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NaxToPy, NaxToDoc & NaxToCell: FEA Automation
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33 students

NaxToPy, NaxToDoc & NaxToCell: FEA Automation

Continue after NaxToView: learn NaxToDoc, NaxToCell and NaxToPy for FEA reporting, data analysis and automation.
Last updated 9/2026
English
English [Auto],

What you'll learn

  • You will learn how to create and update FEM reports more easily and efficiently using Microsoft Office tools and the automation of repetitive tasks.
  • You will learn how to use NaxTo to manage and organize FEA results directly from Microsoft Office with NaxToDoc and NaxToCell.
  • You will learn how to work with NaxToDoc, NaxToCell and NaxToPy, NaxTo modules for reporting, data management and Python-based automation.
  • Extract images from .inp, .odb, .bdf, .dat, .op2, .xdb, .h5, .fem, .h3d and .rst files into Word, Excel and PowerPoint with NaxToDoc.
  • You will learn how to link result files directly to Excel cells using NaxToCell, so you can extract and update FEM results just like any other Excel formula.
  • You will learn how to read, store and manipulate FEM results with NaxToPy, using a consistent Python syntax across different solvers.
  • You will learn how to use Python-based workflows to automate repetitive FEA post-processing tasks.

Course content

3 sections • 17 lectures • 1h 2m total length
  • User Guide0:08

    In the next class you will find the NaxToPy user guide.

    With this document you will learn the basics to start using NaxToPy (loading model, mesh, structural results, array results, modules, and examples).

    In the resources section you will find the NaxToPy User Guide in PDF format.

  • Introduction to Naxtopy and Loading a Model2:33

    Welcome to Naxtopy! In this video, you'll learn how to install NaxToPy, load a finite element model, and discover how this tool can revolutionize data management in structural analysis.

    We will use a Jupyter notebook throughout this tutorial. You can download the notebook along with the rest of the materials from the materials section.

  • Working with the Mesh in Naxtopy8:52

    Welcome to Naxtopy! In this video, you’ll learn how to work with your model’s mesh, access element data, and apply specialized methods to simplify structural analysis.

    We will use a Jupyter notebook throughout this tutorial. You can download the notebook along with the rest of the materials from the materials section.

  • Understanding the Results Structure7:19

    In this video, you will learn how to access model results, understand load case structures, and use Naxtopy’s tools for detailed analysis.

  • NaxToPy Materials0:05
  • Retrieving Results Arrays2:49

    In this video, you'll learn how to retrieve results arrays, customize the returned data, and efficiently analyze them using advanced Naxtopy methods.

  • Generating Reports and Logs4:17

    In this video, you’ll learn how to generate result reports and manage error and warning logs in Naxtopy. These tools will help you keep your analysis organized and efficient.

Requirements

  • Just interest for start postprocessing with NaxTo in a smartest way!
  • It is strongly recommended to complete the course “Learn how to use NaxTo. Take your FEM analysis to the next level” before taking this course.

Description

Take the next step in your NaxTo learning path.


This course follows NaxToView: FEA Post-Processing Essentials and focuses on using NaxTo’s tools to transform FEM and FEA results into technical reports, connected Excel workflows and Python-based automation.


You will learn how to use NaxToDoc, NaxToCell and NaxToPy to create, update and automate engineering deliverables directly from your FEA result files. Work more efficiently with NASTRAN, ABAQUS, OPTISTRUCT and ANSYS result data, without repeatedly reopening the original viewer.


With NaxToDoc, you will extract and update images from simulation results in Microsoft Word, Excel and PowerPoint. With NaxToCell, you will link result files directly to Excel cells using intuitive user-defined functions, making it easier to extract, update and manipulate results in automated calculation sheets. With NaxToPy, you will read, store and manipulate FEM data in Python using a consistent syntax across different solvers, helping you automate repetitive post-processing workflows.

This course includes step-by-step demonstrations, practical exercises, FEM models and Office templates, allowing you to apply each workflow and adapt it to your own projects.


Recommended prerequisite

This is the second course in the NaxTo learning path. Before starting, we recommend completing NaxToView: FEA Post-Processing Essentials. That course provides the essential foundations for installing and activating NaxTo, navigating FEM models, visualizing results and working with NaxToView.


What you will learn

  • Use NaxToDoc to extract and update result images in Microsoft Word, Excel and PowerPoint.

  • Work with results from NASTRAN, ABAQUS, OPTISTRUCT and ANSYS files.

  • Use NaxToCell to link FEM results directly to Excel cells.

  • Create automated calculation sheets and keep extracted results up to date.

  • Use NaxToPy to read, store and manipulate FEA data in Python.

  • Build repeatable Python workflows for FEA post-processing and automation.

  • Practice with example models and Office templates.


Course structure

NaxToDoc — Extract images to Microsoft Office
Learn how to extract images from result files—including .inp, .odb, .bdf, .dat, .op2, .xdb, .h5, .fem, .h3d and .rst—into Microsoft Word, Excel and PowerPoint. You will also learn how to update those images when the finite-element model changes, helping you keep technical documents current.

NaxToCell — Link results to Excel cells
Learn how to connect result files directly to Excel cells, extract and update FEA results efficiently, and build calculation sheets that update automatically. Practical exercises and complementary Excel workbooks are included.

NaxToPy — Python library for automation
Learn how to read results from common FEM solvers with a consistent Python syntax, store and manipulate data, and automate repetitive post-processing tasks through Python-based workflows.

Models and templates to practice
Access practical FEM models and Microsoft Office templates for Word, Excel and PowerPoint, so you can continue practising and adapt the workflows to your own engineering projects.

Who this course is for:

  • FEA users that want to improve their processes