Abstract
This paper demonstrates how an analytical and experimental method can be used to rapidly define the additive manufacturing settings for a new alloy where the process parameters were previously unknown. A nickel-based superalloy, Haynes 282, was chosen for the analysis. An experimental matrix of focused processing parameters was predicted with a dimensionless number and 100 samples were printed using the Laser Powder Bed Fusion technique. High-throughput measurements validated the predicted process conditions needed to achieve desired density and hardness. The whole process was completed in 16 hours. The new technique was confirmed with analytical processing maps adopted by the metal additive manufacturing community. With the predicted set of process parameters, a low-throughput analyses of conventional microstructural characterizations and tensile testing were used to test the predictions. The resultant as-fabricated microstructures have refined length scales of both microsegregation and secondary phase distributions. The mechanical properties were comparable within the predicted processing window and exhibited high strength and high ductility.
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Acknowledgments
Support from DOE/EERE Advanced Manufacturing Office under award DE-EE0009138 is gratefully acknowledged. Support from the University of Wisconsin-Madison UW2020 program for the EOS M290 is also acknowledged. The electron microscopy was carried out using facilities and instrumentation that are partially supported by the NSF through the Materials Research Science and Engineering Center (DMR-1720415).
Author Contributions
ZI: Methodology, Data curation, Writing—original draft. AKA: Methodology, Writing—review and editing. BR: Methodology, Writing—review and editing. CM: mechanical testing. MHA: Supervision, Mechanical testing. FEP: Supervision, Methodology, Writing—review and editing. DJT: Conceptualization, Methodology, Supervision, Resources, Funding acquisition, Project administration, Writing—original draft, review and editing.
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The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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Manuscript submitted June 27, 2021; accepted October 25, 2021.
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Islam, Z., Agrawal, A.K., Rankouhi, B. et al. A High-Throughput Method to Define Additive Manufacturing Process Parameters: Application to Haynes 282. Metall Mater Trans A 53, 250–263 (2022). https://doi.org/10.1007/s11661-021-06517-w
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DOI: https://doi.org/10.1007/s11661-021-06517-w