San Rafael, CA USA Jan 16 - Novus Nexus, the leader for easy and robust simulation process automation, announces the release of CAENexus Version 2.6, a significant update that introduces low/no-code, broad access automation of CAE reports, enhances efficiency, and elevates the ease-of-use for analysts automating simulation processes. 

CAEReport Automation: Seamless, Simple Post-processing and Report Generation 

The star enhancement of CAENexus 2.6 is the optional CAEReport capability, empowering users to automate post-processing and report generation for CAENexus-supported solvers with the same ease as the CAD-to-solver process.  CAEReport automatically creates reports by calling on either already available post-processors or VCollab. This breakthrough automation feature is configurable in an Abstract Model (geometry-independent simulation template) together with the pre-processing automation.  This enables the highest level of flexibility and adaptability in automating the full spectrum of simulation processes and truly generalizes the possibility for end-to-end automation in our users' preferred environments.  

With CAEReport, users can effortlessly customize and automate comprehensive reports by harnessing the power of Abstract Models, ensuring a consistent and standardized reporting process across different post-processor environments. This not only accelerates the reporting workflow but also enhances the accuracy and reliability of simulation results, delivered via email immediately when ready. 

Usability Enhancements: Abstract Model Blocks, CSV Part List Export, and More 

Novus Nexus is committed to enhancing user experience, and CAENexus Version 2.6 stands as a testament to that commitment.  

The introduction of Abstract Model Blocks gives users a modular approach to configure and adapt comprehensive simulation templates.  This new feature lets users easily replace e.g., load cases, boundary conditions, mesh sizes, or materials while the rest of the simulation set-up remains the same.  

The new .CSV part list export/import capability enables users to export CAD part lists, add or change abstract model attribute tags with ease in a spreadsheet, and seamlessly reimport them into CAD models. This feature streamlines the annotation process, offering a more efficient and user-friendly way to manage and organize simulation data. 

In response to user feedback, CAENexus Version 2.6 introduces another key enhancement by reducing the number of abstract model classes necessary.  With this novel improvement, abstract models become smaller, easier to understand and can better support the abstract model blocks concept.  Classes previously needed e.g., for materials or mesh parameters can now alternatively be specified as properties, defined either in the abstract model or as an attribute on the CAD model. This offers more flexibility when creating the abstract model and makes these geometry independent simulation setups more versatile. 

Overall, these enhancements not only save time but also provide users with a more comprehensive and flexible simulation environment, catering to a wide range of engineering needs. 

Availability and Additional Information 

CAENexus Version 2.6 is now available to all customers and for use on all pilot projects. For more detailed information about the latest features, improvements, and system requirements, please visit and contact us at novusnexus.com. 

About Novus Nexus 

Novus Nexus is the technology leader for easy and robust automation of simulation processes. CAENexus, our unique “No-Code” automation processor, enables simulation automation with minimal effort. Simulating better with us, customers considerably increase their simulation throughput with their existing teams, make correct design decisions faster, and streamline development processes, significantly raising their organization’s competitiveness. Novus Nexus solutions work with various CFD and FEA solvers, naturally capture simulation know-how for consistent application of best practices, enable CAD designers to run dependable simulations, and optimize the use of simulation resources, both human and software.