University Lecturer Kandice Barros Ribeiro - UTU Research Portal

Kandice Barros Ribeiro
University Lecturer

- University Lecturer,
Mechanical Engineering (Department of Mechanical and Materials Engineering)

ksbari@utu.fi

+358 29 450 3406

+358 50 308 1780

: B6016

Advanced manufacturing processes, metal additive manufacturing, process monitoring, artificial intelligence.

Dr. Barros is an expert in process monitoring and metal additive manufacturing, and has been involved in research activities for the past 6+ years. Along the way, worldwide collaboration with industry and renowned research groups has been developed. During her D.Sc., a novel monitoring methodology and 3D interactive software to aid the investigation of part quality in metal Additive Manufacturing via L-DED was proposed and implemented. Current interests are in monitoring manufacturing processes, to enhance part quality and optimize production with the aid of process monitoring, sensor data fusion and advanced techniques of artificial intelligence.

Research interests are within the areas of:

Advanced manufacturing processes
Metal additive manufacturing
Process monitoring
Signal processing
Artificial intelligence

Current teaching responsibilities regards the courses:

KTEK0053 Mechatronics
KTEK0054 Robotics
KTEK0065 Hands-on Smart Systems

Acoustic emission of laser welding on structural steels for quality assurance (2024) Hsu, Li-Wei; Barros Ribeiro, Kandice Suane; Parchegani Chozaki, Saeid; Libutti Núñez, Henrique Hiram; Moreira Bessa, Wallace; Salminen, Antti
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.
Evaluation of different surface topography measurement methodologies for characterizing weld beads in shipbuilding (2024)
- Procedia CIRP
13th CIRP Conference on Photonic Technologies [LANE 2024] Hsu, Li-Wei; Parchegani, Chozaki Saeid; Barros Ribeiro, Kandice, Moreira Bessa, Wallace; Salminen, Antti
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
In-situ monitoring and online prediction of keyhole depth in laser welding by coaxial imaging (2024)
- Procedia CIRP
13th CIRP Conference on Photonic Technologies [LANE 2024] Núñez, Henrique H.L.; Hsu, Li-Wei; Barros Ribeiro, Kandice; Salminen, Antti; Moreira Bessa, Wallace
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
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.
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.
In-process chatter detection in micro-milling using acoustic emission via machine learning classifiers (2022)
- International Journal of Advanced Manufacturing Technology
Sestito Guilherme Serpa, Venter Giuliana Sardi, Barros Ribeiro Kandice Suane, Rodrigues Alessandro Roger, da Silva Maira Martins
Micro-machining of additively manufactured metals: a review (2022)
- International Journal of Advanced Manufacturing Technology
Gomes Milla Caroline, dos Santos Aline Goncalves, de Oliveira Deborah, Figueiredo Gabriel Viana, Barros Ribeiro Kandice Suane, Barragan De los Rios German Alberto, da Silva Marcio Bacci, Coelho Reginaldo Teixeira, Hung Wayne N. P.