Multiphysics Eulerian-Lagrangian Electrostatic Particle Spray- And Deposition Model for OpenFOAM® and KaleidoSim® Cloud-Platform
A finite volume based Eulerian-Lagrangian model has been created within OpenFoam® in order to predict the behavior of particle clouds as well as particle deposition thicknesses on substrates under the influence of electro–static effects. Resulting deposition pattern predictions were experimentally validated. It is demonstrated qualitatively and quantitatively that the measured deposition thicknesses and patterns vary by- i) Applied voltage, ii) Airflow rate, pistol-substrate iii) Distance & iv) Angle.
Official citation: Boiger, Gernot Kurt; Lienhard, Viktor ; Boldrini, Marlon ; Siyahhan, Bercan ; Khawaja, Hassan; Moatamedi, Mojtaba, 2020. Multiphysics Eulerian-Lagrangian electrostatic particle spray- and deposition model for OpenFOAM® and KaleidoSim® cloud-platform . The International Journal of Multiphysics. 14 (1), pp. 1-15. Available from: https://doi.org/10.21152/1750-95184.108.40.206
Multiphysics solver for coating processes in terms of MSCC
This talk will demonstrate simulation software advances focusing novel Kaleidosim based cloud computing capacities as well as extensive validation efforts. Thereby a large number of metallic substrates has been coated and evaluated in terms of measured vs predicted relative coating thicknesses. An extensive series of cloud based simulation runs has been conducted in Massive Simultaneous Cloud Computing (MSCC) mode, approximately 80 coating experiments have been performed and 240 Coatmaster 3D measurements have been done and evaluated.
Official citation: Boiger, Gernot Kurt; Siyahhan, Bercan ; Lienhard, Viktor , 2020. Advancing the validation and application of a Eulerian-Lagrangian multiphysics solver for coating processes in terms of massive simultaneous cloud computing . In: Multiphysics 2020. International Conference of Multiphysics, Online, December 11-12, 2020. International Society of Multiphysics. P. 38. Available here
Simulation-based investigation of tar formation in after-treatment systems for biomass gasification
Even though biomass gasification remains a promising technology regarding de-centralized sustainable energy supply, its main limitations have never been fully overcome. In order to tackle two deficiencies and to increase the understanding of thermodynamic and thermokinetic producer gas phase phenomena within the after-treatment zones, a numerical system dynamic model has been created and recommendations were provided. The numerical model has been included in the cloud-computing platform KaleidoSim. Thus, a wider range of process parameter combinations could be investigated in reasonable time.
Official Citation: Boiger, Gernot Kurt; Buff, Vincent ; Sharman, Darren ; Boldrini, Marlon ; Lienhard, Viktor; Drew, Dominic, 2020. Simulation-based investigation of tar formation in after-treatment systems for biomass gasification . Biomass Conversion and Biorefinery. 11 (1), pp. 39-56. Available from: https://doi.org/10.1007/s13399-020-00915-7
Massive Simultaneous Cloud Computing (MSCC) for Multiphysics - Simulation applications
The Massive Simultaneous Cloud Computing concept allows appliers and developers of Multiphysics simulation software to utilize any number of cloud-based computers simultaneously. The cloud-based software platform Kaleidosim has been devised to effectively enable the handling of MSCC simulation run series of up to 500 simultaneous cloud runs. Amazing speed-up factors of upto 100 (!) have been achieved in terms of comparing MSCC based parameter studies to the standard workflow on in-house hardware.
Official citation: Boiger, Gernot Kurt; Everitt, Matthew; Sharman, Darren ; Boldrini, Marlon , 2020. Massive simultaneous cloud computing (MSCC) for multiphysics-simulation applications . In: Multiphysics 2020. International Conference of Multiphysics, Online, December 11-12, 2020. International Society of Multiphysics. P. 59. Available here.
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