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Ansys nCode DesignLife Brochure

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1 STRUCTURES / nCode Design Code // / Powerful and Efficient User Interface/Experience Embedded - The all new Ansys nCode DesignLife user interface on the Ansys Workbench Platform provides end-to-end solutions in a single interface. Because it is natively integrated with other Ansys products on the Workbench Platform, you don't need to exit the Ansys Mechanical User Interface for pre/post-processing — you can run the powerful nCode solver engine in the background. Integrated - Customized nCode DesignLife workflows are well- integrated with other Ansys products on the Workbench Platform, so you can transfer FEA result files directly to the nCode user interface. You can also perform parametric studies by linking nCode integrated workflows with Ansys DesignXplorer or Ansys optiSLang. Independent - Access nCode's user interface directly f rom the Ansys Workbench Platform and easily access results f rom Ansys, Glyphworks and FEA coming f rom other tools. Ansys nCode DesignLife Ansys partnered with HBK to bring unparalleled simulation-based durability technology to the Ansys Workbench Platform with the intention of providing end-to-end solutions to customers for whom fatigue failure is a challenge. STRUCTURES • End-to-end durability solution on one platform • Simulation-led design — reduces reliance on physical testing • Flexible and easy-to-use user interface • Reduction in overall product development and validation costs • Unparalleled accuracy and technology / Industry Benefits / Product Packaging and Licensing PRO - Stress life and strain life competency (limited) on Ansys nCode DesignLife embedded user interface + nCode material library PREMIUM - Core functionality + Solver Engines–Standard + Solver Engines–Additional on all available user interface ENTERPRISE - Core functionality + Solver Engines–Standard + Solver Engines–Additional + Solver Engines-Advanced on all available user interfaces PARALLEL • Processing Threads can work in parallel on machines with multiple processors. • Distributed Processing enables an analysis running in batch mode to be distributed across multiple computers or nodes of a compute cluster.

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