Engineering.com’s roundup of simulation news for the week of Jan. 15/24.
Ansys announces it aims to be acquired by Synopsys
When the engineering simulation company Ansys makes financial news, it’s typically because it bought another company to fill in its technology gaps. EDA company Synopsys, however, has flipped the script as it is now aiming to acquire Ansys.
The driving factors behind this move are the added complexity of products and services due to electrification, edge computing and AI trends. As such, engineers need to simultaneously assess both the mechanical and electrical systems of their designs to ensure everything works properly together. By combining efforts, Ansys and Synopsys can improve this workflow. For an in-depth look on this announcement, read this engineering.com article.
Siemens unveils Simcenter 3D Smart Virtual Sensing
It isn’t always easy, practical or cost effective to measure real world systems. Perhaps a smelter gets so hot that it would melt any thermocouple? Perhaps a fluid flow is so fast and chaotic it would break a flow meter?
That is why Siemens Digital Industries Software created Simcenter 3D Smart Virtual Sensing. The tool uses physical measurements and reduced order finite element models (FEMs) simulations to take sensor readings in unmeasurable locations. These measurements can then be used to optimize workflows, manufacturing processes and product performance. The benefit goes beyond measuring what can’t be measured. The tool can also reduce the need for physical sensors, reducing hardware costs and implementation time.
AI-based simulation powered by on-demand HPC
Rescale, providers of cloud-based, on-demand, high-performance computing (HPC), or HPC-as-a-service, have partnered with the 3D deep learning company, Neural Concepts, to offer engineers on-demand, AI-assisted 3D simulations.
Engineers that use AI to predict simulation results can quickly optimize product configurations, get answers to their design questions and assess assets in the field. The challenge is that training these AI models tends to require significant HPC resources. By combining Neural Concept Shape, an AI platform for product design, with Rescales HPC-as-a-service tools, engineers can affordably train these models faster. For an in depth look at this announcement, read this on engineering.com.
Novus Nexus Announces CAENexus Version 2.6
Version 2.6 of Novus Nexus’ simulation solution suite, CAENexus, has now been released. CAENexus is designed to help engineers template their simulation pre-processing so they can be reusable for various geometries. It also offers automated CAD-to-solver processes, via abstract modeling, to make it faster and easier to run simulations.
Version 2.6 of the software extends the philosophy of CAENexus by automating the post-processing and report generation of simulations via CAEReport. This new capability aims to offer the same ease of use of the software’s CAD-to-solver process by giving engineers the ability to make in-house automations that produce customized reports. All that is needed is the CAD geometry, then the automated tools in CAENexus can ready the geometry for a solver, produce final results and write the report once the solution is complete.
