2020 36th Semiconductor Thermal Measurement, Modeling &Amp; Management Symposium (SEMI-THERM) 2020
DOI: 10.23919/semi-therm50369.2020.9142830
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Shape Optimization of a Pin Fin Heat Sink

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Cited by 6 publications
(2 citation statements)
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“…Given the availability of design freedoms with 3D printing, many researchers have explored AM techniques for building heat sinks to optimise the thermal performance of devices. There have been many different kinds of 3D-printed heat sinks presented, such as pin [77], fin [78], branched [79], foam-based [80], manifold-microchannel [81], cross-media composite [82], and phase change material integrated [83] heat sinks. In most cases, these heat exchangers feature complex structures that are difficult to fabricate traditional methods.…”
Section: Thermal Management and Packagingmentioning
confidence: 99%
“…Given the availability of design freedoms with 3D printing, many researchers have explored AM techniques for building heat sinks to optimise the thermal performance of devices. There have been many different kinds of 3D-printed heat sinks presented, such as pin [77], fin [78], branched [79], foam-based [80], manifold-microchannel [81], cross-media composite [82], and phase change material integrated [83] heat sinks. In most cases, these heat exchangers feature complex structures that are difficult to fabricate traditional methods.…”
Section: Thermal Management and Packagingmentioning
confidence: 99%
“…The importance of the topic of efficient power management of electronic components is evidenced by the growing number of publications on topology optimization of fin shapes [30] or heat exchangers [31] using both liquid [32] and air [33] cooling methods. Topology optimization has been performed using either genetic optimization approaches [34] or surrogate modelling-based Bayesian optimization [35]. For this type of optimization, the interpolation scheme such as modified Solid Isotropic Material with Penalization (SIMP) [36], as well as the algorithm based on the method of moving asymptotes (MMA) [37][38][39] and the globally convergent version of MMA (GCMMA) [37,40,41] are often used.…”
Section: Introductionmentioning
confidence: 99%