Topology optimization of turbulent forced convective heat sinks using a multi-layer thermofluid model

Zhao, Jingling; Zhang, Ming; Zhu, Yu; Cheng, Rong; Wang, Leijie

doi:10.1007/s00158-021-03064-1

Cited by 9 publications

(4 citation statements)

References 61 publications

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“…Through ankle CT scan and 3D reconstruction, doctors can comprehensively and accurately understand the position and direction of the fracture line, which is conducive to the judgment of fracture classification. Forty-two cases in this group have been completely isolated and classified according to the Lauge-Hansen classification and Danis-Weber classification, and it is important to conduct surgical treatment [ 16 ].…”

Section: Methodsmentioning

confidence: 99%

Application of Multislice Spiral CT and Three-Dimensional Image Reconstruction Technology in the Observation of Ankle Sports Injury under the Microscope

Zhao

2022

Scanning

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In order to solve the problem of multislice spiral CT and three-dimensional image reconstruction technology in the observation of ankle sports injuries under the microscope, to meet the needs of the accuracy of the diagnosis of traumatic fractures, to make up for the shortcomings of the traditional treatment cycle, and to improve the recovery speed of patients. The subjects were inpatients in the Orthopedics and Traumatology Department of a hospital from January 2020 to January 2021.The ankle joint belongs to the flexion joint, which is formed by a dense joint at the lower end of the fibula, tibia, and talus. Osteoarthritis is the most common type of bone fracture, accounting for approximately 3.9% of the total skeletal system, and is most likely to occur in adolescents.

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Section: Methodsmentioning

confidence: 99%

Application of Multislice Spiral CT and Three-Dimensional Image Reconstruction Technology in the Observation of Ankle Sports Injury under the Microscope

Zhao

2022

Scanning

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“…Yaji et al (2020) proposed a multi-fidelity design approach for thermal turbulent flow optimization problems. Zhao et al (2021) used a multi-layer thermo-fluid model for the design of turbulent forced convective heat sinks using the SA model. Ghosh et al (2022) focused on the design of internal cooling ducts for gas turbine blades using finite volumes and under the frozen turbulence assumption.…”

Section: Introductionmentioning

confidence: 99%

XFEM level set-based topology optimization for turbulent conjugate heat transfer problems

Noël

Maute

2022

Struct Multidisc Optim

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Solving conjugate heat transfer design problems is relevant for various engineering applications requiring efficient thermal management. Heat exchange between fluid and solid can be enhanced by optimizing the system layout and the shape of the flow channels. As heat is transferred at fluid/solid interfaces, it is crucial to accurately resolve the geometry and the physics responses across these interfaces. To address this challenge, this work investigates for the first time the use of an eXtended Finite Element Method (XFEM) approach to predict the physical responses of conjugate heat transfer problems considering turbulent flow. This analysis approach is integrated into a level set-based optimization framework. The design domain is immersed into a background mesh and the geometry of fluid/solid interfaces is defined implicitly by one or multiple level set functions. The level set functions are discretized by higher-order B-splines. The flow is predicted by the Reynolds Averaged Navier–Stokes equations. Turbulence is described by the Spalart–Allmaras model and the thermal energy transport by an advection–diffusion model. Finite element approximations are augmented by a generalized Heaviside enrichment strategy with the state fields being approximated by linear basis functions. Boundary and interface conditions are enforced weakly with Nitsche’s method, and the face-oriented ghost stabilization is used to mitigate numerical instabilities associated with the emergence of small integration subdomains. The proposed XFEM approach for turbulent conjugate heat transfer is validated against benchmark problems. Optimization problems are solved by gradient-based algorithms and the required sensitivity analysis is performed by the adjoint method. The proposed framework is illustrated with the design of turbulent heat exchangers in two dimensions. The optimization results show that, by tuning the shape of the fluid/solid interface to generate turbulence within the heat exchanger, the transfer of thermal energy can be increased.

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“…Zeng et al [56] performed a TO on a 3D heat sink using a finite element solver. On the other hand, a few researches on the TO of HXs involving the turbulent flow have also been conducted mainly using the FEM to solve the RANS (Reynolds averaged Navier-Stokes) equations [40], [61], [85], [87], [124]. For example, Zhao et al [87] adopted the Darcy-flow and RANS models for the TO of cooling channels problems under steady state conditions: the FEM-based commercial software (COMSOL Multiphysics) was employed to simulate the turbulent flow in the channels.…”

Section: Finite Element Methods (Fem)mentioning

confidence: 99%

Topology optimization of heat exchangers: A review

Fawaz

Younan

Corre

et al. 2022

Energy

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Topology optimization of turbulent forced convective heat sinks using a multi-layer thermofluid model

Cited by 9 publications

References 61 publications

Application of Multislice Spiral CT and Three-Dimensional Image Reconstruction Technology in the Observation of Ankle Sports Injury under the Microscope

Application of Multislice Spiral CT and Three-Dimensional Image Reconstruction Technology in the Observation of Ankle Sports Injury under the Microscope

XFEM level set-based topology optimization for turbulent conjugate heat transfer problems

Topology optimization of heat exchangers: A review

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