💻 [German Webinar - Injection Molding Simulation] Präzise und schnelle Spritzguss Simulation ohne Kompromisse
IANUS introduces groundbreaking improvements in their simulation process, enabling more precise and efficient production planning and optimization.
Full 3D CFD Grids Without Compromise: Our latest software performs calculations on a full 3D CFD grid, avoiding simplifications that often lead to errors in simulation and ensuring higher resolution at binding seams.
Enhanced Two-Phase Simulation: Our software explicitly considers the air phase and allows for the examination of defined air exit points, significantly improving the identification of small air inclusions and the development of a real melt front.
Full Automation on Computing Clusters: All results are calculated and displayed automatically on powerful computing clusters, including customized reporting functions tailored to end-user requirements.
Cloud Computing and Parallel Processing: Utilizing German computing clusters, we offer a secure and efficient platform for injection molding simulations, paving the way for AI-based optimization.
Ansys SimAI is a cloud-enabled, physics-neutral platform that will empower users across industries to greatly accelerate innovation and reduce time to market. With Ansys SimAI, users will be able to reliably predict performance of complex simulation scenarios in mere minutes instead of hours or days. The tool will encourage more design testing, faster progress, and ultimately more innovation.
💧Reproducible & Replicable CFD: It's Harder Than You Think
Choosing an incorrect boundary condition with IBAMR resulted in spurious blockage of vortices at the outlet. Thanks to the support received in the code users' forum, this and other problems were resolved and we succeeded in replicating previous findings.
💻 Predictive Digital Twins: From physics-based modeling to scientific machine learning // Prof. Willcox
💧 ΦFlow - Open-Source Simulation Toolkit
ΦFlow is an open-source simulation toolkit built for optimization and machine learning applications. It is written mostly in Python and can be used with NumPy, PyTorch, Jax or TensorFlow.
💻 Engineering Tool of the Week – KRATOS Multiphysics
KRATOS Multiphysics ("Kratos") is a framework for building parallel, multi-disciplinary simulation software, aiming at modularity, extensibility, and high performance. Kratos is written in C++, and counts with an extensive Python interface.
Data driven discovery is revolutionizing how we model, predict. control complex systems. Now with Python and MATLAB®, this textbook trains mathematical scientists and engineers for the next generation of scientific discovery by offering a broad overview of the growing intersection of data driven methods, machine learning, applied optimization.
Topics range from introductory to research level material, making it accessible to advanced undergraduate and beginning graduate students from the engineering and physical sciences. The second edition features new chapters on reinforcement learning and physics informed machine learning, significant new sections throughout. chapter exercises.
