Neck growth kinetics during polymer sintering for powder-based processes
| Autor: | Henk Snijder, Hongyang Cheng, Stefan Luding, Thomas Weinhart, Thomas H.J. Vaneker, Juan E. Alvarez |
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| Přispěvatelé: | Multi Scale Mechanics, MESA+ Institute, Soil MicroMechanics, Granular Materials |
| Rok vydání: | 2021 |
| Předmět: |
Coalescence (physics)
Materials science Physics QC1-999 Sintering 02 engineering and technology 010402 general chemistry 021001 nanoscience & nanotechnology 01 natural sciences Viscoelasticity 0104 chemical sciences Surface tension Peek Texture (crystalline) Adhesive Composite material Deformation (engineering) 0210 nano-technology |
| Zdroj: | EPJ Web of Conferences, Vol 249, p 05001 (2021) Powders & Grains 2021 – 9th International Conference on Micromechanics on Granular Media |
| ISSN: | 2100-014X |
| Popis: | To prevent texture defects in powder-based processes, the sintering time needs to be adjusted such that a certain amount of coalescence is achieved. However, predicting the required sintering time is extremely challenging to assess in materials such as polymers because the kinetics exhibit both elastic and viscous characteristics when undergoing deformation. The present work introduces a computational approach to model the viscoelastic effect in the sintering of particles. The model contains three stages, three different mechanisms driven by adhesive inter-surface forces and surface tension, which describes the non-linear sintering behaviour. Experimental data from the binary coalescence of Polystyrene (PS), Polyamide (PA) 12 and PEEK 450PF particles are employed to calibrate the contact model, as implemented in MercuryDPM, an open-source software package. Using machine learning-based Bayesian calibration, good agreement is obtained between the experimental data and the numerical results. The findings will be used in future studies to predict densification rates in powder-based processes. |
| Databáze: | OpenAIRE |
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