Skip to main content
Log in

Additive Manufacturing: Assessing Metal Powder Quality Through Characterizing Feedstock and Contaminants

  • Published:
Journal of Materials Engineering and Performance Aims and scope Submit manuscript

Abstract

The quality of powder feedstock for additive manufacturing (AM) metal powder bed fusion methods can significantly affect the quality of parts built from it. Particle size distribution (PSD) and shape factors influence flowability as well as the thickness and uniformity of each powder layer in the build box. For high-performance applications such as aerospace, medical, power generation and military, it becomes important to identify critical additional factors: the types, numbers and sizes of particulate contaminants that may be present in the powder. This is true for virgin, used and blended powders. Contaminants may be introduced during powder manufacture (e.g., ceramic insulation fragments from gas atomization equipment), handling (building insulation, talc) or possibly during the build process itself. Contaminants contained within a batch of powder can be physically built into an additive part when they are incorporated into the melt pool, and they can remain as discrete particulates or non-fused interfaces that act as stress concentrators. Their presence may decrease fatigue life by increasing the likelihood of fatigue crack initiation. This article describes three methods to rapidly and quantifiably characterize powder feedstock. (1) Computer-controlled scanning electron microscopy (CCSEM) provides quantitative size and shape parameters, as well as fine surface details from individual images on a particle-by-particle basis in large populations of powder. (2) Energy-dispersive spectroscopy (EDS) can be included, providing insights into variations within a batch of powder, as well as contaminant compositions. (3) For critical applications, the heavy liquid separation (HLS) method physically extracts low-density contaminants from a sample of powder metal down to part-per-billion detection limits to allow direct examination of contaminants and enhance identification and prevention of their sources. Altogether, these methods permit direct comparisons among powder metal samples. Better quantification of powder characteristics aids determination of suitability for end uses.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14

Similar content being viewed by others

References

  1. A. Simchi, The Role of Particle Size on the Laser Sintering of Iron Powder, Metall. Mater. Trans. B, 2004, 35(5), p 937–948

    Article  Google Scholar 

  2. D. Manfredi, F. Calignano, M. Krishnan, R. Canali, E.P. Ambrosio, and E. Atzeni, From Powders to Dense Metal Parts: Characterization of a Commercial AlSiMg Alloy Processed through Direct Metal Laser Sintering, Materials, 2013, 6(3), p 856–869

    Article  Google Scholar 

  3. E.O. Olakanmi, R.F. Cochrane, and K.W. Dalgarno, A Review on Selective Laser Sintering/Melting (SLS/SLM) of Aluminum Alloy Powders: Processing, Microstructure and Properties, Prog. Mater Sci., 2015, 74, p 401–477

    Article  Google Scholar 

  4. J.A. Slotwinski, E.J. Garboczi, P.E. Stutzman, C.F. Ferraris, S.S. Watson, and M.A. Peltz, Characterization of Metal Powders Used for Additive Manufacturing, J. Res. Nat. Inst. Stand. Technol., 2014, 119, p 460–493

    Article  Google Scholar 

  5. A.T. Sutton, C.S. Kriewall, M.C Leu, and J.W. Newkirk, Powders for additive manufacturing processes: characterization techniques and effects on part properties, in Solid Freeform Fabrication 2016: Proceedings of the 27 th Annual International Solid Freeform Symposium, 2016, p 1004–1030

  6. P. Kantzos, P. Bonacuse, J. Telesman, T. Gabb, R. Barrie, and A. Banik, 2004, Effect of Powder Cleanliness on the Fatigue Behavior of Powder Metallurgy Ni-disk Alloy Udimet 720, Superalloys, p 409–417

  7. ASTM F3001-14, Standard Specification for Additive Manufacturing Titanium-6 Aluminum-4 Vanadium ELI (Extra Low Interstitial) with Powder Bed Fusion, ASTM International 2017 Annual Book of ASTM Standards, vol. 10.04, p 838–843

  8. G.S. Casuccio, P.B. Janocko, R.J. Lee, J.F. Kelly, S.L. Dattner, and J.S. Mgebroff, The Use of Computer Controlled Scanning Electron Microscopy in Environmental Studies, J. Air Pollut. Control Assoc., 1983, 33(10), p 937–943

    Article  Google Scholar 

  9. A.J. Schwoeble, A.M. Dalley, B.C. Henderson, and G.S. Casuccio, Computer-Controlled SEM and Microimaging of Fine Particles, J. Met., 1988, 40, p 11

    Google Scholar 

  10. A.M. Dalley, S.K. Kennedy, and A. Ziegenfuss, The Use of Computer-Controlled Scanning Electron Microscopy for Powder Metal Characterization and Contamination Identification, SAE-RJ Lee Group White Paper (2018). https://saemobilus.sae.org/content/WP-0008/

  11. P.G. Roth, J.C. Murray, J.E. Morra, and J.M. Hyzak, Heavy liquid separation: a reliable method to characterize inclusions in metal powder, in Characterization, Testing and Quality Control, Advances in Powder Metallurgy and Particulate Materials, vol 2, Comp. by Chaman Lall (Metal Powder Industries Federation, Princeton, 1994), p 1–12

  12. F. Chayes, Petrographic Modal Analysis, Wiley, Hoboken, 1956

    Google Scholar 

  13. E. Bono, Additive Manufacturing of Metals, in Course Description, ASM International Short Course, Materials Science and Technology Conference, Pittsburgh, 2017

Download references

Acknowledgments

The authors gratefully acknowledge and remember the valuable, long-term contributions of co-author Mr. Gregory J. Kotyk of RJ Lee Group, who passed away unexpectedly during this manuscript preparation.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Amber M. Dalley.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kennedy, S.K., Dalley, A.M. & Kotyk, G.J. Additive Manufacturing: Assessing Metal Powder Quality Through Characterizing Feedstock and Contaminants. J. of Materi Eng and Perform 28, 728–740 (2019). https://doi.org/10.1007/s11665-018-3841-5

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11665-018-3841-5

Keywords

Navigation