Numerical Optimization Simulation of Synchronous Four-Wing Rotor.

Area of Science:

• Materials Science
• Mechanical Engineering
• Computational Fluid Dynamics

Background:

• The rubber industry widely uses batch mixers, with rotor design critically impacting mixing efficiency.
• Current rotor design relies heavily on empirical methods and practical experience, lacking systematic optimization.
• Improving mixer performance necessitates advanced approaches to rotor structure design.

Purpose of the Study:

• To develop and validate a method for optimizing rubber mixer rotor structures.
• To enhance the mixing effect of batch mixers through computational optimization.
• To provide a data-driven approach for the design and development of mixer rotors.

Main Methods:

• Utilized numerical simulation technology combined with optimization algorithms.
• Developed parametric design programs for synchronous rotors in MATLAB.
• Implemented the particle swarm optimization (PSO) algorithm with a global distribution index as the fitness function.

Main Results:

• Successfully optimized the synchronous rotor configuration using PSO.
• Comparative analysis demonstrated the feasibility and reliability of the optimization process.
• Achieved improved mixing performance compared to empirically designed rotors.

Conclusions:

• The proposed method of combining optimization algorithms and numerical simulation is effective for mixer rotor design.
• Optimized rotor structures offer enhanced mixing efficiency in rubber batch mixers.
• This research provides a novel, reliable approach for the future design and development of mixer rotors.