2025-07-17

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Specifics of "Algorithm for Analyzing Transmission Characteristics and Structural Optimization of Cartridge-type Permanent Magnet Coupling"

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      The research of “Algorithm for Analysis of Transmission Characteristics and Structural Optimization of Cylindrical Permanent Magnet Couplings” revolves around the design and performance optimization of permanent magnet couplings, with the core focus on solving the structural, anti-misalignment load and performance evaluation problems of traditional products. As follows:

      I. Background and Problems of the Research

      The traditional permanent magnet couplings have the problems of:

      • Complicated structure (cumbersome assembly and high cost)

      • Weak anti-deviation load (radial offset affects the stability)

      • Low efficiency of performance evaluation (finite element simulation takes 2 hours and the traditional analytical method has large error)

      For this reason, the team designed a new type of cylinder configuration and proposed an equivalent magnetic charge magnetic circuit analysis algorithm.

      II. New Structure Design

      1. Self-absorbing assembly structure
        Trapezoidal magnets and wedge-shaped slots are designed to utilize magnetic force for automatic positioning and simplify assembly.

      2. Adsorption-repulsion composite configuration
        Through the synergy of absorption and repulsion forces, the radial bias load peak is reduced by 48.59% compared with the traditional configuration, and the bias load resistance is improved.

      III. Analysis Algorithm and Modeling

      1. Equivalent magnetic charge magnetic circuit analysis method
        The permanent magnet is equivalent to a magnetic charge and an analytical model is established, which shortens the calculation time from 2 hours to 2 minutes and reduces the torque calculation error by 50% compared with simulation.

      2. Multi-parameter analysis
        This studies the influence of parameters such as pole pairs, permanent magnet thickness, and others on transmission characteristics. For example:

      • Increasing permanent magnet thickness can enhance field strength, but must balance eddy current losses.

      • Optimizing air gap thickness can improve torque transfer efficiency.

      IV. Simulation and Experimental Verification

      1. Simulation setup
        Simulations compare the performance of two configurations under:

      • Relative deflection (0°–45°)

      • Radial offset (−3.8 mm to +3.8 mm)

      1. Experimental results

      • The error between analytical results and experimental data is ≤5%

      • At 3.8 mm radial offset, the maximum force of the repulsion-absorption composite structure is only 51.41% of the traditional structure

      • In an application case at a steel company's dedusting fan system, the new design reduced energy consumption by 9.6%, saving 830,000 yuan annually

      V. Key Innovations

      1. Improved equivalent magnetic charge method
        Establishing a 3D magnetic circuit model combining efficiency and precision while avoiding high simulation costs.

      2. Multi-physical field coupling analysis
        By considering magnetic, mechanical, and eddy current fields together, designers can optimize the magnetic circuit. For example, adjusting the copper sleeve thickness increased the torque-to-loss ratio by 8.87%.

      VI. Conclusion and Application

      • The new configuration resolves the structural and anti-bias load limitations of traditional couplings.

      • The analytical algorithm proves both efficient and accurate.

      • The composite configuration demonstrates significant energy-saving potential.

      • Recommendations include parameter optimization based on load and real-time sensor monitoring to prevent demagnetization and overload risks.

      VII. Significance and Prospect

      This research provides a full-process optimization framework for the design of permanent magnet couplings and supports their expanded use in fields such as wind energy, metallurgy, and chemical processing.

      Future directions include:

      • Integration with intelligent control systems (e.g., torque prediction via machine learning)

      • Use of new-generation permanent magnet materials (e.g., NdFeB)
        to enhance power density, reliability, and system intelligence.

      http://www.magicmag-tech.com
      SHANGHAI GAOLV E&M Technology Co.,Ltd.

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