F
Francesco Sillani
Researcher at University of St. Gallen
Publications - 5
Citations - 85
Francesco Sillani is an academic researcher from University of St. Gallen. The author has contributed to research in topics: Chemistry & Fusion. The author has an hindex of 1, co-authored 2 publications receiving 47 citations.
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Journal ArticleDOI
Selective Laser Sintering and Multi Jet Fusion: process-induced modification of the raw materials and analyses of parts performance
TL;DR: In this article, a comparison of powder and final parts made of commercially available polyamide 12 (PA12) made of commercial polyamide has been carried out, with the results showing that the results obtained through SLS exhibit higher Young's modulus but lower elongation at break and ultimate tensile strength if compared to the ones obtained using multi jet fusion.
Journal ArticleDOI
In-Situ Monitoring of Powder Bed Fusion of Polymers Using Laser Profilometry
Journal ArticleDOI
Compaction behavior of powder bed fusion feedstock for metal and polymer additive manufacturing
Francesco Sillani,Dominik Wagner,Marvin Aaron Spurek,Lukas Haferkamp,Adriaan B. Spierings,Manfred Schmid,Konrad Wegener +6 more
TL;DR: In this paper, a new methodology for assessing the flowing behavior of powder-bed-based additive manufacturing (AM) materials when subjected to compression was proposed. But the results may lack generalizability.
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In-situ monitoring of powder bed fusion of polymers using laser profilometry
TL;DR: An industrial-grade laser profilometer has been integrated for the first time in a commercial polymer laser sintering machine and used to monitor powder bed quality and potentially qualify parts during production as mentioned in this paper .
Journal ArticleDOI
In-situ microwave tomography for parts’ cooldown monitoring in powder bed fusion of polymers
Francesco Sillani,Samuel Poretti,Tommaso Pagani,Fatlind Hajdaj,Manfred Schmid,Andrea Randazzo,Matteo Pastorino,Konrad Wegener +7 more
TL;DR: In this article , an innovative temperature monitoring technology based on microwave tomography is used to assess the part cooldown history in an industry-grade EOS P110 machine, which can be used to obtain relative and absolute readings of the temperature field even for parts surrounded by powder.