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Systematic Assessment of the Two-Step, One-Way Coupled Method for Computational Fluid Dynamics
Luleå University of Technology, Sweden.
RISE Research Institutes of Sweden, Bioeconomy and Health, Biorefinery and Energy.
Luleå University of Technology, Sweden.
2023 (English)In: ASME Open Journal of Engineering, E-ISSN 2770-3495, Vol. 2, article id 021020Article in journal (Refereed) Published
Abstract [en]

Abstract This paper assesses the validity of the Two-Step, One-Way (TSOW) coupled method for computational fluid dynamics, which splits a complicated geometry into an upstream and a downstream part. The problem is solved in two steps: first, the upstream part using approximate downstream boundary conditions, followed by a solution of the downstream flow where the inlet boundary conditions are extracted from the upstream solution. The method is based on two assumptions: first, the solution for the upstream part should be identical in the common domain to a complete solution. Second, the solution for the downstream part should be identical in the common domain to a complete solution. The resulting agreement between the upstream solution and the full solution was excellent, except in the vicinity of the outflow boundary. For the assessment of the second assumption, the downstream flow was simulated with two sets of boundary conditions, one that was extracted from the full simulation, and one that came from the upstream part solution. The two solutions in the downstream geometry with slightly different boundary conditions agreed excellently with each other but exhibited small differences from the full solution. Overall, the difference to the full solution is judged to be acceptable for many engineering design situations. The solution time for the TSOW method was about 23 h faster than the full solution, which took about 85 h on the same hardware. For additional design iterations, where the same upstream geometry can be used, a 30-h gain would be obtained for each step.

Place, publisher, year, edition, pages
2023. Vol. 2, article id 021020
National Category
Vehicle Engineering
Identifiers
URN: urn:nbn:se:ri:diva-66593DOI: 10.1115/1.4062111OAI: oai:DiVA.org:ri-66593DiVA, id: diva2:1794996
Note

The simulations were performed on resources (Kebnekaise) provided by the Swedish National Infrastructure for Computing (SNIC) at High Performance Computing Center North (HPC2N) partially funded by the Swedish Research Council through grant agreement no. 2016-07213. The authors thank all the staff of HPC2N for their technical assistance. The financial support from the Swedish Biomass Gasification Centre SFC, which is funded by the Swedish Energy Agency and a consortium of companies through project number 34721-3, is acknowledged.

Available from: 2023-09-07 Created: 2023-09-07 Last updated: 2023-09-07Bibliographically approved

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