A multi-scale random-walk thermal-analysis methodology for complex IC-interconnect systems

Author(s):  
R.B. Iverson ◽  
Y.L. Le Coz ◽  
B. Kleveland ◽  
S.S. Wong
Integration ◽  
2015 ◽  
Vol 49 ◽  
pp. 35-48
Author(s):  
Mohammadsadegh Sadri ◽  
Andrea Bartolini ◽  
Luca Benini

2021 ◽  
Vol 349 (3) ◽  
pp. 529-558
Author(s):  
Hamza Oukili ◽  
Rachid Ababou ◽  
Gérald Debenest ◽  
Benoît Noetinger
Keyword(s):  

Langmuir ◽  
2001 ◽  
Vol 17 (11) ◽  
pp. 3216-3222 ◽  
Author(s):  
Ray L. Frost ◽  
János Kristóf ◽  
Erzsébet Horváth ◽  
J. Theo Kloprogge

2006 ◽  
Vol 104 (2) ◽  
pp. 123-132 ◽  
Author(s):  
Renee Gluch ◽  
Dale A. Quattrochi ◽  
Jeffrey C. Luvall
Keyword(s):  

Author(s):  
J. Emily Cousineau ◽  
Kevin Bennion ◽  
Karun Potty ◽  
He Li ◽  
Risha Na ◽  
...  

Abstract This paper describes a multi-scale thermal analysis approach for the design of an air-cooled 1.7-kV SiC MOSFET-based medium-voltage variable-speed motor drive. The scope of the models and required efficient and flexible thermal models to be developed. Two modeling techniques are described that significantly reduced model run time and enabled more complex models to be run faster while retaining needed accuracy. The first technique uses the effectiveness-NTU method to extract convection boundary conditions from a CFD model that can be applied to a fast-running FEA model. The second is a porous media technique that enables system-level CFD simulations that incorporate effects from heat exchangers (e.g., pin fin heat sinks) that run in a fraction of the time required for fully resolved CFD simulations. The multi-scale approach to the thermal analysis enabled fast and accurate simulation for the converter design ranging from the die level up to the full system with 36 submodules. The modeling results were validated against experimental data from system tests performed by OSU.


2005 ◽  
Vol 127 (1) ◽  
pp. 18-26 ◽  
Author(s):  
Lan Tang ◽  
Yogendra K. Joshi

A multi-grid embedded multi-scale approach is presented for conjugate heat transfer analysis of systems with a wide range of length scales of interest. The multi-scale analysis involves a sequential two-step “zoom-in” approach to resolve both the large length scales associated with the system enclosure, and the smaller length scales associated with fine spatial structures of discrete heat sources contained within. With this approach, computation time is shortened significantly, compared to conventional single-step computational fluid dynamics/computational heat transfer (CFD/CHT) modeling, with a very fine mesh. Performance of the two-step multi-scale approach is further enhanced by integrating the multi-grid technique in the CFD/CHT solver. Implementation of the enhanced approach is demonstrated for thermal analysis of an array of substrate mounted discrete heat sources cooled by mixed and forced convection, with accompanying experiments performed for validation and for the assessment of the importance of mixed convection. It is found that the multi-grid embedded multi-scale thermal analysis reduces simulation run time by 90% compared to the multi-grid integrated single step solution. The computed temperatures were in good agreement with measurements, with maximum deviation of 8%.


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