Modelling and Simulation CCC Session

Name Affiliation Talk title Brief summary

Tomasz Bednarz

 

Data61 CSIRO

 

Simulation and Modelling CCC Short Intro Introduction to Simulation and Modelling Cross-Cutting Capability, Community of Practice, and Future Science & Technology.
Controlling Gravity using Strong Magnetic Field Strong magnetic field can act on any substance, whether it is paramagnetic, diamagnetic or ferromagnetic. I will briefly talk how to control fluid flows using magnetic field.
Tony Murphy Manufacturing CSIRO MHD modelling of arc welding  The arc welding process involves all four states of matter: solid, liquid, gas and plasma. Treating them all requires a combination of computational fluid dynamics and electromagnetics, known as magnetohydrodynamics (MHD). I will describe the methods we use, and how we have adapted the model from a research tool to a software product that can be used by industry.
Derek Gaston Idaho National Laboratory, USA MOOSE: Enabling Multiphysics Simulation The MOOSE multiphysics framework is a mature open-source platform for development of sophisticated, parallel simulation capabilities.  With over 500 publications using the framework, it has a proven track-record of allowing scientists and engineers to study complex real-world systems such as nuclear reactors, mining, and geothermal energy.  A summary of capabilities and software quality processes will be described.
Thomas Poulet Mineral Resources
CSIRO
Modelling shear zones at various scales Geological shear zones have a specific architecture, with possibly very low permeability fault gouges at their centre and much higher permeability damage zones on their flanks. I will present different approaches to capture those elements efficiently at all scales involved in the context of fluid flow modelling in sedimentary basins.
Mark Baird Oceans and Atmosphere, CSIRO Simulating the impact of natural and anthropogenic catchment-derived nutrients and sediments on marine water quality on the Great Barrier Reef

Water quality of the Great Barrier Reef (GBR) is determined by a range of natural and anthropogenic drivers that

are resolved in the eReefs coupled hydrodynamic – biogeochemical marine model forced by a process-based

catchment model, GBR Dynamic SedNet. Model simulations quantify the impact of anthropogenic

catchment loads of sediments and nutrients on a range of marine water quality variables. Our simulations demonstrate the impact of anthropogenic loads on GBR water quality and have been used to optimise Queensland Government regulation of catchment loads.

Chaojiao Sun Oceans and Atmosphere CSIRO Using dynamical downscaling to understand future risks to the Great Barrier Reef The world heritage-listed Great Barrier Reef (GBR) has been under multiple threats from repeated impacts of cyclones, coral bleaching, outbreaks of COTS, nutrification, and climate change, which is the greatest threat facing the reef. Frequency of coral bleaching events has been increasing and this trend is expected to continue. Here we use dynamical downscaling with a high-resolution eddy-resolving ocean general circulation model under a most likely emission scenario to explore future risks to the GBR due to changing physical oceanographic conditions.
Peter Dobrohotoff Oceans and Atmosphere CSIRO The ACCESS climate model and CMIP6 I will describe the ACCESS climate model and simulations for the international coupled climate model inter-comparison, CMIP6, including results for future climate projections.
Vassili Kitsios Oceans and Atmosphere CSIRO

Improved commodity price prediction by exploiting climate model forecasts of the El Nino Southern Oscillations

 

The price of certain agricultural commodities produced in the tropics co-vary with the dominant associated mode of climate variability, the El Niño Southern Oscillation (ENSO). By exploiting climate model forecasts of ENSO generated by the CSIRO Climate Reanalysis and Forecast Ensemble (CAFE) system, we demonstrate improved predictability of the price of these commodities over multi-year lead times. Understanding these climatic impacts can help address issues surrounding food security and balances of trade.
Andy Wilkins Mineral Resources CSIRO Monitoring CO2 injection using earth tides Earth tides are deformations of our planet caused by the moon and the sun.  They impact different subsurface fluids in different ways, so can be used to monitor the progress of CO2 sequestration.  I will discuss observed data, analytical solutions and numerical modelling, attempting to understand CSIRO’s current CO2 demonstration.
Sharen Cummins Data61 CSIRO A coupled particle-based computational model to simulate powder bed fusion processes in additive manufacturing A new coupled particle-based computational model to simulate powder bed fusion in metal additive manufacturing is presented. The model uses the discrete element method (DEM) for powder flow simulation, an extended smoothed particle hydrodynamics (SPH) for melt pool dynamics and a semi-empirical microstructure evolution strategy to simulate the evolving temperature and microstructure of non-spherical titanium powder grains undergoing powder bed fusion. The new capability is demonstrated by applying a complex representative laser scan pattern to a single-layer titanium powder bed.
Clement Chu Manufacturing CSIRO Apply 3D visualization technology on software development to enhance, simplify and clarify the additive manufacturing process Uses cases of robotic 3D printing and medical implant will be presented to describe how effective with using 3D visualization on development of Windows application and Web application.

 

Sam Yang

 

Manufacturing CSIRO Data-constrained modelling of material microstructure Quantitative and sample-non-destructive (SND) characterization of 3D microscopic composition distribution in materials is important to a broad range of R&D disciplines. By integrating statistical physics and multi-energy quantitative X-ray CT, DCM explicitly reconstructs 3D microscopic distributions of materials and incorporates fine structures below X-ray CT image resolution as voxel compositional partial volumes. Recent applications of DCM include advanced materials, additive manufacturing, energy and mineral resources. DCM has been adapted as a core technology in Xander-Q for non-destructive quality evaluation of additively-manufactured metal components.

 

Date

Jul 06 2021
Expired!

Time

12:30 pm - 2:00 pm

Local Time

  • Timezone: America/New_York
  • Date: Jul 05 - 06 2021
  • Time: 10:30 pm - 12:00 am