Topology optimization of heat exchangers: A review
The critical importance of heat exchangers (HXs) on energy systems has been widely
recognized, which can largely determine the overall efficiency. With the rise of the topology …
recognized, which can largely determine the overall efficiency. With the rise of the topology …
Deep learning in computational mechanics: a review
The rapid growth of deep learning research, including within the field of computational
mechanics, has resulted in an extensive and diverse body of literature. To help researchers …
mechanics, has resulted in an extensive and diverse body of literature. To help researchers …
Investigations on a novel cold plate achieved by topology optimization for lithium-ion batteries
C Guo, H Liu, Q Guo, X Shao, M Zhu - Energy, 2022 - Elsevier
A necessary research topic about thermal management design of lithium-ion batteries has
been attracted extensive attentions. A novel cold plate designed by topology optimization …
been attracted extensive attentions. A novel cold plate designed by topology optimization …
Latent crossover for data-driven multifidelity topology design
Topology optimization is one of the most flexible structural optimization methodologies.
However, in exchange for its high level of design freedom, typical topology optimization …
However, in exchange for its high level of design freedom, typical topology optimization …
Data-driven multi-fidelity topology design of fin structures for latent heat thermal energy storage
This work develops a data-driven multi-fidelity topology design (MFTD) method for designing
fins in a latent heat thermal energy storage tube. The high-fidelity simulation resolves the …
fins in a latent heat thermal energy storage tube. The high-fidelity simulation resolves the …
[HTML][HTML] Data-driven multifidelity topology design with multi-channel variational auto-encoder for concurrent optimization of multiple design variable fields
Topology optimization can generate high-performance structures with a high degree of
freedom. Regardless, it generally confronts entrapment in undesirable local optima …
freedom. Regardless, it generally confronts entrapment in undesirable local optima …
Design and optimization of heat sinks for the liquid cooling of electronics with multiple heat sources: a literature review
This paper presents a detailed literature review on the thermal management issue faced by
electronic devices, particularly concerning uneven heating and overheating problems …
electronic devices, particularly concerning uneven heating and overheating problems …
Machine learning-based multi-objective optimization of thermo-mechanical field of anisotropic plates
Designing plates is highly challenging due to the complex relationship between material
layout and its properties. Traditional experimental, analytical, and computational methods …
layout and its properties. Traditional experimental, analytical, and computational methods …
[HTML][HTML] Topology optimization for mass transfer enhancement in open thermochemical energy storage reactors
G Humbert, A Sciacovelli - Journal of Energy Storage, 2023 - Elsevier
The mass transfer enhancement in open system thermochemical energy storage is achieved
in this work through the optimal design of flow channel geometries. Such flow channel …
in this work through the optimal design of flow channel geometries. Such flow channel …
Correlated-informed neural networks: a new machine learning framework to predict pressure drop in micro-channels
Accurate pressure drop estimation in forced boiling phenomena is important during the
thermal analysis and the geometric design of cryogenic heat exchangers. However, current …
thermal analysis and the geometric design of cryogenic heat exchangers. However, current …