Reliability optimization of process parameters for marine diesel engine block hole system machining using improved...

Area of Science:

• Mechanical Engineering
• Manufacturing Processes

Background:

• Marine diesel engine block quality is critical for performance.
• Machining accuracy depends on optimal process parameters.
• Parameter fluctuations reduce reliability and accuracy.

Purpose of the Study:

• To establish a reliability optimization model for cylinder hole processing parameters.
• To determine the optimal combination of process parameters for improved accuracy.
• To enhance the working performance of marine diesel engine blocks.

Main Methods:

• Radial Basis Function (RBF) method to model cylinder hole verticality against process parameters (cutting speed, depth of cut, feed rate).
• Monte Carlo simulation to set process reliability constraints.
• Development of an improved particle swarm algorithm for model optimization.

Main Results:

• A reliability optimization model for cylinder hole processing parameters was established.
• The improved particle swarm algorithm successfully solved the model.
• The global optimal combination of process parameters was obtained within a stable region.

Conclusions:

• Optimized process parameters significantly improve cylinder hole accuracy and reliability.
• The developed model and algorithm offer a robust approach for enhancing diesel engine block manufacturing.
• Achieving optimal parameters is crucial for ensuring the working performance of marine diesel engines.