On Metrics for Computation of Strength of Coupling in Multiphysics Simulations

Author(s):  
Anastasia Wilson ◽  
Wei Du ◽  
Guanglian Li ◽  
Azam Moosavi ◽  
Carol S. Woodward
Author(s):  
Martin Wlotzka ◽  
Vincent Heuveline ◽  
Steffen Klatt ◽  
David Kraus ◽  
Edwin Haas ◽  
...  

Author(s):  
Patrick W. Wilkerson ◽  
Andrzej J. Przekwas ◽  
Chung-Lung Chen

Multiscale multiphysics simulations were performed to analyze wirebonds for power electronic devices. Modern power-electronic devices can be subjected to extreme electrical and thermal conditions. Fully coupled electro-thermo-mechanical simulations were performed utilizing CFDRC’s CFD-ACE+ multiphysics simulation software and scripting capabilities. Use of such integrated multiscale multiphysics simulation and design tools in the design process can cut cost, shorten product development cycle time, and result in optimal designs. The parametrically designed multiscale multiphysics simulations performed allowed for a streamlined parametric analysis of the electrical, thermal, and mechanical effects on the wirebond geometry, bonding sites and power electronic device geometry. Multiscale analysis allowed for full device thermo-mechanical analysis as well as detailed analysis of wirebond structures. The multiscale simulations were parametrically scripted allowing for parametric simulations of the device and wirebond geometry as well as all other simulation variables. Analysis of heat dissipation from heat generated in the power-electronic device and through Joule heating were analyzed. The multiphysics analysis allowed for investigation of the location and magnitude of stress concentrations in the wirebond and device. These stress concentrations are not only investigated for the deformed wirebond itself, but additionally at the wirebond bonding sites and contacts. Changes in the wirebond geometry and bonding geometry, easily changed through the parametrically designed simulation scripts, allows for investigation of various wirebond geometries and operating conditions.


Author(s):  
Giovanni Russo ◽  
Vincenzo Capasso ◽  
Giuseppe Nicosia ◽  
Vittorio Romano

2012 ◽  
Author(s):  
D Keyes ◽  
L C McInnes ◽  
C Woodward ◽  
W Gropp ◽  
E Myra ◽  
...  

2020 ◽  
Vol 199 ◽  
pp. 104437 ◽  
Author(s):  
Ansgar Niemöller ◽  
Michael Schlottke-Lakemper ◽  
Matthias Meinke ◽  
Wolfgang Schröder

Computation ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 9 ◽  
Author(s):  
Christoph Rettinger ◽  
Ulrich Rüde

Parallel multiphysics simulations often suffer from load imbalances originating from the applied coupling of algorithms with spatially and temporally varying workloads. It is, thus, desirable to minimize these imbalances to reduce the time to solution and to better utilize the available hardware resources. Taking particulate flows as an illustrating example application, we present and evaluate load balancing techniques that tackle this challenging task. This involves a load estimation step in which the currently generated workload is predicted. We describe in detail how such a workload estimator can be developed. In a second step, load distribution strategies like space-filling curves or graph partitioning are applied to dynamically distribute the load among the available processes. To compare and analyze their performance, we employ these techniques to a benchmark scenario and observe a reduction of the load imbalances by almost a factor of four. This results in a decrease of the overall runtime by 14% for space-filling curves.


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