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Python: The Key to Generate Complex FE Models

Python: The Key to Generate Complex FE Models

 

Webinar Presentation (PDF) I Webinar Recording (WebEx)

Note: The presentation and recording are only available to NAFEMS members.

Overview

The development of numerical models for industrial or scientific applications often requires the generation and handling of complex geometries, meshes, etc. Creating these complex numerical models by hand is extremely time consuming in some cases, and not even feasible in many others. One of the most adopted approaches to automate the design and setup of numerical models is the use of programming languages, such as Python. By means of scripts we can automate all the operations required to define our numerical model very fast and efficiently saving lots of time. These automation capabilities are not only limited to the pre-process stage of the model but are also applicable to the postprocessing of the results and the data reduction step. In fact, the possibilities are endless.

 

There was so much interest in this webinar and so many questions, we simply ran out of time and was not able to respond to them all live, during the event. The unanswered questions can therefore be found below.

Q&A Responses

 

 

Webinar Presentation (PDF) I Webinar Recording (WebEx)

 

Note: The presentation and recording are only available to NAFEMS members.

This webinar was available for free to the engineering analysis community, as part of NAFEMS' efforts to bring the community together online.

About our speaker:

Miguel Herraez 

 

 

Miguel Herraez got his BSc on Mechanical Engineering in 2011 after completing an internship in WVU (West Virginia, US).

During his Phd, Miguel collaborated as visiting researcher at NASA Langley (Virginia, US). Upon completion of his Phd on Computational Micromechanics of Composites, he worked as a Postdoc at EPFL (Switzerland) in the development of high-fidelity models of laminated composites.

In 2020 he founded the TecnoDigital School which provides technical training in the field of numerical simulation using finite elements combined with automation and programming capabilities.

His contribution in the field of numerical analysis of composite materials is translated into more than 20 peer-reviewed publications. His doctoral thesis was awarded with the Polytechnic University of Madrid best Phd thesis, the AEMAC best Phd award and the SEMNI award. He is also the developer of the software Viper for the generation of artificial 2D microstructures and FE model generation.