ADAPT Publications

Microstructure and Corrosion Properties of Sensitized Laser Powder Bed Fusion Printed Inconel 718 to Dissolve Support Structures in a Self-Terminating Manner

Christopher S.Lefky, Thomas G. Gallmeyer, Senthamilaruvi Moorthy, Aaron P. Stebner, Owen J.Hildreth. Additive Manufacturing (2019) (in press, accepted).

XPS analysis of binder photopolymerization in additive-manufactured solid rocket motors

Cameron B. Brown, Sridhar Seetharaman, K. Xerxes Steirer. (In press). The JANNAF Journal of Propulsion and Energetics.

Ultra near-field electrohydrodynamic cone-jet breakup of self-reducing silver inks

Christopher S. Lefky, Avinash Mamidanna, Owen J. Hildreth. Journal of Electrostatics (2018) 96(85–89).

Interferometric spatial frequency modulation imaging

Nathan Worts, Jeff Field, Randy Bartels, Jason Jones, Jeff Broderick, Jeff Squier. Optics Letters (2018) 43:21(5351–5354).

Modeling and characterization of mechanical properties in laser powder bed fusion additive manufactured Inconel 718

Senthamilaruvi Moorthy. Master’s Thesis, Colorado School of Mines (2018).

Impact of compositional gradients on selectivity of dissolvable support structures for directed energy deposited metals

Christopher S. Lefky, Brian Zucker, Abdalla R. Nassar, Timothy W. Simpson, Owen J. Hildreth. Acta Materialia (2018) 153(1–7).

Surface structure modification of additively manufactured titanium components via femtosecond laser micromachining

Nathan Worts, Jason Jones, Jeff Squier. Optics Communications (2019) 430:1(352–357).


Machine learning to optimize additive manufacturing parameters for laser powder bed fusion of Inconel 718

Branden Kappes, Senthamilaruvi Moorthy, Dana Drake, Henry Geerlings, Aaron Stebner. In: Ott E. et al. (eds) Proceedings of the 9th International Symposium on Superalloy 718 & Derivatives: Energy, Aerospace, and Industrial Applications. The Minerals, Metals & Materials Series. Springer, Cham.

ADAPT in the News

Mines tests 3D-printed metals for use in nuclear reactors

3D-printed metals in nuclear reactors…

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How machine learning is moving AM beyond trial and error

A Colorado alliance has found the link between AM and AI. Using machine learning to map the formula for successful metal 3D printing, researchers aim to know the right parameters for any new part with few or no test builds.

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DOD provides $1.5M to ADAPT and Mines to develop Mountain West Manufacturers Network

ADAPT,  the Alliance for the Development of Additive Processing Technologies, a research consortium focused on developing technologies to accelerate the certification and qualification of 3D printed metal parts, in cooperation with the University of Utah, has received funding from the U.S. Department of Defense for the first phase of the Mountain West Advanced Manufacturer’s Network (MWAMN). From […]

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