How To Judge The Stability Of A Copper Wire Recycling Machine?

I. Core Performance Indicators: Sorting Efficiency and Copper Purity

Copper Recycling Without Damaging It: This is the most fundamental criterion. High sorting efficiency means less copper residue in the tailings (≤1%) and high copper particle purity (≥99%), ensuring profitability.

Testing Method: Run the machine continuously for 1-2 hours with material, collecting copper particles and plastic separately. Test the copper particle purity and calculate the recovery rate.

II. Mechanical Operation Stability

Vibration and Noise: Under full load, vibration amplitude should be ≤0.05mm, and noise should be ≤85dB(A).

Dynamic Balance Correction: The main shaft requires precise dynamic balancing to avoid long-term eccentricity leading to bearing or main shaft damage.

Load Stability: Under 30%-120% rated load, vibration, noise, temperature, and current should be stable without sudden changes.

III. System and Control Stability

Automation Level: Fully automatic models should be equipped with PLC intelligent control to achieve automatic feeding, overload protection, and fault self-diagnosis, reducing manual intervention.

Continuous Operation Capability: High-quality equipment can operate continuously for over 300 hours without failure.

IV. Durability and Maintenance Convenience

Lifespan of Wear Parts: Blades (50CrMoV or SKD-11 alloy steel, replace every 500 hours), screens (304 stainless steel, clean every 200-300 hours), bearings (double-row self-aligning roller bearings, grease every 40 hours).

Maintenance Convenience: The design should facilitate maintenance, such as easy replacement of blades and screens with open top and bottom compartments.

V. Stability Testing and Verification

No-load Test: Check whether each component operates smoothly and whether there is any abnormal noise or vibration.

Load Test: Feed at a uniform rate and observe whether it is smooth and whether there is any blockage or jamming.

Data Recording: Record test time, input raw material weight, output copper granules and plastic weight, machine operating current, voltage, etc.

Performance Calculation:

Processing Capacity = Output Copper Granule Weight / Test Time (kg/h).

Copper Recovery Rate = (Output Copper Granule Weight / Theoretical Weight of Copper in Input Raw Material) × 100%.