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  • Search: subject:"Selective laser melting"
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Year of publication
Subject
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Selective laser melting 4 Additive manufacturing 2 Convolutional neural networks (CNN) 2 Flaw detection 2 Geometrical deviation compensation 2 LPBF 2 Laser Powder Bed Fusion (PBF-LB/M, L-PBF) 2 Machine learning 2 Online monitoring 2 Predeformation 2 Preforming 2 SWIR thermography 2 Selective Laser Melting (SLM) 2 Series production 2 Additive manufacturing process chain 1 Direct rapid tooling 1 Electron beam melting 1 Energy consumption 1 Laser surface remelting 1 Metal additive manufacturing 1 Powder bed fusion 1 Process control 1 Production systems 1 Surface roughness 1 Sustainability 1 Toolmaking 1
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Online availability
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Free 6 CC license 1
Type of publication
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Article 6
Type of publication (narrower categories)
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Article 5 Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 6
Author
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Altenburg, Simon J. 2 Breese, Philipp P. 2 Habiba, Abdelrahman 2 Hartmann, Christoph 2 Lechner, Philipp 2 Mohr, Gunther 2 Oster, Simon 2 Ulbricht, Alexander 2 Wolf, Daniel 2 Huxol, Andrea 1 Kota, Akshar 1 Martinsen, Kristian 1 Nallagundla, Venkata Reddy 1 Simhambhatla, Suryakumar 1 Simoni, Filippo 1 Susana A Assuad, Carla 1 Villmer, Franz-Josef 1
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Published in...
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Journal of Intelligent Manufacturing 5 Cleaner and responsible consumption 1
Source
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EconStor 5 ECONIS (ZBW) 1
Showing 1 - 6 of 6
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Parametric investigation, formulation, and benchmarking of energy consumption for the powder bed fusion process
Kota, Akshar; Nallagundla, Venkata Reddy; Susana A … - In: Cleaner and responsible consumption 14 (2024), pp. 1-18
characteristics of the powder bed fusion (PBF) process, particularly selective laser melting (SLM). Through experimental investigation …
Persistent link: https://www.econbiz.de/10015386572
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A deep learning framework for defect prediction based on thermographic in-situ monitoring in laser powder bed fusion
Oster, Simon; Breese, Philipp P.; Ulbricht, Alexander; … - In: Journal of Intelligent Manufacturing 35 (2023) 4, pp. 1687-1706
The prediction of porosity is a crucial task for metal based additive manufacturing techniques such as laser powder bed fusion. Short wave infrared thermography as an in-situ monitoring tool enables the measurement of the surface radiosity during the laser exposure. Based on the thermogram data,...
Persistent link: https://www.econbiz.de/10015179593
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Deviation compensation in LPBF series production via statistical predeformation and structural pattern analysis
Lechner, Philipp; Hartmann, Christoph; Wolf, Daniel; … - In: Journal of Intelligent Manufacturing 35 (2023) 6, pp. 2645-2652
This article proposes two approaches for a tailored geometrical deviation compensation for Laser-Powder-Bed-Fusion production. The deviation compensation is performed by a non-rigid deformation of the manufacturing geometry in each iteration to reduce the geometrical deviations from the target...
Persistent link: https://www.econbiz.de/10015328824
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Cover Image
Deviation compensation in LPBF series production via statistical predeformation and structural pattern analysis
Lechner, Philipp; Hartmann, Christoph; Wolf, Daniel; … - In: Journal of Intelligent Manufacturing 35 (2023) 6, pp. 2645-2652
This article proposes two approaches for a tailored geometrical deviation compensation for Laser-Powder-Bed-Fusion production. The deviation compensation is performed by a non-rigid deformation of the manufacturing geometry in each iteration to reduce the geometrical deviations from the target...
Persistent link: https://www.econbiz.de/10015402137
Saved in:
Cover Image
A deep learning framework for defect prediction based on thermographic in-situ monitoring in laser powder bed fusion
Oster, Simon; Breese, Philipp P.; Ulbricht, Alexander; … - In: Journal of Intelligent Manufacturing 35 (2023) 4, pp. 1687-1706
The prediction of porosity is a crucial task for metal based additive manufacturing techniques such as laser powder bed fusion. Short wave infrared thermography as an in-situ monitoring tool enables the measurement of the surface radiosity during the laser exposure. Based on the thermogram data,...
Persistent link: https://www.econbiz.de/10015403246
Saved in:
Cover Image
Improving surface quality in selective laser melting based tool making
Simoni, Filippo; Huxol, Andrea; Villmer, Franz-Josef - In: Journal of Intelligent Manufacturing 32 (2021) 7, pp. 1927-1938
roughness and its optimization directly in the Selective Laser Melting process. This article presents the possibility for a …
Persistent link: https://www.econbiz.de/10014501962
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