The design of container ship propellers must balance specific requirements, such as high speed, high efficiency, and route adaptability. This paper systematically analyzes the key design parameters and matching methods of modern container ship propellers, with a particular focus on exploring critical technologies—including cavitation control under high-speed operating conditions and the optimization of ship-engine-propeller matching. Research findings indicate that adopting a 5- to 6-bladed propeller featuring a large diameter, high skew angle, and rake design can effectively enhance the propulsion efficiency of container ships while mitigating vibration and noise. Furthermore, the paper details the complete design workflow, spanning from requirement analysis to test validation, and outlines the future development trends of energy-saving and environmentally friendly propellers.
1.Introduction
As the backbone of modern maritime transportation, container ships are characterized by high speed, strict scheduling , and large carrying capacity.According to statistics, the global container fleet exceeds 5,000 vessels, and their propeller design directly impacts the operational economy and environmental performance of ships. Compared to conventional cargo ships, the design of container ship propellers faces three major challenges:cavitation issues induced by high speed, matching requirements for high-power main engines, and performance balance under varying loading conditions. An optimally designed propeller can improve propulsion efficiency by 5-8%, potentially saving millions of dollars in annual fuel costs per vessel.

2. Design Characteristics of Container Ship Propellers
2.1 Typical Operating Condition Features
- Speed Range:
- Feeder vessels: 16–20 knots
- Trunk ships: 20 – 25 knots
- Ultra – large ships: 18 – 22 knots
- Loading Variations:
- Full – load draft: 12 – 16 meters
- Light – load draft: 8 – 10 meters
- Draft variation rate: 30 – 40%
2.2 Key Design Priorities
- Cavitation Control
- Vibration Suppression
- Multi-condition Adaptability
- High-power Matching
3. Analysis of Key Design Parameters
3.1 Diameter Design
Typical Parameter Ranges:
- 5,000 TEU class: 6.5–2 meters
- 10,000 TEU class: 7.8–5 meters
- 20,000 TEU class: 9.0–0 meters
Design Considerations:
- Maximize diameter to enhance propulsion efficiency
- Account for stern line shape constraints
- Ensure sufficient submergence depth
3.4 Number of Blades Configuration
Basis for Selection:
- 4Blades:
- Efficiency: High
- Vibration: High
- Application: Suitable for small – sized ships
- 5Blades:
- Balance: Good
- Status: Mainstream choice
- Application: Suitable for medium – sized ships
- 6Blades:
- Vibration: Low
- Efficiency: Slightly low
- Application: Suitable for large – sized ships
3.2 Selection of Blade Area Ratio
Optimization range of BAR:
- Conventional design:55-0.70
- High-load design:65-0.75
- Latest trend: Adoption of non-uniform disk area ratio distribution
3.5 Skew Design
Latest Technologies:
- Asymmetric Skew
- Variable-Angle Skew
- Three-Dimensional Twisted Skew
- Typical skew angle: 35–50°
3.3 Material Selection
Performance Comparison:
- Nickel-Aluminum Bronze:
- Corrosion resistance: Excellent
- Cavitation erosion resistance: Good
- Cost: Medium
- Stainless Steel:
- Strength: Excellent
- Cavitation erosion resistance: Excellent
- Cost: High
- Composite Materials:
- Weight: Light
- Noise: Low
- Reliability: To be verified
4. Ship-Engine-Propeller Matching Technology
4.1 High-Power Matching
Typical Configurations:
- Main Engine Power:
- 8000TEU:40-50MW
- 14000TEU:50-60MW
- 20000TEU:60-80MW
- Speed Matching:
- Direct drive:70-90rpm
- Geared Drive:90-120rpm
4.2 Cavitation Control Technologies
- Tip Unloading Design
- Pressure Distribution Optimization
- Application of Skewed Blades
- Shroud Improvement
4.3 Energy-Saving Devices
- Rudder Bulb System
- Flow Deflector Fins
- Pre-Swirl Stators (Forward of Propeller)
- Combined Energy-Saving Devices
5. Design Process Optimization
5.1 Modern Design Process
- Multi-Objective Optimization Phase:
- Parametric Modeling
- Multi-Condition Analysis
- Pareto Frontier Solution
- Digital Twin Application:
- Real-Time Performance Monitoring
- Fault Early Warning
- Maintenance Optimization
5.2 Test Validation
- Cavitation Tests:
- Observation of cavitation morphology
- Measurement of pulsating pressure
- Evaluation of noise levels
- Self-Propulsion Tests:
- Determination of propulsion efficiency
- Verification of maneuverability
- Vibration testing
6. Case Study
6.1 14000TEU Container Ship
- Project Features:
- Length overall (LOA): 368 meters
- Main engine power: 55 MW
- Design speed: 22 knots
- Propeller Solution:
- Type: 5-bladed high-skew propeller
- Diameter: 8.2 meters
- Blade Area Ratio (BAR): 0.68
- Skew angle: 45°
- Energy-saving devices: Rudder bulb + Flow deflector fins
6.2 24000TEU Ultra-Large Container Ship
- Innovative Designs:
- Hybrid-Material Propeller
- Active Control Blades
- Intelligent Monitoring System
- Air Curtain Drag Reduction Technology
7. Future Trends
7.1 Technological Innovation
- Intelligent Propeller:
- Shape memory alloy
- Real-time controllable pitch technology
- Self-optimizing system
- Green Technologies:
- Low-noise Design
- Bio-inspired Blade Design
- Renewable Energy Integration
7.2 Design Methods
- Quantum Computing-Aided Design
- Full-Parameter Optimization
- Virtual Reality Validation
8. Conclusion
The design of container ship propellers requires the integrated application of multidisciplinary knowledge, including fluid mechanics, materials science, and intelligent control. By optimizing key parameters, innovating structural designs, and applying energy-saving technologies, ship performance can be significantly enhanced. Recommendations are as follows:
- Strengthen multidisciplinary collaborative design
- Deepen the application of digital technologies
- Focus on full-life-cycle management
- Promote intelligent development
Practice has shown that the adoption of the design methodology presented in this paper can improve propeller efficiency by 6-10% and reduce vibration and noise by 15-20%, delivering significant economic and social benefits.


