Numerical study on the electromagnetic force control of the flow based on an advanced parallel adaptive technology

Developing a technology that can reduce drag and oscillations on objects in a flowing fluid has been a long dream of researchers. Here, a parallel adaptive-grid algorithm for capturing the flow field is adopted to construct an electromagnetic force solver. Based on this solver, the impact of different Reynolds numbers (Re) and computational domain sizes on the vortex structure distribution is investigated in detail. Grid-adaptive criteria for capturing the flow details based on multiple physical quantities are studied to increase the numerical accuracy and improve the calculation efficiency. Numerical simulations of the flow around a bluff body are performed for different Re to establish the effect of the Lorentz force on the flow. By introducing this parallel adaptive-grid algorithm, the number of grids and computing resources is considerably reduced. In addition, parallel algorithms that can realize multi-threaded dynamic load balancing and further reduce the length of computational cycles.

• Record URL:
  • https://doi.org/10.1080/17445302.2023.2228632
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/17445302
• Supplemental Notes:
  • © 2023 Informa UK Limited, trading as Taylor & Francis Group. Abstract reprinted with permission of Taylor & Francis.
• Authors:
  • Pang, Haixiang
  • You, Yunxiang
  • Chen, Ke
• Publication Date: 2024-8

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 1134-1145
• Serial:
  • Ships and Offshore Structures
  • Volume: 19
  • Issue Number: 8
  • Publisher: Taylor & Francis
  • ISSN: 1744-5302
  • Serial URL: http://www.tandfonline.com/tsos20

Subject/Index Terms

• TRT Terms: Adaptive control; Bluff bodies; Drag forces; Electromagnetic fields; Flow fields; Vortices
• Subject Areas: Hydraulics and Hydrology; Marine Transportation; Terminals and Facilities;

Filing Info

• Accession Number: 01931430
• Record Type: Publication
• Files: TRIS
• Created Date: Sep 19 2024 4:59PM