Topology optimization of two-fluid turbulent heat exchangers: A Darcy flow-based multifidelity approach
Hiroki Kawabe, Kaito Ohtani, Kentaro Yaji, Ryota Fukunishi, Akira Ogawara

TL;DR
This paper introduces a multifidelity topology optimization method for two-fluid turbulent heat exchangers, combining low- and high-fidelity models to design efficient, high-performance heat exchange structures.
Contribution
The paper develops a calibrated Darcy flow-based low-fidelity model integrated into a multifidelity optimization framework for turbulent heat exchanger design.
Findings
Optimized designs achieved up to 22% higher performance evaluation criterion (PEC).
Designs enhanced heat transfer while controlling pressure drops.
Multifidelity approach effectively balances accuracy and computational efficiency.
Abstract
This paper presents a topology optimization method for designing two-fluid heat exchangers under turbulent conditions using a Darcy flow-based low-fidelity (LF) model. The LF model is calibrated against a high-fidelity (HF) model based on the Reynolds-averaged Navier-Stokes (RANS) equations to increase the accuracy of predictions for fluid flow and heat transfer characteristics. Since the discrepancies between the LF and HF models can be significant, particularly for pressure drops, a multifidelity topology optimization framework is adopted to leverage the strengths of both models. Using the calibrated LF model, we perform topology optimization for various inlet velocities in the boundary conditions and trade-off parameters in the objective function to obtain diverse optimized designs. The optimized designs are then evaluated using the HF model to assess their performance with higher…
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