Feedback control of Layerwise Laser Melting using optical sensors
By T. Craeghs, F. Bechmann, S. Berumen, Jean-Pierre Kruth. 2010
294 citations recorded by the source corpus.
Abstract Layerwise Laser Melting (LLM) is a layerwise production technique enabling the production of complex metallic parts. Thin powder layers are molten according to a predefined scan pattern by means of a laser source. Nowadays constant process parameters are used throughout the build, leading for some geometries to an overly thick feature size or overheating at downfacing surfaces. In this paper a monitoring and control system is presented which enables monitoring the melt pool continously at high speed throughout the building process. The signals from the sensors can be incorporated in a real-time control loop, in this way enabling feedback control of the process parameters. In this paper the experimental set-up will be first shown. Next the dynamic relation between the melt pool and the process parameters is identified. Finally the proof of concept for feedback control is demonstrated with experimental results.
Subfields: Automotive Engineering, Computational Mechanics, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/cfdb5947932582068468ad96458a97a5b5196599
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Citations in the corpus
- Turbomachinery component manufacture by application of electrochemical, electro-physical and photonic processes (2014, unknown): “Furthermore, the variation of wall thicknesses makes it possible to shift certain blade eigenmodes in order to reduce the total vibrational load.”
- In-process sensing in selective laser melting (SLM) additive manufacturing (2016, methodology): “In a similar manner, cameras may also be integrated coaxially to enable monitoring of the shape and size of the melt pool [1, 52, 54].”
- Measurement Science Needs for Real-time Control of Additive Manufacturing Powder Bed Fusion Processes (2015, background): “The group at the Katholic University of Leuven developed a control system for a laser-based PBF system based on real-time monitoring of the melt-pool [6].”
- 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] [”
- Process defects and in situ monitoring methods in metal powder bed fusion: a review (2017, unknown): “Craeghs et al .”
- Hybrid additive and subtractive machine tools – Research and industrial developments (2016, methodology): “Due to the non-contact nature of the process, cylindrical pins with diameters between 50 µ m and 350 µ m we produced using this process.”
- Defect inspection technologies for additive manufacturing (2021, background): “The goal of the manufacturing industry is to produce functional parts that meet industrial requirements [9].”
- 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].”
- Additive manufacturing for energy: A review (2020, background): “[147] Craeghs T, Bechmann F, Berumen S, Kruth J-P.”