A mold insert case study on topology optimized design for additive manufacturing

Conference Paper (2019)
Author(s)

M. Sinico (Katholieke Universiteit Leuven)

Rajit Ranjan (TU Delft - Computational Design and Mechanics)

M. Moshiri (Technical University of Denmark (DTU))

C. Ayas (TU Delft - Computational Design and Mechanics)

Matthijs Langelaar (TU Delft - Computational Design and Mechanics)

A. Witvrouw (Katholieke Universiteit Leuven)

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

W. Dewulf (Katholieke Universiteit Leuven)

Research Group
Computational Design and Mechanics
Copyright
© 2019 M. Sinico, R. Ranjan, M. Moshiri, C. Ayas, Matthijs Langelaar, A. Witvrouw, A. van Keulen, W. Dewulf
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 M. Sinico, R. Ranjan, M. Moshiri, C. Ayas, Matthijs Langelaar, A. Witvrouw, A. van Keulen, W. Dewulf
Research Group
Computational Design and Mechanics
Pages (from-to)
1921-1931
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Abstract

The Additive Manufacturing (AM) of injection molding inserts has gained popularity during recent years primarily due to the reduced design-to-production time and form freedom offered by AM. In this paper, Topology Optimization (TO) is performed on a metallic mold insert which is to be produced by the Laser Powder Bed Fusion (LPBF) technique. First, a commercially available TO software is used, to minimize the mass of the component while ensuring adequate mechanical response under a prescribed loading condition. The commercial TO tool adopts geometry-based AM constraints and achieves a mass reduction of ~50 %. Furthermore, an in-house TO method has been developed which integrates a simplified AM process model within the standard TO algorithm for addressing the issue of local overheating during manufacturing. The two topology optimized designs are briefly compared, and the advantages of implementing manufacturing constraints into the TO algorithm are discussed.
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