Upgrading analytical models to predict the onset of degradation in selective laser sintering
ABSTRACTThe 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 su...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2024-12-01
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| Series: | Virtual and Physical Prototyping |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/17452759.2023.2285414 |
| _version_ | 1797402909770514432 |
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| author | Ruben Vande Ryse Mariya Edeleva Aico Patoor Frederik Pille Dagmar R. D’hooge Ludwig Cardon |
| author_facet | Ruben Vande Ryse Mariya Edeleva Aico Patoor Frederik Pille Dagmar R. D’hooge Ludwig Cardon |
| author_sort | Ruben Vande Ryse |
| collection | DOAJ |
| description | ABSTRACTThe 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. |
| first_indexed | 2024-03-09T02:30:57Z |
| format | Article |
| id | doaj.art-cf74bd2b421f43e38c995e2f16dd3587 |
| institution | Directory Open Access Journal |
| issn | 1745-2759 1745-2767 |
| language | English |
| last_indexed | 2024-03-09T02:30:57Z |
| publishDate | 2024-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Virtual and Physical Prototyping |
| spelling | doaj.art-cf74bd2b421f43e38c995e2f16dd35872023-12-06T13:06:22ZengTaylor & Francis GroupVirtual and Physical Prototyping1745-27591745-27672024-12-0119110.1080/17452759.2023.2285414Upgrading analytical models to predict the onset of degradation in selective laser sinteringRuben Vande Ryse0Mariya Edeleva1Aico Patoor2Frederik Pille3Dagmar R. D’hooge4Ludwig Cardon5Centre for Polymer and Material Technologies (CPMT), Department of Materials, Textiles and Chemical Engineering, Ghent University, Zwijnaarde, BelgiumCentre for Polymer and Material Technologies (CPMT), Department of Materials, Textiles and Chemical Engineering, Ghent University, Zwijnaarde, BelgiumCentre for Polymer and Material Technologies (CPMT), Department of Materials, Textiles and Chemical Engineering, Ghent University, Zwijnaarde, BelgiumDepartment of Large Animal Surgery, Anaesthesia and Orthopaedics, Faculty of Veterinary Medicine, Ghent University, Merelbeke, BelgiumLaboratory for Chemical Technology (LCT), Department of Materials, Textiles and Chemical Engineering, Ghent University, Zwijnaarde, BelgiumCentre for Polymer and Material Technologies (CPMT), Department of Materials, Textiles and Chemical Engineering, Ghent University, Zwijnaarde, BelgiumABSTRACTThe 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.https://www.tandfonline.com/doi/10.1080/17452759.2023.2285414Laser sinteringanalytical modellingdegradationadditive manufacturingpolymer material |
| spellingShingle | Ruben Vande Ryse Mariya Edeleva Aico Patoor Frederik Pille Dagmar R. D’hooge Ludwig Cardon Upgrading analytical models to predict the onset of degradation in selective laser sintering Virtual and Physical Prototyping Laser sintering analytical modelling degradation additive manufacturing polymer material |
| title | Upgrading analytical models to predict the onset of degradation in selective laser sintering |
| title_full | Upgrading analytical models to predict the onset of degradation in selective laser sintering |
| title_fullStr | Upgrading analytical models to predict the onset of degradation in selective laser sintering |
| title_full_unstemmed | Upgrading analytical models to predict the onset of degradation in selective laser sintering |
| title_short | Upgrading analytical models to predict the onset of degradation in selective laser sintering |
| title_sort | upgrading analytical models to predict the onset of degradation in selective laser sintering |
| topic | Laser sintering analytical modelling degradation additive manufacturing polymer material |
| url | https://www.tandfonline.com/doi/10.1080/17452759.2023.2285414 |
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