Optimized topology design of finned ducts for internal flow thermal performance by discrete variable eigenvalue-related optimization
Publication type: Journal Article
Publication date: 2024-02-12
scimago Q1
wos Q1
SJR: 1.339
CiteScore: 8.4
Impact factor: 4.0
ISSN: 1615147X, 16151488
Computer Science Applications
Computer Graphics and Computer-Aided Design
Software
Control and Systems Engineering
Control and Optimization
Abstract
A discrete variable topology optimization method of internally finned ducts in heat exchangers for efficient thermal performance is proposed. Fully developed convective heat transfer (FDCHT) model, which has been extensively employed and well checked in practical thermal engineering applications, is considered here. Under the uniform wall temperature boundary condition, the energy equation of the FDCHT model can be mathematically formulated as a generalized eigenvalue equation, and the total thermal resistance reflecting the thermal performance can be related to the eigenvalue. The well-known eigenvalue optimization formulation and sensitivity analysis is applied to this optimization problem. Significantly, the physical reality, such as precise Nusselt number, is maintained by using the discrete variable method, i.e., Sequential Approximate Integer Programming. Here, only the 0–1 densities denoted to solid and fluid are involved so that blurry intermediate zones and interpolation schemes are avoided. The practical engineering conditions of fixed pumping power and fixed fluid volume flow rate are discussed under the unified framework, respectively. Several designs of internally finned ducts without any blurry zone are obtained. The optimized design conforms to the three-dimensional precise Conjugate Heat Transfer calculation. Numerical results show that contrary to the design method by predefined heat transfer coefficient, the proposed method can automatically obtain the optimal shape and spacing of fins since the spatially varying effect of convective heat transfer has been achieved.
Found
Nothing found, try to update filter.
Found
Nothing found, try to update filter.
Top-30
Journals
|
1
|
|
|
Engineering Optimization
1 publication, 50%
|
|
|
Structural and Multidisciplinary Optimization
1 publication, 50%
|
|
|
1
|
Publishers
|
1
|
|
|
Taylor & Francis
1 publication, 50%
|
|
|
Springer Nature
1 publication, 50%
|
|
|
1
|
- We do not take into account publications without a DOI.
- Statistics recalculated weekly.
Are you a researcher?
Create a profile to get free access to personal recommendations for colleagues and new articles.
Metrics
2
Total citations:
2
Citations from 2024:
2
(100%)
Cite this
GOST |
RIS |
BibTex
Cite this
GOST
Copy
Yan X. et al. Optimized topology design of finned ducts for internal flow thermal performance by discrete variable eigenvalue-related optimization // Structural and Multidisciplinary Optimization. 2024. Vol. 67. No. 2. 20
GOST all authors (up to 50)
Copy
Yan X., Liang Y., Cheng G., Pan Yu., Cai X. Optimized topology design of finned ducts for internal flow thermal performance by discrete variable eigenvalue-related optimization // Structural and Multidisciplinary Optimization. 2024. Vol. 67. No. 2. 20
Cite this
RIS
Copy
TY - JOUR
DO - 10.1007/s00158-023-03718-2
UR - https://doi.org/10.1007/s00158-023-03718-2
TI - Optimized topology design of finned ducts for internal flow thermal performance by discrete variable eigenvalue-related optimization
T2 - Structural and Multidisciplinary Optimization
AU - Yan, Xinyu
AU - Liang, Yuan
AU - Cheng, Gengdong
AU - Pan, Yu
AU - Cai, Xianhui
PY - 2024
DA - 2024/02/12
PB - Springer Nature
IS - 2
VL - 67
SN - 1615-147X
SN - 1615-1488
ER -
Cite this
BibTex (up to 50 authors)
Copy
@article{2024_Yan,
author = {Xinyu Yan and Yuan Liang and Gengdong Cheng and Yu Pan and Xianhui Cai},
title = {Optimized topology design of finned ducts for internal flow thermal performance by discrete variable eigenvalue-related optimization},
journal = {Structural and Multidisciplinary Optimization},
year = {2024},
volume = {67},
publisher = {Springer Nature},
month = {feb},
url = {https://doi.org/10.1007/s00158-023-03718-2},
number = {2},
pages = {20},
doi = {10.1007/s00158-023-03718-2}
}