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0224U033159,
(0124U003279)
,
Machine Learning Enhanced Additive Manufacturing
Підбір параметрів адитивного виробництва методом Робокастинг для побудови моделі машинного навчання
Zgalat-Lozynskyy Ostap B., Доктор технічних наук
19-12-2024
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.
Studies of the influence of input parameters on printing results were conducted. To begin with, based on previous studies, a model material (SiO2) and a plasticizer (10% rubber solution in gasoline) were selected. Among the input parameters for 3D printing were the printing speed (moving along the table), the extrusion speed, the nozzle diameter, and the nozzle height above the table in the X0 Y0 Z0 position.
Bilyi Vladyslav O.
Vasiliev Оleksandr O.
Zghalat-Lozynskyi Ostap B.
Krasikov Anton I.
Naumenko Vladyslav Yu.
Shevchuk Kateryna S.
2024-12-19
Updated: 2025-12-17
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