Quality control of laser- and powder bed-based Additive Manufacturing (AM) technologies
By S. Berumen, F. Bechmann, S. Lindner, Jean-Pierre Kruth, T. Craeghs. 2010
306 citations recorded by the source corpus.
Abstract The quality of metal components manufactured by laser- and powder bed-based additive manufacturing technologies has continuously been improved over the last years. However, to establish this production technology in industries with very high quality standards the accessibility of prevalent quality management methods to all steps of the process chain needs still to be enhanced. This publication describes which tools are and will be available to fulfil those requirements from the perspective of a laser machine manufacturer. Generally five aspects of the part building process are covered by separate Quality Management (QM) modules: the powder quality, the temperature management, the process gas atmosphere, the melt pool behaviour and the documentation module. This paper sets the focus on melt pool analysis and control.
Subfields: Automotive Engineering, Industrial and Manufacturing Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/c63cbc7a5058360d2563f609de830430a47a6e36
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In Automotive Engineering
In Industrial and Manufacturing Engineering
In Mechanical Engineering
Citations in the corpus
- Additive manufacturing for energy: A review (2020, background): “[149] Berumen S, Bechmann F, Lindner S, Kruth J-P, Craeghs T.”
- ERROR DETECTION IN LASER BEAM MELTING SYSTEMS BY HIGH RESOLUTION IMAGING (2012, methodology): “The possible resolving power reached by this setup is about 10 μm per pixel [10].”
- Defect inspection technologies for additive manufacturing (2021, unknown): “Each method has advantages and disadvantages [4].”
- Process defects and in situ monitoring methods in metal powder bed fusion: a review (2017, unknown): “…Kruth et al., 2007 Doubenskaia et al., 2015 Temperature intensity Craeghs et al., 2011; Berumen et al., 2010; Chivel, 2013; Clijsters et al., 2014; Doubenskaia et al., 2012; Pavlov et al., 2010; Thombansen et al., 2015; Berumen et al., 2010; Van Gestel, 2015; Yadroitsev et al., 2014; Chivel, 2013”
- Measurement Science Needs for Real-time Control of Additive Manufacturing Powder Bed Fusion Processes (2015, background): “In co-axial systems, the imager field of view aligns with the laser beam through the beam scanning optics [8], [44]–[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] [”
- In-situ sensing, process monitoring and machine control in Laser Powder Bed Fusion: A review (2021, background): “toring of the melt pool and plasma plume [95,120,132,135,136].”
- Fatigue of additive manufactured Ti-6Al-4V, Part I: The effects of powder feedstock, manufacturing, and post-process conditions on the resulting microstructure and defects (2020, background): “The systems are either set up in a Lagrangian [114–120] frame of reference that tracks the melt pool directly or an Eulerian [121–124] frame of reference that maintains a constant field of view of within the build area.”