An in-situ millimeter-wave diagnostic for droplet characterization during jetting-based additive manufacturing processes

Tammy Chang; Owen Mays; Saptarshi Mukherjee; Nicholas Watkins; Andrew Pascall; Jason Jeffries; Joseph Tringe

doi:10.1117/12.2547937

22 April 2020 An in-situ millimeter-wave diagnostic for droplet characterization during jetting-based additive manufacturing processes

Tammy Chang, Owen Mays, Saptarshi Mukherjee, Nicholas Watkins, Andrew Pascall, Jason Jeffries, Joseph Tringe

Author Affiliations +

Proceedings Volume 11380, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XIV; 1138008 (2020) https://doi.org/10.1117/12.2547937
Event: SPIE Smart Structures + Nondestructive Evaluation, 2020, Online Only

Abstract

Additive manufacturing systems are becoming progressively more capable of printing geometrically complex structures from a wide range of materials. To ensure the print quality of these materials over the duration of the build process, there is a need for in-situ diagnostics which can provide real-time information during fabrication, as well as information that can be processed after print completion. Here we present an in-situ radio frequency diagnostic for liquid metal jetting, which employs a millimeter-wave waveguide device to monitor the impedance changes caused by moving droplets. Experimental results indicate promise for the characterization of size, timing, and motion of metal droplets in an advanced manufacturing system.

Conference Presentation

Citation Download Citation

Tammy Chang, Owen Mays, Saptarshi Mukherjee, Nicholas Watkins, Andrew Pascall, Jason Jeffries, and Joseph Tringe "An in-situ millimeter-wave diagnostic for droplet characterization during jetting-based additive manufacturing processes", Proc. SPIE 11380, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XIV, 1138008 (22 April 2020); https://doi.org/10.1117/12.2547937

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