CAENexus is a CAD-through-Report-Generation process automation and knowledge capture platform, purpose-built for CAE workflows to manage, automate, and scale the entire simulation lifecycle.
The rise of CAE has not reduced the importance of core engineering. In fact, it has increased it.
Automating repetitive tasks allows engineers to focus on critical innovation, reduce human error, and speed up the overall workflow.
A practical guide to enable mechanical and aerospace engineers to complete machine learning projects on simulation data, from start to finish.
Increase simulation agility, improve team efficiency, and reduce costs by automating computer aided engineering (CAE) tasks. This is especially true for computational fluid dynamics (CFD) analysis tasks, where routine workflows can be systematically analyzed, built into best practices, and refined.
In this article, PTC's Dave Martin examines the origin of Computer-Aided Engineering as the process of applying computer-assisted math-based analysis and simulation techniques to the product development process.
Fast and Cost-Effective Compressor Map Generation using Cloud-Based CFD
Fast and Cost-Effective Compressor Map Generation using Cloud-Based CFD
Proctor & Gamble democratizes simulation to a much broader user community, creating easy to use but intelligent apps to drive complex multi-step, multi-software workflows.
How does one company undertake the herculean challenge of testing a product in a working environment 500m underground and submerged under water? By discovering and leveraging cloud-based CAE for CFD simulations, of course. Learn how Design and Innovation Solutions was able to understand the behavior of the system at play and what decisions were made to have the best design.
