Improving the manufacturability of metal AM parts

Journal Article (2019)
Author(s)

Mirko Sinico (Katholieke Universiteit Leuven)

Rajit Ranjan (TU Delft - Computational Design and Mechanics)

Mandana Moshiri (Technical University of Denmark (DTU))

Can Ayas (TU Delft - Computational Design and Mechanics)

Matthijs Langelaar (TU Delft - Computational Design and Mechanics)

Fred van Keulen (TU Delft - Computational Design and Mechanics)

Wim Dewulf (Katholieke Universiteit Leuven)

Ann Witvrouw (Katholieke Universiteit Leuven)

Research Group
Computational Design and Mechanics
More Info
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Publication Year
2019
Language
English
Research Group
Computational Design and Mechanics
Issue number
5
Volume number
2019
Pages (from-to)
23-28
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Abstract

Numerous challenges of additive manufacturing (AM) are tackled in the European Horizon 2020 project PAM^2 by studying and linking every step of the AM process cycle. For example, PAM^2 researchers from the design, processing and application side have collaborated in this work to optimise the manufacturability of metal AM parts using an improved Topology Optimisation (TO) approach, including a thermal constraint. Additionally, the project is focusing on modelling, post-processing, in- and post-process quality control and industrial assessment of AM parts, with the aim of moving beyond the state-of-the-art of precision metal AM.

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