2019 18th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm) 2019
DOI: 10.1109/itherm.2019.8757230
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Large Scale 3D Topology Optimization of Conjugate Heat Transfer

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Cited by 8 publications
(2 citation statements)
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“…Regarding the optimizer, both gradient-based and non-gradient-based approaches can be employed. The gradient method calculates the objective function's gradient and its stagnant point, often using the adjoint method [140]. Currently, a combination of the density-based method, FEM, and gradient-based optimizer represents the mainstream approach for TO of heat sinks/heat exchangers [4].…”
Section: Topology Optimization (To) Of Global Flow Configurationmentioning
confidence: 99%
“…Regarding the optimizer, both gradient-based and non-gradient-based approaches can be employed. The gradient method calculates the objective function's gradient and its stagnant point, often using the adjoint method [140]. Currently, a combination of the density-based method, FEM, and gradient-based optimizer represents the mainstream approach for TO of heat sinks/heat exchangers [4].…”
Section: Topology Optimization (To) Of Global Flow Configurationmentioning
confidence: 99%
“…The topology optimization of such heat sinks to achieve low-volume high-power density modules is an active area of interest. One category of heat sink design optimization involves gradient/Hessian-based methods [4]- [6]. Another category is based on the use of population-based evolutionary algorithms [7]- [9].…”
mentioning
confidence: 99%