Numerical modelling of conjugate heat transfer in force convective flow environment using a combined boiling model (CBM)
• A novel CBM is developed for simulating wall boiling, flow evaporation/condensation, and CHT under forced convective conditions. • The model integrates a modified RPI wall boiling model with Lee’s evaporation and condensation model. • The CBM model shows high accuracy, validated by experimental data across different flow velocities and pressures. • It outperforms traditional models like the basic RPI, particularly in forced convective flow scenarios. • The study enhances multiphase heat transfer understanding, contributing to more efficient thermal management solutions. Subcooled flow boiling is a crucial heat transfer mechanism in which the fluid temperature exceeds its saturation point, leading to phase change. Computational Fluid Dynamics (CFD) is a powerful tool for investigating such phenomena. However, commonly used CFD wall boiling models, such as the Rensselaer Polytechnic Institute (RPI) model, may under-predict convective heat transfer in flow boiling conditions, do not account for conjugate heat transfer (CHT), and often fail to accurately capture vapour flow behaviour after vapour detachment. This study presents a new model, named the Combined Boiling Model (CBM) , which integrates CHT, wall boiling, and flow evaporation/condensation to improve predictive accuracy. Simulation results were compared against experimental data, demonstrating that the CBM accurately predicts heat transfer in channel flows with inlet velocities up to 1 m/s and heat fluxes up to 1.7 × 10⁶ W/m² .
Authors
- Jure Štrucl (ORCID: https://orcid.org/0009-0009-0388-7392)
- Jure Marn
- Matej Zadravec (ORCID: https://orcid.org/0000-0002-8749-8715)
Institutions
- University of Maribor (SI)
Publication Details
- Journal
- Results in Engineering
- Published
- 2025-04-16
- DOI
- https://doi.org/10.1016/j.rineng.2025.104958
- Citations
- 2
- Primary Topic
- Heat Transfer and Boiling Studies
- Type
- article
- Field-Weighted Citation Impact
- 1.43
Funders
- Javna Agencija za Raziskovalno Dejavnost RS