Real-time prediction of deposited bead width in L-DED using semi-supervised transfer learning von Mochi, Victor H., Núñez, Henrique H. L., Ribeiro, Kandice S. B., Venter, Giuliana S.

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A hybrid machine learning model for in-process estimation of printing distance in laser Directed Energy Deposition von Ribeiro, Kandice S. B., Núñez, Henrique H. L., Venter, Giuliana S., Doude, Haley R., Coelho, Reginaldo T.

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A Study of Different Deposition Strategies in Direct Energy Deposition (DED) Processes von Ribeiro, Kandice S.B., Mariani, Fábio E., Coelho, Reginaldo T.

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An analytical model for estimating process parameters input in L-DED based on bead geometry von Ribeiro, Kandice S.B., Reghini, Ana C., Coelho, Reginaldo T.

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An Initial Investigation of Tungsten Inert Gas (TIG) Torch as Heat Source for Additive Manufacturing (AM) Process von Moreira, Alcindo F., Ribeiro, Kandice S.B., Mariani, Fábio E., Coelho, Reginaldo T.

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A novel melt pool mapping technique towards the online monitoring of Directed Energy Deposition operations von Ribeiro, Kandice S.B., Núñez, Henrique H.L., Jones, Jason B., Coates, Peter, Coelho, Reginaldo T.

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Evaluation of laser polishing as post-processing of Inconel 625 produced by Directed Energy Deposition von Ribeiro, Kandice S.B., Mariani, Fábio E., Idogava, Henrique T., da Silva, Gustavo C., Silveira, Zilda C., de Lima, Milton S.F., Coelho, Reginaldo T.

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