ERROR DETECTION IN LASER BEAM MELTING SYSTEMS BY HIGH RESOLUTION IMAGING
By S. Kleszczynski, J. Z. Jacobsmühlen, J. Sehrt, G. Witt. 2012
158 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/c8ab025bd5f125016dd83bdd2e765d774df31d9a
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Thomas Spears
- S. Gold
- Hoejin Kim
- Yirong Lin
- Tzu‐Liang Bill Tseng
- L. Brandon
- Shaw C. Feng
- Mahesh Mani
Citations in the corpus
- In-process sensing in selective laser melting (SLM) additive manufacturing (2016, background): “Visual camera images taken after the completion of laser scanning on a given layer may be used to evaluate errors related to the part geometry, superelevation of the part above the powder bed due to thermal stresses, and support connection errors in a that layer [65, 66].”
- A review on quality control in additive manufacturing (2018, methodology): “Kleszczynski et al. (2012) used a high resolution CCD camera for surface error detection through image processing, as shown in Figure 12 (Kleszczynski et al., 2012).”
- Measurement Science Needs for Real-time Control of Additive Manufacturing Powder Bed Fusion Processes (2015, methodology): “used a high resolution CCD camera with a tilt and shift lens to correct the image mounted on the observation window of a commercial PBF machine [74].”
- 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] [”
- In-situ measurement and monitoring methods for metal powder bed fusion: an updated review (2021, unknown): “Seminal works demonstrated the feasibility of layerwise imaging techniques for the detection of powder bed irregularities (Kleszczynski et al 2012, 2014, Foster et al 2015, Zur Jacobsmühlen et al 2015) and powder bed monitoring algorithms have already been implemented by L-PBF system developers (a…”
- Process defects and in situ monitoring methods in metal powder bed fusion: a review (2017, unknown): “Another kind of geometrical distortion observed and investigated by different authors is related to the formation of super-elevated edges (Yasa et al., 2009; Kleszczynski et al., 2012), i.”