When figuring out thermal problems, engineers can draw from a variety of solutions. These include finite element analysis (FEA), finite different approaches, 1D thermal networks and thermal analysis ...

Digital Engineering reports on how design engineers can use simulation, computer-aided design, high-performance computing, PLM and 3D printing to optimize the design cycle.

3D Systems’ Jetted Denture Solution utilizes multiple materials in a single printing process resulting in a faster, more cost-effective and highly scalable alternative to traditional denture ...

The deal was first announced in January 2024; it was wrapped up this month. Synopsys has now completed the acquisition of Ansys, giving birth to a new leader with offerings that cover silicon design, ...

Keating compares AutoReview's AI-trained review system to a layered cake. The foundation layer comes from existing, publicly available LLMs (large language models). "Then we bring our own data sets on ...

Editor’s Note: Tony Abbey teaches live NAFEMS FEA classes in the U.S., Europe and Asia. He also teaches NAFEMS e-learning classes globally. Contact him at [email protected] for details. Buckling ...

Apply equivalent pressure distributions on a structure without needing direct constraint boundary modeling with the 3-2-1 method..

Earlier this year, HP introduced the fifth generation of its Z-series workstations, including its best-selling G4, timed to coincide with the release of the latest generation of Intel Xeon Sapphire ...

The latest release of AutoCAD 2025 arrived in late March, marking the 39th major version of its flagship CAD software. As we have come to expect, the announcement lacked fanfare, and the new release ...

Altair Looks to Artificial Intelligence for Engineering Optimization At Altair Future.Industry 2025, attendees learned about the vendor's plans for an AI-powered future for engineering workflows.

Use a simple global model to establish the boundary conditions to apply to a high-fidelity local model..

AI and ML Transforming Simulation Use of artificial intelligence and machine learning algorithms in FEA increase predictive performance, speed up processing time.