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In-process monitoring and prediction of droplet quality in droplet-on-demand liquid metal jetting additive manufacturing using machine learning |
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| Authors: | Gaikwad Aniruddha Chang Tammy Giera Brian Watkins Nicholas Mukherjee Saptarshi Pascall Andrew Stobbe David Rao Prahalada |
| Affiliation: | 1.Mechanical and Materials Engineering, University of Nebraska-Lincoln, Lincoln, USA ;2.Lawrence Livermore National Laboratory, Livermore, USA ;3.Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, USA ; |
| Abstract: | Journal of Intelligent Manufacturing - In droplet-on-demand liquid metal jetting (DoD-LMJ) additive manufacturing, complex physical interactions govern the droplet characteristics, such as size,... |
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