Research on structural improvement of microchannel heat sink by using topology optimization method based on ε-constraint model DOI Creative Commons
Jiahao Wang, Daniele Melideo, Xiaomin Liu

et al.

Applied Thermal Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 125168 - 125168

Published: Dec. 1, 2024

Language: Английский

Optimization study of multiple-stage PCMs thermal energy storage system employing continuous topology optimization model DOI Creative Commons
Jiahao Wang, Daniele Melideo, Xiaomin Liu

et al.

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 110, P. 115279 - 115279

Published: Jan. 11, 2025

Language: Английский

Citations

2
Advances in Numerical Modeling for Heat Transfer and Thermal Management: A Review of Computational Approaches and Environmental Impacts DOI Creative Commons
Łukasz Łach, Dmytro Svyetlichnyy

Energies, Journal Year: 2025, Volume and Issue: 18(5), P. 1302 - 1302

Published: March 6, 2025

Advances in numerical modeling are essential for heat-transfer applications electronics cooling, renewable energy, and sustainable construction. This review explores key methods like Computational Fluid Dynamics (CFD), the Finite Element Method (FEM), Volume (FVM), multiphysics modeling, alongside emerging strategies such as Adaptive Mesh Refinement (AMR), machine learning (ML), reduced-order (ROM), high-performance computing (HPC). While these techniques improve accuracy efficiency, they also increase computational energy demands, contributing to a growing carbon footprint sustainability concerns. Sustainable practices, including energy-efficient algorithms renewable-powered data centers, offer potential solutions. Additionally, increasing consumption highlights need optimization mitigate environmental impact. Future directions point quantum computing, adaptive models, green pathways thermal management modeling. study systematically reviews latest advancements and, first time, provides an in-depth exploration of roles management. outlines roadmap efficient, environmentally responsible models meet evolving demands.

Language: Английский

Citations

1
Performance improvement evaluation of latent heat energy storage units using improved bi-objective topology optimization method DOI Creative Commons
Jiahao Wang, Xiaomin Liu, Umberto Desideri

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 364, P. 123131 - 123131

Published: April 3, 2024

Latent heat thermal energy storage (LHTES) based on phase change materials is one of the key technologies to improve utilization efficiency and alleviate mismatch between supply demand. Heat capacity charging/discharging rate are two core factors that determine comprehensive performance LHTES units. So a bi-objective transient topology optimization(TO) model established freely evolve optimal structure volume fraction fins maximize transfer ensuring high capacity. The optimization function coupling constructed by normalized SAW model. TO formulated using variable density-based design variables grid cells in physical governing equations, objective functions constraints. Helmholtz PDE filtering hyperbolic tangent projection methods employed achieve high-precision solutions. Complex multi-physics field iterative calculations performed adjoint-based sensitivity analysis method GCMMA algorithm. Results demonstrate dynamics response at each iteration can more clearly exhibit evolutionary direction mechanism seeking structures. Pareto frontier indicates responds significantly changes weight ratio ω1:ω2, which also reveals trade-off game among fin formation, state parameters distribution changes. Optimal configurations its regularly with ω1:ω2 decreasing, has an demonstrable mutations occurring ω1 = 0.65(ω2 0.35). scattered uniform multi-branch regulating state. Therefore, TO-fins exhibits extremely rate, time traditional trapezoid approximately three times longer than under 0.65:0.35.

Language: Английский

Citations

8
Comparative study on topology optimization of microchannel heat sink by using different multi-objective algorithms and objective functions DOI Creative Commons
Jiahao Wang, Daniele Melideo, Xiaomin Liu

et al.

Applied Thermal Engineering, Journal Year: 2024, Volume and Issue: 252, P. 123606 - 123606

Published: June 7, 2024

To address the challenges of low computational efficiency, poor solution quality, and difficulty in accurately synergistically optimizing heat transfer reducing flow loss multi-objective topology optimization microchannel sinks, this study innovatively proposes a model based on ε-constraint algorithm. Moreover, functions are constructed using different single-objectives: amount JQ temperature variance JTV. For improvement methods, double-interpolation concept improved q-parameterized interpolation function is used to alter continuity distribution state density design variable ξ. The adjoint-based discrete sensitivity Global Convergent Moving Asymptotic Algorithm implement iterative update structure. result shows: optimized structures its performance parameters evolve regularly with weight coefficients functions, revealing mechanism variables, trade-off game between structure performance; convergence stability algorithm significantly compared traditional normalized Simple Additive Weighting model, efficiency representative case relatively by 40.4%. effectively suppresses grayscale area intermediate range, thereby achieving higher-quality solutions more consistent physical laws. responds JTV, corresponding can achieve maximum exchange optimal uniformity under minimum fluid energy consumption, respectively.

Language: Английский

Citations

6
Data-driven multi-fidelity topology design of fin structures for latent heat thermal energy storage DOI
Ji‐Wang Luo, Kentaro Yaji, Li Chen

et al.

Applied Energy, Journal Year: 2024, Volume and Issue: 377, P. 124596 - 124596

Published: Oct. 1, 2024

Language: Английский

Citations

5
Heat transfer characteristics of topology-optimized fins in latent heat storage systems DOI
Jianbao Yin, Shisong Wang,

Mengyan Ye

et al.

Applied Thermal Engineering, Journal Year: 2024, Volume and Issue: 250, P. 123480 - 123480

Published: May 27, 2024

Language: Английский

Citations

4
Application of the Field Synergy Principle in Rotating Thermal Energy Storage Systems: A Multi-Objective Comprehensive Evaluation of Fin Performance DOI

Yufei Cai,

Yonghao Li,

Zhuo-ming Li

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Review on thermal design and thermal management for metal hydride reactors: Current status and future development DOI

Ju-Wen Su,

Xin-Yuan Tang,

Xiao-Shuai Bai

et al.

International Journal of Hydrogen Energy, Journal Year: 2025, Volume and Issue: 114, P. 295 - 311

Published: March 1, 2025

Language: Английский

Citations

0
Optimal design and performance investigation of latent heat thermal energy storage system integrated with nonuniformed topology fins DOI
Zhaoli Zhang, Xinyu Chen, Nan Zhang

et al.

Journal of Energy Storage, Journal Year: 2025, Volume and Issue: 121, P. 116564 - 116564

Published: April 11, 2025

Language: Английский

Citations

0
Flow and heat transfer improvement in microfluidic thermal camouflage film by topology optimization DOI
Lujia Li, Jiaqi Huang, Songjing Li

et al.

International Communications in Heat and Mass Transfer, Journal Year: 2025, Volume and Issue: 162, P. 108626 - 108626

Published: Feb. 4, 2025

Language: Английский

Citations

0