4.6 Article

A rapid performance prediction method for Two-Phase liquid metal MHD generators based on Quasi-One-Dimensional model

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DOI: 10.1016/j.tsep.2023.102258

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Liquid metal magnetohydrodynamic; Quasi-one-dimensional method; Multiphase flow; Power generation; Optimal design

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This study develops a quasi-one-dimensional modeling method for LMMHD power generation channels based on a two-fluid model. The performance variation laws with the geometric structure, magnetic field, and boundary conditions are investigated. Results show that optimal or appropriate designs can be achieved by optimizing the channel geometry and magnetic field. However, balancing power output and efficiency through boundary condition optimization is challenging. Gas-liquid slip is the main cause of energy losses, making the elimination and suppression of slip effects a significant research focus.
Liquid metal magnetohydrodynamic (LMMHD) power generation is a novel and highly efficient technology with broad application prospects. In our previous study, a novel LMMHD enhanced Closed-Brayton-Cycle power generation system for hypersonic vehicles was proposed, and its excellent power generation performance was demonstrated by thermodynamic analysis. The most important component of LMMHD system is the power generation channel, and the rapid and accurate performance prediction and optimization design methods of which are the prerequisites for further research. In this study, a quasi-one-dimensional modeling method for LMMHD power generation channels based on a two-fluid model is developed. The performance variation laws with the geometric structure, magnetic field and boundary conditions, as well as the potential loss mechanisms are investigated. Results indicate that the most optimal or appropriate design can be achieved by optimizing the channel geometry and magnetic field, such as the optimal aspect ratio of 1 and the optimal Hartmann number of 2000. But it is difficult to balance the power output and efficiency through the boundary condition optimization. The gas-liquid slip can lead to approximately 20-40% of energy losses, making the elimination and suppression of slip effects a significant research focus in the relevant field.

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