On the use of spatter signature for in-situ monitoring of Laser Powder Bed Fusion
By G. Repossini, Vittorio Laguzza, Marco Grasso, Bianca Maria Colosimo. 2017
210 citations recorded by the source corpus.
Subfields: Automotive Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/64ed2891969a8eba6a9703c987004537715bc549
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
- Telmo G. Santos
- J. P. Oliveira
- R. Miranda
- Huijun Li
- Zengxi Pan
- Dominic Cuiuri
- Donghong Ding
- D. Jafari
In Mechanical Engineering
- J. P. Oliveira
- Telmo G. Santos
- R. Miranda
- Zengxi Pan
- Huijun Li
- Donghong Ding
- Dominic Cuiuri
- Volker Wesling
Citations in the corpus
- In-situ sensing, process monitoring and machine control in Laser Powder Bed Fusion: A review (2021, unknown): “using high-speed off-axis in-situ imaging [52].”
- Revisiting fundamental welding concepts to improve additive manufacturing: From theory to practice (2020, methodology): “Finally, a volumetric fluence, F [J mm], was also defined in [82] for laser additive manufacturing based on pulsed wave heat sources, by introducing the laser beam/material interaction time, tint [s], instead of the travel speed.”
- A review on wire arc additive manufacturing: Monitoring, control and a framework of automated system (2020, methodology): “1007/s00170-014-6214-8 [63] Repossini, G.”
- In-situ measurement and monitoring methods for metal powder bed fusion: an updated review (2021, unknown): “Repossini et al (2017) showed that the classification of different density conditions corresponding to undermelting or overmelting process states could be enhanced by combining synthetic descriptors of the laser heated zone with spatter descriptors (number, size and spatial dispersion).”