STREAM | Simulation of Turbulence and RoughnEss in Additive Manufactured parts

Summary
Additive manufacturing (AM) process offers tremendous gains over conventional subtractive manufacturing in heat exchanger design, key issue of thermal engine efficiency. The STREAM project aims at designing novel modeling strategies for the performance prediction of additive-manufactured heat exchangers. The consortium consists in two laboratories CNRS-CORIA and CNRS-LEGI, which have a long experience in high-fidelity multi-physics turbulent flow modeling and TEMISTh, a SME which develops customized solutions for heat exchangers. From the fluid dynamics point of view, AM often introduces important wall roughness, which depends strongly on the manufacturing process itself, and which impacts heat transfer and pressure loss across the device. It is therefore mandatory to design Computational Fluid Dynamics (CFD) models with a sufficient level of accuracy to predict the performances of heat exchangers. RANS (Reynolds-Averaged Navier-Stokes) and LES (Large-Eddy Simulation) are two complementary turbulence modeling approaches that are good candidates for such challenge. In these approaches, wall modeling often relies on statistical analysis, leading to law-of-the-wall models that are widely used in the prediction of internal flows. However, these models need to be extended and validated for wall roughness generated by additive manufacturing. To this aim, STREAM proposes to build a large database of high-fidelity roughness-resolving Large-Eddy Simulations that will be analyzed to derive well-parametrized statistical wall models. An original wall model parametrization will be used that has already been successfully adapted to heat transfers on a turbine blade. The resulting statistical model, usable in both roughness-modeled RANS and LES approaches, will be extensively validated a priori by comparison with the high-fidelity database and a posteriori on classical heat exchanger applications: Fuel-Cooled Oil Cooler, Air-cooled Oil cooler, Surface Air-cooled Oil cooler.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/865378
Start date: 01-10-2019
End date: 30-09-2022
Total budget - Public funding: 604 280,00 Euro - 604 280,00 Euro
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Original description

Additive manufacturing (AM) process offers tremendous gains over conventional subtractive manufacturing in heat exchanger design, key issue of thermal engine efficiency. The STREAM project aims at designing novel modeling strategies for the performance prediction of additive-manufactured heat exchangers. The consortium consists in two laboratories CNRS-CORIA and CNRS-LEGI, which have a long experience in high-fidelity multi-physics turbulent flow modeling and TEMISTh, a SME which develops customized solutions for heat exchangers. From the fluid dynamics point of view, AM often introduces important wall roughness, which depends strongly on the manufacturing process itself, and which impacts heat transfer and pressure loss across the device. It is therefore mandatory to design Computational Fluid Dynamics (CFD) models with a sufficient level of accuracy to predict the performances of heat exchangers. RANS (Reynolds-Averaged Navier-Stokes) and LES (Large-Eddy Simulation) are two complementary turbulence modeling approaches that are good candidates for such challenge. In these approaches, wall modeling often relies on statistical analysis, leading to law-of-the-wall models that are widely used in the prediction of internal flows. However, these models need to be extended and validated for wall roughness generated by additive manufacturing. To this aim, STREAM proposes to build a large database of high-fidelity roughness-resolving Large-Eddy Simulations that will be analyzed to derive well-parametrized statistical wall models. An original wall model parametrization will be used that has already been successfully adapted to heat transfers on a turbine blade. The resulting statistical model, usable in both roughness-modeled RANS and LES approaches, will be extensively validated a priori by comparison with the high-fidelity database and a posteriori on classical heat exchanger applications: Fuel-Cooled Oil Cooler, Air-cooled Oil cooler, Surface Air-cooled Oil cooler.

Status

CLOSED

Call topic

JTI-CS2-2018-CfP09-ENG-01-40

Update Date

27-10-2022
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Horizon 2020
H2020-EU.3. SOCIETAL CHALLENGES
H2020-EU.3.4. SOCIETAL CHALLENGES - Smart, Green And Integrated Transport
H2020-EU.3.4.5. CLEANSKY2
H2020-EU.3.4.5.5. ITD Engines
H2020-CS2-CFP09-2018-02
JTI-CS2-2018-CfP09-ENG-01-40 Turbulence modeling of heat exchangers and roughness impact