Mechanical Simulation-NX Advanced FEM.pdf

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Mechanical Simulation-NX Advanced FEM

NX Advanced FEM includes the fundamental modeling functions of automatic and manual mesh generation, application of loads and boundary conditions and model development and checking. NX Advanced FEM includes Assembly FEM technology, a distributed model approach to handle large FEM assemblies. A robust set of visualization tools generates displays quickly, lets you view multiple results simultaneously and enables you to easily print the display. In addition, extensive post-processing functions enable review and export of analysis results to spreadsheets and provide extensive graphing tools for gaining an understanding of results. Post-processing also supports the export of JT? data for collaboration across the enterprise with JT2Go and Teamcenter? for lifecycle visualization software. NX Advanced FEM provides seamless, transparent support for a number of industry-standard solvers, such as NX Nastran?, MSC Nastran, Ansys, Abaqus and LS-Dyna. For example, when you create either a mesh or a solution in NX Advanced FEM, you specify the solver environment that you plan to use to solve your model and the type of analysis you want to perform. The software then presents all meshing, boundary conditions and solution options using the terminology or “language” of that solver and analysis type. Additionally, you can solve your model and view your results directly in Advanced FEM without having to first export a solver file or import your results. ? Advanced FEM features data structures, such as the separate Simulation (.sim) and FEM (.fem) files that help facilitate the development of FE models across a distributed work environment. These data structures also allow analysts to easily share FE data to perform multiple types of analyses. ? The NX data model is designed to be fast and handle large amounts of data. Duplication of data is avoided and data is placed where it belongs – either on the mesh or on the elements. NX Advanced FEM NX Benefits Build models faster with embedded

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