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PARAMETERS ON SUPPORT STRUCTURE DESIGN FOR METAL ADDITIVE MANUFACTURING

Part of: Design Methods

Published online by Cambridge University Press:  11 June 2020

S. Weber ,
J. Montero ,
M. Bleckmann  and
K. Paetzold
S. Weber*
Affiliation:
Bundeswehr University Munich, Germany Bundeswehr Research Institute for Materials, Fuels and Lubricants, Germany
J. Montero
Affiliation:
Bundeswehr University Munich, Germany Bundeswehr Research Institute for Materials, Fuels and Lubricants, Germany
M. Bleckmann
Affiliation:
Bundeswehr Research Institute for Materials, Fuels and Lubricants, Germany
K. Paetzold
Affiliation:
Bundeswehr University Munich, Germany
*
*s.weber@unibw.de

Abstract

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The topic of support structure design in the Design for Additive Manufacturing (DfAM) field is not addressed with the same relevance as the topic of part design. Therefore, this contribution investigates parameters for both the manufacturing and support structure design for the Laser Powder Bed Fusion (L-PBF) process. Matrices for cause-effect-relations of manufacturing and design parameters on build properties as well as correlations of them are presented. Based on these, recommendations for actions for experimental procedures are derived following the Design of Experiments method.

Keywords

additive manufacturing3D printingdesign for x (DfX)powder bed fusionsupport structure
Type
Article
Information
Proceedings of the Design Society: DESIGN Conference , Volume 1 , May 2020 , pp. 1145 - 1154
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2020. Published by Cambridge University Press

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