In situ surface topography of laser powder bed fusion using fringe projection
By Bin Zhang, John C. Ziegert, F. Farahi, A. Davies. 2016
153 citations recorded by the source corpus.
Subfields: Computational Mechanics, Computer Vision and Pattern Recognition, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/d1dd06e04791adeb551430eb9a51f5551219f242
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- É. McCarthy
- R. McCann
- M. Obeidi
- Cian Hughes
- R. K. Vijayaraghavan
- Ajey Joshi
- D. Egan
- D. Dowling
Citations in the corpus
- Process defects and in situ monitoring methods in metal powder bed fusion: a review (2017, unknown): “A spatial mapping of local slice heights was discussed by different authors (Zhang et al., 2016; Neef et al., 2014; Land et al., 2015).”
- On-machine and in-process surface metrology for precision manufacturing (2019, unknown): “14 shows a typical setup of in-process fringe projection in laser powder bed fusion manufacturing (LPBF) [255].”
- In-situ measurement and monitoring methods for metal powder bed fusion: an updated review (2021, unknown): “With this approach, Zhang et al (2016a) upgraded a method previously presented by the same authors (Zhang et al 2016b, Land et al 2015).”
- In-situ sensing, process monitoring and machine control in Laser Powder Bed Fusion: A review (2021, background): “demonstrated the use of digital fringe projection for in-situ optical monitoring in a PBF process [48].”
- On the use of spatter signature for in-situ monitoring of Laser Powder Bed Fusion (2017, unknown): “Process signature Literature in LPBF Melt pool (size, shape, temperature) [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] Track along the scan path (geometry, temperature) [20] [17] [21] [22] [23] [24] [25] [26] Slice (surface pattern, geometry, thickness, temperature) [27] [28] [29] [”