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

被引:6
|
作者
Noel, L. [1 ]
Maute, K. [2 ]
机构
[1] Delft Univ Technol, Dept Precis & Microsyst Engn, Mekelweg 2, NL-2628 CD Delft, Netherlands
[2] Univ Colorado, Aerosp Mech Res Ctr, Dept Aerosp Engn Sci, 3775 Discovery Dr, Boulder, CO 80309 USA
关键词
Level set; Topology optimization; XFEM; Conjugate heat transfer; Heat exchanger; Turbulence; Spalart-Allmaras; FINITE-ELEMENT-METHOD; CRACK-GROWTH; STEADY-STATE; DESIGN; FLOW; SHAPE; SENSITIVITIES; FORMULATION; SCHEMES; FLUIDS;
D O I
10.1007/s00158-022-03353-3
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页数:31
相关论文
共 50 条
  • [31] The continuous adjoint method for shape optimization in Conjugate Heat Transfer problems with turbulent incompressible flows
    Gkaragkounis, K. T.
    Papoutsis-Kiachagias, E. M.
    Giannakoglou, K. C.
    APPLIED THERMAL ENGINEERING, 2018, 140 : 351 - 362
  • [32] Heuristic optimality criterion algorithm for topology optimization of conjugate heat transfer problem
    Hu, Zhilin
    Zhang, Huahai
    Wang, Juan
    Wang, Limin
    INTERNATIONAL JOURNAL OF THERMAL SCIENCES, 2024, 200
  • [33] The influence of temperature dependent fluid properties on topology optimization of conjugate heat transfer
    Qian, Sihao
    Lou, Shunxi
    Ge, Chaoliu
    Wang, Wei
    Tian, Xiwei
    Cai, Yanzhao
    INTERNATIONAL JOURNAL OF THERMAL SCIENCES, 2022, 173
  • [34] Concurrent shape and topology optimization for steady conjugate heat transfer
    Makhija, David S.
    Beran, Philip S.
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2019, 59 (03) : 919 - 940
  • [35] Concurrent shape and topology optimization for unsteady conjugate heat transfer
    Makhija, David S.
    Beran, Philip S.
    STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2020, 62 (03) : 1275 - 1297
  • [36] Level set-based topology optimization for graded acoustic metasurfaces using two-scale homogenization
    Noguchi, Yuki
    Yamada, Takayuki
    FINITE ELEMENTS IN ANALYSIS AND DESIGN, 2021, 196
  • [37] A level set-based topology optimization approach for thermally radiating structures
    Brian S. Cohen
    Andrew I. March
    Karen E. Willcox
    David W. Miller
    Structural and Multidisciplinary Optimization, 2022, 65
  • [38] Filter the shape sensitivity in level set-based topology optimization methods
    Benliang Zhu
    Xianmin Zhang
    Sergej Fatikow
    Structural and Multidisciplinary Optimization, 2015, 51 : 1035 - 1049
  • [39] Level set-based topology optimization for anti-reflection surface
    Garuda Fujii
    Tsuyoshi Ueta
    Mamoru Mizuno
    Applied Physics A, 2014, 116 : 921 - 927
  • [40] Level set-based isogeometric topology optimization for maximizing fundamental eigenfrequency
    Manman Xu
    Shuting Wang
    Xianda Xie
    Frontiers of Mechanical Engineering, 2019, 14 : 222 - 234