Looking beneath the surface and not just scratching the surface of the iceberg?
Thanks to Autonomous Optimization it is easy to discover previously hidden and potential solutions. Dive deep into the potential of SIGMASOFT® Virtual Molding, gain new insights and expand the considered area of the theoretically possible many times over.
The basis for the Autonomous Optimization is a virtual DoE, which offers much more possibilities due to a different simulation approach.
Autonomous Optimization: Specify your goals and SIGMASOFT® Virtual Molding finds the optimal way to achieve them - autonomously.
If a simulation is used at the beginning of a project, cost estimation can determine the success of your project at an early stage. If the use of simulation is new, existing projects are often recalculated first. If the results are correct, first changes are implemented and confidence increases. Recalculation is an obvious way of working and experienced developers usually make successful decisions with it. But it has not yet been optimized or, even better, hidden savings potentials such as material usage, cycle time, and energy consumption have been uncovered.
...mostly unrealistic in reality, but quite easy to implement with SIGMASOFT®. Thanks to Autonomous Optimization, a defined test series can be calculated automatically. The results are visualized in a parallel coordinate diagram. Using sliders, the various parameters can be adjusted and, depending on the focus, your optimal solution is quickly and easily identified.
Successful injection molding simulation requires the direct contact between the users and a competent engineering team. Therefore, our solution service, our customer support as well as our application-oriented software developers work closely together with you for your success!