Kandice Barros Ribeiro

Evaluation of Acoustic Emission as a Predictor of Laser Power in Laser Welding (2025)

IOP Conference Series: Materials Science and Engineering

Libutti-Núñez, H H; Hsu, L-W; Parchegani, S; Barros Ribeiro K S; Moreira Bessa, W; Salminen, A

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Assessment of laser weld bead quality via acoustic emission and optical coherence tomography (2025)

IOP Conference Series: Materials Science and Engineering

Hsu, L-W; Parchegani, S; Libutti-Núñez, H H; Barros Ribeiro, K S; Moreira Bessa, W; Salminen, A

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Acoustic emission of laser welding on structural steels for quality assurance (2024)

International Congress on Applications of Lasers and Electro-Optics

Hsu, Li-Wei; Barros Ribeiro, Kandice Suane; Parchegani Chozaki, Saeid; Libutti Núñez, Henrique Hiram; Moreira Bessa, Wallace; Salminen, Antti

(O2 Muu julkaisu )

An analytical model for estimating process parameters input in L-DED based on bead geometry (2024)

Manufacturing letters

Barros Ribeiro, Kandice S.; Reghini, Ana C.; Coelho, Reginaldo T.

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Evaluation of different surface topography measurement methodologies for characterizing weld beads in shipbuilding (2024)

CIRP Conference on Photonic Technologies, Procedia CIRP

Hsu, Li-Wei; Parchegani, Chozaki Saeid; Barros Ribeiro, Kandice, Moreira Bessa, Wallace; Salminen, Antti

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Hybrid FE-ML model for turning of 42CrMo4 steel (2024)

CIRP Journal of Manufacturing Science and Technology

Laakso, Sampsa Vili Antero; Mityakov, Andrey; Niinimäki, Tom; Ribeiro, Kandice Suane Barros; Bessa, Wallace Moreira

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

In-situ monitoring and online prediction of keyhole depth in laser welding by coaxial imaging (2024)

CIRP Conference on Photonic Technologies, Procedia CIRP

Núñez, Henrique H.L.; Hsu, Li-Wei; Barros Ribeiro, Kandice; Salminen, Antti; Moreira Bessa, Wallace

(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)

Abrasive and non-conventional post-processing techniques to improve surface finish of additively manufactured metals: a review (2023)

Progress in Additive Manufacturing

De Oliveira Deborah, Gomes Milla Caroline, Dos Santos Aline Goncalves, Barros Ribeiro Kandice Suane, Vasques Iago Jose, Coelho Reginaldo Teixeira, Da Silva Marcio Bacci, Hung Nguyen Wayne

(Vertaisarvioitu katsausartikkeli tieteellisessä aikakauslehdessä (A2))

A hybrid machine learning model for in-process estimation of printing distance in laser Directed Energy Deposition (2023)

International Journal of Advanced Manufacturing Technology

Ribeiro Kandice S.B., Núñez Henrique.H.L., Venter Giuliana S., Doude Haley R., Coelho Reginaldo T.

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Real-time prediction of deposited bead width in L-DED using semi-supervised transfer learning (2023)

International Journal of Advanced Manufacturing Technology

Mochi Victor H., Núñez Henrique H.L., Ribeiro Kandice S.B., Venter Giuliana S.

(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Kandice

Barros Ribeiro

Ota yhteyttä

Linkit

Julkaisut

Järjestä:

Evaluation of Acoustic Emission as a Predictor of Laser Power in Laser Welding (2025)

Assessment of laser weld bead quality via acoustic emission and optical coherence tomography (2025)

Acoustic emission of laser welding on structural steels for quality assurance (2024)

An analytical model for estimating process parameters input in L-DED based on bead geometry (2024)

Evaluation of different surface topography measurement methodologies for characterizing weld beads in shipbuilding (2024)

Hybrid FE-ML model for turning of 42CrMo4 steel (2024)

In-situ monitoring and online prediction of keyhole depth in laser welding by coaxial imaging (2024)

Abrasive and non-conventional post-processing techniques to improve surface finish of additively manufactured metals: a review (2023)

A hybrid machine learning model for in-process estimation of printing distance in laser Directed Energy Deposition (2023)

Real-time prediction of deposited bead width in L-DED using semi-supervised transfer learning (2023)