Synergistic design method for MRE isolator combining extended-variable tri-phase topology and multi-objective parameter optimization

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Abstract
The design and optimization of magnetorheological elastomer (MRE) isolators fundamentally dictate their ultimate performance and application potential. Current methods are limited by over-reliance on designer’s personal experience or inability to concurrently optimize structural configuration and performance parameters. To address these limitations, this study proposes a synergistic design method for MRE isolator, combining extended-variable tri-phase topology optimization and multi-objective parameter optimization. The tri-phase method expands design variables from [0, 1] to [−1, 1], enabling simultaneous optimization of the excitation coil, magnetic circuit and air region without increasing dimensionality, thus yielding a lightweight configuration of MRE isolator. It overcomes the drawback of traditional optimization methods that require predefined of structural configurations. Based on the topological results, a parametric model is constructed, and a multi-objective optimization method (coupling NSGA-II genetic algorithm with finite element simulation) is developed to derive the Pareto frontier. This frontier resolves design trade-offs among the ‘magnetic field–energy consumption–lightweighting’ of MRE isolator. An optimal design is selected from the feasible solution space, achieving minimal mass while maintaining an 89th-percentile magnetic energy ratio. Experimental validation confirms the design’s adaptive vibration mitigation performance and manufacturability. This work establishes a systematic and scalable methodology that bridges empirical design and data-driven optimization, applicable to MRE isolators and other electromagnetic smart devices.
Funding Information
  • Scientific Research Foundation of Chongqing University of Technology (2022ZDZ005)
  • Natural Science Foundation of Chongqing Municipality (CSTB2022NSCQ-MSX0933)
  • Science and Technology Foundation of Chongqing Education Commission (KJQN202201144)
  • National Natural Science Foundation of China (52205088)

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