English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Additive manufacturing is advantageous for producing lightweight componentswhile addressing complex design requirements. This capability has beenbolstered by the introduction of unit lattice cells and the gradation of thosecells. In cases where loading varies throughout a part, it may be beneficial touse multiple, distinct lattice cell types, resulting in multi-latticestructures. In such structures, abrupt transitions between unit cell topologiesmay cause stress concentrations, making the boundary between unit cell types aprimary failure point. Thus, these regions require careful design in order toensure the overall functionality of the part. Although computational designapproaches have been proposed, smooth transition regions are still difficult toachieve, especially between lattices of drastically different topologies. Thiswork demonstrates and assesses a method for using variational autoencoders toautomate the creation of transitional lattice cells, examining the factors thatcontribute to smooth transitions. Through computational experimentation, it wasfound that the smoothness of transition regions was strongly predicted by howclosely the endpoints were in the latent space, whereas the number oftransition intervals was not a sole predictor.

Smoothing the Rough Edges: Evaluating Automatically Generated Multi-Lattice Transitions