Improving the manufacturability of metal AM parts

Journal article (2019)

Authors

Mirko Sinico Katholieke Universiteit Leuven
R. Ranjan Computational Design and Mechanics - Mechanical, Maritime and Materials Engineering
M. Moshiri Technical University of Denmark (DTU)
C. Ayas Computational Design and Mechanics - Mechanical, Maritime and Materials Engineering
Matthijs Langelaar Computational Design and Mechanics - Mechanical, Maritime and Materials Engineering
A. van Keulen Computational Design and Mechanics - Mechanical, Maritime and Materials Engineering
W Dewulf Katholieke Universiteit Leuven
A. Witvrouw Katholieke Universiteit Leuven
Research Group
Computational Design and Mechanics (Mechanical, Maritime and Materials Engineering) (TU Delft)
Copyright: © 2019 Mirko Sinico, R. Ranjan, Mandana Moshiri, C. Ayas, Matthijs Langelaar, A. van Keulen, Wim Dewulf, Ann Witvrouw
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Published Date

2019

Language

English

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Faculty

Mechanical, Maritime and Materials Engineering

Department

Precision and Microsystems Engineering

Research Group

Computational Design and Mechanics

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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