metal recovery while reducing environmental impact.
This plant adopts hydrometallurgical processes without cyanogens, ensuring a **safe and eco-friendly operation**. It achieves high efficiency, labor savings, and produces metals with purity up to **99.99%**. Ideal for e-waste recycling enterprises and industrial gold recovery.
RAW MATERIAL
Service & Support
- Full installation and commissioning support
- Remote technical assistance and video guidance
- Spare parts supply and maintenance support
- On-site training for operators to ensure safe and efficient use
- Customized workflow optimization for different e-waste materials
