Topology Optimization Applied to Transpiration Cooling

被引:13
作者
Munk, David J. [1 ,3 ]
Selzer, Markus [1 ,3 ]
Steven, Grant P. [2 ]
Vio, Gareth A. [2 ]
机构
[1] German Aerosp Ctr, DLR, D-70569 Stuttgart, Germany
[2] Univ Sydney, Sydney, NSW 2006, Australia
[3] Inst Struct & Design, Baden Wurttemberg, Germany
关键词
FLUID-STRUCTURE INTERACTIONS; HEAT-CONDUCTION PROBLEMS; EVOLUTIONARY TOPOLOGY; STEADY-STATE; DESIGN; SHAPE; FLOW;
D O I
10.2514/1.J057411
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
The performance of countless engineering systems usually depends on various physical phenomena belonging to different disciplines, such as solid mechanics, fluid mechanics, and heat transfer. Such problems are normally referred to as multiphysics. Topology optimization provides a promising approach to systematically solve multiphysics problems, which are often dominated by nonlinear phenomena and are not well suited to intuitive design strategies. Topology optimization methods have been extensively developed and applied to problems that are dominated by single phenomena, such as compliance minimization in structural mechanics and pressure drop minimization in fluid mechanics. However, significantly less research has been applied to topology optimization of multiphysics problems. In this paper, the design of transpiration-cooled porous structures will be performed using topology optimization. The design domain is the porous material that the coolant penetrates in transpiration-cooling systems. This is a coupled problem for which the interaction of multiple physical phenomena (namely, fluid mechanics and heat transfer) needs to be accounted for. This is achieved through coupled numerical simulations of porous media and pure fluid flow using a two-domain approach. To the best of our knowledge, topology optimization has not yet been applied to the design of transpiration-cooling systems.
引用
收藏
页码:297 / 312
页数:16
相关论文
共 48 条
[1]   Level Set-Based Topological Shape Optimization of Heat Conduction Problems Considering Design-Dependent Convection Boundary [J].
Ahn, Seung-Ho ;
Cho, Seonho .
NUMERICAL HEAT TRANSFER PART B-FUNDAMENTALS, 2010, 58 (05) :304-322
[2]   Topology optimisation for natural convection problems [J].
Alexandersen, Joe ;
Aage, Niels ;
Andreasen, Casper Schousboe ;
Sigmund, Ole .
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS, 2014, 76 (10) :699-721
[3]  
[Anonymous], 2016, CHEM EQ APPL ONL DAT
[4]  
[Anonymous], 1989, Structural Optimization, DOI [DOI 10.1007/BF01650949, 10.1007/bf01650949]
[5]  
ANSYS Incorporation, 2011, ANSYS CFX Solver Theory Guide
[6]  
Bendsoe M. P., 2004, Topology optimization: theory, methods, and applications
[7]  
Bendsoe M. P., 1995, OPTIMIZATION STRUCTU, DOI [10.1007/978-3-662-03115-5, DOI 10.1007/978-3-662-03115-5]
[8]   GENERATING OPTIMAL TOPOLOGIES IN STRUCTURAL DESIGN USING A HOMOGENIZATION METHOD [J].
BENDSOE, MP ;
KIKUCHI, N .
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 1988, 71 (02) :197-224
[9]   Material interpolation schemes in topology optimization [J].
Bendsoe, MP ;
Sigmund, O .
ARCHIVE OF APPLIED MECHANICS, 1999, 69 (9-10) :635-654
[10]   Topology optimization of fluids in Stokes flow [J].
Borrvall, T ;
Petersson, J .
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN FLUIDS, 2003, 41 (01) :77-107