Efficient numerical modeling of 3D-printed lattice-cell structures using neural networks-Reference-Cited by-同舟云学术

Efficient numerical modeling of 3D-printed lattice-cell structures using neural networks

Published:2018-01 Issue: Volume:15 Page:147-150
ISSN:2213-8463
Container-title:Manufacturing Letters
language:en
Short-container-title:Manufacturing Letters

Author:

Koeppe Arnd^ORCID,Hernandez Padilla Carlos Alberto,Voshage Maximilian,Schleifenbaum Johannes Henrich,Markert Bernd

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Mechanics of Materials

Reference9 articles.

1. Meiners W, Poprawe R. Direktes selektives Laser-Sintern einkomponentiger metallischer Werkstoffe. Zugl.: Aachen, Techn. Hochsch., Diss., 1999; 1999.

2. Cellular design for laser freeform fabrication;Rehme,2010

3. Wohlers report 2014: 3D printing and additive manufacturing state of the industry annual worldwide progress report;Wohlers,2014

4. Multilayer feedforward networks are universal approximators;Hornik;Neural Netw,1989

5. Model reduction and submodelling using neural networks;Koeppe;PAMM,2016

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