Synopsys has developed a simulation-driven framework for optimizing dynamic manufacturing processes in actual time. This framework, highlighted on the latest Microsoft Ignite occasion, has already been deployed by Krones, a provider of built-in packaging and bottling line programs, to create a bodily correct digital meeting line with optimization outputs accounting for variables equivalent to bottle form, liquid viscosity and fill stage.
Optimizing manufacturing workflows in actual time has been a longstanding problem for producers working with applied sciences equivalent to typical computational fluid dynamic simulation. Whereas these simulations present highly effective, high-fidelity insights, they will take hours to finish.
Synopsys claims its framework’s use of Ansys Fluent fluid simulation software program can minimize simulation workloads from three to 4 hours to lower than 5 minutes. In accordance with the corporate, OpenUSD, a high-performance extensible software program platform for collaboratively setting up animated 3D scenes, is essential to the framework through its provision for interoperability throughout computer-aided engineering (CAE) instruments and platforms, enabling groups to collaborate and iterate on simulation outcomes.
Ansys channel accomplice CADFEM personalized the Ansys Fluent solver settings to Krones’ necessities, leading to efficiencies that amplified GPU acceleration. Utilizing Nvidia’s Omniverse libraries, Ansys Entry on Microsoft Azure and SoftServe‘s system integration and deployment experience, the Krones engineering group seen these close to real-time simulation outcomes inside a digital twin of a full manufacturing unit ground.
“This framework is a testomony to how cross-industry collaboration and open ecosystem partnerships are reshaping the way forward for industrial innovation,” mentioned Prith Banerjee, senior vp of simulation and evaluation incubation at Synopsys.
