Kandice
Barros Ribeiro
University Lecturer, Mechanical Engineering
University Lecturer
Links
Areas of expertise
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.
Teaching
Current teaching responsibilities regards the courses:
- KTEK0054 Robotics
- KTEK0053 Mechatronics
- KTEK0011 Digital Factory
- KTEK0065 Hands-on Smart Systems
Research
Research interests are within the areas of:
- Advanced manufacturing processes
- Metal additive manufacturing
- Process monitoring
- Signal processing
- Artificial intelligence
Publications
Hybrid FE-ML model for turning of 42CrMo4 steel (2024)
CIRP Journal of Manufacturing Science and Technology
(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
(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
(O2 Muu julkaisu )
An analytical model for estimating process parameters input in L-DED based on bead geometry (2024)
Manufacturing letters
(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
(A4 Vertaisarvioitu artikkeli konferenssijulkaisussa)
Real-time prediction of deposited bead width in L-DED using semi-supervised transfer learning (2023)
International Journal of Advanced Manufacturing Technology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
Abrasive and non-conventional post-processing techniques to improve surface finish of additively manufactured metals: a review (2023)
Progress in Additive Manufacturing
(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
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )
In-process chatter detection in micro-milling using acoustic emission via machine learning classifiers (2022)
International Journal of Advanced Manufacturing Technology
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
Micro-machining of additively manufactured metals: a review (2022)
International Journal of Advanced Manufacturing Technology
(Vertaisarvioitu katsausartikkeli tieteellisessä aikakauslehdessä (A2))