About this Abstract |
Meeting |
2022 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2022)
|
Symposium
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2022 Annual International Solid Freeform Fabrication Symposium (SFF Symp 2022)
|
Presentation Title |
Sampling Internal Temperature Distributions Within Parts Being Manufactured by the Metal Laser Powder Bed Fusion Process |
Author(s) |
Nathaniel Wood, David J. Hoelzle |
On-Site Speaker (Planned) |
Nathaniel Wood |
Abstract Scope |
Metal Powder Bed Fusion (PBF) is a type of additive manufacturing (AM) process that builds parts out of a bed of metal power. PBF parts frequently exhibit defects, many of which can be traced to an improperly-evolving temperature field during the build. Validating algorithms which estimate these temperature fields is critical for their quality control, as direct measurement of internal temperatures is impossible in production. This work describes an experiment that measures the temperatures within parts being subjected to the PBF build process at select locations therein. Data is generated for three levels of processing complexity: first, sufficiently low laser powers to not induce melting; Second, melting the top surface of the parts but not building material; Third, building five layers of material. Relevant PBF process input signals, and infrared camera measurements, are also recorded. We anticipate this dataset will be useful for researchers validating a variety of estimation algorithms. |
Proceedings Inclusion? |
Definite: Post-meeting proceedings |