Siemens FEMAP 11

Description

The latest release of Femap, version 11, provides more efficient postprocessing by allowing external results files to attach to the Femap database for data access, supplies improved graphics performance particularly when manipulating large models, supports external superelement creation and assembly runs, brings the ability to create surface geometry from an existing shell mesh, delivers an streamlined XY plotting capability, continues to extend support for NX Nastran and Nastran in general, and provides many customer driven enhancements. Interactively supports a broad range of capabilities The range of capabilities in the base module includes linear and statics, normal modes, buckling, basic nonlinear and heat transfer. In addition NX Nastran for Femap includes additional options for dynamics – that includes transient/dynamic, frequency/harmonic response, response spectrum, random response DDAM (Dynamic Design Analysis Method) – as well as advanced nonlinear analysis, aeroelasticity, superelements, optimization, rotor dynamics and DMAP (Direct Matrix Abstraction Program). The product configuration provides a wealth of functionality in the base module as well as allowing for great flexibility and scalability extending to the most advanced types of analysis that are able to handle the toughest engineering problems. .Femap with NX Nastran - Optimization Designing and producing innovative products that meet performance criteria is a goal of every manufacturer. Using optimization techniques, engineers can improve a proposed design, resulting in the best possible product for minimum cost. Because your designs may have hundreds of variable parameters with complex interrelationships, finding an optimal design through manual iterations is hit-or-miss at best. The Femap with NX Nastran Optimization module relieves the burden of improving product designs by automating the iterative process of comparing performance against specifications. Another important aspect of finite element modeling is the ability to tune the model to best match known test results. The Optimization module can be used to tune the FE model to do just this, and ensuring high quality results from subsequent analyses.

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