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Driving simulation accuracy with nonlinear analysis for better products

nonlinear analysis in femap

Nature is not linear. Effective engineering analysis often needs to go beyond basic linear simulation and analysis and include nonlinear effects to improve product design and manufacturing. Nonlinear analysis will help you achieve greater accuracy in predicting product behavior. It also reduces costly prototypes and physical testing.

In a webinar hosted by Chip Fricke, Principal Applications Engineer at Siemens, we explore when and how to best use nonlinear analysis to ensure accurate simulation results and improve the reliability and performance of your final product. We’ll provide you with a deeper understanding of the types and applications of nonlinear solutions techniques available with Simcenter Femap, providing a roadmap for deciding when nonlinear analysis is required, choosing the most appropriate nonlinear solution types and techniques, and the setting up, debugging, solving and optimization of nonlinear FEA analyses.

Watch the webinar on-demand →

Accelerate your simulation capabilities

Simcenter Femap is an advanced simulation application for creating, editing, and inspecting finite element models of complex products or systems. You can use advanced workflows in Simcenter Femap to model components, assemblies, or systems, to then determine a model’s behavioral response when subjected to real-world conditions.

To learn more about Simcenter Femap or start a 30-day free trial, visit siemens.com/femap.

Anthony Johnson

Anthony Johnson is a global marketing leader at Siemens Digital Industries Software, based in Washington, DC. His research and publishing spans a wide range of thought leadership topics across software and technology industries, including digital transformation, SaaS/cloud, artificial intelligence (AI), product design, performance engineering and smart manufacturing.

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This article first appeared on the Siemens Digital Industries Software blog at https://blogs.sw.siemens.com/simcenter/driving-simulation-accuracy-with-nonlinear-analysis-for-better-products/