Optimize lattice structures for lightweighting with design automation
Published on April 23, 2021
Key Software Capabilities
- Field Optimization
- Design automation
By combining structural lattices with Additive Manufacturing, mechanical design engineers can achieve unprecedented weight reduction, increasing part performance, saving material and reducing manufacturing costs. Yet, with so many design variables — from thickness, to unit cell type and size — selecting the right lattice is not an easy task.
In this nTop Live, Alejandro Lopez, Application Engineer at nTop, shows you how to set up an automated design of experiments (DoE) to identify the lattice structure that meets your application requirements. He uses a simple Python script and nTop Automate — nTop's Command Line Interface — to achieve a truly optimal result.
Watch and learn how to:
- Select the optimal lattice type and thickness based on design requirements
- Create and run an automated DoE using nTop Automate and a Python script
- Balance weight, structural, and manufacturing requirements
Download the files
Recreate the steps that Alejandro followed in this nTop Training. To download all the necessary files for this training, please see this link.
Lightweighting aircraft seat legs with AM
Transforming aerospace design: Optimizing airplane seat brackets
5 reasons why you should use nTop to create heat exchangers
- PRODUCT UPDATE
Get an inside look at your complex designs with object transparency
How additive manufacturing can revolutionize jigs and fixtures for aerospace and defense