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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Ayas, Can
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Topics
Publications (8/8 displayed)
- 2023Holistic computational design within additive manufacturing through topology optimization combined with multiphysics multi-scale materials and process modellingcitations
- 2023Design for material properties of additively manufactured metals using topology optimizationcitations
- 2022Combined effects of stress and temperature on hydrogen diffusion in non-hydride forming alloys applied in gas turbinescitations
- 2021Hydrogen diffusion under the effect of stress and temperature gradients
- 2019A mold insert case study on topology optimized design for additive manufacturing
- 2019Topology optimization of an injection mold insert with additive manufacturing constraints
- 2019Improving the manufacturability of metal AM parts
- 2010A continuum framework for grain boundary diffusion in thin film/substrate systemscitations
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document
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.<br/>Introduction