Abstract
This paper evaluates using in-situ SWIR imaging to monitor part quality and identify potential defect locations introduced during Selective Laser Melting (SLM) of 304L stainless steel. The microstructure (porosity, grain size, and phase field) and engineering properties (density, modulus, and yield strength) depend on the thermal history during SLM manufacturing. Tensile test specimens have been built with a Renishaw AM250 using varied processing conditions to generate different thermal histories. SWIR imaging data is processed layer-to-layer to extract features in the thermal history for each process condition. The features in the thermal history are correlated with resulting part engineering properties, microstructure, and defects. The use of SWIR imaging is then discussed as a potential for processes monitoring to ensure part quality and develop layer-to-layer control in SLM.
Recommended Citation
C. S. Lough et al., "Use of SWIR Imaging to Monitor Layer-To-Layer Part Quality during SLM of 304L Stainless Steel," Proceedings of the 29th Annual International Solid Freeform Fabrication Symposium (2018, Austin, TX), pp. 2228-2241, University of Texas at Austin, Aug 2018.
Meeting Name
29th Annual International Solid Freeform Fabrication Symposium -- An Additive Manufacturing Conference, SFF 2018 (2018: Aug. 13-15, Austin, TX)
Department(s)
Mechanical and Aerospace Engineering
Research Center/Lab(s)
Intelligent Systems Center
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Publication Date
15 Aug 2018
Comments
This work was funded by Honeywell Federal Manufacturing & Technologies under Contract No. DE-NA0002839 with the U.S. Department of Energy.