2016 Symposium on Design, Test, Integration and Packaging of MEMS/MOEMS (DTIP) 2016
DOI: 10.1109/dtip.2016.7514865
|View full text |Cite
|
Sign up to set email alerts
|

Compact modeling approach for microchannel cooling aimed at high-level thermal analysis of 3D packaged ICs

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2017
2017
2019
2019

Publication Types

Select...
3
2

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(3 citation statements)
references
References 13 publications
0
3
0
Order By: Relevance
“…The junction temperature rise of the transistor can be measured using the principles published in [19]. The forward voltage of the emitter-base junction is a temperature sensitive parameter (TSP).…”
Section: Measurements and Characterizationmentioning
confidence: 99%
See 1 more Smart Citation
“…The junction temperature rise of the transistor can be measured using the principles published in [19]. The forward voltage of the emitter-base junction is a temperature sensitive parameter (TSP).…”
Section: Measurements and Characterizationmentioning
confidence: 99%
“…In the beginning of the research work, we aimed to create appropriate compact models, where the heat transfer rate through the microchannel walls is accurately modelled at different points of the channel(s) and could be used as possible inputs for thermal simulators or logical simulator environments [11][12][13][14][15][16][17][18][19][20]. We intended to develop a new method to extend in-house electro-thermal simulator tool with the developed compact models to make it eligible to accurately simulate the modelled hydrodynamics behavior in a short time.…”
Section: Introductionmentioning
confidence: 99%
“…Merging the nodes between blocks and the standard node elimination of the successive node reduction method require the same algebraic operation as in the ordinary SUNRED algorithm [23]. The only difference is that now one has to cope with transfer functions.…”
Section: Sunred Algorithm With Transfer Functions Representing Thermamentioning
confidence: 99%