PSI - Issue 34

Available online at www.sciencedirect.com Available online at www.sciencedirect.com ScienceDirect Structural Integrity Procedia 00 (2019) 000–000

www.elsevier.com/locate/procedia

ScienceDirect

Procedia Structural Integrity 34 (2021) 99–104

© 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the Esiam organisers Abstract The non-planar 3D printing of continuous fiber composites contains various uncertainties. To optimize the geometry of 3D printed structures, numerical optimization is increasingly used. However, if uncertainties are not taken into account, optimization can lead to results with low robustness. In this work, we present a novel approach to consider uncertainties in numerical modeling by introducing variability of material and physical parameters. We use the computationally inexpensive Certain Generalized Stresses Method as a stochastic method and we evaluate the robustness of different designs with respect to material and physical variabilities. We demonstrate the benefit of this novel uncoupled approach using the example of 2D-cantilever trusses. © 2020 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the Esiam organisers Keywords: Truss structures; Continuous fiber composites; Uncertainties; CGSM; Optimization 1. Introduction Continuous fiber composites are used in many industries due to their outstanding mechanical properties. In recent years, there has also been an increasing interest in 3D printing of continuous fiber composites which enable complex The second European Conference on the Structural Integrity of Additively Manufactured Materials 3D-printed continuous fiber reinforced polymers considering material and physical variability towards robust design C. Becker a,b, *, P. Lardeur a , P. Nicolay b , F. Druesne a a Université de technologie de Compiègne, CNRS, Roberval (Mécanique, énergie et électricité), Centre de recherche Royallieu - CS 60 319 - 60 203 Compiègne Cedex, France b Carinthia Institute for Smart Materials and Manufacturing Technologies (CiSMAT), Carinthia University of Applied Sciences, Europastr. 4, 9524 Villach, Austria

* Corresponding author. E-mail address: clarissa.becker@utc.fr

2452-3216 © 2020 The Authors. Published by ELSEVIER B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the Esiam organisers

2452-3216 © 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0) Peer-review under responsibility of the scientific committee of the Esiam organisers 10.1016/j.prostr.2021.12.015