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0225U002919,
(0124U003279)
,
Machine Learning Enhanced Additive Manufacturing
Формування набору даних для навчання та валідації (перевірки) моделі машинного навчання
Zhalat-Lozynskyi Ostap B., Доктор технічних наук
18-04-2025
Frantsevich Institute for Problems of Materials Science National Academy of Science of Ukraine
The goal of the project is to develop a new, data-driven approach to the control of the additive manufacturing process through the application of innovative principles based on machine learning.
As a result of the implementation of stage No. 2 of the research, the conducted research is aimed at preparing a data set that characterizes the relationship between the mean square deviations of geometric changes of products printed by the robocasting method from their digital counterparts depending on the printing parameters selected at the first stage of the study (printing speed, extrusion speed, temperature and humidity of the environment). As a result of the work, a data set suitable for building basic surrogate machine learning models for modeling the printing process was obtained.
Bilyi Vladyslav O.
Vasiliev Oleksandr O.
Zhalat-Lozynskyi Ostap B.
Krasikov Anton I.
Naumenko Vladyslav Yu.
Shevchuk Kateryna S.
2025-04-18
Updated: 2025-12-17
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