Investment casting and experimental testing of heat sinks designed by topology optimization

被引:81
作者
Lei, Tian [1 ,3 ]
Alexandersen, Joe [2 ]
Lazarov, Boyan S. [2 ]
Wang, Fengwen [2 ]
Haertel, Jan H. K. [1 ]
De Angelis, Salvatore [1 ]
Sanna, Simone [1 ]
Sigmund, Ole [2 ]
Engelbrecht, Kurt [1 ]
机构
[1] Tech Univ Denmark, Dept Energy Convers & Storage, DK-4000 Roskilde, Denmark
[2] Tech Univ Denmark, Dept Mech Engn, DK-2800 Lyngby, Denmark
[3] Sumitomo SHI Cryogen Amer Inc, 1833 Vultee St, Allentown, PA 18103 USA
关键词
Topology optimization; Heat sink; Natural convection; Investment casting; Stereolithography printing; Experimental test; NATURAL-CONVECTION; MODEL; SCALE;
D O I
10.1016/j.ijheatmasstransfer.2018.07.060
中图分类号
O414.1 [热力学];
学科分类号
摘要
Topology optimization (TO) is an attractive numerical tool to obtain optimized engineering designs, which has been originally developed for mechanical optimization and extended to the area of conjugate heat transfer. With rapid developments in topology optimization models, promising designs have been proposed and presented recently for conjugate heat transfer problems. However, only a very small number of experimental validations of TO heat transfer devices have been reported. In this paper, investment casting (IC) using 3D stereolithography (SLA) printed patterns is proposed to fabricate 3D metal heat transfer devices designed by TO. Three heat sinks for natural convection are designed by a previously reported topology optimization model and five reference pin-fin heat sinks are devised for comparison. From those designs six heat sinks are cast in Britannia metal, fully reproducing the complex 3D optimized designs. It shows that SLA-assisted IC is a very promising technology with low cost and high accuracy for fabricating TO metal parts, which is not limited to heat transfer devices and can be extended to other areas such as structural optimization. A natural convection experimental setup is used to experimentally study the performance of the fabricated heat sinks. The results show that the tested TO heat sinks can always realize the best heat dissipation performance compared to pin-fin heat sinks, when operating under the conditions used for the optimization. Moreover, validation simulations have been conducted to investigate the temperature distribution, fluid flow pattern and local heat transfer coefficient for the TO and pin-fin designs, further evidencing that TO designs always perform better under the design conditions. In addition, the impact of heat sink orientation and radiation are presented. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:396 / 412
页数:17
相关论文
共 39 条
[1]   Topology optimization using PETSc: An easy-to-use, fully parallel, open source topology optimization framework [J].
Aage, Niels ;
Andreassen, Erik ;
Lazarov, Boyan Stefanov .
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2015, 51 (03) :565-572
[2]   Parallel framework for topology optimization using the method of moving asymptotes [J].
Aage, Niels ;
Lazarov, Boyan S. .
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION, 2013, 47 (04) :493-505
[3]  
Aboulkhair NT, 2014, Addit. Manuf., V1-4, P77, DOI [10.1016/j.addma.2014.08.001, DOI 10.1016/J.ADDMA.2014.08.001]
[4]  
Alexandersen J., 2015, 11 WORLD C STRUCT MU
[5]   Design of passive coolers for light-emitting diode lamps using topology optimisation [J].
Alexandersen, Joe ;
Sigmund, Ole ;
Meyer, Knud Erik ;
Lazarov, Boyan Stefanov .
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2018, 122 :138-149
[6]   Large scale three-dimensional topology optimisation of heat sinks cooled by natural convection [J].
Alexandersen, Joe ;
Sigmund, Ole ;
Aage, Niels .
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2016, 100 :876-891
[7]   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
[8]  
[Anonymous], 2017, USING BOUSSINESQ APP
[9]  
[Anonymous], 2017, JEWELRY RESINS SUPER
[10]  
[Anonymous], 2017, Comsol Multiphysics-CFD Module: User's Guide