Greifenstein J, Stingl M (2016)

**Publication Type:** Book chapter / Article in edited volumes

**Publication year:** 2016

**Publisher:** Interesansa - zavod

**Edited Volumes:** Proceedings of the 6th international conference on additive technologies (iCAT 2016)

**City/Town:** Ljubljana

**ISBN:** 978-961-285-537-6

An important issue in additive manufacturing is

the reliability and reproducibility of parts. One major

problem in achieving this are uncontrolled local

variations in the obtained material properties which arise in the

complex manufacturing process and are usually not taken

into account in the design of components.

We consider the optimal layout of a part to withstand a

given loading, under the assumption that the local material

properties are not precisely known. The material

uncertainties are treated by a worst case approach. This

means that for each layout a given amount of defects in

material properties is distributed in the design domain, such

that the stiffness of the component is maximally weakened.

As a consequence, an optimization result is obtained which

is as insensitive as possible with respect to unknown

variations in the material parameters.

The general model is introduced and an algorithm for its solution using

gradient based methods is suggested. Finally,

numerical results are presented and discussed.

Jannis Greifenstein
Lehrstuhl für Angewandte Mathematik (Kontinuierliche Optimierung)
Michael Stingl
Lehrstuhl für Angewandte Mathematik (Kontinuierliche Optimierung)

**APA:**

Greifenstein, J., & Stingl, M. (2016). Robust optimal component design unter consideration of local material defects. In *Proceedings of the 6th international conference on additive technologies (iCAT 2016).* Ljubljana: Interesansa - zavod.

**MLA:**

Greifenstein, Jannis, and Michael Stingl. "Robust optimal component design unter consideration of local material defects." *Proceedings of the 6th international conference on additive technologies (iCAT 2016).* Ljubljana: Interesansa - zavod, 2016.

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