Tips & Tricks

How to simulate welding process with variable weld speed and Heat power ?

In real process, the user changes the velocity depending to the distance already covered or still to cover in welding process. To better reproduce the start and the end of a welding process, the velocity must be able to vary during at least these two phases as well as the heat source power. And to be more generic, this feature introduces a time dependency of the heat source velocity and its power density.

e-café #12 : L’outil de post traitement ESI PLAYER™

Découvrez comment exporter et exploiter les résultats de ProCAST™ ou QuikCAST™ dans l’interface ESI-PLAYER™

e-Café #7 - Maillage volumique avec Visual-CAST™ 16.0

Créez le maillage volumique à l’aide de la fonction Grid Definition dans Visual-CAST™ 16.0

e-Café #2 PYFUN, PYSTOP - Programmer ses propres critères d'arrêt de calcul

Comment programmer des critères d'arrêt de calcul en Python

e-café #5- Pilotage du refroidissement par thermocouple à l’aide de ProCAST™ et QuikCAST™

Pilotage du refroidissement par thermocouple à l’aide de ProCAST™ et QuikCAST™

e-café #4- Modélisation de l’emballage (Wrap) à l’aide de ProCAST™

Modélisation de l’emballage (Wrap) à l’aide de ProCAST™

e-café #3- Modélisation des opérations de poteyage et soufflage à l’aide Quik CAST™

Modélisation des opérations de poteyage et soufflage à l’aide Quik CAST™

Model clipping feature in CFD-VisCART and CFD-GEOM

For better visualization of the geometry and mesh, a model clipping feature was introduced in CFD-VisCART and CFD-GEOM V2013.0. The following sections illustrate the usage and benefits of this feature.

Improve Productivity Using Scripts [Video Format]

As simulations become more integrated with the design process, engineers often spend time on repeated operations that do not contribute to their productivity. There is a need for tools that could capture, preserve and transfer the knowledge within the organization or to its customers.

Parallel processing

“To pull a bigger wagon, it is easier to add more horses than to grow a gigantic horse.” This paraphrased quotation nicely expresses the basic concept of parallel processing. The speed of sequential computers has been doubling every eighteen months, according to Moore’s law. However, at any given time, that speed is limited by the state of the art in integrated circuit design and manufacturing. To circumvent that limitation, it is possible to split a given computationally intensive task among multiple processors working simultaneously.