The MBD team at Toyota Motor Europe R&D is responsible for technical development of simulation methods and their deployment. This webinar defines the overall vision of the engineering data management solution, its extension to SPDM and results that have been measured.
This webinar highlights the benefits of using artificial intelligence in the design of vehicle crash structures as well as occupant kinematics in future autonomous vehicles.
This webinar shows how PAX could automate pre-processing and report generation with a similar effort as usually needed for setting up a single simulation in traditional simulation environments. As result, PAX can execute as many simulations as fast as the capacity of their servers allows.
This webinar showcases how Maya HTT clients are successfully utilizing data and enabling non-data scientists to leverage AI technologies. Those looking to understand what industrial IoT and AI can bring to an engineering organization are encouraged to view this webinar.
Hear how Caterpillar is leveraging simulation to allow their designers and engineers to do just that – a Heavy Industrials Case Study is presented by Sam Showman of Caterpillar.
This webinar discusses the advantages of applying a low code application development platform that effectively makes Excel spreadsheets behave like modern enterprise applications (that can be integrated into workflows if needed), eliminating Excel’s weaknesses and providing a far higher level of comfort that these tools are functioning correctly, consistently and securely.
This webinar will discuss the advantages of using automated validation to generate a descriptive system model with synchronized structure and behavior and illustrate ways in which this information can be transformed to support modeling and simulation. The use of models for failure analysis, sprint planning, and classification/data rights management will also be discussed.
This webinar recording brings together all of the emerging simulation technologies in systems thinking and MBE to look at how they will contribute to advancing engineering simulation techniques in support of Industry 4.0 and 5.0. Advanced simulation technologies and data analytics will be exploited in conjunction with cognitive computing and Cyber-Physical Systems (CPS) comprised of interacting digital, analog, physical, and human components such as autonomous vehicles and collaborative robots.
This webinar recording includes a case study in which the goal was the development of a mathematical model for supporting condition-based maintenance (CBM) decisions. The model was designed for estimating the remaining fatigue service life of high-value mechanical components, given their service history and that specific flaws (such as corrosion defects) have been discovered in them, thus enabling CBM to move damaged component removals from unscheduled to scheduled maintenance action.
