@inproceedings{f4d4d18fe43a4d1eaa40da1f9ea2d481,
title = "A mold insert case study on topology optimized design for additive manufacturing",
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.",
author = "M. Sinico and R. Ranjan and M. Moshiri and C. Ayas and M. Langelaar and A. Witvrouw and {van Keulen}, F. and W. Dewulf",
year = "2019",
language = "English",
series = "Solid Freeform Fabrication Symposium Proceedings",
pages = "1921--1931",
booktitle = "Proceedings of the 30th Annual International Solid Freeform Fabrication Symposium",
publisher = "The University of Texas at Austin",
note = "30th Annual International Solid Freeform Fabrication Symposium - An Additive Manufacturing Conference (SFF 2019) ; Conference date: 12-08-2019 Through 14-08-2019",
}