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Capturing mesoscale structures in multiphase CFD simulations
  • Swathi Ganesh,
  • Balivada Kumar,
  • Himanshu Goyal
Swathi Ganesh
Indian Institute of Technology Madras
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Balivada Kumar
Indian Institute of Technology Madras
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Himanshu Goyal
Indian Institute of Technology Madras

Corresponding Author:[email protected]

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Multiphase reactors’ performance depends on the mesoscale structures formed due to multiphase hydrodynamics. Examples of mesoscale structures include gas bubbles in a fluidized bed and particle clusters in a riser. Experimental investigation of these mesoscale structures is challenging and expensive. To this end, Computational Fluid Dynamics (CFD) simulations are extensively employed; however, post-processing CFD data to capture mesoscale structures is challenging. This work develops a DBSCAN-based methodology to capture and characterize mesoscale structures from multiphase CFD simulation data. DBSCAN is an unsupervised machine-learning algorithm, which requires the value of two hyperparameters. A simple technique to calculate these hyperparameters is provided and the performance of DBSCAN is assessed on CFD-DEM simulations of bubbling fluidized beds and particle clustering. We demonstrate the computational complexity of DBSCAN to be Ο(n log n), lower than the existing techniques, by testing its scalability on highly resolved grids (up to 100 million grid points).
24 Jul 2023Submitted to AIChE Journal
07 Aug 2023Submission Checks Completed
07 Aug 2023Assigned to Editor
07 Aug 2023Review(s) Completed, Editorial Evaluation Pending
11 Aug 2023Reviewer(s) Assigned
20 Sep 2023Editorial Decision: Revise Major
19 Oct 20231st Revision Received
23 Oct 2023Submission Checks Completed
23 Oct 2023Assigned to Editor
23 Oct 2023Review(s) Completed, Editorial Evaluation Pending
23 Oct 2023Reviewer(s) Assigned