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Fully automated CFD simulation system research based on design scheme tree.

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Computational fluid dynamics (CFD) flow channel design needs improvement. This study presents an automated CFD simulation system using a design scheme tree and trend analysis for efficient, mesh-independent candidate ranking.

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Area of Science:

  • Engineering
  • Computational Science

Background:

  • Computational fluid dynamics (CFD) has advanced significantly but lacks integrated geometry and mesh processing for complex applications.
  • The development of advanced CFD applications in flow channel design is hindered by current limitations.

Purpose of the Study:

  • To present the JIACFD toolset and establish a fully automated CFD simulation system.
  • To introduce a control parameter trend analysis method for efficient design candidate selection.
  • To improve the efficiency and applicability of CFD in flow channel design.

Main Methods:

  • Development of a fully automated CFD simulation system built on a design scheme tree.
  • Implementation of a control parameter trend analysis method for candidate selection.
  • Verification using a study case, including Spearman method for trend assumption validation and analysis of mesh-independent ranking.

Main Results:

  • The JIACFD toolset enables a fully automated CFD simulation system.
  • The control parameter trend analysis method effectively ranks design candidates.
  • Verification confirmed that candidate ranking is independent of mesh quantity, with some parameters showing convergence or correlating trends.

Conclusions:

  • The presented automated CFD system, design scheme tree, and trend analysis method enhance flow channel design.
  • The control parameter trend assumption improves system efficiency.
  • The established system shows potential for a critical role in engineering performance design.