Temperature profile and imaging analysis of laser additive manufacturing of stainless steel
By M. Islam, Tuomas Purtonen, H. Piili, A. Salminen, O. Nyrhilä. 2013
148 citations recorded by the source corpus.
Abstract Powder bed fusion is a laser additive manufacturing (LAM) technology which is used to manufacture parts layer-wise from powdered metallic materials. The technology has advanced vastly in the recent years and current systems can be used to manufacture functional parts for e.g. aerospace industry. The performance and accuracy of the systems have improved also, but certain difficulties in the powder fusion process are reducing the final quality of the parts. One of these is commonly known as the balling phenomenon. The aim of this study was to define some of the process characteristics in powder bed fusion by performing comparative studies with two different test setups. This was done by comparing measured temperature profiles and on-line photography of the process. The material used during the research was EOS PH1 stainless steel. Both of the test systems were equipped with 200 W single mode fiber lasers. The main result of the research was that some of the process instabilities are resulting from the energy input during the process.
Subfields: Automotive Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/33d3dfa65de0d32bbd7dc3c41270061395977c08
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In Automotive Engineering
In Mechanical Engineering
Citations in the corpus
- On the use of spatter signature for in-situ monitoring of Laser Powder Bed Fusion (2017, unknown): “Powder bed (homogeneity) [31] [32] [34] [35]”
- Review of in-situ process monitoring and in-situ metrology for metal additive manufacturing (2016, background): “have also explored pyrometry in combinationwith a visual inspection system, although in order to investigate the causes of balling, rather than tomonitor the process in real time [58].”
- Process defects and in situ monitoring methods in metal powder bed fusion: a review (2017, unknown): “The temperature stability from one layer to another and the 2D temperature profile in each layer are additional features to be used to characterize the temporal and spatial evolution of the process (Islam et al., 2013).”