Speaker
Description
During vacuum commissioning and operation of large superconducting accelerators, gas flow may induce the dust particle within pipelines, causing intolerable particulate contamination in superconducting radio frequency (SRF) cavities. Investigating the transport behavior of microscale solid particles within accelerator pipelines is critical for understanding and solving particulate contamination problems in superconducting accelerators.
Computational fluid dynamics (CFD) methods with proper conditions can accurately predict particle behavior in gas flows. We developed our own OpenFOAM solver and case setup to systematically investigate the transport and deposition behavior of micron- and submicron-scale particles in long straight pipelines. Initially, we simulated gas flows in a sufficiently long straight circular pipe with different inlet velocity for an extended duration to obtain fully developed velocity profiles. These velocity profile were then applied as boundary conditions at both the inlet and outlet to maintain fully developed flow conditions within the computational domain during the simulation. Building upon this foundation, we thoroughly investigated the influence of three key operational parameters—gas flow rate, pressure, and particle size on the behavior of the test particle in pipelines. These findings can offer valuable insights and references for controlling particle contamination issues in SRF cavities.
Funding Agency
National Natural Science Foundation of China under Grant 12375161, Youth innovation promotion association CAS under Grant 2023017
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