Topology-Optimized Coil Mounting Seat for Multi-Mode Maglev Loads
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Solution Overview
Problem
Existing technologies lack an optimization solution for a coil mounting seat that simultaneously meets installation and load-bearing requirements for suspension and vibration excitation coils in static suspension, as well as traction and zero-flux figure-8 coils in dynamic suspension for high-temperature superconducting electrodynamic suspension trains.
Innovation Solution
A method and apparatus for topology optimization of a coil mounting seat, involving the determination of initial design regions, calculation of electromagnetic forces, and application of a topology optimization model to optimize the design based on density of units and compliance constraints, ensuring the seat meets all installation and load-bearing requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a coil mounting seat is designed to meet installation and load-bearing requirements for multiple coils in different suspension modes, then the structural complexity increases, but no optimization solution exists in related technology
Solution Approach 1:
The design region is divided into multiple sub-regions corresponding to different coil installation positions (static suspension coils, vibration excitation coils, traction coils, and zero-flux figure-8 coils). Each sub-region is optimized independently based on its specific load-bearing requirements, allowing the mounting seat to adapt to multiple coil configurations without requiring a completely complex integrated design.
Solution Approach 2:
Different regions of the mounting seat are assigned different material densities and structural properties based on their specific functional requirements. The topology optimization model applies different electromagnetic force loads to different regions, creating local structural variations that optimize each area for its specific coil installation and load-bearing needs while maintaining overall adaptability.
2Loss of substance
If topology optimization is applied to reduce material consumption, then cost decreases, but ensuring load-bearing capacity across all suspension modes becomes more challenging
Solution Approach 1:
The topology optimization model uses density of units as the design variable, systematically varying material distribution parameters across different regions. By changing material density parameters based on local stress and electromagnetic force requirements, the design achieves minimal material consumption while maintaining sufficient load-bearing capacity for all suspension modes through computationally optimized material placement.
Solution Approach 2:
The optimization process pre-calculates the optimal material distribution and structural configuration before manufacturing by simulating electromagnetic forces and load-bearing requirements for all suspension modes. This preliminary optimization ensures that the final design achieves maximum strength-to-weight ratio, eliminating unnecessary material while guaranteeing load-bearing capacity across all operational scenarios.
3Manufacturing precision
If electromagnetic forces are calculated and applied to different regions for optimization, then design precision improves, but calculation and analysis time increases
Solution Approach 1:
The calculation process is segmented by dividing the design region into multiple sub-regions, each corresponding to specific coil installations. Electromagnetic forces are calculated and applied independently to each sub-region based on its specific configuration (static suspension, vibration excitation, traction, or zero-flux figure-8 coils). This segmentation allows parallel computation and reduces overall calculation time while maintaining high design precision through region-specific optimization.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The optimized coil mounting seat design effectively supports the installation and load-bearing needs for all coils, reducing material consumption and cost while ensuring product performance and quality, laying a foundation for engineering applications of high-temperature superconducting electrodynamic suspension trains.
Implementation Method 1
calculating, during static suspension, a primary transmission interface position and a range of an electromagnetic force in the initial design region based on a vertical displacement between centerlines of a static suspension coil or a vibration excitation coil and a superconducting magnet
Data Source
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AI summary
A topological optimization method, apparatus and device for a coil mounting seat. The method comprises: marking a single-side U-shaped track area of a high-temperature superconducting electrodynamic suspension Maglev train as an initial design domain; performing calculation to obtain a main transmission interface position and range of an electromagnetic force in the initial design domain during static suspension, and recording same as a first area; performing calculation to obtain a main transmission interface position and range of an electromagnetic force in the initial design domain during electrodynamic suspension, and recording same as a second area; under a target working condition, calculating an electromagnetic force between a static suspension coil, an excitation coil, and a superconducting magnet during the static suspension, and applying the calculation result to the first area; calculating an electromagnetic force between a traction coil, a figure-8 coil, and a superconducting magnet during the electrodynamic suspension, and applying the calculation result to the second area; and using a topological optimization model to optimize the initial design domain, and using the optimization result as a target coil mounting seat.