In practical hydraulic system maintenance, repairing a gear pump is not simply about replacing damaged parts. A scientific repair strategy ensures performance recovery, safety, and long service life. Below are the professional principles followed in industrial maintenance.
1. Replace as a Matched Pair Principle
Gears, bearings, and wear plates must be evaluated as matched components.
✔ If one gear is severely worn, replace both gears
✔ If one bearing fails, inspect and replace the paired bearing
✔ Avoid mixing new and heavily worn components
Reason: Gear pumps rely on precise internal clearance. Partial replacement may cause uneven load and accelerated wear.
2. Clearance Control First
Gear pump performance depends on:
• Radial clearance
• Axial clearance
• End-face clearance If wear exceeds allowable tolerance, components must be replaced — not repaired by grinding excessively.
✔ Measure with precision tools
✔ Follow manufacturer tolerance standards
✔ Avoid arbitrary polishing or machining
3. Seal Components: Replace, Do Not Reuse
All sealing parts should be replaced during repair:
• Shaft seals
• O-rings
• Gaskets Even if visually intact, seals may have:
• Elastic fatigue
• Hardening
• Micro-cracks Replacing seals ensures leak-free reassembly.
4. Housing Inspection Principle
The pump housing is critical. If internal scoring, cavitation damage, or deep grooves exist:
✔ Minor scratches → fine polishing allowed
✔ Severe scoring → housing replacement required Excessive repair machining may increase internal leakage.
5. Bearing & Shaft Evaluation Principle
Check for: Shaft bending / Surface pitting / Bearing clearance increase If shaft runout exceeds standard → Replace shaft If bearing noise or roughness appears → Replace bearing Never reuse damaged bearings.
6. Do Not Repair Beyond Economic Value
If multiple core components are worn: Gear set / Housing / Shaft / Bearings It may be more economical and reliable to replace the entire pump. Industrial maintenance must balance:
✔ Technical feasibility
✔ Cost efficiency
✔ System reliability

