Closed-loop control of meltpool temperature in directed energy deposition
Journal Article
·
· Materials & Design
- University of Nebraska, Lincoln, NE (United States); Mechanical and Materials Engineering, University of Nebraska-Lincoln, Lincoln, NE, United States
- University of Nebraska, Lincoln, NE (United States)
- Stratonics, Inc., Lake Forest, CA (United States)
- ARA Engineering, Sedona, AZ (United States)
- R3 Digital Sciences, Blacksburg, VA (United States)
- Macy Consulting, St. Louis, MO (United States)
The objective of this work is to mitigate flaw formation in powder and laser-based directed energy deposition (DED) additive manufacturing process through close-loop control of the meltpool temperature. In this work, the meltpool temperature was controlled by modulating the laser power based on feedback signals from a coaxial two-wavelength imaging pyrometer. The utility of closed-loop control in DED is demonstrated in the context of practically inspired trapezoid-shaped stainlesssteel parts (SS 316L). We demonstrate that parts built under closed-loop control have reduced variation in porosity and uniform microstructure compared to parts built under open-loop conditions. For example, post-process characterization showed that closed-loop processed parts had a volume percent porosity ranging from 0.036% to 0.043%. In comparison, open-loop processed parts had a larger variation in volume percent porosity ranging from 0.032% to 0.068%. Further, parts built with closed-loop processing depicted consistent dendritic microstructure. By contrast, parts built with open-loop processing showed microstructure heterogeneity with the presence of both dendritic and planar grains, which in turn translated to large variation in microhardness
- Research Organization:
- University of Nebraska, Lincoln, NE (United States)
- Sponsoring Organization:
- National Science Foundation (NSF); USDOE Office of Science (SC)
- Grant/Contract Number:
- SC0021136
- OSTI ID:
- 1977416
- Journal Information:
- Materials & Design, Journal Name: Materials & Design Journal Issue: C Vol. 215; ISSN 0264-1275
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Similar Records
Monitoring and prediction of porosity in laser powder bed fusion using physics-informed meltpool signatures and machine learning
Hybrid additive manufacturing of AISI 316L via asynchronous powder and hot-wire laser directed energy deposition
Data-driven prediction of geometry- and toolpath sequence-dependent intra-layer process conditions variations in laser powder bed fusion
Journal Article
·
Tue Mar 08 19:00:00 EST 2022
· Journal of Materials Processing Technology
·
OSTI ID:1977320
Hybrid additive manufacturing of AISI 316L via asynchronous powder and hot-wire laser directed energy deposition
Journal Article
·
Fri Aug 09 20:00:00 EDT 2024
· Journal of Manufacturing Processes
·
OSTI ID:2434383
Data-driven prediction of geometry- and toolpath sequence-dependent intra-layer process conditions variations in laser powder bed fusion
Journal Article
·
Wed May 10 20:00:00 EDT 2023
· Journal of Manufacturing Processes
·
OSTI ID:2423361