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Upgrading analytical models to predict the onset of degradation in selective laser sintering

Ruben Vande Ryse (UGent) , Mariya Edeleva (UGent) , Aico Patoor, Frederik Pille (UGent) , Dagmar D'hooge (UGent) and Ludwig Cardon (UGent)
(2024) VIRTUAL AND PHYSICAL PROTOTYPING. 19(1).
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Abstract
The optimisation of selective laser sintering (SLS) of polymeric materials, based on analytical equations providing fast predictions, can broaden the SLS application area. However, the selection of SLS polymeric materials is currently rather limited, due to specific requirements regarding sufficient flowability and limited molecular degradation. The present work highlights that upgrading existing analytical equations, by incorporating a well-calculated overlay factor and correcting for pre-heating starting at ambient conditions, can accelerate SLS screening. Model validation is performed based on density, colorimetric, morphological and mechanical analysis of printed parts, focusing on the prediction of the laser power which corresponds to the onset of degradation, taking polyamide powder as a reference case. Furthermore, the optimised model is successfully applied for two other polymer powders, namely thermoplastic co-polyester and thermoplastic polyurethane powder, to highlight a better overall description of the SLS degradation mechanism.
Keywords
Industrial and Manufacturing Engineering, Computer Graphics and Computer-Aided Design, Modeling and Simulation, Signal Processing, Laser sintering, analytical modelling, degradation, additive manufacturing, polymer material, POWDER BED FUSION, MECHANICAL-PROPERTIES, ENERGY DENSITY, MICROSTRUCTURE, POLYAMIDE, REGION, OPTIMIZATION, REFLECTANCE, MORPHOLOGY, POLYMERS

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MLA
Vande Ryse, Ruben, et al. “Upgrading Analytical Models to Predict the Onset of Degradation in Selective Laser Sintering.” VIRTUAL AND PHYSICAL PROTOTYPING, vol. 19, no. 1, Taylor & Francis, 2024, doi:10.1080/17452759.2023.2285414.
APA
Vande Ryse, R., Edeleva, M., Patoor, A., Pille, F., D’hooge, D., & Cardon, L. (2024). Upgrading analytical models to predict the onset of degradation in selective laser sintering. VIRTUAL AND PHYSICAL PROTOTYPING, 19(1). https://doi.org/10.1080/17452759.2023.2285414
Chicago author-date
Vande Ryse, Ruben, Mariya Edeleva, Aico Patoor, Frederik Pille, Dagmar D’hooge, and Ludwig Cardon. 2024. “Upgrading Analytical Models to Predict the Onset of Degradation in Selective Laser Sintering.” VIRTUAL AND PHYSICAL PROTOTYPING 19 (1). https://doi.org/10.1080/17452759.2023.2285414.
Chicago author-date (all authors)
Vande Ryse, Ruben, Mariya Edeleva, Aico Patoor, Frederik Pille, Dagmar D’hooge, and Ludwig Cardon. 2024. “Upgrading Analytical Models to Predict the Onset of Degradation in Selective Laser Sintering.” VIRTUAL AND PHYSICAL PROTOTYPING 19 (1). doi:10.1080/17452759.2023.2285414.
Vancouver
1.
Vande Ryse R, Edeleva M, Patoor A, Pille F, D’hooge D, Cardon L. Upgrading analytical models to predict the onset of degradation in selective laser sintering. VIRTUAL AND PHYSICAL PROTOTYPING. 2024;19(1).
IEEE
[1]
R. Vande Ryse, M. Edeleva, A. Patoor, F. Pille, D. D’hooge, and L. Cardon, “Upgrading analytical models to predict the onset of degradation in selective laser sintering,” VIRTUAL AND PHYSICAL PROTOTYPING, vol. 19, no. 1, 2024.
@article{01HQ0M5ME68XQM3T62FCJSYEFP,
  abstract     = {{The optimisation of selective laser sintering (SLS) of polymeric materials, based on analytical equations providing fast predictions, can broaden the SLS application area. However, the selection of SLS polymeric materials is currently rather limited, due to specific requirements regarding sufficient flowability and limited molecular degradation. The present work highlights that upgrading existing analytical equations, by incorporating a well-calculated overlay factor and correcting for pre-heating starting at ambient conditions, can accelerate SLS screening. Model validation is performed based on density, colorimetric, morphological and mechanical analysis of printed parts, focusing on the prediction of the laser power which corresponds to the onset of degradation, taking polyamide powder as a reference case. Furthermore, the optimised model is successfully applied for two other polymer powders, namely thermoplastic co-polyester and thermoplastic polyurethane powder, to highlight a better overall description of the SLS degradation mechanism.}},
  author       = {{Vande Ryse, Ruben and Edeleva, Mariya and Patoor, Aico and Pille, Frederik and D'hooge, Dagmar and Cardon, Ludwig}},
  issn         = {{1745-2759}},
  journal      = {{VIRTUAL AND PHYSICAL PROTOTYPING}},
  keywords     = {{Industrial and Manufacturing Engineering,Computer Graphics and Computer-Aided Design,Modeling and Simulation,Signal Processing,Laser sintering,analytical modelling,degradation,additive manufacturing,polymer material,POWDER BED FUSION,MECHANICAL-PROPERTIES,ENERGY DENSITY,MICROSTRUCTURE,POLYAMIDE,REGION,OPTIMIZATION,REFLECTANCE,MORPHOLOGY,POLYMERS}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{14}},
  publisher    = {{Taylor & Francis}},
  title        = {{Upgrading analytical models to predict the onset of degradation in selective laser sintering}},
  url          = {{http://doi.org/10.1080/17452759.2023.2285414}},
  volume       = {{19}},
  year         = {{2024}},
}
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