Kandice Barros Ribeiro
University Lecturer
ksbari@utu.fi +358 29 450 3406 +358 50 308 1780 Office: B6016 ORCID identifier: https://orcid.org/0000-0001-7005-8783 |
Areas of expertise
Advanced manufacturing processes, metal additive manufacturing, process monitoring, artificial intelligence.
Advanced manufacturing processes, metal additive manufacturing, process monitoring, artificial intelligence.
Biography
Dr. Ribeiro specializes in process monitoring and data analysis, with expertise in metal additive manufacturing, laser processes and hybrid manufacturing (additive + subtractive). Her strong background and passion for manufacturing drive her pursuit of more sustainable solutions in advanced processes such as Laser-Directed Energy Deposition (LDED). Dr. Ribeiro is continually focused on pushing the frontiers of science in the field of Smart Manufacturing, with an emphasis on sustainable engineering practices.
Research
Research interests are within the areas of:
- Advanced manufacturing processes
- Metal additive manufacturing
- Process monitoring
- Signal processing
- Artificial intelligence
Teaching
Current teaching responsibilities regards the courses:
- KTEK0054 Robotics
- KTEK0053 Mechatronics
- KTEK0011 Digital Factory
- KTEK0065 Hands-on Smart Systems
Publications
- 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
(Other publication) - An analytical model for estimating process parameters input in L-DED based on bead geometry (2024)
- Manufacturing letters
(A1 Refereed original research article in a scientific journal) - Evaluation of different surface topography measurement methodologies for characterizing weld beads in shipbuilding (2024)
- Procedia CIRP
(A4 Refereed article in a conference publication ) - Hybrid FE-ML model for turning of 42CrMo4 steel (2024)
- CIRP Journal of Manufacturing Science and Technology
(A1 Refereed original research article in a scientific journal) - In-situ monitoring and online prediction of keyhole depth in laser welding by coaxial imaging (2024)
- Procedia CIRP
(A4 Refereed article in a conference publication ) - Abrasive and non-conventional post-processing techniques to improve surface finish of additively manufactured metals: a review (2023)
- Progress in Additive Manufacturing
(A2 Refereed review article in a scientific journal ) - A hybrid machine learning model for in-process estimation of printing distance in laser Directed Energy Deposition (2023)
- International Journal of Advanced Manufacturing Technology
(A1 Refereed original research article in a scientific journal) - Real-time prediction of deposited bead width in L-DED using semi-supervised transfer learning (2023)
- International Journal of Advanced Manufacturing Technology
(A1 Refereed original research article in a scientific journal) - In-process chatter detection in micro-milling using acoustic emission via machine learning classifiers (2022)
- International Journal of Advanced Manufacturing Technology
(A1 Refereed original research article in a scientific journal) - Micro-machining of additively manufactured metals: a review (2022)
- International Journal of Advanced Manufacturing Technology
(A2 Refereed review article in a scientific journal )
UTU Research Portal