Derivation of a continuous adjoint topology optimization method applied on heat transfer for incompressible flow
(2023) In Numerical Heat Transfer; Part A: Applications 83(10). p.1067-1079- Abstract
With the development of additive manufacturing, the freedom in developing complex cooling structures has been enlarged greatly. Topology optimization is one of the methods that can give out cooling structures beyond the limits of geometric parameters. In this research, an algorithm of topology optimization with heat transfer is derived. The detailed optimization procedure is presented in this work. The basic assumptions of this optimization method are steady state, incompressible and frozen turbulent flow with constant physical properties. The governing equations, optimization sensitivity formula and boundary conditions are presented, which are essential to the implementation of this method. A detailed derivation process is included.... (More)
With the development of additive manufacturing, the freedom in developing complex cooling structures has been enlarged greatly. Topology optimization is one of the methods that can give out cooling structures beyond the limits of geometric parameters. In this research, an algorithm of topology optimization with heat transfer is derived. The detailed optimization procedure is presented in this work. The basic assumptions of this optimization method are steady state, incompressible and frozen turbulent flow with constant physical properties. The governing equations, optimization sensitivity formula and boundary conditions are presented, which are essential to the implementation of this method. A detailed derivation process is included. This method is applied in a 2-D flow domain using an open-source platform named OpenFOAM.
(Less)
- author
- Ye, Yi ; Li, Xueying ; Ren, Jing and Sundén, Bengt LU
- organization
- publishing date
- 2023
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Continuous adjoint method, heat transfer, topology optimization
- in
- Numerical Heat Transfer; Part A: Applications
- volume
- 83
- issue
- 10
- pages
- 1067 - 1079
- publisher
- Taylor & Francis
- external identifiers
-
- scopus:85135044296
- ISSN
- 1040-7782
- DOI
- 10.1080/10407782.2022.2102348
- language
- English
- LU publication?
- yes
- id
- 2ba4348b-6d82-4b92-a597-288568a509c4
- date added to LUP
- 2022-09-12 15:02:06
- date last changed
- 2023-11-21 11:17:00
@article{2ba4348b-6d82-4b92-a597-288568a509c4,
abstract = {{<p>With the development of additive manufacturing, the freedom in developing complex cooling structures has been enlarged greatly. Topology optimization is one of the methods that can give out cooling structures beyond the limits of geometric parameters. In this research, an algorithm of topology optimization with heat transfer is derived. The detailed optimization procedure is presented in this work. The basic assumptions of this optimization method are steady state, incompressible and frozen turbulent flow with constant physical properties. The governing equations, optimization sensitivity formula and boundary conditions are presented, which are essential to the implementation of this method. A detailed derivation process is included. This method is applied in a 2-D flow domain using an open-source platform named OpenFOAM.</p>}},
author = {{Ye, Yi and Li, Xueying and Ren, Jing and Sundén, Bengt}},
issn = {{1040-7782}},
keywords = {{Continuous adjoint method; heat transfer; topology optimization}},
language = {{eng}},
number = {{10}},
pages = {{1067--1079}},
publisher = {{Taylor & Francis}},
series = {{Numerical Heat Transfer; Part A: Applications}},
title = {{Derivation of a continuous adjoint topology optimization method applied on heat transfer for incompressible flow}},
url = {{http://dx.doi.org/10.1080/10407782.2022.2102348}},
doi = {{10.1080/10407782.2022.2102348}},
volume = {{83}},
year = {{2023}},
}