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<p>Severe erosion wear of deep-sea mining slurry pumps, primarily induced by impacts from mineral particles, presents a critical challenge to the sustainable development of subsea resources. This study aims to reduce impeller blade wear while maintaining the hydraulic performance of pump. A coupled approach employing the Reynolds-averaged Navier–Stokes (RANS) framework with the RNG k–ε model for the fluid and the discrete element method (DEM) for the particles, along with the Archard wear model, was used to simulate the solid–liquid two-phase flow and predict erosion wear. The impeller blade inlet angle, outlet angle, and wrap angle are selected as optimization variables, while blade erosion wear, pump head, and efficiency are defined as multi-objective functions. An orthogonal experimental design is applied to generate sample points, and a comprehensive frequency analysis method is used for multi-objective optimization. The results indicate that the optimized impeller design features a smaller blade inlet angle along with increased blade outlet and wrap angles. Performance evaluations show a 2.9% increase in pump head, a 3.0% improvement in efficiency, and a significant reduction in erosion wear. Specifically, the erosion area on the blade pressure side is notably reduced, with erosion at the inlet and outlet edges reduced by 15.4% and 4.3%, respectively. Overall, the total blade erosion wear is decreased by 23.5% compared to the original design. This study presents a novel integrated optimization framework that simultaneously enhances hydraulic performance and erosion resistance, providing valuable guidance for designing slurry pumps for deep-sea mining applications.</p>

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Multi-objective optimization for erosive wear in a deep-sea mining slurry pump

  • 期刊论文

  • 发表日期：

    2025年11月10日

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  • Minggao Tan,
  • Chen Shao,
  • Xianfang Wu,
  • Houlin Liu,
  • Yang Zhao,
  • Runan Hua

摘要

Severe erosion wear of deep-sea mining slurry pumps, primarily induced by impacts from mineral particles, presents a critical challenge to the sustainable development of subsea resources. This study aims to reduce impeller blade wear while maintaining the hydraulic performance of pump. A coupled approach employing the Reynolds-averaged Navier–Stokes (RANS) framework with the RNG k–ε model for the fluid and the discrete element method (DEM) for the particles, along with the Archard wear model, was used to simulate the solid–liquid two-phase flow and predict erosion wear. The impeller blade inlet angle, outlet angle, and wrap angle are selected as optimization variables, while blade erosion wear, pump head, and efficiency are defined as multi-objective functions. An orthogonal experimental design is applied to generate sample points, and a comprehensive frequency analysis method is used for multi-objective optimization. The results indicate that the optimized impeller design features a smaller blade inlet angle along with increased blade outlet and wrap angles. Performance evaluations show a 2.9% increase in pump head, a 3.0% improvement in efficiency, and a significant reduction in erosion wear. Specifically, the erosion area on the blade pressure side is notably reduced, with erosion at the inlet and outlet edges reduced by 15.4% and 4.3%, respectively. Overall, the total blade erosion wear is decreased by 23.5% compared to the original design. This study presents a novel integrated optimization framework that simultaneously enhances hydraulic performance and erosion resistance, providing valuable guidance for designing slurry pumps for deep-sea mining applications.