EMWorks | Electromagnetic Simulation Software’s Post

How faster processing is revolutionizing different industries. By Ed Sperling and Parviz Moin, professor at Stanford University. https://lnkd.in/gBm-adTf More powerful chips are enabling chips to process more data faster, but they’re also having a revolutionary impact on how that data can be used. Simulations that used to take days or weeks now can be completed in a matter of hours, and multi-physics simulations that were implausible to even consider are now very much in the realm of what is possible. Parviz Moin, professor of mechanical engineering and director of the Center for Turbulence Research at Stanford University, talks about a future filled with “what if” scenarios, more grid points to capture tiny anomalies in wind or the behavior of jet engines, and much more detailed high-fidelity numerical simulations of waves, chemical reactions, and phase changes. #CFD #simulation #multiphysics #turbulence #CTR #computationalfluiddynamics Catherine Gorle #CenterForTurbulenceResearch Beverley McKeon

Happy #ThrowbackThursday! This week, we’re bringing back our past webinar on fluid-structure interaction (FSI) modeling. Accurately solving FSI problems is of critical importance in many fields, such as pumps and compressors, environmental science, biomedical research, and more. CONVERGE offers a variety of robust FSI modeling options to simulate the interaction between solid structures and fluid flow. Simulating these interactions often requires complex meshing to capture the full geometry, its motion, and the associated transient flow features. CONVERGE’s autonomous meshing automatically generates a high-fidelity mesh at runtime, significantly reducing pre-processing time. In this webinar, we discuss a variety of examples that demonstrate the use of CONVERGE for pumps, compressors, and valves, as well as marine engineering, wind energy, and biomedical applications. Interested in learning more? Watch the recording here. https://lnkd.in/gRvuHS2M

♻ CFD Uncertainty Quantification using PCE–HDMR: Exemplary Application to a Buoyancy-Driven Mixing Process This work suggests an efficient Uncertainty Quantification method for high-dimensional stochastic modeling, suitable for large-scale CFD applications and applied to buoyancy-driven mixing processes, which are crucial for hashtag #hydrogen safety. Authors: Philipp Wenig, Stephan Kelm & Markus Klein #cfd #cae #simulation #aerodynamics #engineering

📣 Attn: Battery Engineers and Scientists - Join us on Feb 28th to learn how to build a battery pack with thermal management new, efficient methods for battery parameter estimation. Register today 🔗 #eletrification #batterymanagementsystems #MATLAB

📣 Attn: Battery Engineers and Scientists - Join us on Feb 28th to learn how to build a battery pack with thermal management new, efficient methods for battery parameter estimation. Register today 🔗 #eletrification #batterymanagementsystems #MATLAB

📣 Attn: Battery Engineers and Scientists - Join us on Feb 28th to learn how to build a battery pack with thermal management new, efficient methods for battery parameter estimation. Register today 🔗 #eletrification #batterymanagementsystems #MATLAB

Research Article Sequestration of Cd (II) utilizing biowaste-fabricated recyclable mesoporous magnetite (Fe3O4) nano-adsorbent: Process optimization, thermodynamic investigation, simulation modeling, and feasibility for electroplating effluent https://lnkd.in/eNYWx9a4

NEW BREAKTHROUGHS IN CTP PROPULSION RESEARCH Even without a physical lab, facility, or any capital behind me/CTP; I'm still making minimal to major/significant CTPR&D research progress from time to time. Earlier this morning I've made a new monumental discovery. A deeper understanding... Consulting one Drazen's prior comments to me many, many years ago... This one has to do with the magnetic fields required to address the physics or P-energy aspect of CTP Propulsion (CTPP) of a #CTPcraft and the #CTPenergy power systems that will be used for the CEMAS Generators and the overall CTP effect(s). I'm not going to go into the details of 'how' this works, however, I can say this alone (will) likely (may) cut at least 6-12 months off of future CTPR&D in the actual CTP aerospace hanger/labs to come later. #CTPMATSci will be the most tedious. Major breakthrough. A major significant research milestone crossed via C-domain. #newscience #propulsion #innovation #newtech #deeptech #deeptechstartup

📣 Attn: Battery Engineers and Scientists - Join us on Feb 28th to learn how to build a battery pack with thermal management new, efficient methods for battery parameter estimation. Register today 🔗 #eletrification #batterymanagementsystems #MATLAB

📣 Attn: Battery Engineers and Scientists - Join us on Feb 28th to learn how to build a battery pack with thermal management new, efficient methods for battery parameter estimation. Register today 🔗 #eletrification #batterymanagementsystems #MATLAB