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The recycling of spent lead-acid batteries, typically performed in secondary lead reverberatory furnacesReverberatory furnace, is an energy-intensive process. Internal process behaviors such as the movement of the lead burden can strongly influence productivity and furnace reliability. Experimenting with live process parameters is costly and risky to the operation, so optimization of the process using computational modeling is an increasingly common approach. In this study, a CFDComputational Fluid Dynamics (CFD) simulation of a reverberatory furnaceReverberatory furnace is created with additional user-defined functions to model melting of the burden material. The melting logic incorporates externally-imported point clouds using dynamic linked lists to enable creation and destruction of burden material. Each point retains information external to the numerical grid, such as composition. A transient simulation with burden melting shows the deformation of the burden shape during heating and is compared against prior static burden shapes and heating profiles.

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Modeling Dynamic Burden Behavior in a Secondary Lead Reverberatory Furnace Using Computational Fluid Dynamics

  • 会议论文

  • 发表日期：

    2025年

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  • Nicholas J. Walla,
  • Zachary Holmes,
  • Misbahuddin H. Syed,
  • Armin K. Silaen,
  • Jason Schirck,
  • Alexandra Anderson,
  • Joseph Trouba,
  • Joseph Grogan,
  • Chenn Q. Zhou

摘要

The recycling of spent lead-acid batteries, typically performed in secondary lead reverberatory furnacesReverberatory furnace, is an energy-intensive process. Internal process behaviors such as the movement of the lead burden can strongly influence productivity and furnace reliability. Experimenting with live process parameters is costly and risky to the operation, so optimization of the process using computational modeling is an increasingly common approach. In this study, a CFDComputational Fluid Dynamics (CFD) simulation of a reverberatory furnaceReverberatory furnace is created with additional user-defined functions to model melting of the burden material. The melting logic incorporates externally-imported point clouds using dynamic linked lists to enable creation and destruction of burden material. Each point retains information external to the numerical grid, such as composition. A transient simulation with burden melting shows the deformation of the burden shape during heating and is compared against prior static burden shapes and heating profiles.