Adjoint shape optimization coupled with LES-adapted RANS of a U-bend duct for pressure loss reduction

Alessi, Giacomo; Verstraete, Tom; Koloszar, Lilla; Blocken, Bert; Beeck, J. P. A. J. van

doi:10.1016/j.compfluid.2021.105057

Cited by 7 publications

(7 citation statements)

References 47 publications

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“…However, the sensitivity information is difficult to obtain in complex flow scenarios, which in turn results in a high computational cost. [29].…”

Section: Fsi-based Design Optimizationmentioning

confidence: 99%

Intelligent Design Optimization System for Additively Manufactured Flow Channels Based on Fluid–Structure Interaction

Zou

et al. 2022

Micromachines

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Based on expert system theory and fluid–structure interaction (FSI), this paper suggests an intelligent design optimization system to derive the optimal shape of both the fluid and solid domain of flow channels. A parametric modeling scheme of flow channels is developed by design for additive manufacturing (DfAM). By changing design parameters, a series of flow channel models can be obtained. According to the design characteristics, the system can intelligently allocate suitable computational models to compute the flow field of a specific model. The pressure-based normal stress is abstracted from the results and transmitted to the solid region by the fluid–structure (FS) interface to analyze the strength of the structure. The design space is obtained by investigating the simulation results with the metamodeling method, which is further applied for pursuing design objectives under constraints. Finally, the improved design is derived by gradient-based optimization. This system can improve the accuracy of the FSI simulation and the efficiency of the optimization process. The design optimization of a flow channel in a simplified hydraulic manifold is applied as the case study to validate the feasibility of the proposed system.

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“…However, the sensitivity information is difficult to obtain in complex flow scenarios, which in turn results in a high computational cost. [29].…”

Section: Fsi-based Design Optimizationmentioning

confidence: 99%

Intelligent Design Optimization System for Additively Manufactured Flow Channels Based on Fluid–Structure Interaction

Zou

et al. 2022

Micromachines

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“…Alessi et al [1] have fitted a frozen RANS eddy-viscosity to match a time-averaged LES solution and used the RANS adjoint to optimise the shape of the VKI U-Bend [2]. They recompute the LES after every design step, which indicates that while the LES flowfield can be matched with frozen turbulence, gradient accuracy is too poor for effective shape optimisation.…”

mentioning

confidence: 99%

LES-aided shape optimization of U-Bend channel

Quadros¹,

Mueller²

2022

8th European Congress on Computational Methods in Applied Sciences and Engineering

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“…The simulation was performed on a Reynolds Averaged Navier Stokes (RANS) model, while using adjoint methods to perform the optimization. Later, Alessi et al [30] also performed a shape optimization of a similar U-shaped duct. The simulation was initially performed using RANS model, and then a Large Eddy Simulation (LES) was used to resolve large unsteady turbulent structures and used as a means for a quasi-experimental validation [30].…”

Section: Shape Optimizationmentioning

confidence: 99%

“…Later, Alessi et al [30] also performed a shape optimization of a similar U-shaped duct. The simulation was initially performed using RANS model, and then a Large Eddy Simulation (LES) was used to resolve large unsteady turbulent structures and used as a means for a quasi-experimental validation [30]. Ghosh et al [31].…”

Section: Shape Optimizationmentioning

confidence: 99%

Thermo-Elastic mechanics of Morphing Lattice Structures with Application in Shape Optimization of BLI Engine Intakes

Rajakareyar

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The boundary layer ingesting (BLI) engine configuration has been theoretically proven to reduce fuel burn compared to conventional engine configuration. This reduced fuel burn, can be potentially offset by reduced stability and efficiency of the fan stages due to the distorted flow. This thesis presents a novel shape morphing strategy of a BLI engine's duct employing 3D lattice materials. The aircraft's intake engine duct morphs from an ideal shape with minimized flow distortion to a shape that optimizes pressure recovery. The duct was modeled using bi-material lattices with varying elastic, thermal conductivity, and thermal expansion properties. The lattices and the external thermal boundary were varied functionally while subjected to convective and aerodynamic boundary conditions. The shape morphing was achieved which targeted radial expansion of the ducts where majority of the duct sections are morphed to a shape that is within 1% of the duct diameter of the targeted optimum shape.

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Adjoint shape optimization coupled with LES-adapted RANS of a U-bend duct for pressure loss reduction

Cited by 7 publications

References 47 publications

Intelligent Design Optimization System for Additively Manufactured Flow Channels Based on Fluid–Structure Interaction

Intelligent Design Optimization System for Additively Manufactured Flow Channels Based on Fluid–Structure Interaction

LES-aided shape optimization of U-Bend channel

Thermo-Elastic mechanics of Morphing Lattice Structures with Application in Shape Optimization of BLI Engine Intakes

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