FRIENDSHIP SYSTEMS and Noesis Solutions have launched a direct integration for CAESES.
By automating the creation of simulation-ready geometries and the related engineering simulations, Optimus can evaluate a vast number of design variants in a limited time frame. This further extends the engineering insights delivered by simulation, enabling teams that use CAESES to identify leading candidate designs offering benchmark performance.
Design optimisation based on parametric geometry models
FRIENDSHIP SYSTEM’s geometric modelling technology is used by engineering teams whose ultimate goal is to design optimal flow-exposed products. Compared to traditional CAD tools, the creation of geometry variants using CAESES can be fully automated and is 100% robust, thanks to the dependency-based modelling approach. All generated geometries are clean and watertight, which is essential for running design studies that involve meshing and CFD simulation software on HPC clusters. At the same time, CAESES geometry models help engineering teams save computational time as they have fewer design parameters, while design constraints can be built directly into the CAESES geometry model itself.
The CAESES design variables are automatically shown in the Optimus GUI.
Direct integration between Optimus and CAESES enables users of both software products to automate the creation of geometry variants with just a few clicks. By running CAESES in batch mode, Optimus triggers the generation of geometry variants in the background with no graphical user interface involved. CAESES users only need to set up a reference geometry model, along with a set of design variables that control the geometry shape.
Using Optimus, design engineers typically perform Design of Experiments (DOE) to define a virtual experiment plan that acquires the most relevant design information possible with minimum simulation effort. Response Surface Modeling (RSM) condenses complex simulations to help design engineers fully understand the unexplored design space potential up-front. Finally, Optimus manages an automated and coordinated search to identify those design parameter values that meet a combination of multiple (often competing) performance targets. Throughout the process, Optimus consistently takes into account design constraints imposed by manufacturing realities and stringent regulatory and standardization requirements.
Identifying the best product design in the shortest time possible
Noesis Solutions CEO Naji El Masri said: “Optimus is known for capturing and automating simulation workflows without any programming skills. The new direct integration with CAESES makes it easier for Optimus users to parameterise any virtual design model and automate the execution of the entire simulation process, including the creation of robust geometry models
“This proven process frees engineers from repetitive tasks, enabling them to identify better performing designs much faster than through conventional methods. It strengthens manufacturers’ competitive edge by delivering the best product design in the shortest time possible while saving tremendously on engineering, manufacturing and material cost.”
FRIENDSHIP SYSTEMS CEO Dr Stefan Harries said: “With these new CAESES integration capabilities in Optimus, our joint users can immediately benefit from both solutions without scripting a single line. All the parameters from a CAESES model are directly accessible in the Optimus GUI, and can be controlled for running large design studies with parametric CAESES models. It’s amazing how easy this works, and hence will attract more engineers to introduce formal shape optimisation workflows.”