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Topology optimization of the conductive track of an electrodynamic suspension for MAGLEV trains
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Derneden_53951900_2024.pdf
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- The growing demand for efficient and sustainable transportation systems, driven by the necessity for faster and more affordable travel, highlights the critical need for innovative technological solutions. Magnetic levitation (MAGLEV) technology, with its potential for high-speed travel combined with minimal environmental impact, emerges as a promising answer to these global challenges. This thesis presents a comprehensive approach to the topology optimization of conductive tracks for Electrodynamic Suspension (EDS) systems in MAGLEV trains, aiming to enhance performance while reducing material costs. Central to this research is the development of advanced mathematical models based on equivalent electrical circuits, designed to accurately simulate the complex electromagnetic interactions inherent in Permanent Magnet Electrodynamic Suspension (PM-EDS) systems. These models, which include simplified and advanced plate models, were rigorously validated against Finite Element Method (FEM) simulations, demonstrating their capability to predict the behavior of the system under various operational conditions. The validated models serve as a robust foundation for the exploration and optimization of track topologies. The study leverages density-based topology optimization techniques to explore innovative configurations of the conductive tracks. The primary objective of this optimization is to improve the Lift-to-Drag ratio (LDR), a key performance metric, and minimize material usage. The optimization results underscore the potential of novel track designs that could achieve significant improvements in performance, efficiency and cost. The research also investigates intuitive topologies inspired by obtained results and prior knowledge. These intuitive designs provide complementary elements to potentially enhance the Topology Optimization (TO) results. This work contributes to the advancement of MAGLEV technology by providing a detailed framework for the optimization of conductive tracks. The findings offer valuable pathways to developing more efficient and cost-effective high-speed rail systems, with the potential to impact the future of transportation.