![]() ![]() It has produced major productivity benefits for companies such as Yamaha in Japan and Stellantis in Europe – check out our recent Hexagon Design & Engineering Live 2021 conference AI/ML track for real-world examples from companies such as Ford, Faurecia, Autoliv, Mahindra and Eta. What has amazed me the most is the many customer examples inside Hexagon Design & Engineering where 3D CFD simulation data (and other 3D point physics simulation types like structures, acoustics, crash, materials, multibody dynamics…) trained inside ODYSSEE CAE has led to interpolated and optimised predictions in seconds rather than minutes, hours or days (and all do-able on a laptop!) This has involved 2, 3 and sometimes even higher orders of magnitude reductions of overall computational time to achieve these outputs. Hence, tens of millions of engineers and plant operators, and even the general public, could benefit from realtime CFD and CAE simulation! This is a game-changer for the CFD and CAE industries in my opinion by virtue of unleashing new levels of productivity without losing quality and opens the prospect of operational digital twins that can democratise trained CFD and CAE simulations to non-experts such as plant operators. ![]() ODYSSEE software can even fuse multiphysics ROM (reduced order model) data from different CAE solver types that typically would require very different timescales to converge due to the numerical intensity of their mathematical techniques – 3D FEA structures, 1D MBD, 3D FV CFD – in near real-time. Reducing complexity equates to increasing robustness in CAE models of any other process. ODYSSEE can actually measure the complexity of a model, a system or a process and uses a concept related to entropy in chemistry for robust optimisation of capabilities such as cost engineering in ODYSSEE A-Eye. ODYSSEE A-Eye can fuse data from different sources such as virtual CAE simulation, real world scanning data, and even photos and video images plus financial and costing data can even have ML and AI analysis applied in order to derive actionable outcomes very quickly! You can read more of how AI/ML has impacted metal forming simulation and costing inside Hexagon in this recent FormingSuite magazine article by my Canadian colleague, Mike Lee. Indeed, ODYSSEE CAE includes all capabilities to the left of machine learning on the diagram, as well as new and exciting capabilities and algorithms tailored for the CAE and manufacturing worlds. The diagram below shows the way modern AI/ML algorithms can be viewed in the context of this spectrum of DoE / PIDO / DSO tools and you can read more on the theory behind ODYSSEE in an AI/ML whitepaper released by Kambiz in 2020. These products both include and extend beyond trusted design space techniques like design of experiment (DoE), process integration and design optimisation (PIDO), and design space optimisation (DSO) that all have their place in CFD / CAE simulation workflows today but they are well over ten-year-old methodologies and technologies now. What Hexagon has done is to quickly take CADLM’s tried-and-proven general-purpose AI/ML algorithms for CAE embedded within their product suite called ODYSSEE CAE, and, along with a recently released product called ODYSSEE A-EYE extended even more into AI applications. ![]() CADLM is a fast-growing Paris-based ‘AI and ML for CAE’ simulation company run by Professor Kambiz Kayvantash. Since then, this area has still not really been democratised and the CFD world has continued on relatively unchanged until Hexagon acquired CADLM in April 2021.
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