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Information × Registration Number 0225U002919, (0124U003279) , R & D reports Title Machine Learning Enhanced Additive Manufacturing popup.stage_title Формування набору даних для навчання та валідації (перевірки) моделі машинного навчання Head Zhalat-Lozynskyi Ostap B., Доктор технічних наук Registration Date 18-04-2025 Organization Frantsevich Institute for Problems of Materials Science National Academy of Science of Ukraine popup.description1 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. popup.description2  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. Product Description popup.authors Bilyi Vladyslav O. Vasiliev Oleksandr O. Zhalat-Lozynskyi Ostap B. Krasikov Anton I. Naumenko Vladyslav Yu. Shevchuk Kateryna S. popup.nrat_date 2025-04-18 Close