Intelligent Design Optimization System for Additively Manufactured Flow Channels Based on Fluid-Structure...

Area of Science:

• Computational Fluid Dynamics (CFD)
• Solid Mechanics
• Optimization Theory
• Expert Systems

Background:

• Traditional flow channel design lacks integrated fluid-structure interaction (FSI) analysis.
• Parametric modeling and additive manufacturing (DfAM) enable complex geometry generation.
• Efficient optimization requires intelligent allocation of computational resources.

Purpose of the Study:

• To develop an intelligent design optimization system for flow channels.
• To integrate fluid-structure interaction (FSI) analysis within the design loop.
• To improve the accuracy and efficiency of flow channel design optimization.

Main Methods:

• Parametric modeling for flow channels using design for additive manufacturing (DfAM).
• Expert system for intelligent allocation of computational fluid dynamics (CFD) models.
• Fluid-structure (FS) interface for transferring pressure-based normal stress.
• Metamodeling and gradient-based optimization for design space exploration and objective pursuit.

Main Results:

• A novel intelligent system integrating FSI for flow channel design optimization.
• Demonstrated improvement in FSI simulation accuracy and optimization process efficiency.
• Successful validation through the design optimization of a hydraulic manifold flow channel.

Conclusions:

• The proposed intelligent system effectively optimizes flow channel shapes by coupling fluid and solid domain analysis.
• The integration of expert systems and FSI enhances design process efficiency and simulation fidelity.
• The system provides a feasible and efficient approach for complex engineering design problems.