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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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Mohanty, Sankhya
Technical University of Denmark
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (31/31 displayed)
- 2024Quantifying Intra-Tow Fiber Volume Fraction in GFRP::A Comparison of 3D Non-Destructive X-ray Computed Tomography and Destructive Optical Microscopy
- 2023Holistic computational design within additive manufacturing through topology optimization combined with multiphysics multi-scale materials and process modellingcitations
- 2022Increasing the productivity of selective laser sintering workflow by integrating cooling channels in the printing powder matrixcitations
- 2021Towards a digital twin of laser powder bed fusion with a focus on gas flow variablescitations
- 2020Resolving the effects of local convective heat transfer via adjustment of thermo-physical properties in pure heat conduction simulation of Laser Powder Bed Fusion (L-PBF)citations
- 2020Numerical investigation into the effect of different parameters on the geometrical precision in the laser-based powder bed fusion process Chaincitations
- 2020Numerical investigation into the effect of different parameters on the geometrical precision in the laser-based powder bed fusion process Chaincitations
- 2020Multi-metal additive manufacturing process chain for optical quality mold generationcitations
- 2020Laser polishing of additively manufactured Ti-6Al-4V: Microstructure evolution and material propertiescitations
- 2020Realistic design of laser powder bed fusion channelscitations
- 2020Microstructural modelling of above β-transus heat treatment of additively manufactured Ti-6Al-4V using cellular automatacitations
- 2020X-ray CT and image analysis methodology for local roughness characterization in cooling channels made by metal additive manufacturingcitations
- 2019Roughness Investigation of SLM Manufactured Conformal Cooling Channels Using X-ray Computed Tomography
- 2019Roughness Investigation of SLM Manufactured Conformal Cooling Channels Using X-ray Computed Tomography
- 2019Multi-material additive manufacturing of steels using laser powder bed fusion
- 2019A systematic investigation of the effects of process parameters on heat and fluid flow and metallurgical conditions during laser-based powder bed fusion of Ti6Al4V alloycitations
- 2019Build orientation effects on the roughness of SLM channels
- 2018Multiphysics modelling of manufacturing processes: A reviewcitations
- 2018Multiphysics modelling of manufacturing processes: A reviewcitations
- 2018Thermo-fluid-metallurgical modelling of laser-based powder bed fusion process
- 2018Modelling of the microstructural evolution of Ti6Al4V parts produced by selective laser melting during heat treatment
- 2018Thermo-fluid-metallurgical modelling of the selective laser melting process chaincitations
- 2018Numerical modelling and parametric study of grain morphology and resultant mechanical properties from selective laser melting process of Ti6Al4V
- 2018Defects investigation in additively manufactured steel products for injection moulding
- 2017Multi-objective optimization of cellular scanning strategy in selective laser meltingcitations
- 2017Laser additive manufacturing of multimaterial tool inserts: a simulation-based optimization studycitations
- 2016Improving accuracy of overhanging structures for selective laser melting through reliability characterization of single track formation on thick powder bedscitations
- 2016Reducing residual stresses and deformations in selective laser melting through multi-level multi-scale optimization of cellular scanning strategycitations
- 2015Cellular scanning strategy for selective laser melting: Generating reliable, optimized scanning paths and processing parameterscitations
- 2014Numerical Model based Reliability Estimation of Selective Laser Melting Processcitations
- 2013A finite volume alternate direction implicit approach to modeling selective laser melting
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article
Numerical investigation into the effect of different parameters on the geometrical precision in the laser-based powder bed fusion process Chain
Abstract
<p>Due to the layer-by-layer nature of the process, parts produced by laser-based powder bed fusion (LPBF) have high residual stresses, causing excessive deformations. To avoid this, parts are often post-processed by subjecting them to specially designed heat treatment cycles before or after their removal from the base plate. In order to investigate the effects of the choice of post-processing steps, in this work the entire LPBF process chain is modelled in a commercial software package. The developed model illustrates the possibilities of implementing and tailoring the process chain model for metal additive manufacturing using a general purpose finite element (FE) solver. The provided simplified computational example presents an idealised model to analyse the validity of implementing the LPBF process chain in FE software. The model is used to evaluate the effect of the order of the process chain, the heat treatment temperature and the duration of the heat treatment. The results show that the model is capable of qualitatively capturing the effect of the stress relaxation that occurs during a heat treatment at elevated temperature. Due to its implementation, the model is relatively insensitive to duration and heat treatment temperature, at least as long as it is above the relaxation temperature. Furthermore, the simulations suggest that, when post-processing, it is necessary to perform the stress relaxation before the part is removed from the base plate, in order to avoid a significant increase of the deformation. The paper demonstrates the capability of the simulation tool to evaluate the effects of variations in the process chain steps and highlights its potential usage in directing decision-making for LPBF process chain design.</p>