P7UC2022 - Optimal Design of a New Ingot Casting Format скачать в хорошем качестве

P7UC2022 - Optimal Design of a New Ingot Casting Format

A new steel ingot casting format had to be designed. Here is the target to propose a feasible and optimal design with reduced segregation and centreline porosity in the as-cast ingot and on the other hand increase the metallic yield. By means THERCAST® the evolution of the filling and the solidification can be simulated and the quality of the ingot can be predicted – given a specific combination of geometry, process parameters and thermal boundary conditions. To investigate the impact of the geometry attributes (the mould, the ingot, the riser, riser insulation), the thermal and physical properties (riser insulation, hot topping), process parameters (steel grade, mass flowrate during filling, superheat) and analyse the responses of the simulation such a study would consume more than six months. In the scope of this investigation pSeven® was used to perform an automated closed-loop workflow in which Inventor® (CAD) and THERCAST® are integrated. PSeven® performs the parametrisation (geometrical, process and thermal data), triggers the automatic generation of CAD as well as the setup (meshing and parameters update) and launching of the THERCAST® computation. The responses from the virtual sensors are automatically acquired and are the basis for the next iteration. Using the design space exploration it was possible to gain a holistic understanding of the parameters interactions and relevance. In the further step the performed surrogate based optimisation enabled to create an optimal design of the ingot. This is performed in a record time of less than three weeks. More about pSeven and platform based projects read on the website: https://www.pseven.io #pSevenEnterprise #pSevenEnterpriseNewRelease #PredictiveModeling #PredictiveAnalytics #DesignExploration #MachineLearning #SimulationX #DigitalTwins #EnterprisePlatform #LowcodePlatform #ArtificialIntelligence